collector = new ArrayList<>();
+ final WayangPlan wayangPlan = Optimizer.convertWithConfig(wayangRel, this.getConfiguration(), collector);
+
+ this.execute(getJobName(), wayangPlan);
+
+ return new SqlQueryResult(createColumns(wayangRel.getRowType()), collector);
+ }
+
+ /**
+ * Creates a metadata snapshot from the same Calcite root schema that is
+ * used to validate and execute SQL queries.
+ *
+ * JDBC exposes schemas as single identifiers, whereas Calcite schemas
+ * can be nested. Therefore, this Phase 1 snapshot includes the root
+ * schema's tables and each immediate child schema's direct tables.
+ * Deeper nested schemas are deliberately omitted instead of publishing a
+ * dotted name that JDBC clients would quote as one, incorrect identifier.
+ *
+ * @return configured schemas, tables, and table row types
+ * @throws SQLException if a schema or table cannot expose its metadata
+ */
+ public SqlCatalogMetadata getCatalogMetadata() throws SQLException {
+ try {
+ final SchemaPlus rootSchema = this.calciteSchema.plus();
+ final RelDataTypeFactory typeFactory = new JavaTypeFactoryImpl();
+ final List schemas = new ArrayList<>();
+
+ if (!rootSchema.getTableNames().isEmpty()) {
+ schemas.add(this.createSchemaMetadata(rootSchema, "", typeFactory));
+ }
+
+ final List schemaNames = new ArrayList<>(rootSchema.getSubSchemaNames());
+ schemaNames.sort(Comparator.naturalOrder());
+ for (final String schemaName : schemaNames) {
+ final SchemaPlus schema = rootSchema.getSubSchema(schemaName);
+ if (schema != null) {
+ schemas.add(this.createSchemaMetadata(schema, schemaName, typeFactory));
+ }
+ }
+ return new SqlCatalogMetadata(schemas);
+ } catch (final RuntimeException e) {
+ final SQLException sqlException = findSqlException(e);
+ if (sqlException != null) {
+ throw sqlException;
+ }
+ throw new SQLException(
+ "Could not inspect the configured Calcite catalog.",
+ "HY000",
+ e
+ );
+ }
+ }
+
+ private static RuleSet createDefaultRuleSet() {
+ return RuleSets.ofList(
SubQueryRemoveRule.Config.FILTER.toRule(),
SubQueryRemoveRule.Config.JOIN.toRule(),
SubQueryRemoveRule.Config.PROJECT.toRule(),
@@ -206,20 +278,70 @@ public Collection executeSql(final String sql) throws SqlParseException
WayangRules.WAYANG_JOIN_RULE,
WayangRules.WAYANG_AGGREGATE_RULE,
WayangRules.WAYANG_SORT_RULE);
+ }
- final RelNode wayangRel = optimizer.optimize(
- relNode,
- relNode.getTraitSet().plus(WayangConvention.INSTANCE),
- rules);
-
- PrintUtils.print("After translating logical intermediate plan", wayangRel);
-
- final Collection collector = new ArrayList<>();
- final WayangPlan wayangPlan = Optimizer.convert(wayangRel, collector);
+ private static List createColumns(final RelDataType rowType) {
+ final List columns = new ArrayList<>(rowType.getFieldCount());
+ for (final RelDataTypeField field : rowType.getFieldList()) {
+ final RelDataType fieldType = field.getType();
+ final SqlTypeName sqlTypeName = fieldType.getSqlTypeName();
+ columns.add(new SqlColumn(
+ field.getName(),
+ field.getName(),
+ sqlTypeName.getName(),
+ sqlTypeName.getJdbcOrdinal(),
+ Math.max(0, fieldType.getPrecision()),
+ Math.max(0, fieldType.getScale()),
+ fieldType.isNullable()
+ ));
+ }
+ return columns;
+ }
- this.execute(getJobName(), wayangPlan);
+ private SqlSchemaMetadata createSchemaMetadata(
+ final SchemaPlus schema,
+ final String schemaName,
+ final RelDataTypeFactory typeFactory
+ ) throws SQLException {
+ final List tableNames = new ArrayList<>(schema.getTableNames());
+ tableNames.sort(Comparator.naturalOrder());
+ final List tables = new ArrayList<>(tableNames.size());
+ try {
+ for (final String tableName : tableNames) {
+ final Table table = schema.getTable(tableName);
+ if (table == null) {
+ continue;
+ }
+ final Schema.TableType tableType = table.getJdbcTableType();
+ tables.add(new SqlTableMetadata(
+ tableName,
+ tableType == null ? Schema.TableType.TABLE.jdbcName : tableType.jdbcName,
+ createColumns(table.getRowType(typeFactory))
+ ));
+ }
+ } catch (final RuntimeException e) {
+ final SQLException sqlException = findSqlException(e);
+ if (sqlException != null) {
+ throw sqlException;
+ }
+ throw new SQLException(
+ "Could not inspect Calcite schema '" + schemaName + "'.",
+ "HY000",
+ e
+ );
+ }
+ return new SqlSchemaMetadata(schemaName, tables);
+ }
- return collector;
+ private static SQLException findSqlException(final Throwable throwable) {
+ Throwable current = throwable;
+ while (current != null) {
+ if (current instanceof SQLException) {
+ return (SQLException) current;
+ }
+ current = current.getCause();
+ }
+ return null;
}
private static String getJobName() {
diff --git a/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlQueryResult.java b/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlQueryResult.java
new file mode 100644
index 000000000..e6b58b68e
--- /dev/null
+++ b/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlQueryResult.java
@@ -0,0 +1,47 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.api.sql.context;
+
+import org.apache.wayang.basic.data.Record;
+
+import java.util.ArrayList;
+import java.util.Collection;
+import java.util.List;
+
+/**
+ * Rows and result metadata produced by the Wayang SQL API.
+ */
+public class SqlQueryResult {
+
+ private final List columns;
+
+ private final Collection rows;
+
+ public SqlQueryResult(final List columns, final Collection rows) {
+ this.columns = List.copyOf(columns);
+ this.rows = new ArrayList<>(rows);
+ }
+
+ public List getColumns() {
+ return this.columns;
+ }
+
+ public Collection getRows() {
+ return new ArrayList<>(this.rows);
+ }
+}
diff --git a/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlSchemaMetadata.java b/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlSchemaMetadata.java
new file mode 100644
index 000000000..a63d58a43
--- /dev/null
+++ b/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlSchemaMetadata.java
@@ -0,0 +1,49 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.api.sql.context;
+
+import java.util.List;
+
+/**
+ * Metadata for one schema in the configured SQL catalog.
+ */
+public final class SqlSchemaMetadata {
+
+ private final String name;
+
+ private final List tables;
+
+ public SqlSchemaMetadata(final String name, final List tables) {
+ if (name == null) {
+ throw new IllegalArgumentException("Schema name must not be null.");
+ }
+ if (tables == null) {
+ throw new IllegalArgumentException("Tables must not be null.");
+ }
+ this.name = name;
+ this.tables = List.copyOf(tables);
+ }
+
+ public String getName() {
+ return this.name;
+ }
+
+ public List getTables() {
+ return this.tables;
+ }
+}
diff --git a/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlTableMetadata.java b/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlTableMetadata.java
new file mode 100644
index 000000000..e20158d3d
--- /dev/null
+++ b/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/context/SqlTableMetadata.java
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.api.sql.context;
+
+import java.util.List;
+
+/**
+ * Metadata for one table in the configured SQL catalog.
+ */
+public final class SqlTableMetadata {
+
+ private final String name;
+
+ private final String type;
+
+ private final List columns;
+
+ public SqlTableMetadata(
+ final String name,
+ final String type,
+ final List columns
+ ) {
+ if (name == null || name.isEmpty()) {
+ throw new IllegalArgumentException("Table name must not be empty.");
+ }
+ if (type == null || type.isEmpty()) {
+ throw new IllegalArgumentException("Table type must not be empty.");
+ }
+ if (columns == null) {
+ throw new IllegalArgumentException("Columns must not be null.");
+ }
+ this.name = name;
+ this.type = type;
+ this.columns = List.copyOf(columns);
+ }
+
+ public String getName() {
+ return this.name;
+ }
+
+ public String getType() {
+ return this.type;
+ }
+
+ public List getColumns() {
+ return this.columns;
+ }
+}
diff --git a/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/sources/fs/JavaCSVTableSource.java b/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/sources/fs/JavaCSVTableSource.java
index e37b236e8..75590e686 100755
--- a/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/sources/fs/JavaCSVTableSource.java
+++ b/wayang-api/wayang-api-sql/src/main/java/org/apache/wayang/api/sql/sources/fs/JavaCSVTableSource.java
@@ -53,6 +53,8 @@
public class JavaCSVTableSource extends UnarySource implements JavaExecutionOperator {
+ private static final char[] FALLBACK_SEPARATORS = new char[]{',', ';', '\t', '|'};
+
private final String sourcePath;
private final List fieldTypes;
@@ -123,7 +125,7 @@ private Record parseLine(final String s) {
assert this.getType().getDataUnitType().getTypeClass() == Record.class;
try {
- final String[] tokens = CsvRowConverter.parseLine(s, this.separator);
+ final String[] tokens = this.parseColumns(s);
if (tokens.length != fieldTypes.size())
throw new IllegalStateException(
String.format(
@@ -145,6 +147,25 @@ private Record parseLine(final String s) {
}
}
+ private String[] parseColumns(final String line) throws IOException {
+ final String[] tokens = CsvRowConverter.parseLine(line, this.separator);
+ if (tokens.length == this.fieldTypes.size()) {
+ return tokens;
+ }
+
+ for (final char fallbackSeparator : FALLBACK_SEPARATORS) {
+ if (fallbackSeparator == this.separator) {
+ continue;
+ }
+ final String[] fallbackTokens = CsvRowConverter.parseLine(line, fallbackSeparator);
+ if (fallbackTokens.length == this.fieldTypes.size()) {
+ return fallbackTokens;
+ }
+ }
+
+ return tokens;
+ }
+
@Override
public List getSupportedInputChannels(final int index) {
return Collections.singletonList(FileChannel.HDFS_TSV_DESCRIPTOR);
@@ -158,8 +179,12 @@ public List getSupportedOutputChannels(final int index) {
/**
* Copied from {@link FileUtils} as a quick work around to read CSV file after
- * skipping
- * header row.
+ * skipping the header row.
+ *
+ * Calcite's file adapter supports typed headers such as
+ * {@code id:int,name:string} and untyped headers such as {@code id,name}.
+ * It derives the row type before this source is executed, so the runtime
+ * reader only skips the header and validates data rows against that row type.
*
* Creates a {@link Stream} of a lines of the file.
*
@@ -174,50 +199,13 @@ private static Stream streamLines(final String path) {
if (!lineIterator.hasNext()) {
throw new IllegalStateException(String.format("CSV file '%s' is empty. Expected a header row (e.g., 'id:int,name:string').",path));
}
- String headerLine = lineIterator.next(); // read and skip header line
- validateHeaderLine(path, headerLine);
+ lineIterator.next(); // read and skip header line
return StreamSupport.stream(Spliterators.spliteratorUnknownSize(lineIterator, 0), false);
} catch (final IOException e) {
throw new WayangException(String.format("%s failed to read %s.", FileUtils.class, path), e);
}
}
- /**
- * Validates the CSV header for Calcite compatibility.
- * Checks that each column follows the 'name:type' format
- * (e.g., 'id:int,name:string,email:string') and that commas
- * are used as the header separator.
- *
- * @param path the filesystem path to the CSV file
- * @param headerLine the first line of the CSV file
- */
- private static void validateHeaderLine(final String path, final String headerLine) {
- final String[] headerColumns = headerLine.split(","); // split header row into columns
-
- int colonCount = 0;
- for (int i = 0; i < headerLine.length(); i++) {
- if (headerLine.charAt(i) == ':') {
- colonCount++;
- }
- }
-
- for (final String column : headerColumns) {
- if (!column.trim().contains(":")) {
- throw new IllegalStateException(String.format(
- "CSV file '%s': header column '%s' missing required type. "
- + "Expected 'name:type' format (e.g., 'id:int'). Header: '%s'.",
- path, column.trim(), headerLine));
- }
- }
-
- if (headerColumns.length != colonCount) {
- throw new IllegalStateException(String.format(
- "CSV file '%s': column count mismatch. Expected %d comma-separated 'name:type' columns "
- + "but found %d. Header: '%s'.",
- path, colonCount, headerColumns.length, headerLine));
- }
- }
-
/**
* Creates an {@link Iterator} over the lines of a given {@code path} (that
* resides in the given {@code fileSystem}).
diff --git a/wayang-api/wayang-api-sql/src/test/java/org/apache/wayang/api/sql/SqlToWayangRelTest.java b/wayang-api/wayang-api-sql/src/test/java/org/apache/wayang/api/sql/SqlToWayangRelTest.java
index 77537826d..e4ff79de8 100755
--- a/wayang-api/wayang-api-sql/src/test/java/org/apache/wayang/api/sql/SqlToWayangRelTest.java
+++ b/wayang-api/wayang-api-sql/src/test/java/org/apache/wayang/api/sql/SqlToWayangRelTest.java
@@ -29,6 +29,7 @@
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.sql.SQLException;
+import java.sql.Types;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
@@ -81,6 +82,7 @@
import org.apache.wayang.api.sql.calcite.schema.SchemaUtils;
import org.apache.wayang.api.sql.calcite.utils.ModelParser;
import org.apache.wayang.api.sql.context.SqlContext;
+import org.apache.wayang.api.sql.context.SqlQueryResult;
import org.apache.wayang.basic.data.Record;
import org.apache.wayang.basic.data.Tuple2;
import org.apache.wayang.core.api.Configuration;
@@ -224,6 +226,23 @@ void javaFilterWithCastUsingNumbers() throws Exception {
assertTrue(result.stream().allMatch(field -> field.getField(1).equals(1)));
}
+ @Test
+ void executeSqlWithMetadataReturnsRowsAndColumns() throws Exception {
+ final SqlContext sqlContext = this.createSqlContext("/data/exampleInt.csv");
+
+ final SqlQueryResult result = sqlContext.executeSqlWithMetadata(
+ "SELECT NAMEA, NAMEB FROM fs.exampleInt"
+ );
+
+ assertTrue(!result.getRows().isEmpty());
+ assertEquals(Arrays.asList("NAMEA", "NAMEB"), result.getColumns().stream()
+ .map(column -> column.getName())
+ .collect(Collectors.toList()));
+ assertEquals("NAMEA", result.getColumns().get(0).getLabel());
+ assertEquals(Types.INTEGER, result.getColumns().get(1).getJdbcType());
+ assertEquals("INTEGER", result.getColumns().get(1).getTypeName());
+ }
+
@Test
void javaFilterWithCast() throws Exception {
final SqlContext sqlContext = this.createSqlContext("/data/largeLeftTableIndex.csv");
@@ -831,6 +850,22 @@ void exampleCustomDelimiter() throws Exception {
assertEquals(result.stream().findFirst().get().getInt(0), 3);
}
+ @Test
+ void exampleCommaDelimitedUntypedHeader() throws Exception {
+ final SqlContext sqlContext = createSqlContext("/data/exampleCommaUntyped.csv");
+
+ final Tuple2, WayangPlan> t = this.buildCollectorAndWayangPlan(sqlContext,
+ "SELECT count(*) FROM fs.exampleCommaUntyped" //
+ );
+
+ final Collection result = t.field0;
+ final WayangPlan wayangPlan = t.field1;
+ sqlContext.execute(wayangPlan);
+
+ assertEquals(result.size(), 1);
+ assertEquals(result.stream().findFirst().get().getInt(0), 3);
+ }
+
@Test
void sqlApiMultiConditionJoinGeneratesJdbcSql() throws Exception {
final JavaTypeFactoryImpl typeFactory = new JavaTypeFactoryImpl();
diff --git a/wayang-api/wayang-api-sql/src/test/resources/data/exampleCommaUntyped.csv b/wayang-api/wayang-api-sql/src/test/resources/data/exampleCommaUntyped.csv
new file mode 100644
index 000000000..4c93da84e
--- /dev/null
+++ b/wayang-api/wayang-api-sql/src/test/resources/data/exampleCommaUntyped.csv
@@ -0,0 +1,4 @@
+id,name,score
+1,Alice,10.5
+2,Bob,20.0
+3,Carol,30.5
diff --git a/wayang-jdbc/DEVELOPMENT_LOG.md b/wayang-jdbc/DEVELOPMENT_LOG.md
new file mode 100644
index 000000000..d047c0242
--- /dev/null
+++ b/wayang-jdbc/DEVELOPMENT_LOG.md
@@ -0,0 +1,228 @@
+
+
+# Wayang JDBC Development Log
+
+## Design Baseline
+
+The external JDBC layer is a read-only gateway. Apache Wayang does not own
+table storage, so JDBC operations that imply database-owned mutable state are
+not emulated. Updates, DDL, transactions, savepoints, procedures, batches,
+generated keys, and writable result sets are explicitly unsupported.
+
+The first implementation uses:
+
+```text
+JDBC client -> driver -> TCP protocol -> server -> SqlContext -> Wayang execution
+```
+
+Query results are materialized in memory and exposed through paged server
+cursors. Streaming execution is intentionally deferred.
+
+## Foundation Completed
+
+The initial implementation established:
+
+* the protocol, driver, and server Maven modules
+* a versioned length-prefixed JSON protocol
+* driver service registration and `jdbc:wayang://` URL parsing
+* SQL API query results containing both rows and Calcite-derived columns
+* logical server sessions, query dispatch, fetch cursors, and protocol errors
+* the driver socket client and the first `Connection`, `Statement`,
+ `ResultSet`, `ResultSetMetaData`, and `DatabaseMetaData` implementations
+
+## 2026-07-23 — Phase 1 Production Completion
+
+### Read-only boundary
+
+* Added an authoritative server-side Calcite AST check before query execution.
+* Accepted query nodes, including read-only `WITH` and `EXPLAIN` forms.
+* Rejected DDL, DML, transaction commands, calls, and other state-changing
+ statements with `UNSUPPORTED_OPERATION` and SQLState `0A000`.
+* Added a conservative lexical fallback so unsupported write statements remain
+ rejected even when Calcite cannot parse their syntax.
+
+### SQL results and JDBC objects
+
+* Corrected `ResultSet` cursor states for empty, before-first, on-row, and
+ after-last results.
+* Hardened response identifiers, cursor invariants, column definitions, and row
+ widths against malformed protocol data.
+* Added JDBC-default value coercion based on `ColumnInfo`, including exact
+ decimal decoding, binary data, temporal values, primitive range checks, and
+ JDBC 4.2 typed `getObject`.
+* Completed common string, numeric, temporal, stream, metadata, and
+ `wasNull()` access paths.
+* Made fetch-size changes affect later fetches and applied maximum-row limits
+ while iterating.
+* Tracked statements from their connection and closed dependent result sets and
+ server cursors deterministically.
+* Kept query cancellation, query timeout, writable results, and unsupported
+ statement forms explicit instead of reporting capabilities that are not
+ implemented.
+
+### Catalog metadata
+
+* Added immutable SQL catalog, schema, and table metadata snapshots to
+ `SqlContext`.
+* Derived tables and columns from the same configured Calcite schema used for
+ query validation and execution.
+* Implemented JDBC-shaped schema, table, and column responses with exact
+ catalog selection, wildcard identifier filtering, table-type filtering, and
+ JDBC ordering.
+* Added useful SQL type information and read-only capability reporting for
+ JDBC metadata consumers.
+* Corrected metadata result ordering and type/class mappings.
+
+### Transport and server lifecycle
+
+* Aligned the driver and server default port at `9999`.
+* Added bounded client, session, cursor, and fetch resources.
+* Bound logical sessions to the socket that created them and released sessions
+ and cursors on disconnect.
+* Validated statement ownership when closing or cancelling cursors.
+* Added a protocol ping for connection validation.
+* Made terminal protocol/transport failures invalidate the client connection.
+* Added deterministic server startup rollback and shutdown of sockets,
+ sessions, cursors, and worker threads.
+* Prevented cursor leaks or lost batches when a result cannot be encoded.
+
+### Scope intentionally deferred
+
+The current request explicitly excluded adding unit or end-to-end test sources.
+The next validation phase should add focused protocol, driver, server, paging,
+metadata, getter, lifecycle, and `DriverManager` loopback coverage.
+
+External compatibility passes with DBeaver and DataGrip are also deferred. The
+driver currently uses normal Maven transitive dependencies and does not produce
+a shaded JDBC-tool bundle.
+
+### Known Phase 1 limitations
+
+* Query results are fully materialized before cursor paging.
+* JDBC cancellation cannot interrupt a Wayang job that is already running.
+* Authentication, authorization, and TLS are not implemented.
+* Prepared statements and advanced JDBC metadata are not implemented.
+* Nested Calcite schema hierarchies cannot be losslessly represented by the
+ current single JDBC schema field and are not flattened into dotted names.
+
+### Verification
+
+Production sources were compiled on Java 17 with focused Maven reactors.
+The final serial verification commands are:
+
+```bash
+env JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:$PATH ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -DskipTests -Dmaven.javadoc.skip=true package
+```
+
+```bash
+env JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:$PATH ./mvnw -pl :wayang-api-sql -am -DskipTests -Dmaven.javadoc.skip=true compile
+```
+
+## 2026-07-27 - First Java Client Test Scope
+
+The first automated validation scope now uses a plain Java JDBC client. It does
+not depend on DBeaver, DataGrip, or another external tool.
+
+Added tests:
+
+* `ProtocolMessageCodecTest` for ping message round-trip, decimal row payloads,
+ and maximum frame enforcement.
+* `WayangJdbcUrlTest` for URL acceptance, host/port/database parsing, property
+ precedence, percent decoding, and invalid URL rejection.
+* `WayangJdbcClientProtocolTest` for driver handling of mismatched request IDs,
+ server EOF, and unsupported-operation protocol errors.
+* `CursorStoreTest` for cursor paging consistency, failed response factories,
+ cursor replacement, connection cleanup, and capacity enforcement.
+* `JdbcServerSessionManagerTest` for logical connection ownership, per-client
+ limits, total limits, and client cleanup.
+* `JdbcRequestDispatcherTest` for server-side read-only rejection, cursor paging
+ and final-fetch cleanup, client ownership, and connection-close cleanup.
+* `DefaultSqlMetadataProviderTest` for JDBC metadata catalog selection, wildcard
+ filtering, escaped patterns, table-type filtering, column attributes, and
+ ordering.
+* `WayangJdbcServerJavaClientTest` for a `DriverManager` loopback client
+ against an in-process `WayangJdbcServer`.
+
+The loopback test covers:
+
+* `Connection`, `Statement`, `ResultSet`, `ResultSetMetaData`, and
+ `DatabaseMetaData` through standard `java.sql` interfaces
+* cursor paging through fetch size
+* object, primitive, decimal, date, binary, and null getters
+* `wasNull()`
+* server-side rejection of write SQL before query execution
+* metadata browsing for schemas, tables, and columns
+* `Connection.isValid(...)` using the protocol ping
+
+Implementation adjustment:
+
+* `Connection.isValid(...)` now sends the server ping instead of only checking
+ local closed state.
+* `WayangJdbcServer` has a package-private constructor for tests to inject a
+ metadata provider while keeping the public API unchanged.
+
+Verification:
+
+```bash
+env -u npm_config_prefix JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:/usr/bin:/bin ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -Dtest=ProtocolMessageCodecTest,WayangJdbcUrlTest,WayangJdbcClientProtocolTest,CursorStoreTest,JdbcServerSessionManagerTest,JdbcRequestDispatcherTest,DefaultSqlMetadataProviderTest,WayangJdbcServerJavaClientTest -Dsurefire.failIfNoSpecifiedTests=false -Dmaven.javadoc.skip=true test
+```
+
+Result: build success, 29 JDBC gateway tests run, 0 failures.
+
+The unfiltered JDBC reactor was also run:
+
+```bash
+env -u npm_config_prefix JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:/usr/bin:/bin ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -Dmaven.javadoc.skip=true test
+```
+
+Result: build success across the selected JDBC modules and their local reactor
+dependencies. The JDBC modules ran 29 tests with 0 failures. One upstream
+Python dependency test was skipped because `numpy` is not installed in this
+environment; it is not related to the JDBC module.
+
+Use `-am` for this command in the current snapshot workspace. Running only the
+three JDBC modules without `-am` can resolve same-version Wayang snapshot
+dependencies from the remote snapshot repository instead of the local checkout.
+
+## 2026-07-27 - Beginner Demo Quickstart
+
+Added a self-contained demo under `wayang-jdbc/demo` so users do not need to
+manually create a Calcite model or Wayang properties file just to verify the
+JDBC gateway.
+
+The demo includes:
+
+* `data/people.csv` sample input data
+* `start-demo-server.sh`, which builds the server artifacts, writes a concrete
+ `/tmp/wayang-jdbc-demo/wayang.properties` file with the correct absolute data
+ path, and starts `WayangJdbcServer` on `127.0.0.1:9999`
+* `WayangJdbcDemoClient.java`, a plain Java `DriverManager` client
+* `run-demo-client.sh`, which builds the driver artifacts, compiles the demo
+ client, connects to the server, and runs a read-only `SELECT`
+
+The README quickstart now starts with these two commands:
+
+```bash
+bash wayang-jdbc/demo/start-demo-server.sh
+```
+
+```bash
+bash wayang-jdbc/demo/run-demo-client.sh
+```
diff --git a/wayang-jdbc/JDBC_IMPLEMENTATION_PLAN.md b/wayang-jdbc/JDBC_IMPLEMENTATION_PLAN.md
new file mode 100644
index 000000000..dd098b76d
--- /dev/null
+++ b/wayang-jdbc/JDBC_IMPLEMENTATION_PLAN.md
@@ -0,0 +1,418 @@
+
+
+# Wayang JDBC Implementation Plan
+
+## Goal
+
+Build the first external JDBC interface for Apache Wayang.
+
+Target architecture:
+
+```text
+JDBC client -> Wayang JDBC driver -> Wayang JDBC server -> Wayang SQL API -> Wayang execution
+```
+
+Wayang is not a database and does not own table storage. The JDBC layer is a
+read-only SQL gateway for query execution and metadata browsing.
+
+Unsupported write or database-owned operations should throw
+`SQLFeatureNotSupportedException` unless JDBC requires a default value.
+
+## Scope
+
+Supported first:
+
+* Open JDBC connections through `DriverManager`.
+* Create JDBC statements.
+* Execute read-only SQL queries.
+* Read result rows through `ResultSet`.
+* Read result column metadata through `ResultSetMetaData`.
+* Browse basic metadata through `DatabaseMetaData`.
+
+Unsupported first:
+
+* `CREATE`, `INSERT`, `UPDATE`, `DELETE`, `MERGE`.
+* Transactions and savepoints.
+* Stored procedures.
+* Writable result sets.
+* Batch updates.
+* Generated keys.
+* Full JDBC compliance.
+
+## Start To End Plan
+
+1. Create JDBC module structure.
+ * Add `wayang-jdbc-protocol`.
+ * Add `wayang-jdbc-client`.
+ * Add `wayang-jdbc-server`.
+
+2. Define shared protocol.
+ * Add message envelope.
+ * Add message types.
+ * Add request and response payloads.
+ * Add length-prefixed JSON codec.
+ * Add protocol tests.
+
+3. Add driver registration and URL parsing.
+ * Add `WayangDriver`.
+ * Add `WayangJdbcUrl`.
+ * Add service loader file for `java.sql.Driver`.
+ * Support URL format `jdbc:wayang://host:port[/database]`.
+ * Add URL parsing tests.
+
+4. Extend Wayang SQL API for metadata.
+ * Add SQL result object with rows and columns.
+ * Add SQL column metadata model.
+ * Add `SqlContext.executeSqlWithMetadata(String)`.
+ * Keep old `executeSql(String)` behavior.
+ * Derive JDBC metadata from Calcite row types.
+
+5. Implement server-side protocol bridge.
+ * Add TCP server.
+ * Add client handler.
+ * Add request dispatcher.
+ * Add logical session manager.
+ * Add in-memory cursor store.
+ * Add SQL query executor boundary.
+ * Adapt SQL API results into protocol rows and columns.
+ * Add dispatcher and socket tests.
+
+6. Implement driver-side protocol client.
+ * Open socket to server.
+ * Send `OPEN_CONNECTION`.
+ * Store server `connectionId`.
+ * Send `EXECUTE_QUERY`.
+ * Send `FETCH`.
+ * Send `CLOSE_CURSOR`.
+ * Send `CANCEL_QUERY`.
+ * Send `CLOSE_CONNECTION`.
+ * Convert protocol errors into `SQLException`.
+ * Add driver-only socket tests.
+
+7. Implement JDBC `Connection`.
+ * Add `WayangConnection`.
+ * Hold `WayangJdbcClient`.
+ * Implement `close`.
+ * Implement `isClosed`.
+ * Implement read-only and auto-commit defaults.
+ * Keep transactions unsupported.
+ * Wire `WayangDriver.connect(...)` to return `WayangConnection`.
+ * Add connection tests.
+
+8. Implement JDBC `Statement`.
+ * Add `WayangStatement`.
+ * Implement `executeQuery(String)`.
+ * Generate statement IDs.
+ * Support fetch size.
+ * Close current result set on statement close.
+ * Reject update and batch methods.
+ * Add statement tests.
+
+9. Implement JDBC `ResultSet`.
+ * Add `WayangResultSet`.
+ * Hold first query result batch.
+ * Implement `next`.
+ * Fetch more rows when cursor has more data.
+ * Implement `getObject`.
+ * Implement `getString`.
+ * Implement primitive getters.
+ * Implement `wasNull`.
+ * Close server cursor when needed.
+ * Add result set tests.
+
+10. Implement JDBC `ResultSetMetaData`.
+ * Add `WayangResultSetMetaData`.
+ * Use protocol `ColumnInfo`.
+ * Implement column count.
+ * Implement column name and label.
+ * Implement JDBC type and type name.
+ * Implement precision, scale, and nullability.
+ * Add metadata tests.
+
+11. Add end-to-end JDBC tests.
+ * Start `WayangJdbcServer` with fake SQL executor.
+ * Connect through `DriverManager`.
+ * Create statement.
+ * Execute query.
+ * Read rows.
+ * Read result metadata.
+ * Verify cursor paging.
+ * Verify close behavior.
+
+12. Implement basic `DatabaseMetaData`.
+ * Add driver and product information.
+ * Add read-only capability flags.
+ * Add schemas, tables, and columns after server metadata support exists.
+ * Keep unsupported metadata explicit.
+
+13. Test with JDBC tools.
+ * Try DBeaver.
+ * Try DataGrip.
+ * Implement only required additional JDBC methods.
+ * Keep unsupported write operations explicit.
+
+## Completed Work In Sequence
+
+1. Added module structure.
+ * `wayang-jdbc/wayang-jdbc-protocol`
+ * `wayang-jdbc-client`
+ * `wayang-jdbc/wayang-jdbc-server`
+
+2. Added documentation.
+ * `wayang-jdbc/README.md`
+ * `wayang-jdbc/DEVELOPMENT_LOG.md`
+
+3. Added protocol module.
+ * `MessageEnvelope`
+ * `MessageType`
+ * `ProtocolConstants`
+ * `ProtocolException`
+ * `ProtocolMessageCodec`
+ * Connection messages.
+ * Query messages.
+ * Fetch messages.
+ * Cursor close messages.
+ * Cancel messages.
+ * Metadata message placeholders.
+ * Error messages.
+
+4. Added initial driver skeleton.
+ * `WayangDriver`
+ * `WayangJdbcUrl`
+ * `META-INF/services/java.sql.Driver`
+ * URL validation and connection-property parsing.
+
+5. Added SQL API query metadata support.
+ * `SqlColumn`
+ * `SqlQueryResult`
+ * `SqlContext.executeSqlWithMetadata(String)`
+ * Existing `executeSql(String)` still works.
+
+6. Added server-side JDBC bridge.
+ * `WayangJdbcServer`
+ * `JdbcClientHandler`
+ * `JdbcRequestDispatcher`
+ * `JdbcServerSessionManager`
+ * `CursorStore`
+ * `SqlQueryExecutor`
+ * `WayangSqlQueryExecutor`
+ * `SqlQueryResultAdapter`
+
+7. Server can now:
+ * Open logical connections.
+ * Execute SQL through `SqlContext.executeSqlWithMetadata`.
+ * Return rows.
+ * Return column metadata.
+ * Page results through in-memory cursors.
+ * Fetch more rows.
+ * Close cursors.
+ * Close connections.
+ * Return protocol errors.
+
+8. Added driver-side protocol client.
+ * `WayangJdbcClient`
+ * Opens socket to server.
+ * Sends `OPEN_CONNECTION`.
+ * Sends `EXECUTE_QUERY`.
+ * Sends `FETCH`.
+ * Sends `CLOSE_CURSOR`.
+ * Sends `CANCEL_QUERY`.
+ * Sends `CLOSE_CONNECTION`.
+ * Converts protocol errors into JDBC exceptions.
+
+9. Added JDBC connection layer.
+ * `WayangConnection`
+ * `WayangDriver.connect(...)` now opens `WayangJdbcClient`.
+ * `WayangDriver.connect(...)` now returns a read-only JDBC connection.
+ * Connection close sends `CLOSE_CONNECTION`.
+ * Transactions, savepoints, metadata, statements, prepared statements, and
+ callable statements are still explicitly unsupported.
+
+10. Test classes are deferred for the final implementation pass.
+ * Re-add focused unit tests after the main JDBC path is complete.
+ * Add end-to-end JDBC tests after `Connection`, `Statement`, `ResultSet`,
+ and `ResultSetMetaData` work together.
+
+11. Added JDBC statement and query result layer.
+ * `WayangStatement`
+ * `WayangConnection.createStatement()` now returns a statement.
+ * `Statement.executeQuery(String)` sends queries through `WayangJdbcClient`.
+ * `WayangResultSet`
+ * `WayangResultSetMetaData`
+ * Result sets can move through rows with `next`.
+ * Result sets can fetch more rows from server cursors.
+ * Result sets support basic object, string, primitive, and metadata access.
+ * Result set close releases server cursors when needed.
+ * Update, batch, generated-key, writable result set, and unsupported methods
+ remain explicit unsupported operations.
+
+12. Hardened plain Java JDBC result handling.
+ * `Statement.setMaxRows(...)` is applied during result iteration.
+ * Reaching the maximum row limit closes the server cursor when needed.
+ * Added common result getters for character streams, binary streams,
+ `getNString`, and URL values.
+ * Added explicit unsupported handling for SQL ARRAY, BLOB, CLOB, NCLOB, and
+ SQLXML result values.
+ * Added read-only row state defaults for `rowUpdated`, `rowInserted`, and
+ `rowDeleted`.
+ * Kept scroll navigation unsupported because result sets are forward-only.
+
+13. Added basic JDBC database metadata.
+ * `Connection.getMetaData()` now returns metadata instead of unsupported.
+ * Metadata reports Apache Wayang driver and product information.
+ * Metadata reports read-only capability flags.
+ * Transactions, stored procedures, batches, generated keys, savepoints, and
+ writable result sets are reported unsupported.
+ * Schemas, catalogs, tables, columns, table types, type info, keys, indexes,
+ procedures, functions, and other common metadata methods return JDBC
+ `ResultSet` objects.
+ * Unsupported advanced metadata returns correctly shaped empty results or
+ explicit unsupported exceptions as required by JDBC.
+
+14. Connected metadata requests through the JDBC protocol.
+ * Driver sends `GET_SCHEMAS`, `GET_TABLES`, and `GET_COLUMNS`.
+ * Server dispatches metadata requests and returns `METADATA_RESULT`.
+ * Server tracks connection database information in logical sessions.
+ * Added a server-side `SqlMetadataProvider` boundary.
+ * Default provider reads schemas, tables, and columns from the same Calcite
+ catalog used by `SqlContext`.
+ * Metadata filters implement exact catalog selection, JDBC wildcard
+ matching, table-type filtering, and JDBC-required ordering.
+
+15. Completed the Phase 1 read-only production boundary.
+ * Server accepts only Calcite query nodes and rejects DDL, DML,
+ transactions, calls, and other state-changing SQL with SQLState `0A000`.
+ * Logical sessions are owned by their client socket and are cleaned up on
+ disconnect.
+ * Server client, cursor, per-connection cursor, and fetch resources are
+ bounded.
+ * Cursor close and cancel requests validate statement ownership.
+ * Server startup, bind rollback, disconnect, and shutdown paths release
+ sockets, sessions, cursors, and worker threads deterministically.
+ * Driver and server use the same default port, `9999`.
+
+16. Hardened JDBC behavior and wire type fidelity.
+ * `Connection` owns and closes child statements safely.
+ * `Statement` lifecycle, fetch sizing, maximum rows, and result replacement
+ are deterministic.
+ * `ResultSet` implements correct empty/before/on/after cursor states.
+ * Protocol responses are checked for identifiers, column definitions, row
+ widths, cursor invariants, and metadata shape.
+ * JDBC values are coerced by declared type so numeric width, decimal
+ precision, binary values, and temporal values agree with metadata.
+ * Terminal protocol and transport failures invalidate the JDBC connection.
+ * A protocol ping supports `Connection.isValid`.
+ * Unsupported timeout, cancellation, write, transaction, and writable
+ result operations remain explicit.
+
+17. Added first-scope Java JDBC client tests.
+ * Added protocol codec coverage for ping messages, decimal row payloads, and
+ frame-size rejection.
+ * Added driver URL parsing coverage for default ports, database paths,
+ property precedence, and invalid URLs.
+ * Added a plain Java `DriverManager` loopback test that starts
+ `WayangJdbcServer` on an ephemeral port and uses standard JDBC
+ `Connection`, `Statement`, `ResultSet`, `ResultSetMetaData`, and
+ `DatabaseMetaData` calls.
+ * Covered cursor paging, typed getters, `wasNull`, metadata browsing,
+ read-only write rejection, and `Connection.isValid` ping behavior.
+ * Added a package-private server constructor for test metadata-provider
+ injection without changing the public server API.
+
+18. Added focused robustness tests for the completed Java client scope.
+ * Added driver socket-protocol tests for mismatched request IDs, server EOF,
+ and unsupported-operation errors.
+ * Added server cursor tests for paging consistency, failed response
+ factories, cursor replacement, connection cleanup, and capacity limits.
+ * Added server session-manager tests for client ownership and connection
+ limits.
+ * Added dispatcher tests for read-only enforcement, cursor paging and
+ cleanup, client ownership, and connection-close behavior.
+ * Added metadata-provider tests for JDBC catalog selection, wildcard
+ matching, escaped patterns, table-type filtering, column attributes, and
+ ordering.
+
+## Current State
+
+Working:
+
+* Protocol layer.
+* URL parsing.
+* SQL API metadata result support.
+* JDBC server query bridge.
+* Driver-side protocol client.
+* `DriverManager.getConnection(...)` path up to `WayangConnection`.
+* Read-only JDBC connection defaults and close behavior.
+* `Connection.createStatement()`.
+* `Statement.executeQuery(String)`.
+* Forward-only read-only result sets.
+* Basic `ResultSetMetaData`.
+* Basic `DatabaseMetaData`.
+* Calcite-backed metadata protocol path for schemas, tables, and columns.
+* Plain Java JDBC query flow for connection, statement, result set iteration,
+ getters, metadata, and close behavior.
+* Server-enforced read-only SQL classification.
+* Defensive protocol validation and JDBC value coercion.
+* Bounded server resources and disconnect cleanup.
+* First-scope plain Java JDBC client tests.
+* Focused negative protocol, cursor lifecycle, session ownership, dispatcher,
+ and metadata-provider tests.
+
+Not complete yet:
+
+* DBeaver and DataGrip compatibility validation is still required.
+* A live Calcite-model metadata fixture beyond the existing SQL API regression
+ and provider tests can be added if needed for tool compatibility hardening.
+* Streaming execution, authentication, TLS, prepared statements, and running
+ Wayang-job cancellation remain future phases.
+* A shaded all-in-one JDBC-tool artifact is not currently produced; Maven and
+ Gradle consumers use the normal transitive runtime dependencies.
+
+## Next Immediate Work
+
+1. Run DBeaver and DataGrip compatibility passes and add only the read-only
+ methods those tools require.
+2. Decide whether release packaging should include a shaded JDBC-tool bundle.
+3. Add a live Calcite-model metadata fixture if external JDBC tools expose a
+ metadata gap not covered by the current SQL API and provider tests.
+4. Design streaming execution and real Wayang job cancellation as later
+ protocol revisions.
+
+## Verification Commands Used
+
+```bash
+env JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:$PATH ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -DskipTests -Dmaven.javadoc.skip=true package
+```
+
+```bash
+env JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:$PATH ./mvnw -pl :wayang-api-sql -am -DskipTests -Dmaven.javadoc.skip=true compile
+```
+
+```bash
+env JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:$PATH ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -Dtest=ProtocolMessageCodecTest,WayangJdbcUrlTest,WayangJdbcServerJavaClientTest -Dsurefire.failIfNoSpecifiedTests=false -Dmaven.javadoc.skip=true test
+```
+
+```bash
+env -u npm_config_prefix JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:/usr/bin:/bin ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -Dtest=ProtocolMessageCodecTest,WayangJdbcUrlTest,WayangJdbcClientProtocolTest,CursorStoreTest,JdbcServerSessionManagerTest,JdbcRequestDispatcherTest,DefaultSqlMetadataProviderTest,WayangJdbcServerJavaClientTest -Dsurefire.failIfNoSpecifiedTests=false -Dmaven.javadoc.skip=true test
+```
+
+```bash
+env -u npm_config_prefix JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:/usr/bin:/bin ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -Dmaven.javadoc.skip=true test
+```
diff --git a/wayang-jdbc/README.md b/wayang-jdbc/README.md
new file mode 100644
index 000000000..f17312a81
--- /dev/null
+++ b/wayang-jdbc/README.md
@@ -0,0 +1,405 @@
+
+
+# Wayang JDBC
+
+This module provides the first external JDBC interface for Apache Wayang.
+
+Apache Wayang is not a database and does not own table storage. The JDBC layer
+is a read-only SQL gateway:
+
+```text
+JDBC client -> Wayang JDBC driver -> Wayang JDBC server -> Wayang SQL API -> Wayang execution
+```
+
+The Phase 1 production path supports standard JDBC connections, read-only
+statement execution, paged result-set access, result metadata, and catalog
+browsing for the Calcite model configured in the server.
+
+See `DEVELOPMENT_LOG.md` for the date-wise implementation log, decisions,
+verification, and remaining work.
+
+## Module Roles
+
+* `wayang-jdbc-protocol` contains the versioned messages and length-prefixed
+ JSON codec shared by the driver and server.
+
+* `wayang-jdbc-client` implements the client-side `java.sql` interfaces and
+ communicates with the server over TCP.
+
+* `wayang-jdbc-server` owns logical JDBC sessions, delegates queries to the
+ Wayang SQL API, and returns rows and Calcite-backed metadata.
+
+The existing `wayang-platforms/wayang-jdbc-template`,
+`wayang-platforms/wayang-postgres`, `wayang-platforms/wayang-sqlite3`, and
+`wayang-platforms/wayang-generic-jdbc` modules solve the opposite direction:
+Wayang reading from JDBC-accessible databases. They are not the external JDBC
+client interface.
+
+## First Supported Scope
+
+The first usable version is intentionally read-only. Its supported surface is:
+
+* `DriverManager.getConnection("jdbc:wayang://host:port[/database]")`
+* forward-only, read-only `Connection`, `Statement`, and `ResultSet` objects
+* `Statement.executeQuery(String)` and `Statement.execute(String)` for queries
+* cursor paging through `ResultSet.next()`
+* object, string, numeric, binary, and temporal result getters
+* JDBC 4.2 typed `ResultSet.getObject(..., Class)`
+* `ResultSet.wasNull()` and common stream getters
+* `ResultSetMetaData` basics: column count, name, label, JDBC type, type name,
+ precision, scale, nullability.
+* `DatabaseMetaData` driver/product information, capability flags, SQL type
+ information, schemas, tables, and columns
+
+The following remain deliberately unsupported and throw
+`SQLFeatureNotSupportedException` with SQLState `0A000` where JDBC exposes an
+operation:
+
+* `CREATE TABLE`, `INSERT`, `UPDATE`, `DELETE`, `MERGE`
+* transactions and savepoints
+* prepared and callable statements
+* stored procedures
+* writable or scrollable result sets
+* batched statements
+* generated keys
+* query cancellation and timeouts
+* SQL features not supported by the Wayang SQL API
+
+The server independently parses every submitted statement and accepts only
+Calcite query nodes, including read-only `WITH` and `EXPLAIN` forms. This
+server-side gate is authoritative even when a caller bypasses normal JDBC
+methods such as `executeUpdate`.
+
+## Connecting
+
+The URL format is:
+
+```text
+jdbc:wayang://host[:port][/database][?property=value&...]
+```
+
+The default port is `9999`. Connection properties can be supplied either in
+the URL query or through the `Properties` passed to `DriverManager`; URL query
+values take precedence. Supported client properties are exposed through
+`Driver.getPropertyInfo`.
+
+`user` and `password` are carried in the opening protocol request for future
+authentication integration. Phase 1 does not authenticate or encrypt
+connections, so the gateway should be used only on a trusted network.
+
+The server entry point accepts:
+
+```text
+WayangJdbcServer [host] [port] [configuration-file]
+```
+
+It defaults to `127.0.0.1:9999`. The server configuration must provide the
+Calcite model used by `SqlContext`, including the `wayang.calcite.model`
+property required by the SQL API.
+
+## Quickstart: Plain Java Client
+
+If you only want to verify that the JDBC module works, use the bundled demo.
+It creates the required configuration file for you.
+
+Terminal 1, from the repository root:
+
+```bash
+bash wayang-jdbc/demo/start-demo-server.sh
+```
+
+Terminal 2, from the repository root:
+
+```bash
+bash wayang-jdbc/demo/run-demo-client.sh
+```
+
+The demo starts the server on `127.0.0.1:9999`, lists the CSV files configured
+under schema `fs`, lets you select one, connects through `DriverManager`, and
+executes SQL against the selected logical table.
+
+For example, selecting `people.csv` runs queries such as:
+
+```sql
+SELECT COUNT(*) AS total_rows FROM fs.people
+SELECT * FROM fs.people LIMIT 5
+```
+
+The sample data is in `wayang-jdbc/demo/data/`. The CSV files remain in that
+directory; the demo exposes them as logical SQL-style tables such as
+`fs.people` and queries them through the client-side JDBC layer and JDBC
+server.
+
+The external JDBC interface has two running pieces:
+
+1. Start a `WayangJdbcServer` process with a Wayang configuration that points
+ to the Calcite model.
+2. Put `wayang-jdbc-client` and its runtime dependencies on the client
+ application's classpath, then connect with normal `java.sql` APIs.
+
+### 1. Build the JDBC artifacts
+
+From the repository root:
+
+```bash
+env JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:$PATH ./mvnw -pl :wayang-jdbc-server -am -DskipTests -Dmaven.javadoc.skip=true install
+```
+
+This builds and installs the JDBC server, driver, protocol, and required
+Wayang snapshot artifacts into the local Maven repository.
+
+### 2. Prepare the server configuration
+
+Create or reuse a Wayang configuration file that contains the Calcite model
+used for SQL validation, query planning, execution, and metadata browsing:
+
+```properties
+wayang.calcite.model={"version":"1.0","defaultSchema":"fs","schemas":[...]}
+```
+
+The value is the inline Calcite model JSON string expected by the Wayang SQL
+API. Table names, schema names, and metadata visible through JDBC come from
+this model. The optional `/database` part of the JDBC URL is exposed as the
+JDBC catalog/session database; it does not create storage.
+
+For manual startup, the configuration path must point to a real file. Do not
+paste placeholder paths such as `/path/to/wayang.properties`. If you are only
+testing locally, prefer the bundled demo script because it creates this file
+for you.
+
+### 3. Start the Wayang JDBC server
+
+Build a runtime classpath for the server module:
+
+```bash
+./mvnw -pl :wayang-jdbc-server -DincludeScope=runtime -Dmdep.outputFile=target/runtime-classpath.txt dependency:build-classpath
+```
+
+Start the server:
+
+```bash
+java -cp "wayang-jdbc/wayang-jdbc-server/target/apache-wayang-jdbc-server-1.1.2-SNAPSHOT.jar:$(cat wayang-jdbc/wayang-jdbc-server/target/runtime-classpath.txt)" org.apache.wayang.jdbc.server.WayangJdbcServer 127.0.0.1 9999 /path/to/wayang.properties
+```
+
+Arguments are:
+
+```text
+WayangJdbcServer [host] [port] [configuration-file]
+```
+
+If omitted, `host` defaults to `127.0.0.1` and `port` defaults to `9999`.
+
+### 4. Add the driver to a Java application
+
+For a Maven client project, use the driver dependency:
+
+```xml
+
+ org.apache.wayang
+ wayang-jdbc-driver
+ 1.1.2-SNAPSHOT
+
+```
+
+The driver depends on `wayang-jdbc-protocol` and Jackson. Maven and Gradle
+resolve those dependencies transitively after the artifacts have been installed
+or published.
+
+If you run a plain `javac`/`java` command or configure a JDBC GUI tool from
+local files, include all runtime JARs. You can copy them with:
+
+```bash
+./mvnw -pl :wayang-jdbc-driver -DincludeScope=runtime -DoutputDirectory=target/driver-libs dependency:copy-dependencies
+```
+
+Then put these on the client classpath:
+
+* `wayang-jdbc-client/target/apache-wayang-jdbc-driver-1.1.2-SNAPSHOT.jar`
+* every JAR in `wayang-jdbc-client/target/driver-libs/`
+
+The JDBC driver class is:
+
+```text
+org.apache.wayang.jdbc.driver.WayangDriver
+```
+
+Java applications normally do not need to instantiate the driver directly
+because the driver JAR contains the `META-INF/services/java.sql.Driver` service
+loader entry. Calling `Class.forName(...)` is still safe for explicit loading.
+
+### 5. Connect and query from plain Java
+
+```java
+import java.sql.Connection;
+import java.sql.DriverManager;
+import java.sql.ResultSet;
+import java.sql.ResultSetMetaData;
+import java.sql.Statement;
+import java.util.Properties;
+
+public class WayangJdbcExample {
+
+ public static void main(String[] args) throws Exception {
+ Class.forName("org.apache.wayang.jdbc.driver.WayangDriver");
+
+ Properties properties = new Properties();
+ properties.setProperty("user", "demo");
+ properties.setProperty("connectTimeout", "5000");
+
+ String url = "jdbc:wayang://127.0.0.1:9999/analytics";
+
+ try (Connection connection = DriverManager.getConnection(url, properties);
+ Statement statement = connection.createStatement();
+ ResultSet resultSet = statement.executeQuery("SELECT * FROM PEOPLE")) {
+
+ ResultSetMetaData metaData = resultSet.getMetaData();
+ int columnCount = metaData.getColumnCount();
+
+ while (resultSet.next()) {
+ for (int column = 1; column <= columnCount; column++) {
+ System.out.printf(
+ "%s=%s%n",
+ metaData.getColumnLabel(column),
+ resultSet.getObject(column)
+ );
+ }
+ }
+ }
+ }
+}
+```
+
+URL examples:
+
+```text
+jdbc:wayang://127.0.0.1:9999
+jdbc:wayang://127.0.0.1:9999/analytics
+jdbc:wayang://127.0.0.1:9999/analytics?user=demo&connectTimeout=5000
+```
+
+Supported connection properties:
+
+* `user` - optional user name carried to the server for future authentication.
+* `password` - optional password carried to the server for future
+ authentication.
+* `connectTimeout` - TCP connect and initial handshake timeout in
+ milliseconds.
+
+The connection is read-only. Use `SELECT`, `VALUES`, `TABLE`, and read-only
+forms supported by the Wayang SQL API. Operations such as `CREATE`, `INSERT`,
+`UPDATE`, `DELETE`, `MERGE`, transactions, procedures, and writable result sets
+are intentionally unsupported.
+
+## Query and Result Contract
+
+`SqlContext.executeSqlWithMetadata(String)` returns:
+
+```java
+SqlQueryResult {
+ List columns;
+ Collection rows;
+}
+```
+
+Column metadata comes from the optimized Calcite `RelNode` row type. The
+server converts each value to a stable wire representation, and the driver
+coerces it back according to the advertised JDBC type. This preserves decimal
+precision and the JDBC default mappings for numeric, binary, and temporal
+values.
+
+Phase 1 materializes each query result in server memory. The protocol exposes
+in-memory cursor IDs so the driver can fetch it in pages; this is paging, not
+streaming execution. Server-side cursor and connection limits prevent
+unbounded resource growth, and disconnecting a client releases its sessions
+and cursors.
+
+## Metadata Contract
+
+The server answers metadata requests from the same Calcite root schema used to
+validate and execute SQL:
+
+* schemas from the configured Calcite root schema
+* tables from schema table maps
+* columns from each table row type
+* Java/Calcite type mapping to `java.sql.Types`
+* JDBC wildcard matching for schema, table, and column patterns
+* exact matching for catalog selectors
+
+Metadata rows use the JDBC-mandated column names, shapes, and sort order for
+the implemented `DatabaseMetaData` methods. Metadata result sets are
+read-only.
+
+## Package Boundary
+
+The current external JDBC modules use `org.apache.wayang.jdbc.driver` and
+`org.apache.wayang.jdbc.protocol`. Internal JDBC platform code already uses
+`org.apache.wayang.jdbc.*` under `wayang-platforms/wayang-jdbc-template`.
+
+To keep implementation risk low, the current package layout is retained for the
+first JDBC gateway implementation. Classes should still be named clearly with
+driver/server/protocol responsibilities to avoid mixing external JDBC gateway
+code with internal JDBC platform operators.
+
+## Packaging for JDBC Tools
+
+The driver artifact has normal Maven runtime dependencies on
+`wayang-jdbc-protocol` and Jackson. Maven and Gradle consumers receive those
+dependencies transitively. A JDBC tool configured from local JAR files must be
+given the driver JAR and its runtime dependencies; the current build does not
+produce a shaded all-in-one driver.
+
+## Test Scope
+
+The first automated client scope is a plain Java JDBC client. The test starts
+`WayangJdbcServer` on an ephemeral local port and connects with
+`DriverManager.getConnection(...)`, then verifies query execution, cursor
+paging, result metadata, typed getters, `wasNull`, metadata browsing, read-only
+write rejection, and `Connection.isValid(...)`.
+
+Additional focused tests cover driver protocol failures, server EOF handling,
+unsupported-operation error mapping, server-side cursor lifecycle, logical
+session ownership, dispatcher cleanup, and JDBC metadata filtering/order.
+
+Run the focused Java-client JDBC gateway tests from the repository root with:
+
+```bash
+env JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:$PATH ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -Dtest=ProtocolMessageCodecTest,WayangJdbcUrlTest,WayangJdbcClientProtocolTest,CursorStoreTest,JdbcServerSessionManagerTest,JdbcRequestDispatcherTest,DefaultSqlMetadataProviderTest,WayangJdbcServerJavaClientTest -Dsurefire.failIfNoSpecifiedTests=false -Dmaven.javadoc.skip=true test
+```
+
+Run the unfiltered JDBC reactor tests with:
+
+```bash
+env JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 PATH=/usr/lib/jvm/java-17-openjdk-amd64/bin:$PATH ./mvnw -pl :wayang-jdbc-protocol,:wayang-jdbc-driver,:wayang-jdbc-server -am -Dmaven.javadoc.skip=true test
+```
+
+The `-am` flag is intentional in this snapshot workspace so same-version
+Wayang dependencies are built from the checkout rather than resolved from a
+remote snapshot repository.
+
+## Phase 1 Limitations
+
+* Results are fully materialized before paging.
+* A running Wayang job cannot yet be interrupted through JDBC cancellation.
+* Authentication, authorization, and TLS are not implemented.
+* Nested Calcite schema hierarchies are not flattened into invalid dotted JDBC
+ schema identifiers; browsing is limited to the representable schema level.
+* DBeaver and DataGrip compatibility validation, streaming, optional live
+ Calcite metadata fixture hardening, and JDBC-tool packaging remain follow-up
+ work.
diff --git a/wayang-jdbc/demo/CsvSelectionOperationsDemo.java b/wayang-jdbc/demo/CsvSelectionOperationsDemo.java
new file mode 100644
index 000000000..579be44e3
--- /dev/null
+++ b/wayang-jdbc/demo/CsvSelectionOperationsDemo.java
@@ -0,0 +1,212 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.sql.Connection;
+import java.sql.DriverManager;
+import java.sql.ResultSet;
+import java.sql.ResultSetMetaData;
+import java.sql.Statement;
+import java.util.Comparator;
+import java.util.List;
+import java.util.Locale;
+import java.util.Optional;
+import java.util.Properties;
+import java.util.Scanner;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+public class CsvSelectionOperationsDemo {
+
+ private static final Path DEFAULT_DATA_DIRECTORY = Paths.get("wayang-jdbc", "demo", "data");
+
+ private static final String DEFAULT_SCHEMA = "fs";
+
+ private static final String DEFAULT_JDBC_URL = "jdbc:wayang://127.0.0.1:9999/demo";
+
+ private static final int SAMPLE_ROW_LIMIT = 5;
+
+ public static void main(final String[] args) throws Exception {
+ final Path dataDirectory = args.length > 0 ? Paths.get(args[0]) : DEFAULT_DATA_DIRECTORY;
+ final String schema = args.length > 1 ? args[1] : DEFAULT_SCHEMA;
+ final String jdbcUrl = args.length > 2 ? args[2] : DEFAULT_JDBC_URL;
+
+ final List csvFiles = listCsvFiles(dataDirectory);
+ if (csvFiles.isEmpty()) {
+ System.out.println("No CSV files found in " + dataDirectory.toAbsolutePath().normalize());
+ return;
+ }
+
+ printAvailableCsvFiles(csvFiles, schema);
+
+ final Path selectedFile = selectCsvFile(csvFiles);
+ final String tableName = tableName(selectedFile);
+ final String qualifiedTableName = schema + "." + tableName;
+
+ System.out.println();
+ System.out.println("Selected file: " + selectedFile.getFileName());
+ System.out.println("SQL table name: " + qualifiedTableName);
+ System.out.println("JDBC URL: " + jdbcUrl);
+
+ Class.forName("org.apache.wayang.jdbc.driver.WayangDriver");
+
+ final Properties properties = new Properties();
+ properties.setProperty("user", "demo");
+ properties.setProperty("connectTimeout", "5000");
+
+ try (Connection connection = DriverManager.getConnection(jdbcUrl, properties);
+ Statement statement = connection.createStatement()) {
+ System.out.println();
+ System.out.println("Connected to " + jdbcUrl);
+
+ runCountQuery(statement, qualifiedTableName);
+ runPreviewQuery(statement, qualifiedTableName);
+ }
+ }
+
+ private static List listCsvFiles(final Path dataDirectory) throws Exception {
+ if (!Files.isDirectory(dataDirectory)) {
+ throw new IllegalArgumentException(
+ "Data directory does not exist: " + dataDirectory.toAbsolutePath().normalize()
+ );
+ }
+
+ try (Stream files = Files.list(dataDirectory)) {
+ return files
+ .filter(Files::isRegularFile)
+ .filter(CsvSelectionOperationsDemo::isCsvFile)
+ .sorted(Comparator.comparing(path -> path.getFileName().toString()))
+ .collect(Collectors.toList());
+ }
+ }
+
+ private static void printAvailableCsvFiles(final List csvFiles, final String schema) {
+ System.out.println("Available CSV files:");
+ for (int index = 0; index < csvFiles.size(); index++) {
+ final Path csvFile = csvFiles.get(index);
+ System.out.printf(
+ Locale.ROOT,
+ "%d. %-40s SQL table: %s.%s%n",
+ index + 1,
+ csvFile.getFileName(),
+ schema,
+ tableName(csvFile)
+ );
+ }
+ }
+
+ private static Path selectCsvFile(final List csvFiles) {
+ System.out.println();
+ System.out.print("Select CSV by number or name, for example heart_disease_risk: ");
+
+ try (Scanner scanner = new Scanner(System.in)) {
+ while (scanner.hasNextLine()) {
+ final String input = scanner.nextLine().trim();
+ final Optional selected = resolveSelection(input, csvFiles);
+ if (selected.isPresent()) {
+ return selected.get();
+ }
+
+ System.out.print("Invalid selection. Try number or CSV/table name: ");
+ }
+ }
+
+ throw new IllegalArgumentException("No CSV file was selected.");
+ }
+
+ private static Optional resolveSelection(final String input, final List csvFiles) {
+ if (input.isBlank()) {
+ return Optional.empty();
+ }
+
+ try {
+ final int selectedIndex = Integer.parseInt(input);
+ if (selectedIndex >= 1 && selectedIndex <= csvFiles.size()) {
+ return Optional.of(csvFiles.get(selectedIndex - 1));
+ }
+ } catch (NumberFormatException ignored) {
+ // Continue with name-based matching.
+ }
+
+ final String normalizedInput = normalize(input);
+ return csvFiles.stream()
+ .filter(path -> {
+ final String fileName = normalize(path.getFileName().toString());
+ final String tableName = normalize(tableName(path));
+ return fileName.equals(normalizedInput)
+ || tableName.equals(normalizedInput)
+ || fileName.contains(normalizedInput)
+ || tableName.contains(normalizedInput);
+ })
+ .findFirst();
+ }
+
+ private static void runCountQuery(final Statement statement, final String qualifiedTableName) throws Exception {
+ final String countSql = "SELECT COUNT(*) AS total_rows FROM " + qualifiedTableName;
+ System.out.println();
+ System.out.println("Query: " + countSql);
+
+ try (ResultSet resultSet = statement.executeQuery(countSql)) {
+ if (resultSet.next()) {
+ System.out.println("Total rows: " + resultSet.getObject(1));
+ }
+ }
+ }
+
+ private static void runPreviewQuery(final Statement statement, final String qualifiedTableName) throws Exception {
+ final String previewSql = "SELECT * FROM " + qualifiedTableName + " LIMIT " + SAMPLE_ROW_LIMIT;
+ System.out.println();
+ System.out.println("Query: " + previewSql);
+
+ try (ResultSet resultSet = statement.executeQuery(previewSql)) {
+ printResultSet(resultSet);
+ }
+ }
+
+ private static void printResultSet(final ResultSet resultSet) throws Exception {
+ final ResultSetMetaData metaData = resultSet.getMetaData();
+ final int columnCount = metaData.getColumnCount();
+ int rowCount = 0;
+
+ while (resultSet.next()) {
+ rowCount++;
+ System.out.println("Row " + rowCount + ":");
+ for (int column = 1; column <= columnCount; column++) {
+ System.out.println(" " + metaData.getColumnLabel(column) + " = " + resultSet.getObject(column));
+ }
+ }
+
+ if (rowCount == 0) {
+ System.out.println("No rows returned.");
+ }
+ }
+
+ private static boolean isCsvFile(final Path path) {
+ return path.getFileName().toString().toLowerCase(Locale.ROOT).endsWith(".csv");
+ }
+
+ private static String tableName(final Path csvFile) {
+ final String fileName = csvFile.getFileName().toString();
+ return fileName.substring(0, fileName.length() - ".csv".length());
+ }
+
+ private static String normalize(final String value) {
+ return value.toLowerCase(Locale.ROOT).replace(".csv", "").trim();
+ }
+}
diff --git a/wayang-jdbc/demo/README.md b/wayang-jdbc/demo/README.md
new file mode 100644
index 000000000..bd7ba78d6
--- /dev/null
+++ b/wayang-jdbc/demo/README.md
@@ -0,0 +1,70 @@
+
+
+# Wayang JDBC Demo
+
+This demo is the easiest way to verify that CSV files exposed through the demo
+Calcite model can be queried through the Wayang JDBC driver implementation.
+
+Run from the repository root.
+
+To start the Wayang JDBC server with the demo CSV directory exposed as schema
+`fs`, run:
+
+```bash
+bash wayang-jdbc/demo/start-demo-server.sh
+```
+
+To inspect the available CSV files, select one, and execute SQL through the
+client-side JDBC layer and JDBC server, run:
+
+```bash
+bash wayang-jdbc/demo/run-demo-client.sh
+```
+
+The server script:
+
+* builds the JDBC server and dependencies
+* creates `/tmp/wayang-jdbc-demo/wayang.properties`
+* points the Calcite file schema at `wayang-jdbc/demo/data`
+* starts `org.apache.wayang.jdbc.server.WayangJdbcServer` on `127.0.0.1:9999`
+
+The client script:
+
+* compiles `CsvSelectionOperationsDemo.java`
+* lists CSV files from `wayang-jdbc/demo/data`
+* shows each file's SQL-style table name, such as `fs.people`
+* lets you select a CSV file by number or name
+* connects to `jdbc:wayang://127.0.0.1:9999/demo`
+* executes SQL through the client-side JDBC layer and JDBC server
+
+For example, selecting `heart_disease_risk` analyzes
+`data/heart_disease_risk_2026.csv` as the logical table
+`fs.heart_disease_risk_2026`.
+
+The demo runs:
+
+```sql
+SELECT COUNT(*) AS total_rows FROM fs.heart_disease_risk_2026
+SELECT * FROM fs.heart_disease_risk_2026 LIMIT 5
+```
+
+The demo is intentionally read-only. The CSV files remain in `data/`; Wayang
+does not store them as database tables. The JDBC server exposes them through
+the configured SQL model and executes read-only queries over them.
diff --git a/wayang-jdbc/demo/data/ecommerce_sales_analytics.csv b/wayang-jdbc/demo/data/ecommerce_sales_analytics.csv
new file mode 100644
index 000000000..eb3f97ccd
--- /dev/null
+++ b/wayang-jdbc/demo/data/ecommerce_sales_analytics.csv
@@ -0,0 +1,5001 @@
+order_id,order_date,customer_id,product_category,region,quantity,unit_price,discount,payment_method,delivery_days,customer_rating,revenue
+10001,1/1/2022,1102,Beauty,South,7,373.65,0.28,Wallet,10,4.7,1883.2
+10002,1/2/2022,1435,Clothing,South,7,47.74,0.09,Card,6,3.9,304.1
+10003,1/3/2022,1860,Beauty,East,3,311.28,0.31,COD,6,2.5,644.35
+10004,1/4/2022,1270,Electronics,West,5,524.47,0.02,Wallet,6,1.6,2569.9
+10005,1/5/2022,1106,Clothing,West,5,139.87,0.33,Wallet,4,4.9,468.56
+10006,1/6/2022,1071,Electronics,West,2,264.44,0.2,Card,3,3.3,423.1
+10007,1/7/2022,1700,Clothing,South,6,564.6,0.23,Card,1,1.8,2608.45
+10008,1/8/2022,1020,Beauty,North,6,265.71,0.13,Card,2,3.7,1387.01
+10009,1/9/2022,1614,Clothing,South,6,224.65,0.27,Card,2,1.4,983.97
+10010,1/10/2022,1121,Clothing,West,4,272.71,0.06,Card,10,4.5,1025.39
+10011,1/11/2022,1466,Clothing,West,6,318.88,0.02,COD,7,1.4,1875.01
+10012,1/12/2022,1214,Electronics,West,3,384.71,0.14,COD,11,1.9,992.55
+10013,1/13/2022,1330,Beauty,South,7,483.41,0.3,COD,6,1.4,2368.71
+10014,1/14/2022,1458,Clothing,West,7,279.48,0.26,COD,8,1.4,1447.71
+10015,1/15/2022,1087,Clothing,East,4,493.23,0.18,Card,9,3.1,1617.79
+10016,1/16/2022,1372,Clothing,West,2,327.23,0.2,Wallet,5,3.7,523.57
+10017,1/17/2022,1099,Clothing,North,3,213.01,0.05,Wallet,11,4.2,607.08
+10018,1/18/2022,1871,Electronics,East,7,399.9,0.29,COD,3,3.8,1987.5
+10019,1/19/2022,1663,Home,West,3,434.87,0.28,Wallet,4,2.5,939.32
+10020,1/20/2022,1130,Electronics,East,7,341.46,0.23,Card,11,3.2,1840.47
+10021,1/21/2022,1661,Home,West,1,48.12,0.16,COD,8,4.7,40.42
+10022,1/22/2022,1308,Home,North,2,114.38,0.34,Card,3,2.6,150.98
+10023,1/23/2022,1769,Home,West,2,181.9,0.31,Card,2,2,251.02
+10024,1/24/2022,1343,Clothing,East,1,180.34,0.23,Card,7,3.1,138.86
+10025,1/25/2022,1491,Clothing,North,4,408.95,0.13,COD,4,2.2,1423.15
+10026,1/26/2022,1413,Electronics,South,7,25.73,0.22,Card,8,2,140.49
+10027,1/27/2022,1805,Home,North,7,457.07,0.2,COD,1,4.1,2559.59
+10028,1/28/2022,1385,Electronics,North,7,170.23,0.14,Card,8,4.6,1024.78
+10029,1/29/2022,1191,Clothing,North,6,196.36,0.11,Wallet,5,3,1048.56
+10030,1/30/2022,1955,Electronics,East,6,323.83,0.14,COD,2,4.1,1670.96
+10031,1/31/2022,1276,Electronics,North,6,141.32,0.2,Card,1,1.7,678.34
+10032,2/1/2022,1160,Clothing,West,6,532.42,0.15,Card,6,3.2,2715.34
+10033,2/2/2022,1459,Electronics,North,6,64.94,0.09,Wallet,9,3.5,354.57
+10034,2/3/2022,1313,Home,North,1,274.96,0.27,Card,9,3,200.72
+10035,2/4/2022,1021,Electronics,West,2,511.91,0.19,COD,9,1.5,829.29
+10036,2/5/2022,1252,Electronics,West,4,375.27,0.02,COD,11,3.9,1471.06
+10037,2/6/2022,1747,Clothing,South,3,186.01,0.13,Card,4,4.4,485.49
+10038,2/7/2022,1856,Electronics,North,6,261.14,0.31,Card,6,3.5,1081.12
+10039,2/8/2022,1560,Electronics,East,1,428.42,0.26,COD,10,1.7,317.03
+10040,2/9/2022,1474,Home,North,7,584.36,0.11,Card,6,1.3,3640.56
+10041,2/10/2022,1058,Electronics,North,4,537.49,0.33,Card,5,2.2,1440.47
+10042,2/11/2022,1510,Home,West,4,215.32,0.03,Card,2,1.1,835.44
+10043,2/12/2022,1681,Electronics,South,4,598.95,0.34,Card,7,4.4,1581.23
+10044,2/13/2022,1475,Electronics,North,1,17.05,0.09,Card,1,3.8,15.52
+10045,2/14/2022,1699,Home,East,3,31.16,0,Wallet,6,3.3,93.48
+10046,2/15/2022,1975,Electronics,North,6,496.95,0.15,COD,5,4.6,2534.44
+10047,2/16/2022,1782,Electronics,East,4,131.69,0.13,COD,5,1.4,458.28
+10048,2/17/2022,1189,Clothing,West,1,50.55,0.19,Card,8,3.9,40.95
+10049,2/18/2022,1957,Electronics,South,7,153.73,0.28,Card,9,1.6,774.8
+10050,2/19/2022,1686,Home,North,2,264.27,0.29,Wallet,7,1.2,375.26
+10051,2/20/2022,1957,Electronics,South,7,442.38,0.14,COD,10,1.5,2663.13
+10052,2/21/2022,1562,Home,North,1,380.24,0.15,Card,8,4.8,323.2
+10053,2/22/2022,1875,Beauty,East,1,154.01,0.05,Card,2,2.8,146.31
+10054,2/23/2022,1566,Clothing,South,1,309.41,0.02,COD,2,1.2,303.22
+10055,2/24/2022,1243,Beauty,North,4,556.84,0.22,Wallet,8,3.3,1737.34
+10056,2/25/2022,1831,Clothing,West,1,491.78,0.02,Card,6,1.8,481.94
+10057,2/26/2022,1504,Beauty,East,2,204.07,0.26,COD,8,1,302.02
+10058,2/27/2022,1130,Electronics,South,4,589.62,0.19,COD,9,4,1910.37
+10059,2/28/2022,1484,Home,North,7,429.54,0.07,Wallet,9,1.6,2796.31
+10060,3/1/2022,1818,Clothing,South,2,51.53,0.19,Wallet,11,4.8,83.48
+10061,3/2/2022,1646,Clothing,North,5,35.57,0.06,Card,6,3.4,167.18
+10062,3/3/2022,1020,Clothing,East,7,113.52,0.15,COD,8,1.3,675.44
+10063,3/4/2022,1840,Home,West,1,440.8,0.28,COD,2,1.9,317.38
+10064,3/5/2022,1166,Electronics,East,6,122.49,0.16,COD,8,3.4,617.35
+10065,3/6/2022,1273,Electronics,South,6,314.22,0.05,Wallet,3,2.4,1791.05
+10066,3/7/2022,1387,Home,South,4,69.56,0.25,Wallet,1,3.1,208.68
+10067,3/8/2022,1600,Home,North,6,553.72,0.07,Card,7,4.2,3089.76
+10068,3/9/2022,1315,Beauty,East,7,216.22,0.26,Card,1,4.2,1120.02
+10069,3/10/2022,1013,Home,North,4,546.26,0.17,COD,11,3.8,1813.58
+10070,3/11/2022,1241,Beauty,East,7,567.75,0.16,Card,1,4.5,3338.37
+10071,3/12/2022,1776,Home,South,1,18.59,0.3,Card,1,1.8,13.01
+10072,3/13/2022,1345,Electronics,North,3,286.52,0.25,Card,4,1.7,644.67
+10073,3/14/2022,1564,Electronics,North,3,29.42,0.01,Wallet,4,4.2,87.38
+10074,3/15/2022,1897,Home,East,2,546.59,0.1,Card,10,2.3,983.86
+10075,3/16/2022,1339,Clothing,West,1,318.27,0.3,COD,11,3,222.79
+10076,3/17/2022,1091,Electronics,East,6,58.84,0.01,Card,6,4,349.51
+10077,3/18/2022,1366,Clothing,West,1,79.51,0.19,Card,10,2.6,64.4
+10078,3/19/2022,1955,Beauty,East,5,239.35,0.25,Card,3,1.5,897.56
+10079,3/20/2022,1454,Clothing,South,3,565.04,0.22,Card,10,3.7,1322.19
+10080,3/21/2022,1427,Clothing,North,6,420.35,0.27,Wallet,6,4.3,1841.13
+10081,3/22/2022,1508,Clothing,East,7,522.56,0.25,Wallet,7,1.1,2743.44
+10082,3/23/2022,1775,Electronics,South,7,229.38,0.24,COD,11,3.3,1220.3
+10083,3/24/2022,1942,Clothing,East,3,40.28,0.29,Card,1,2.9,85.8
+10084,3/25/2022,1034,Clothing,North,1,584.98,0.23,COD,6,2,450.43
+10085,3/26/2022,1205,Electronics,East,6,25.05,0.14,Card,10,1.6,129.26
+10086,3/27/2022,1080,Home,West,2,569.38,0.17,Card,1,1.8,945.17
+10087,3/28/2022,1931,Clothing,North,7,230.68,0.25,COD,7,3.9,1211.07
+10088,3/29/2022,1561,Home,West,1,20.9,0.31,COD,10,3.1,14.42
+10089,3/30/2022,1871,Beauty,South,2,418.16,0.1,Card,5,4.9,752.69
+10090,3/31/2022,1387,Electronics,South,6,588.62,0.12,Card,10,2,3107.91
+10091,4/1/2022,1001,Home,East,3,579.89,0.33,Wallet,4,4.8,1165.58
+10092,4/2/2022,1389,Clothing,West,5,109.15,0.2,Card,1,3.1,436.6
+10093,4/3/2022,1565,Beauty,West,4,121.03,0.06,Wallet,9,1.6,455.07
+10094,4/4/2022,1105,Electronics,North,3,345.84,0.23,Wallet,7,1.6,798.89
+10095,4/5/2022,1771,Home,West,2,387.82,0.35,COD,2,3.4,504.17
+10096,4/6/2022,1821,Clothing,West,1,447.56,0.29,Card,4,4.3,317.77
+10097,4/7/2022,1476,Electronics,North,7,120.91,0.26,COD,4,4,626.31
+10098,4/8/2022,1702,Electronics,North,6,576.02,0.07,Card,8,3.6,3214.19
+10099,4/9/2022,1401,Home,West,3,388.66,0.31,Card,2,1.7,804.53
+10100,4/10/2022,1729,Home,East,7,510.52,0.18,COD,11,1.4,2930.38
+10101,4/11/2022,1555,Electronics,North,7,330.94,0.31,Card,5,1,1598.44
+10102,4/12/2022,1161,Clothing,North,5,257.35,0.12,Card,10,1.4,1132.34
+10103,4/13/2022,1201,Clothing,West,6,586.65,0.02,COD,8,4.1,3449.5
+10104,4/14/2022,1957,Home,West,2,355.54,0.17,COD,6,4.6,590.2
+10105,4/15/2022,1995,Electronics,North,6,522.12,0.09,Card,4,2,2850.78
+10106,4/16/2022,1269,Beauty,West,6,572.68,0.25,Card,5,4.2,2577.06
+10107,4/17/2022,1862,Electronics,North,1,410.08,0.33,Card,2,1.8,274.75
+10108,4/18/2022,1815,Clothing,East,4,336.13,0.24,Card,5,2,1021.84
+10109,4/19/2022,1270,Electronics,East,7,17.05,0.31,COD,3,1.9,82.35
+10110,4/20/2022,1455,Electronics,North,2,38.41,0.16,COD,3,1.2,64.53
+10111,4/21/2022,1461,Clothing,North,1,132.5,0.27,COD,7,1.8,96.72
+10112,4/22/2022,1726,Electronics,South,7,123.81,0.3,Card,3,2.5,606.67
+10113,4/23/2022,1251,Home,South,4,164.03,0.25,Card,4,2.6,492.09
+10114,4/24/2022,1701,Electronics,West,1,193.39,0.18,Card,7,2.2,158.58
+10115,4/25/2022,1295,Clothing,West,4,225.64,0.22,Card,3,3.1,704
+10116,4/26/2022,1724,Electronics,North,4,261.01,0.25,Card,10,2.5,783.03
+10117,4/27/2022,1719,Electronics,North,4,72.84,0.09,Card,10,4.9,265.14
+10118,4/28/2022,1748,Electronics,South,1,39.78,0.28,Card,2,4.2,28.64
+10119,4/29/2022,1337,Clothing,South,6,409.26,0.33,COD,10,4.7,1645.23
+10120,4/30/2022,1878,Clothing,North,4,329.34,0.16,COD,7,3.2,1106.58
+10121,5/1/2022,1052,Clothing,East,6,274.82,0.25,COD,5,3.7,1236.69
+10122,5/2/2022,1791,Clothing,East,7,386.15,0.26,Card,1,1.7,2000.26
+10123,5/3/2022,1921,Clothing,West,7,499.19,0.23,Wallet,10,4,2690.63
+10124,5/4/2022,1216,Electronics,North,2,265.2,0.19,Wallet,8,1.9,429.62
+10125,5/5/2022,1763,Clothing,North,5,390.05,0.31,Card,3,1.6,1345.67
+10126,5/6/2022,1187,Beauty,West,6,572.84,0.16,COD,11,1.2,2887.11
+10127,5/7/2022,1379,Clothing,South,7,506.18,0.02,Wallet,7,2.9,3472.39
+10128,5/8/2022,1492,Home,South,5,264.21,0.3,COD,6,2.1,924.73
+10129,5/9/2022,1040,Electronics,East,4,392.16,0.24,Card,10,4.9,1192.17
+10130,5/10/2022,1156,Home,North,5,118.59,0.3,COD,6,2,415.06
+10131,5/11/2022,1014,Home,South,5,342.91,0.05,COD,8,4.5,1628.82
+10132,5/12/2022,1812,Clothing,East,4,589.08,0.01,Card,4,2.3,2332.76
+10133,5/13/2022,1064,Beauty,East,6,318.21,0.33,Wallet,4,4,1279.2
+10134,5/14/2022,1856,Electronics,East,4,557.67,0.05,COD,3,3.6,2119.15
+10135,5/15/2022,1838,Electronics,South,2,253.29,0.28,Card,1,3.2,364.74
+10136,5/16/2022,1520,Home,South,3,599.32,0.29,COD,10,2.7,1276.55
+10137,5/17/2022,1343,Home,North,1,353.84,0.25,COD,3,3.7,265.38
+10138,5/18/2022,1128,Electronics,North,4,39.73,0.05,Card,1,2.6,150.97
+10139,5/19/2022,1647,Electronics,East,4,358.25,0.23,Card,6,3.2,1103.41
+10140,5/20/2022,1471,Electronics,East,5,175.63,0.31,Wallet,8,3.4,605.92
+10141,5/21/2022,1062,Electronics,South,2,34,0.15,COD,3,2.1,57.8
+10142,5/22/2022,1138,Home,South,7,495.2,0.14,Card,4,2.4,2981.1
+10143,5/23/2022,1498,Clothing,North,7,176.3,0.16,Card,5,1.1,1036.64
+10144,5/24/2022,1592,Electronics,North,5,480.98,0.03,COD,7,4.4,2332.75
+10145,5/25/2022,1391,Clothing,West,6,183.61,0.31,COD,11,4,760.15
+10146,5/26/2022,1674,Electronics,North,4,128.68,0.3,Card,6,1.7,360.3
+10147,5/27/2022,1418,Electronics,South,4,584.75,0.35,COD,2,2.4,1520.35
+10148,5/28/2022,1288,Clothing,East,5,226.56,0.2,Card,7,2.7,906.24
+10149,5/29/2022,1378,Beauty,West,4,366.81,0.26,Card,8,2.3,1085.76
+10150,5/30/2022,1772,Home,North,6,371.84,0.07,COD,1,4.2,2074.87
+10151,5/31/2022,1489,Electronics,North,3,342.88,0.23,Card,6,3.9,792.05
+10152,6/1/2022,1230,Beauty,South,1,550.1,0.23,Wallet,11,4.1,423.58
+10153,6/2/2022,1040,Home,West,1,409.55,0.32,Card,9,4.6,278.49
+10154,6/3/2022,1027,Home,North,1,251.18,0.29,COD,7,3.4,178.34
+10155,6/4/2022,1134,Clothing,East,3,519.49,0.33,Card,5,3.5,1044.17
+10156,6/5/2022,1200,Clothing,South,4,120.92,0.3,Card,10,3.9,338.58
+10157,6/6/2022,1839,Electronics,West,5,333.38,0.3,COD,11,3.7,1166.83
+10158,6/7/2022,1779,Electronics,North,7,571.07,0.02,COD,10,4.5,3917.54
+10159,6/8/2022,1929,Electronics,North,2,380.86,0.3,COD,9,4.1,533.2
+10160,6/9/2022,1032,Electronics,West,4,492.93,0.21,COD,2,1.5,1557.66
+10161,6/10/2022,1047,Clothing,South,3,397.33,0.13,COD,7,4.7,1037.03
+10162,6/11/2022,1502,Home,West,6,506.03,0.02,COD,9,3.7,2975.46
+10163,6/12/2022,1406,Clothing,West,3,567.53,0.24,COD,2,1.5,1293.97
+10164,6/13/2022,1573,Electronics,South,7,174.66,0.11,COD,11,4.1,1088.13
+10165,6/14/2022,1727,Beauty,North,1,114.25,0.16,COD,10,2.4,95.97
+10166,6/15/2022,1804,Beauty,East,4,298.13,0.24,Wallet,6,4.2,906.32
+10167,6/16/2022,1098,Home,South,7,425.59,0.32,Card,9,4.8,2025.81
+10168,6/17/2022,1683,Beauty,East,1,147.91,0.29,COD,3,2,105.02
+10169,6/18/2022,1871,Clothing,North,2,17.4,0.16,Card,8,4.4,29.23
+10170,6/19/2022,1725,Beauty,West,6,215.62,0.14,Card,5,4.1,1112.6
+10171,6/20/2022,1986,Electronics,East,1,581.78,0.08,Card,7,3.7,535.24
+10172,6/21/2022,1546,Clothing,North,2,421.56,0.13,Wallet,3,2.5,733.51
+10173,6/22/2022,1960,Electronics,North,3,249.78,0.04,COD,8,1.4,719.37
+10174,6/23/2022,1738,Electronics,West,1,127.66,0.34,COD,2,2.9,84.26
+10175,6/24/2022,1612,Electronics,West,1,223.31,0.2,Card,8,1.4,178.65
+10176,6/25/2022,1942,Clothing,North,5,114.36,0.04,COD,2,3,548.93
+10177,6/26/2022,1461,Home,North,6,77.19,0.12,Wallet,7,4.3,407.56
+10178,6/27/2022,1642,Clothing,East,6,545.44,0.19,Card,2,5,2650.84
+10179,6/28/2022,1768,Electronics,North,7,598.63,0.19,Card,7,1.8,3394.23
+10180,6/29/2022,1004,Home,North,3,111.01,0.01,Card,1,1.8,329.7
+10181,6/30/2022,1217,Clothing,East,5,46.9,0.33,COD,6,4.2,157.11
+10182,7/1/2022,1502,Clothing,South,7,207.89,0.1,COD,10,2.9,1309.71
+10183,7/2/2022,1766,Home,East,2,285.07,0.01,COD,7,4.7,564.44
+10184,7/3/2022,1397,Electronics,East,7,134.82,0.03,COD,4,4.1,915.43
+10185,7/4/2022,1870,Electronics,West,2,191.33,0.2,Card,11,3.9,306.13
+10186,7/5/2022,1794,Beauty,East,3,132.51,0.05,COD,11,1.4,377.65
+10187,7/6/2022,1392,Electronics,North,6,467.94,0.01,Card,1,1.1,2779.56
+10188,7/7/2022,1206,Clothing,North,2,431.86,0.13,Card,6,2.3,751.44
+10189,7/8/2022,1014,Beauty,North,3,386.45,0.22,COD,4,1.9,904.29
+10190,7/9/2022,1857,Home,South,7,241.52,0.04,Wallet,3,3.8,1623.01
+10191,7/10/2022,1553,Electronics,North,2,546.79,0.11,COD,4,2.8,973.29
+10192,7/11/2022,1891,Electronics,South,4,582.18,0.15,COD,6,3.1,1979.41
+10193,7/12/2022,1460,Electronics,North,1,116.58,0.06,Card,5,4.3,109.59
+10194,7/13/2022,1690,Clothing,East,7,145.46,0.18,Card,2,2.9,834.94
+10195,7/14/2022,1574,Clothing,West,6,322.49,0.03,Card,2,3.2,1876.89
+10196,7/15/2022,1863,Electronics,North,7,68.38,0.02,Wallet,3,4.4,469.09
+10197,7/16/2022,1742,Beauty,South,4,270.32,0.18,Wallet,11,2.7,886.65
+10198,7/17/2022,1240,Clothing,South,3,355.35,0.09,Wallet,6,1.3,970.11
+10199,7/18/2022,1563,Electronics,West,3,320.41,0.03,Card,1,3.1,932.39
+10200,7/19/2022,1095,Clothing,North,7,208.58,0.15,COD,11,3.3,1241.05
+10201,7/20/2022,1899,Home,East,4,332.33,0.32,COD,7,3,903.94
+10202,7/21/2022,1733,Electronics,North,7,575.9,0.25,COD,8,2,3023.48
+10203,7/22/2022,1484,Electronics,North,1,135.52,0.29,COD,7,1.9,96.22
+10204,7/23/2022,1406,Home,West,1,398.08,0.31,COD,11,2.5,274.68
+10205,7/24/2022,1230,Clothing,North,5,40.39,0.34,Card,3,1.7,133.29
+10206,7/25/2022,1748,Clothing,East,2,53.85,0.27,Card,6,3.7,78.62
+10207,7/26/2022,1654,Clothing,South,5,337.82,0.21,Card,4,3.5,1334.39
+10208,7/27/2022,1170,Electronics,West,1,76.39,0.13,Card,5,3.5,66.46
+10209,7/28/2022,1540,Electronics,East,4,28.07,0.06,Card,3,1.9,105.54
+10210,7/29/2022,1035,Clothing,South,2,115.34,0.24,Card,5,2,175.32
+10211,7/30/2022,1524,Electronics,West,4,345.44,0.35,Card,6,4.1,898.14
+10212,7/31/2022,1159,Electronics,West,5,426.45,0.16,COD,8,3.8,1791.09
+10213,8/1/2022,1838,Home,South,3,133.45,0.25,Wallet,6,4.5,300.26
+10214,8/2/2022,1698,Beauty,South,4,405.93,0.17,Wallet,9,2.6,1347.69
+10215,8/3/2022,1242,Home,East,5,121.75,0.15,Card,10,3.2,517.44
+10216,8/4/2022,1085,Beauty,North,5,373.87,0.14,Card,10,4,1607.64
+10217,8/5/2022,1795,Electronics,North,5,256,0.18,Card,10,4.9,1049.6
+10218,8/6/2022,1577,Beauty,North,3,397.47,0.13,Wallet,10,5,1037.4
+10219,8/7/2022,1681,Electronics,North,3,597.11,0.26,COD,4,5,1325.58
+10220,8/8/2022,1556,Beauty,North,7,563.62,0.31,Card,2,4.6,2722.28
+10221,8/9/2022,1573,Beauty,East,3,17.5,0.31,Wallet,9,3.6,36.22
+10222,8/10/2022,1952,Home,West,2,532.98,0.08,Card,11,1,980.68
+10223,8/11/2022,1645,Beauty,East,3,53.9,0.31,Wallet,3,3.8,111.57
+10224,8/12/2022,1795,Clothing,East,3,572.53,0.12,Card,11,2,1511.48
+10225,8/13/2022,1027,Electronics,East,3,179.87,0.11,Card,7,1.2,480.25
+10226,8/14/2022,1619,Clothing,West,4,238.49,0.25,COD,4,3.8,715.47
+10227,8/15/2022,1555,Clothing,East,3,68.61,0.11,Wallet,1,4,183.19
+10228,8/16/2022,1339,Electronics,East,2,80.68,0.02,Wallet,8,3.6,158.13
+10229,8/17/2022,1797,Clothing,West,5,440.14,0.13,COD,4,2.5,1914.61
+10230,8/18/2022,1957,Beauty,East,4,567.43,0.25,Card,11,3,1702.29
+10231,8/19/2022,1330,Electronics,North,1,372.29,0.11,Card,6,4.7,331.34
+10232,8/20/2022,1639,Home,South,3,433.77,0.22,Wallet,7,3.9,1015.02
+10233,8/21/2022,1505,Beauty,East,7,460.75,0.23,COD,8,3,2483.44
+10234,8/22/2022,1347,Beauty,South,7,168.75,0.26,COD,10,3.4,874.12
+10235,8/23/2022,1472,Beauty,East,5,41.46,0.31,Card,2,4.7,143.04
+10236,8/24/2022,1230,Clothing,East,5,16.1,0.15,COD,9,2.6,68.42
+10237,8/25/2022,1189,Beauty,North,4,220.13,0.06,Card,10,1.4,827.69
+10238,8/26/2022,1224,Home,West,7,156.26,0.11,COD,3,2.3,973.5
+10239,8/27/2022,1384,Electronics,South,1,51.46,0.15,Wallet,1,2.7,43.74
+10240,8/28/2022,1376,Clothing,West,6,120.02,0.25,COD,2,2.1,540.09
+10241,8/29/2022,1282,Home,North,7,87.83,0,COD,8,3.1,614.81
+10242,8/30/2022,1957,Electronics,North,7,550.2,0.11,Card,10,2.2,3427.75
+10243,8/31/2022,1632,Clothing,South,2,97.06,0.27,Card,6,1.4,141.71
+10244,9/1/2022,1627,Home,West,6,329.52,0.23,Wallet,11,1.8,1522.38
+10245,9/2/2022,1972,Electronics,North,5,361.97,0.26,Card,1,4.7,1339.29
+10246,9/3/2022,1744,Clothing,East,6,332.94,0.28,Wallet,11,3.5,1438.3
+10247,9/4/2022,1258,Home,East,7,72.95,0.27,COD,9,2.3,372.77
+10248,9/5/2022,1358,Clothing,East,5,201.5,0.24,COD,7,2.5,765.7
+10249,9/6/2022,1709,Electronics,West,6,44.99,0.15,Wallet,10,3,229.45
+10250,9/7/2022,1455,Electronics,East,5,246.47,0.34,COD,11,3.7,813.35
+10251,9/8/2022,1410,Clothing,East,5,125.33,0.2,Wallet,3,3.3,501.32
+10252,9/9/2022,1648,Beauty,North,4,343.56,0.07,Card,7,4.7,1278.04
+10253,9/10/2022,1317,Electronics,North,1,420.29,0.1,COD,6,3.5,378.26
+10254,9/11/2022,1676,Clothing,East,5,326.29,0.24,COD,3,4.6,1239.9
+10255,9/12/2022,1224,Electronics,East,2,269.03,0.32,Card,8,1,365.88
+10256,9/13/2022,1818,Electronics,North,7,241.59,0.06,COD,1,4.6,1589.66
+10257,9/14/2022,1233,Home,South,7,507.39,0.03,COD,5,3.9,3445.18
+10258,9/15/2022,1683,Home,West,2,143.33,0.31,Wallet,8,1.7,197.8
+10259,9/16/2022,1663,Electronics,West,3,444.52,0.32,Card,3,2.1,906.82
+10260,9/17/2022,1974,Clothing,North,5,458.13,0.1,COD,11,3.2,2061.58
+10261,9/18/2022,1826,Electronics,West,5,260.23,0.13,Card,10,1.5,1132
+10262,9/19/2022,1373,Clothing,North,5,188.92,0.23,COD,11,4.1,727.34
+10263,9/20/2022,1671,Home,North,6,290.27,0.12,COD,6,4.2,1532.63
+10264,9/21/2022,1607,Electronics,North,5,69.53,0.31,COD,10,2.2,239.88
+10265,9/22/2022,1471,Electronics,North,5,41.87,0.04,Card,11,1.3,200.98
+10266,9/23/2022,1232,Clothing,South,2,80.29,0.01,Card,2,5,158.97
+10267,9/24/2022,1691,Beauty,East,1,124.48,0.07,Card,9,2,115.77
+10268,9/25/2022,1112,Beauty,East,1,309.94,0.1,Card,2,1.3,278.95
+10269,9/26/2022,1829,Electronics,South,3,511.74,0.04,COD,5,2.3,1473.81
+10270,9/27/2022,1496,Home,West,2,152.85,0.02,Wallet,3,4.9,299.59
+10271,9/28/2022,1441,Clothing,West,5,562.07,0.26,Card,10,4.2,2079.66
+10272,9/29/2022,1563,Clothing,East,1,573.62,0.06,Card,9,2.9,539.2
+10273,9/30/2022,1267,Home,West,4,575.96,0.32,COD,9,2.2,1566.61
+10274,10/1/2022,1509,Beauty,East,4,504.97,0.13,COD,7,2.7,1757.3
+10275,10/2/2022,1806,Beauty,East,4,227.84,0.23,Card,10,1.1,701.75
+10276,10/3/2022,1385,Clothing,South,5,57.52,0.08,Card,5,3.9,264.59
+10277,10/4/2022,1386,Clothing,West,5,347.76,0.08,Card,9,1.4,1599.7
+10278,10/5/2022,1112,Home,South,3,341.83,0.2,Card,7,3.1,820.39
+10279,10/6/2022,1612,Electronics,East,7,512.24,0.2,Card,2,3.3,2868.54
+10280,10/7/2022,1624,Clothing,East,3,597.65,0.27,Card,10,1,1308.85
+10281,10/8/2022,1951,Clothing,East,3,312.27,0.27,COD,1,4.9,683.87
+10282,10/9/2022,1080,Home,North,6,216.94,0.23,COD,10,2.2,1002.26
+10283,10/10/2022,1698,Electronics,North,4,123.75,0.16,Card,10,1.3,415.8
+10284,10/11/2022,1112,Electronics,North,5,17.81,0.31,COD,4,4.4,61.44
+10285,10/12/2022,1001,Beauty,South,4,312.83,0.22,COD,10,1.6,976.03
+10286,10/13/2022,1641,Electronics,East,3,339.98,0.35,Wallet,8,1.1,662.96
+10287,10/14/2022,1219,Clothing,West,5,497.59,0.29,Card,6,3,1766.44
+10288,10/15/2022,1565,Electronics,South,2,310.18,0.02,COD,2,1.5,607.95
+10289,10/16/2022,1854,Electronics,South,1,551.13,0.11,COD,5,4.9,490.51
+10290,10/17/2022,1996,Electronics,South,1,382.43,0.2,Card,9,1,305.94
+10291,10/18/2022,1735,Electronics,West,3,506.6,0.25,Wallet,6,1.2,1139.85
+10292,10/19/2022,1224,Beauty,East,7,101.76,0.19,COD,6,4.3,576.98
+10293,10/20/2022,1384,Electronics,North,4,515.37,0.28,COD,7,2,1484.27
+10294,10/21/2022,1402,Beauty,East,2,409.96,0.1,Card,11,4.6,737.93
+10295,10/22/2022,1637,Clothing,East,5,114.59,0.06,Card,5,2.2,538.57
+10296,10/23/2022,1129,Clothing,South,7,126.01,0.02,COD,3,1.3,864.43
+10297,10/24/2022,1052,Clothing,South,4,557,0.2,Card,3,1,1782.4
+10298,10/25/2022,1683,Clothing,South,3,33.85,0.24,COD,5,2.1,77.18
+10299,10/26/2022,1729,Home,North,4,285.58,0.11,Card,4,2.9,1016.66
+10300,10/27/2022,1671,Electronics,North,3,198.38,0.21,COD,5,1,470.16
+10301,10/28/2022,1709,Clothing,North,6,404.07,0.02,COD,9,3.3,2375.93
+10302,10/29/2022,1415,Beauty,East,1,506.18,0.03,Card,5,2.3,490.99
+10303,10/30/2022,1246,Beauty,South,7,225.82,0.25,COD,4,2.6,1185.56
+10304,10/31/2022,1835,Beauty,West,1,264.74,0.13,Card,4,2,230.32
+10305,11/1/2022,1438,Clothing,East,4,589.42,0.23,Card,1,3.1,1815.41
+10306,11/2/2022,1202,Home,North,2,473.59,0.29,Card,10,1.9,672.5
+10307,11/3/2022,1183,Clothing,West,5,539.86,0.3,Card,4,1.5,1889.51
+10308,11/4/2022,1122,Clothing,West,3,271.68,0.06,Card,4,4.6,766.14
+10309,11/5/2022,1400,Electronics,South,5,151.93,0.17,Wallet,9,2.6,630.51
+10310,11/6/2022,1766,Clothing,West,1,255.94,0.26,Card,11,1.3,189.4
+10311,11/7/2022,1293,Electronics,North,2,433.91,0.27,Card,4,1.9,633.51
+10312,11/8/2022,1279,Electronics,South,2,79.02,0.27,Card,7,2.2,115.37
+10313,11/9/2022,1836,Beauty,West,5,173.22,0.08,Card,1,4.1,796.81
+10314,11/10/2022,1883,Electronics,South,1,42.28,0.07,COD,7,1.1,39.32
+10315,11/11/2022,1609,Electronics,West,5,267.92,0.21,Card,2,2.9,1058.28
+10316,11/12/2022,1197,Electronics,East,4,499.06,0.26,COD,11,2.6,1477.22
+10317,11/13/2022,1981,Beauty,East,2,29.43,0.11,Card,8,4.9,52.39
+10318,11/14/2022,1906,Clothing,North,2,410.06,0.04,Wallet,1,1.7,787.32
+10319,11/15/2022,1510,Clothing,East,4,560.51,0.25,Card,10,3.5,1681.53
+10320,11/16/2022,1751,Home,East,1,153.6,0.1,COD,3,1.8,138.24
+10321,11/17/2022,1143,Home,East,2,420.78,0.06,COD,8,3.2,791.07
+10322,11/18/2022,1608,Electronics,West,7,585.43,0.05,Card,10,3.2,3893.11
+10323,11/19/2022,1200,Home,West,6,577.93,0.11,COD,8,1.3,3086.15
+10324,11/20/2022,1123,Home,South,6,152.43,0.21,COD,11,2.8,722.52
+10325,11/21/2022,1186,Home,West,6,73.69,0.13,Card,5,2.8,384.66
+10326,11/22/2022,1325,Electronics,East,3,101.75,0.01,COD,5,2.3,302.2
+10327,11/23/2022,1463,Beauty,West,7,425.69,0.03,Wallet,8,2.1,2890.44
+10328,11/24/2022,1348,Clothing,North,3,439.57,0.1,COD,10,1.9,1186.84
+10329,11/25/2022,1770,Electronics,South,1,409.43,0.23,Wallet,5,1,315.26
+10330,11/26/2022,1659,Clothing,South,4,211.61,0.03,Card,9,1,821.05
+10331,11/27/2022,1763,Electronics,West,5,114.32,0.2,COD,1,3.4,457.28
+10332,11/28/2022,1954,Electronics,East,7,354.75,0.04,Wallet,5,2.2,2383.92
+10333,11/29/2022,1931,Home,South,1,297.95,0.07,Card,3,1.7,277.09
+10334,11/30/2022,1402,Electronics,North,5,441.37,0.06,Wallet,3,3.7,2074.44
+10335,12/1/2022,1345,Clothing,North,1,273.2,0.02,Card,2,3.1,267.74
+10336,12/2/2022,1962,Clothing,South,3,213.1,0.23,Wallet,3,4.7,492.26
+10337,12/3/2022,1510,Electronics,East,6,186.68,0.16,Card,7,4.3,940.87
+10338,12/4/2022,1146,Beauty,East,4,138.71,0.29,Card,8,3.9,393.94
+10339,12/5/2022,1147,Electronics,West,3,170.46,0.03,Wallet,8,1.5,496.04
+10340,12/6/2022,1863,Electronics,West,4,70.48,0.05,Card,11,3.7,267.82
+10341,12/7/2022,1710,Electronics,South,7,217.91,0.11,Card,8,3.8,1357.58
+10342,12/8/2022,1819,Electronics,West,5,36.39,0.27,Card,1,4.1,132.82
+10343,12/9/2022,1488,Electronics,West,1,124.05,0.11,COD,11,2.1,110.4
+10344,12/10/2022,1928,Home,West,2,451.86,0.14,Wallet,7,3.6,777.2
+10345,12/11/2022,1935,Beauty,North,2,205.4,0.11,Card,2,3.5,365.61
+10346,12/12/2022,1639,Electronics,West,4,405.92,0.03,COD,11,2.5,1574.97
+10347,12/13/2022,1550,Home,South,6,434.38,0.33,Card,10,3.7,1746.21
+10348,12/14/2022,1337,Home,East,6,354.99,0.19,COD,4,1.3,1725.25
+10349,12/15/2022,1871,Home,West,4,575.84,0.28,Card,5,3.6,1658.42
+10350,12/16/2022,1640,Clothing,East,3,27.54,0.23,Card,1,3.4,63.62
+10351,12/17/2022,1778,Electronics,West,2,447.11,0.18,Card,4,1.8,733.26
+10352,12/18/2022,1987,Electronics,South,3,575.89,0.03,COD,4,4.3,1675.84
+10353,12/19/2022,1952,Home,North,5,519.43,0.22,Wallet,9,4.5,2025.78
+10354,12/20/2022,1472,Home,South,2,113.22,0.05,COD,9,1.8,215.12
+10355,12/21/2022,1945,Electronics,North,5,206.19,0.15,Card,11,1.3,876.31
+10356,12/22/2022,1150,Clothing,West,1,115.88,0.22,COD,10,3.4,90.39
+10357,12/23/2022,1414,Beauty,West,3,366.77,0.27,COD,1,2.9,803.23
+10358,12/24/2022,1989,Home,North,4,431.63,0.24,Card,8,2.7,1312.16
+10359,12/25/2022,1297,Beauty,South,2,200.49,0.24,Card,4,4,304.74
+10360,12/26/2022,1610,Home,South,3,330.61,0.05,Card,4,4.9,942.24
+10361,12/27/2022,1262,Clothing,North,4,419.19,0.12,COD,5,2.9,1475.55
+10362,12/28/2022,1763,Clothing,West,1,261.48,0.02,COD,2,1,256.25
+10363,12/29/2022,1143,Home,North,2,514.6,0.25,COD,1,3.4,771.9
+10364,12/30/2022,1345,Electronics,West,5,466.36,0.33,Card,5,3.6,1562.31
+10365,12/31/2022,1623,Clothing,North,1,52.83,0.09,Card,7,4.3,48.08
+10366,1/1/2023,1571,Home,West,6,378.36,0.03,Wallet,10,1.8,2202.06
+10367,1/2/2023,1880,Electronics,North,4,152.67,0.17,Card,9,3.1,506.86
+10368,1/3/2023,1001,Home,East,2,341.15,0.3,Wallet,2,2.8,477.61
+10369,1/4/2023,1896,Clothing,West,2,574.78,0.19,COD,8,3.7,931.14
+10370,1/5/2023,1303,Beauty,South,7,529.25,0.02,Card,7,1.3,3630.66
+10371,1/6/2023,1253,Electronics,North,7,251.64,0.34,COD,2,4.5,1162.58
+10372,1/7/2023,1651,Electronics,South,1,185.54,0.29,Wallet,5,3,131.73
+10373,1/8/2023,1452,Clothing,North,2,152.13,0.05,Card,7,4.5,289.05
+10374,1/9/2023,1036,Electronics,South,4,326.52,0.32,Wallet,3,2.4,888.13
+10375,1/10/2023,1159,Home,South,1,81.84,0.16,Card,2,3.6,68.75
+10376,1/11/2023,1008,Home,North,5,336.33,0.13,COD,6,4.8,1463.04
+10377,1/12/2023,1232,Electronics,North,1,15.78,0.16,Wallet,10,4.8,13.26
+10378,1/13/2023,1098,Clothing,South,1,204.45,0.29,Wallet,6,4.8,145.16
+10379,1/14/2023,1658,Clothing,South,5,143.66,0.23,COD,11,1.2,553.09
+10380,1/15/2023,1815,Clothing,South,6,583.16,0.02,COD,4,2.6,3428.98
+10381,1/16/2023,1207,Beauty,West,7,440.44,0.34,Card,1,1.2,2034.83
+10382,1/17/2023,1130,Home,West,4,219.55,0.05,Card,5,2.2,834.29
+10383,1/18/2023,1403,Home,East,6,69.31,0.26,Card,1,1.7,307.74
+10384,1/19/2023,1151,Home,West,6,317.33,0.22,Card,11,3.5,1485.1
+10385,1/20/2023,1053,Clothing,West,6,139.87,0.07,Card,11,4.1,780.47
+10386,1/21/2023,1119,Beauty,North,7,328.81,0.06,Card,8,3.1,2163.57
+10387,1/22/2023,1672,Home,East,3,503.69,0.3,Wallet,2,4.2,1057.75
+10388,1/23/2023,1919,Home,East,7,375.24,0.15,COD,9,1.1,2232.68
+10389,1/24/2023,1627,Beauty,West,6,385.77,0.23,Card,9,4.3,1782.26
+10390,1/25/2023,1586,Electronics,North,3,331.5,0.18,Wallet,3,1.7,815.49
+10391,1/26/2023,1624,Home,North,5,557.45,0.25,Card,6,2.8,2090.44
+10392,1/27/2023,1967,Electronics,East,7,560.16,0.17,COD,9,2.8,3254.53
+10393,1/28/2023,1419,Electronics,North,4,314.94,0.1,COD,7,4.5,1133.78
+10394,1/29/2023,1421,Electronics,South,6,193.87,0.13,Card,4,4.9,1012
+10395,1/30/2023,1103,Beauty,West,2,283.86,0.3,COD,3,2,397.4
+10396,1/31/2023,1851,Beauty,South,5,124.14,0.16,Card,2,1.3,521.39
+10397,2/1/2023,1253,Home,East,3,387.26,0.07,Card,10,3.6,1080.46
+10398,2/2/2023,1226,Home,East,7,307.55,0.33,Card,10,3,1442.41
+10399,2/3/2023,1111,Clothing,North,4,75.43,0.28,Wallet,1,3.3,217.24
+10400,2/4/2023,1509,Beauty,North,1,130.62,0.02,COD,11,1.2,128.01
+10401,2/5/2023,1472,Clothing,East,4,295.58,0.35,COD,10,4.1,768.51
+10402,2/6/2023,1098,Clothing,East,4,534.24,0.24,COD,11,1.9,1624.09
+10403,2/7/2023,1152,Electronics,South,6,346.34,0.06,Card,1,2.3,1953.36
+10404,2/8/2023,1860,Home,South,6,413.7,0.08,COD,4,1.9,2283.62
+10405,2/9/2023,1913,Home,North,7,213.33,0.24,Card,4,4.8,1134.92
+10406,2/10/2023,1895,Clothing,South,7,349.28,0.27,Card,9,1.7,1784.82
+10407,2/11/2023,1877,Electronics,North,3,276.72,0.08,COD,10,3.9,763.75
+10408,2/12/2023,1337,Home,North,7,400.59,0.09,Card,1,2,2551.76
+10409,2/13/2023,1705,Electronics,West,3,44.59,0.11,Card,11,2.7,119.06
+10410,2/14/2023,1821,Home,North,6,303.58,0.21,Wallet,4,5,1438.97
+10411,2/15/2023,1162,Beauty,South,6,188.16,0.06,COD,3,1.4,1061.22
+10412,2/16/2023,1719,Clothing,East,2,205.82,0.04,COD,9,4.5,395.17
+10413,2/17/2023,1956,Electronics,East,2,577.14,0.24,Card,5,4.8,877.25
+10414,2/18/2023,1680,Home,South,5,121.88,0.27,Card,9,3.8,444.86
+10415,2/19/2023,1995,Home,East,6,197.08,0.18,COD,10,1,969.63
+10416,2/20/2023,1160,Clothing,North,1,313.29,0.13,COD,6,4.3,272.56
+10417,2/21/2023,1579,Beauty,East,2,519.87,0.15,COD,11,4.5,883.78
+10418,2/22/2023,1800,Electronics,South,3,258.75,0.14,Wallet,9,4.9,667.58
+10419,2/23/2023,1397,Clothing,East,4,450.16,0.34,Wallet,1,4.4,1188.42
+10420,2/24/2023,1276,Home,North,7,515.98,0.27,Card,4,2.8,2636.66
+10421,2/25/2023,1815,Beauty,North,7,196.36,0.07,Wallet,4,3.8,1278.3
+10422,2/26/2023,1915,Electronics,South,5,244.76,0.13,COD,10,2.9,1064.71
+10423,2/27/2023,1503,Home,South,2,223.59,0.19,COD,10,2.4,362.22
+10424,2/28/2023,1895,Clothing,South,4,502.22,0.21,Card,6,3.5,1587.02
+10425,3/1/2023,1391,Clothing,West,4,40.94,0.16,COD,10,4.1,137.56
+10426,3/2/2023,1134,Electronics,West,2,195.43,0.28,Wallet,1,3.5,281.42
+10427,3/3/2023,1194,Beauty,North,1,412.45,0.27,COD,10,4.3,301.09
+10428,3/4/2023,1400,Electronics,West,1,345.78,0.18,COD,5,1.7,283.54
+10429,3/5/2023,1639,Electronics,West,5,270.23,0.3,Card,3,2.5,945.8
+10430,3/6/2023,1032,Electronics,East,1,330.87,0.26,Card,1,2.3,244.84
+10431,3/7/2023,1687,Beauty,West,5,130.59,0.27,Card,6,1.8,476.65
+10432,3/8/2023,1459,Home,East,3,266.97,0.33,Card,3,2.8,536.61
+10433,3/9/2023,1954,Home,South,2,308.5,0.09,COD,4,4.8,561.47
+10434,3/10/2023,1882,Electronics,East,4,542.2,0.09,Card,9,3.2,1973.61
+10435,3/11/2023,1469,Clothing,East,5,167.59,0.31,COD,2,2.1,578.19
+10436,3/12/2023,1374,Clothing,South,7,522.68,0.27,Card,1,2.4,2670.89
+10437,3/13/2023,1021,Home,South,1,391.88,0.32,Card,10,3.5,266.48
+10438,3/14/2023,1749,Beauty,North,7,26.9,0.02,Card,6,2.4,184.53
+10439,3/15/2023,1669,Electronics,North,5,438.91,0.22,Wallet,1,3.2,1711.75
+10440,3/16/2023,1037,Home,North,6,35.8,0.05,Card,1,2.1,204.06
+10441,3/17/2023,1229,Electronics,North,5,598.47,0.18,Card,7,2.4,2453.73
+10442,3/18/2023,1364,Clothing,East,1,525.49,0.05,Wallet,2,3.8,499.22
+10443,3/19/2023,1562,Electronics,East,6,188.95,0.04,Wallet,4,3.3,1088.35
+10444,3/20/2023,1437,Electronics,North,6,165.59,0,COD,4,1.4,993.54
+10445,3/21/2023,1775,Clothing,West,1,238.14,0.22,Card,2,4.9,185.75
+10446,3/22/2023,1282,Clothing,North,6,223.36,0.13,Card,6,1.2,1165.94
+10447,3/23/2023,1026,Electronics,West,2,232.82,0.04,Wallet,10,1.3,447.01
+10448,3/24/2023,1225,Home,South,4,201.19,0.11,Wallet,2,3.8,716.24
+10449,3/25/2023,1276,Clothing,East,7,378.36,0.06,COD,8,3.8,2489.61
+10450,3/26/2023,1797,Electronics,East,2,111.09,0.33,Card,4,1.1,148.86
+10451,3/27/2023,1608,Home,West,2,509.9,0.11,Card,1,3.6,907.62
+10452,3/28/2023,1283,Electronics,North,1,490.26,0.12,Card,7,1.1,431.43
+10453,3/29/2023,1878,Clothing,East,1,293.74,0.29,COD,6,4.8,208.56
+10454,3/30/2023,1959,Home,West,7,513.85,0.23,Card,6,3.8,2769.65
+10455,3/31/2023,1480,Electronics,South,4,159.58,0.25,Wallet,11,1.7,478.74
+10456,4/1/2023,1452,Electronics,South,5,25.28,0.22,Card,3,1.6,98.59
+10457,4/2/2023,1828,Clothing,East,2,377.24,0.33,COD,10,3.3,505.5
+10458,4/3/2023,1815,Beauty,North,6,282.88,0.07,Card,7,3.5,1578.47
+10459,4/4/2023,1658,Clothing,West,4,346.79,0.35,COD,6,4.3,901.65
+10460,4/5/2023,1515,Home,East,2,541.11,0.29,Card,10,4.6,768.38
+10461,4/6/2023,1546,Clothing,South,5,582.41,0.21,COD,10,2.6,2300.52
+10462,4/7/2023,1191,Electronics,North,6,386.16,0.23,COD,9,4.4,1784.06
+10463,4/8/2023,1048,Clothing,West,2,461.97,0.23,Card,3,3.2,711.43
+10464,4/9/2023,1511,Home,East,3,64.03,0.02,Wallet,3,2.9,188.25
+10465,4/10/2023,1016,Electronics,West,7,109.02,0.08,COD,4,3.8,702.09
+10466,4/11/2023,1171,Electronics,North,4,443.92,0.34,Wallet,3,1.4,1171.95
+10467,4/12/2023,1219,Electronics,North,7,267.35,0.19,Wallet,4,2.1,1515.87
+10468,4/13/2023,1157,Clothing,South,1,275.89,0.13,Wallet,6,4.3,240.02
+10469,4/14/2023,1476,Beauty,North,2,195.54,0.27,Card,1,3,285.49
+10470,4/15/2023,1045,Electronics,East,6,370.3,0.18,Card,2,4.6,1821.88
+10471,4/16/2023,1372,Clothing,West,6,123.32,0,Wallet,10,1.4,739.92
+10472,4/17/2023,1517,Electronics,North,4,381.75,0.26,COD,6,2.3,1129.98
+10473,4/18/2023,1098,Beauty,North,4,116.67,0.26,Card,6,2.4,345.34
+10474,4/19/2023,1891,Electronics,East,7,52.34,0.06,COD,1,2.7,344.4
+10475,4/20/2023,1744,Clothing,West,6,208.26,0.33,Card,6,4.9,837.21
+10476,4/21/2023,1036,Home,West,6,150.22,0.08,COD,11,2.2,829.21
+10477,4/22/2023,1279,Home,South,6,535.06,0.16,Wallet,9,3.1,2696.7
+10478,4/23/2023,1348,Clothing,South,2,47.15,0.04,COD,8,3.1,90.53
+10479,4/24/2023,1496,Electronics,West,6,118.32,0.21,Card,10,4.1,560.84
+10480,4/25/2023,1301,Clothing,East,1,336,0.13,Card,5,3.1,292.32
+10481,4/26/2023,1180,Electronics,East,6,296.42,0.12,Card,4,3.4,1565.1
+10482,4/27/2023,1606,Electronics,South,1,41.82,0.29,COD,6,4,29.69
+10483,4/28/2023,1098,Clothing,North,2,19.24,0,Card,11,1.4,38.48
+10484,4/29/2023,1699,Electronics,East,4,593.02,0.28,COD,5,4.9,1707.9
+10485,4/30/2023,1992,Electronics,North,1,400.42,0.2,COD,6,4.4,320.34
+10486,5/1/2023,1115,Home,East,2,228.76,0.35,COD,10,2.6,297.39
+10487,5/2/2023,1190,Beauty,West,6,290.2,0.21,Wallet,11,3.9,1375.55
+10488,5/3/2023,1252,Clothing,South,2,170.93,0.02,COD,3,4,335.02
+10489,5/4/2023,1980,Electronics,North,6,216.75,0.02,Card,7,4.4,1274.49
+10490,5/5/2023,1927,Electronics,North,7,394.69,0.31,COD,8,1.8,1906.35
+10491,5/6/2023,1982,Beauty,West,2,531.44,0.29,COD,5,3.8,754.64
+10492,5/7/2023,1160,Electronics,East,4,122.72,0.12,Card,5,1.1,431.97
+10493,5/8/2023,1255,Electronics,North,1,506.61,0.22,COD,4,1.5,395.16
+10494,5/9/2023,1322,Clothing,East,7,86.11,0.17,Card,10,4.1,500.3
+10495,5/10/2023,1127,Clothing,West,4,140.77,0.34,Card,5,4.3,371.63
+10496,5/11/2023,1017,Clothing,South,3,36.75,0.33,Wallet,10,3.4,73.87
+10497,5/12/2023,1792,Electronics,North,6,97.37,0.34,Wallet,11,3.3,385.59
+10498,5/13/2023,1734,Electronics,East,1,551.62,0.3,COD,8,4,386.13
+10499,5/14/2023,1565,Beauty,North,4,283.77,0.32,COD,5,4.6,771.85
+10500,5/15/2023,1569,Electronics,East,1,60.43,0.08,Wallet,9,2.7,55.6
+10501,5/16/2023,1322,Home,East,3,576.44,0.29,Wallet,1,1.5,1227.82
+10502,5/17/2023,1871,Home,East,5,529.21,0.25,COD,7,4.4,1984.54
+10503,5/18/2023,1685,Clothing,West,6,456.49,0.34,COD,5,2.4,1807.7
+10504,5/19/2023,1791,Electronics,South,6,561.08,0.2,Card,4,1.5,2693.18
+10505,5/20/2023,1625,Electronics,North,2,143.78,0.03,Card,3,3.5,278.93
+10506,5/21/2023,1287,Clothing,South,6,504.28,0.21,Card,10,3.3,2390.29
+10507,5/22/2023,1942,Beauty,East,6,418.64,0.24,COD,7,2.9,1909
+10508,5/23/2023,1853,Beauty,East,4,523.81,0.08,Wallet,2,4.4,1927.62
+10509,5/24/2023,1662,Electronics,South,7,481.19,0.14,Wallet,5,2.1,2896.76
+10510,5/25/2023,1961,Electronics,South,6,217.7,0.21,Card,2,1.1,1031.9
+10511,5/26/2023,1638,Beauty,North,6,468.02,0.13,COD,7,2.3,2443.06
+10512,5/27/2023,1154,Home,East,3,168.54,0.13,Card,6,1,439.89
+10513,5/28/2023,1489,Beauty,South,7,207.23,0.05,Card,10,3.2,1378.08
+10514,5/29/2023,1385,Electronics,West,3,78.12,0.33,Wallet,7,2.5,157.02
+10515,5/30/2023,1985,Clothing,East,1,562.02,0.26,COD,9,4.3,415.89
+10516,5/31/2023,1784,Home,East,1,185.24,0,COD,2,4.2,185.24
+10517,6/1/2023,1103,Home,North,6,319.56,0.27,Card,9,2.7,1399.67
+10518,6/2/2023,1928,Clothing,West,6,243.93,0.26,Card,7,1.9,1083.05
+10519,6/3/2023,1392,Electronics,North,2,576.56,0,COD,2,2.7,1153.12
+10520,6/4/2023,1810,Clothing,West,1,211,0.13,Card,10,3.6,183.57
+10521,6/5/2023,1245,Electronics,North,4,470.45,0.21,Card,2,1.8,1486.62
+10522,6/6/2023,1175,Clothing,West,6,515.42,0.16,Card,4,4.1,2597.72
+10523,6/7/2023,1038,Beauty,West,4,269.83,0.27,COD,2,2.3,787.9
+10524,6/8/2023,1476,Clothing,West,6,236.23,0.15,Wallet,1,4.7,1204.77
+10525,6/9/2023,1681,Home,South,4,452.43,0.05,Wallet,6,3,1719.23
+10526,6/10/2023,1758,Electronics,East,5,549.04,0.34,Wallet,10,4.4,1811.83
+10527,6/11/2023,1537,Home,West,4,456.64,0.08,Wallet,11,3.5,1680.44
+10528,6/12/2023,1866,Beauty,South,7,147.87,0.25,Wallet,5,3.2,776.32
+10529,6/13/2023,1817,Electronics,South,1,534.66,0.05,COD,3,3.7,507.93
+10530,6/14/2023,1920,Electronics,North,6,241.74,0.12,COD,11,4.2,1276.39
+10531,6/15/2023,1407,Clothing,East,1,352.09,0.15,Card,1,3.6,299.28
+10532,6/16/2023,1524,Electronics,East,7,501.39,0.07,Wallet,9,4.2,3264.05
+10533,6/17/2023,1827,Home,North,7,125.21,0.16,Card,8,1.8,736.23
+10534,6/18/2023,1505,Beauty,East,4,473.94,0.06,Card,6,2.1,1782.01
+10535,6/19/2023,1902,Clothing,North,3,363.76,0.2,Wallet,6,1.9,873.02
+10536,6/20/2023,1824,Electronics,South,3,537.6,0.23,Card,4,4.2,1241.86
+10537,6/21/2023,1035,Clothing,South,7,115.6,0.02,Wallet,2,1.3,793.02
+10538,6/22/2023,1684,Home,West,3,261.1,0.3,COD,4,4.2,548.31
+10539,6/23/2023,1019,Electronics,North,6,502.21,0.06,Card,2,2.6,2832.46
+10540,6/24/2023,1320,Clothing,South,2,26.25,0.08,COD,7,1.3,48.3
+10541,6/25/2023,1775,Clothing,South,5,80.64,0.23,Wallet,9,2.7,310.46
+10542,6/26/2023,1511,Clothing,North,4,594.48,0.16,Card,2,2.2,1997.45
+10543,6/27/2023,1399,Electronics,South,2,179.03,0.17,COD,9,3.4,297.19
+10544,6/28/2023,1653,Home,East,3,585.69,0.04,Wallet,9,2.9,1686.79
+10545,6/29/2023,1971,Electronics,South,4,121.78,0.28,Card,8,2.2,350.73
+10546,6/30/2023,1882,Electronics,North,2,226.24,0.22,Card,1,4.4,352.93
+10547,7/1/2023,1470,Beauty,East,1,455.43,0.05,Card,5,2.6,432.66
+10548,7/2/2023,1142,Home,East,3,399.8,0.13,Card,10,2.9,1043.48
+10549,7/3/2023,1091,Electronics,South,2,354.96,0.28,Card,11,4.4,511.14
+10550,7/4/2023,1353,Electronics,West,6,324.99,0.2,COD,4,1.4,1559.95
+10551,7/5/2023,1833,Electronics,East,1,508.41,0.04,Card,7,2.6,488.07
+10552,7/6/2023,1799,Electronics,North,3,152.44,0.13,Wallet,11,2.6,397.87
+10553,7/7/2023,1726,Electronics,West,5,273.85,0.08,Card,8,3,1259.71
+10554,7/8/2023,1958,Electronics,West,7,105.94,0.18,COD,10,1.4,608.1
+10555,7/9/2023,1853,Clothing,East,3,363.63,0.3,COD,11,1.4,763.62
+10556,7/10/2023,1050,Home,South,6,161.57,0.15,Wallet,8,2.7,824.01
+10557,7/11/2023,1664,Clothing,West,5,210.3,0.15,COD,2,1.1,893.78
+10558,7/12/2023,1697,Home,South,5,290.68,0.32,Card,3,2,988.31
+10559,7/13/2023,1574,Electronics,East,5,30.66,0.2,Wallet,10,1.8,122.64
+10560,7/14/2023,1189,Beauty,North,4,68.78,0.2,Card,10,3,220.1
+10561,7/15/2023,1124,Home,West,4,416.27,0.09,Card,7,1,1515.22
+10562,7/16/2023,1149,Home,North,7,265.95,0.21,Card,4,3.7,1470.7
+10563,7/17/2023,1313,Home,South,5,520.9,0.2,COD,6,4.4,2083.6
+10564,7/18/2023,1569,Beauty,South,7,421.38,0.14,Card,8,3.8,2536.71
+10565,7/19/2023,1341,Clothing,North,1,19.74,0.35,COD,8,4.3,12.83
+10566,7/20/2023,1304,Electronics,East,5,375.78,0.31,COD,7,3.6,1296.44
+10567,7/21/2023,1691,Clothing,East,2,69.83,0.26,Wallet,2,3,103.35
+10568,7/22/2023,1681,Home,West,5,471.85,0.19,Card,2,1.9,1910.99
+10569,7/23/2023,1837,Home,West,4,595.03,0.16,Card,3,2.1,1999.3
+10570,7/24/2023,1782,Clothing,East,4,325.75,0.06,Card,4,2.3,1224.82
+10571,7/25/2023,1053,Electronics,East,2,414.43,0.11,Card,1,1.2,737.69
+10572,7/26/2023,1443,Clothing,North,2,153.83,0.27,COD,5,4.7,224.59
+10573,7/27/2023,1612,Beauty,South,3,270.99,0.16,COD,7,4.6,682.89
+10574,7/28/2023,1992,Clothing,South,1,515.82,0.31,COD,10,1.4,355.92
+10575,7/29/2023,1263,Clothing,West,1,112.94,0.05,Wallet,11,3.2,107.29
+10576,7/30/2023,1052,Electronics,East,1,170.34,0.18,Wallet,5,2.9,139.68
+10577,7/31/2023,1571,Clothing,North,6,275.58,0.23,Card,7,3.7,1273.18
+10578,8/1/2023,1619,Beauty,West,4,431.67,0.18,Wallet,5,3.4,1415.88
+10579,8/2/2023,1004,Home,North,1,234.89,0.31,Card,11,1.5,162.07
+10580,8/3/2023,1102,Home,East,3,557.72,0.35,COD,10,3.6,1087.55
+10581,8/4/2023,1195,Clothing,East,3,70.26,0.04,COD,8,3.4,202.35
+10582,8/5/2023,1773,Clothing,East,1,231.92,0.05,Wallet,7,3.1,220.32
+10583,8/6/2023,1876,Electronics,South,2,429.74,0.05,COD,1,2.6,816.51
+10584,8/7/2023,1991,Home,East,3,147.2,0.24,COD,11,4.8,335.62
+10585,8/8/2023,1883,Clothing,West,7,399,0.13,Wallet,1,4.4,2429.91
+10586,8/9/2023,1349,Clothing,South,2,111.07,0.26,COD,5,3.3,164.38
+10587,8/10/2023,1046,Clothing,North,7,47.75,0.14,COD,2,1,287.46
+10588,8/11/2023,1866,Beauty,West,4,85.79,0.22,Card,9,2.7,267.66
+10589,8/12/2023,1822,Electronics,West,6,559.04,0.27,Card,2,3.8,2448.6
+10590,8/13/2023,1935,Home,North,3,337.77,0.19,Wallet,9,1.5,820.78
+10591,8/14/2023,1819,Electronics,South,2,480.86,0.19,COD,10,2.6,778.99
+10592,8/15/2023,1655,Clothing,West,7,209.6,0.03,COD,2,1.8,1423.18
+10593,8/16/2023,1268,Electronics,West,1,361.71,0.14,Card,4,2.4,311.07
+10594,8/17/2023,1369,Electronics,West,7,304.55,0.19,Card,3,1.1,1726.8
+10595,8/18/2023,1635,Clothing,South,7,568.26,0.16,Card,6,1.5,3341.37
+10596,8/19/2023,1105,Electronics,South,4,452.33,0.32,COD,4,2.8,1230.34
+10597,8/20/2023,1669,Clothing,South,5,442.37,0.32,Card,9,4.6,1504.06
+10598,8/21/2023,1658,Beauty,West,5,42.12,0.29,Card,9,3,149.53
+10599,8/22/2023,1656,Electronics,East,1,336.56,0.13,COD,10,2.8,292.81
+10600,8/23/2023,1119,Home,North,4,288.19,0.25,COD,9,4.2,864.57
+10601,8/24/2023,1830,Clothing,East,4,557.79,0.14,Card,3,2.1,1918.8
+10602,8/25/2023,1786,Home,South,4,165.55,0.08,COD,3,1.4,609.22
+10603,8/26/2023,1603,Electronics,West,4,172.85,0.12,Wallet,4,1.8,608.43
+10604,8/27/2023,1057,Electronics,West,5,255.64,0.02,COD,9,4.2,1252.64
+10605,8/28/2023,1950,Electronics,East,2,157.37,0.12,Wallet,6,3.7,276.97
+10606,8/29/2023,1345,Electronics,East,4,90.57,0.16,Wallet,9,1.4,304.32
+10607,8/30/2023,1740,Electronics,North,2,516.59,0.33,Card,8,3.7,692.23
+10608,8/31/2023,1473,Home,West,7,341.59,0.11,Card,7,4.7,2128.11
+10609,9/1/2023,1116,Beauty,East,7,518.9,0.32,COD,5,1.2,2469.96
+10610,9/2/2023,1829,Home,North,4,501.21,0.08,COD,9,3.5,1844.45
+10611,9/3/2023,1790,Home,South,3,179.99,0.07,Card,4,2.5,502.17
+10612,9/4/2023,1126,Electronics,East,6,335.43,0.18,Card,4,3,1650.32
+10613,9/5/2023,1392,Electronics,South,3,63.68,0.24,COD,8,3.1,145.19
+10614,9/6/2023,1907,Electronics,North,7,550.42,0.02,Card,4,4.1,3775.88
+10615,9/7/2023,1640,Electronics,South,6,251.49,0.08,Wallet,7,3.2,1388.22
+10616,9/8/2023,1057,Clothing,West,3,245.3,0.16,Card,4,3.4,618.16
+10617,9/9/2023,1633,Clothing,West,4,192.11,0.12,Wallet,11,2.3,676.23
+10618,9/10/2023,1512,Clothing,South,2,284.49,0.25,Card,1,1.5,426.74
+10619,9/11/2023,1750,Clothing,West,6,162.28,0.18,Card,10,3.7,798.42
+10620,9/12/2023,1801,Home,North,5,234.29,0.06,Card,9,1,1101.16
+10621,9/13/2023,1095,Home,West,1,482.97,0.31,Wallet,4,2.3,333.25
+10622,9/14/2023,1637,Electronics,South,6,503.04,0.1,Card,3,1.9,2716.42
+10623,9/15/2023,1117,Beauty,South,6,192.95,0.26,COD,3,2.6,856.7
+10624,9/16/2023,1559,Beauty,South,5,289.37,0.27,Wallet,9,2.2,1056.2
+10625,9/17/2023,1600,Electronics,East,4,526.18,0.34,COD,8,3.8,1389.12
+10626,9/18/2023,1487,Clothing,South,3,45.81,0.17,Card,10,2,114.07
+10627,9/19/2023,1236,Clothing,North,3,535.15,0.22,Wallet,7,3.2,1252.25
+10628,9/20/2023,1884,Beauty,West,7,143.22,0.12,Wallet,7,2.8,882.24
+10629,9/21/2023,1896,Beauty,West,2,411.95,0.24,Card,4,4.2,626.16
+10630,9/22/2023,1271,Electronics,East,4,355.79,0.16,COD,3,2.7,1195.45
+10631,9/23/2023,1188,Clothing,East,5,338.47,0.15,Wallet,4,4.5,1438.5
+10632,9/24/2023,1998,Clothing,North,4,517.73,0.3,Wallet,6,1,1449.64
+10633,9/25/2023,1703,Clothing,South,4,74.42,0.02,Card,4,3.4,291.73
+10634,9/26/2023,1446,Electronics,East,3,218.01,0.31,Wallet,4,1,451.28
+10635,9/27/2023,1580,Beauty,West,5,329.88,0.3,Card,2,3.9,1154.58
+10636,9/28/2023,1789,Home,East,1,489.6,0.18,Card,7,1.9,401.47
+10637,9/29/2023,1860,Home,East,6,141.62,0.17,Card,6,2.5,705.27
+10638,9/30/2023,1246,Beauty,South,3,484.71,0.13,Card,2,2.5,1265.09
+10639,10/1/2023,1962,Home,East,5,248.79,0.35,COD,5,4.4,808.57
+10640,10/2/2023,1075,Clothing,North,2,125.51,0.04,COD,6,1.4,240.98
+10641,10/3/2023,1153,Clothing,West,6,459.01,0.21,Card,5,3.7,2175.71
+10642,10/4/2023,1655,Electronics,South,6,68.18,0.24,Card,4,4.9,310.9
+10643,10/5/2023,1434,Home,West,3,316.14,0.33,Card,11,1.1,635.44
+10644,10/6/2023,1996,Electronics,North,7,52.37,0.27,Wallet,11,4.9,267.61
+10645,10/7/2023,1085,Home,North,2,223.5,0.23,Wallet,9,1.1,344.19
+10646,10/8/2023,1696,Electronics,East,3,366.63,0.04,Card,3,4.4,1055.89
+10647,10/9/2023,1284,Electronics,East,4,340.33,0.13,Wallet,11,4.8,1184.35
+10648,10/10/2023,1973,Electronics,East,7,251.72,0.05,Card,2,5,1673.94
+10649,10/11/2023,1219,Electronics,West,5,265.99,0.31,COD,9,2.8,917.67
+10650,10/12/2023,1068,Home,North,2,147.66,0.26,Wallet,8,4.5,218.54
+10651,10/13/2023,1046,Home,South,6,281.69,0.27,Card,9,1.5,1233.8
+10652,10/14/2023,1093,Clothing,East,3,572.65,0.23,COD,10,2.7,1322.82
+10653,10/15/2023,1749,Electronics,West,6,512.51,0.18,Card,11,2.2,2521.55
+10654,10/16/2023,1957,Electronics,East,2,99.96,0.05,Card,3,2.6,189.92
+10655,10/17/2023,1452,Electronics,North,6,32.42,0.12,COD,1,3.8,171.18
+10656,10/18/2023,1203,Electronics,South,3,561.11,0.05,Wallet,11,1.3,1599.16
+10657,10/19/2023,1911,Beauty,North,7,323.15,0.25,COD,1,5,1696.54
+10658,10/20/2023,1217,Electronics,West,3,329.64,0.06,Wallet,3,3.5,929.58
+10659,10/21/2023,1473,Clothing,East,1,471.72,0.25,Wallet,4,4.5,353.79
+10660,10/22/2023,1431,Electronics,North,6,199.09,0.24,Card,2,4.3,907.85
+10661,10/23/2023,1340,Electronics,West,1,296.92,0.16,Card,8,4.1,249.41
+10662,10/24/2023,1550,Clothing,East,7,581.67,0.05,COD,3,1.2,3868.11
+10663,10/25/2023,1611,Clothing,South,1,408.21,0.11,COD,4,3.1,363.31
+10664,10/26/2023,1288,Electronics,North,6,104.94,0.11,Card,6,2.3,560.38
+10665,10/27/2023,1253,Electronics,East,2,92.94,0.25,Wallet,10,1.5,139.41
+10666,10/28/2023,1733,Clothing,East,4,134.49,0.04,COD,6,2.4,516.44
+10667,10/29/2023,1356,Electronics,East,7,463.53,0.29,Card,2,3.6,2303.74
+10668,10/30/2023,1022,Electronics,East,3,187.8,0.27,COD,6,1.9,411.28
+10669,10/31/2023,1761,Beauty,North,5,27.51,0.07,Card,4,2.8,127.92
+10670,11/1/2023,1521,Clothing,East,7,567.34,0.25,COD,5,2.6,2978.54
+10671,11/2/2023,1757,Clothing,West,1,114.28,0.23,Wallet,7,1.2,88
+10672,11/3/2023,1836,Clothing,North,2,20.59,0.26,Wallet,7,3.5,30.47
+10673,11/4/2023,1099,Clothing,East,6,153.72,0.07,Card,6,3.5,857.76
+10674,11/5/2023,1801,Clothing,North,2,152.49,0.06,COD,10,4.9,286.68
+10675,11/6/2023,1179,Home,West,2,261.87,0.08,COD,6,2.2,481.84
+10676,11/7/2023,1222,Home,West,6,553.43,0.13,Card,6,2.7,2888.9
+10677,11/8/2023,1905,Electronics,North,5,529.32,0.28,Card,4,2.6,1905.55
+10678,11/9/2023,1761,Clothing,East,6,282.28,0.26,COD,3,4.7,1253.32
+10679,11/10/2023,1658,Clothing,East,5,255.38,0.32,COD,1,2.6,868.29
+10680,11/11/2023,1441,Beauty,West,6,339.68,0.02,Card,3,2.8,1997.32
+10681,11/12/2023,1607,Clothing,East,1,157.42,0,Card,3,2,157.42
+10682,11/13/2023,1768,Clothing,West,5,45.53,0.24,Card,9,1,173.01
+10683,11/14/2023,1324,Electronics,East,1,564.45,0.1,Card,3,1.4,508.01
+10684,11/15/2023,1515,Clothing,West,7,124.22,0.12,COD,8,3.8,765.2
+10685,11/16/2023,1015,Electronics,South,5,131.06,0.19,Card,8,3.7,530.79
+10686,11/17/2023,1791,Electronics,East,5,291.39,0.04,Card,3,2.3,1398.67
+10687,11/18/2023,1335,Electronics,East,6,302.59,0.22,Wallet,10,2.9,1416.12
+10688,11/19/2023,1758,Home,East,5,25.78,0.11,Card,10,2.2,114.72
+10689,11/20/2023,1257,Electronics,North,1,101.55,0.22,COD,6,3.9,79.21
+10690,11/21/2023,1496,Clothing,East,7,236.22,0.29,Wallet,8,4.4,1174.01
+10691,11/22/2023,1987,Beauty,North,6,414.98,0.06,COD,8,4.6,2340.49
+10692,11/23/2023,1895,Electronics,North,3,148.62,0.33,COD,10,1.7,298.73
+10693,11/24/2023,1159,Clothing,West,7,262.46,0.19,Card,10,3.8,1488.15
+10694,11/25/2023,1474,Clothing,North,7,341.05,0.32,Card,9,4.9,1623.4
+10695,11/26/2023,1851,Electronics,North,1,534.83,0.07,COD,9,3.6,497.39
+10696,11/27/2023,1663,Home,South,7,205.75,0.21,COD,8,2.4,1137.8
+10697,11/28/2023,1907,Electronics,East,3,93.13,0.14,Card,7,3.5,240.28
+10698,11/29/2023,1689,Clothing,North,2,301.22,0.27,COD,10,3.8,439.78
+10699,11/30/2023,1674,Clothing,East,6,451.83,0.21,Wallet,3,2.6,2141.67
+10700,12/1/2023,1379,Clothing,North,2,79.27,0.17,Card,7,1.4,131.59
+10701,12/2/2023,1544,Home,West,6,263.44,0.32,COD,4,3.4,1074.84
+10702,12/3/2023,1928,Electronics,South,7,25.4,0.13,COD,2,4.2,154.69
+10703,12/4/2023,1956,Electronics,North,6,34.63,0.08,Wallet,8,5,191.16
+10704,12/5/2023,1690,Home,East,1,297.53,0.21,Wallet,2,1.9,235.05
+10705,12/6/2023,1426,Clothing,West,3,189.45,0.22,COD,1,3.8,443.31
+10706,12/7/2023,1612,Home,East,6,509.39,0.15,Card,5,1.1,2597.89
+10707,12/8/2023,1267,Home,West,3,367.26,0.17,Card,10,4.9,914.48
+10708,12/9/2023,1834,Home,South,6,280.55,0.34,Card,9,1.1,1110.98
+10709,12/10/2023,1576,Clothing,West,3,253.64,0.26,COD,5,2.4,563.08
+10710,12/11/2023,1416,Electronics,East,2,305.89,0.04,COD,11,1.3,587.31
+10711,12/12/2023,1167,Home,East,1,38.66,0.07,Wallet,2,3.5,35.95
+10712,12/13/2023,1841,Clothing,North,6,537.28,0.34,COD,10,2.4,2127.63
+10713,12/14/2023,1042,Electronics,West,4,599.01,0.25,COD,4,3.9,1797.03
+10714,12/15/2023,1555,Beauty,East,3,121.17,0.32,COD,8,2.9,247.19
+10715,12/16/2023,1284,Beauty,North,3,85.42,0.11,Card,7,2.7,228.07
+10716,12/17/2023,1396,Clothing,South,4,98.99,0.26,COD,5,2.4,293.01
+10717,12/18/2023,1011,Electronics,East,1,401.7,0.25,COD,4,1.3,301.27
+10718,12/19/2023,1606,Clothing,North,3,401.94,0.1,Wallet,5,1.8,1085.24
+10719,12/20/2023,1301,Home,East,1,511.04,0.19,Card,7,3.6,413.94
+10720,12/21/2023,1897,Beauty,West,3,454.82,0.22,Wallet,5,3,1064.28
+10721,12/22/2023,1252,Electronics,North,7,278.07,0.17,COD,8,1.3,1615.59
+10722,12/23/2023,1498,Electronics,West,5,373.52,0.29,Card,7,3.2,1326
+10723,12/24/2023,1753,Beauty,South,7,417.65,0.29,Card,7,1.2,2075.72
+10724,12/25/2023,1034,Clothing,West,3,314.95,0.3,Card,9,3,661.39
+10725,12/26/2023,1726,Clothing,North,5,293.26,0.28,COD,8,4.9,1055.74
+10726,12/27/2023,1848,Beauty,East,6,392.38,0.17,Card,8,2.2,1954.05
+10727,12/28/2023,1089,Electronics,North,1,341.12,0.13,Card,6,3.9,296.77
+10728,12/29/2023,1775,Clothing,West,3,391.71,0.29,Wallet,7,4,834.34
+10729,12/30/2023,1604,Electronics,West,2,373.52,0.17,COD,8,2.6,620.04
+10730,12/31/2023,1921,Clothing,East,2,435.73,0.09,COD,5,3.4,793.03
+10731,1/1/2024,1969,Home,South,4,391.04,0.18,Card,10,2.9,1282.61
+10732,1/2/2024,1601,Clothing,North,2,319.05,0.05,COD,2,2.1,606.2
+10733,1/3/2024,1417,Beauty,East,5,413.85,0.24,Card,7,4,1572.63
+10734,1/4/2024,1114,Clothing,East,2,277.95,0.12,Wallet,10,3.8,489.19
+10735,1/5/2024,1616,Electronics,East,2,156.38,0.09,Card,3,4.6,284.61
+10736,1/6/2024,1902,Electronics,North,2,15.83,0.33,COD,10,3.5,21.21
+10737,1/7/2024,1195,Clothing,North,3,342.58,0.27,COD,11,2.6,750.25
+10738,1/8/2024,1825,Clothing,North,4,360.53,0.28,COD,8,3.9,1038.33
+10739,1/9/2024,1500,Electronics,South,1,583.65,0.22,Wallet,6,3.5,455.25
+10740,1/10/2024,1625,Clothing,East,4,226.46,0.29,Card,11,3.5,643.15
+10741,1/11/2024,1492,Clothing,West,5,245.57,0.27,Card,4,4.4,896.33
+10742,1/12/2024,1074,Home,West,3,133.05,0.21,COD,2,4.6,315.33
+10743,1/13/2024,1412,Home,East,6,56.26,0.34,COD,7,1.7,222.79
+10744,1/14/2024,1375,Home,West,3,467.09,0.07,Card,1,2.3,1303.18
+10745,1/15/2024,1419,Electronics,South,7,161.06,0.33,Card,7,3.6,755.37
+10746,1/16/2024,1728,Electronics,South,2,371.21,0.14,COD,10,3.2,638.48
+10747,1/17/2024,1276,Home,North,2,417.35,0.18,Wallet,10,3.6,684.45
+10748,1/18/2024,1760,Clothing,North,5,290.67,0.04,COD,7,2.7,1395.22
+10749,1/19/2024,1675,Electronics,North,6,527.67,0.19,Wallet,10,2.6,2564.48
+10750,1/20/2024,1393,Home,North,7,274.62,0.21,COD,3,1.5,1518.65
+10751,1/21/2024,1868,Home,North,3,181.67,0.35,Card,4,3.5,354.26
+10752,1/22/2024,1456,Clothing,West,6,539.17,0.34,Card,4,1.7,2135.11
+10753,1/23/2024,1919,Electronics,West,1,519.02,0.34,COD,4,3.7,342.55
+10754,1/24/2024,1191,Home,North,4,110.96,0.12,COD,9,4.9,390.58
+10755,1/25/2024,1738,Clothing,South,3,30.19,0.35,COD,6,2,58.87
+10756,1/26/2024,1688,Home,West,6,67.64,0.16,COD,10,1.6,340.91
+10757,1/27/2024,1098,Home,South,1,182.63,0.3,Wallet,9,1.1,127.84
+10758,1/28/2024,1547,Home,South,1,583.77,0.08,COD,4,2.5,537.07
+10759,1/29/2024,1977,Clothing,East,7,341.73,0.18,Card,7,1.9,1961.53
+10760,1/30/2024,1998,Electronics,East,7,233.36,0.34,Card,10,3,1078.12
+10761,1/31/2024,1095,Home,North,4,534.9,0.33,COD,9,3.1,1433.53
+10762,2/1/2024,1663,Clothing,South,1,280.08,0.24,Wallet,10,2.4,212.86
+10763,2/2/2024,1662,Home,West,5,199.41,0.28,Card,3,4,717.88
+10764,2/3/2024,1189,Electronics,East,1,565.61,0.06,Wallet,3,4.6,531.67
+10765,2/4/2024,1735,Electronics,East,6,511.97,0.25,Wallet,6,1.8,2303.87
+10766,2/5/2024,1036,Beauty,South,7,508.55,0.22,COD,8,4.3,2776.68
+10767,2/6/2024,1779,Home,East,5,314.69,0.03,Card,1,1.5,1526.25
+10768,2/7/2024,1368,Beauty,East,7,476.82,0.04,Card,4,1.9,3204.23
+10769,2/8/2024,1694,Home,West,7,119.92,0.04,Card,8,3.2,805.86
+10770,2/9/2024,1524,Clothing,South,7,350.34,0.25,Card,6,2.2,1839.28
+10771,2/10/2024,1278,Home,East,1,590.55,0.05,COD,2,1.2,561.02
+10772,2/11/2024,1216,Beauty,South,2,185.21,0.16,Card,8,2.2,311.15
+10773,2/12/2024,1866,Clothing,East,1,479.7,0.12,COD,1,4.6,422.14
+10774,2/13/2024,1872,Clothing,West,7,301.93,0.19,Card,1,1.7,1711.94
+10775,2/14/2024,1797,Electronics,South,5,38.29,0.25,Card,7,4.1,143.59
+10776,2/15/2024,1272,Clothing,East,1,461.37,0.24,COD,10,3.9,350.64
+10777,2/16/2024,1880,Home,West,7,113.61,0.18,Wallet,3,1.4,652.12
+10778,2/17/2024,1061,Electronics,East,7,384.41,0.16,COD,8,2.3,2260.33
+10779,2/18/2024,1595,Electronics,South,1,65.11,0.14,COD,9,1.8,55.99
+10780,2/19/2024,1879,Electronics,East,1,568.92,0.3,COD,8,1.1,398.24
+10781,2/20/2024,1728,Electronics,South,5,185.66,0.12,COD,1,1.7,816.9
+10782,2/21/2024,1341,Electronics,South,1,147.48,0.09,Wallet,1,1.8,134.21
+10783,2/22/2024,1396,Clothing,East,4,90.54,0.26,Card,6,1.7,268
+10784,2/23/2024,1698,Beauty,West,6,568.41,0.13,Wallet,1,1.4,2967.1
+10785,2/24/2024,1018,Clothing,North,4,431.46,0.3,Card,8,3.1,1208.09
+10786,2/25/2024,1176,Electronics,West,5,448.87,0.11,Wallet,6,2.3,1997.47
+10787,2/26/2024,1611,Electronics,West,2,307.15,0.25,Card,5,4.6,460.72
+10788,2/27/2024,1395,Home,East,4,292.72,0.02,Wallet,6,1.7,1147.46
+10789,2/28/2024,1444,Clothing,West,7,79.36,0.13,Wallet,4,3.4,483.3
+10790,2/29/2024,1232,Home,West,6,342.51,0.12,Card,1,4.6,1808.45
+10791,3/1/2024,1914,Home,North,3,159.45,0.29,Wallet,7,1.2,339.63
+10792,3/2/2024,1075,Home,West,6,586.63,0.34,Card,10,3.1,2323.05
+10793,3/3/2024,1264,Electronics,North,4,481,0.16,Card,9,2.8,1616.16
+10794,3/4/2024,1454,Home,East,3,256.6,0.29,Card,4,4.7,546.56
+10795,3/5/2024,1795,Electronics,North,5,103.53,0.24,Wallet,4,3.7,393.41
+10796,3/6/2024,1717,Beauty,South,6,474.42,0.34,COD,9,2.4,1878.7
+10797,3/7/2024,1734,Clothing,South,2,86.4,0.28,COD,4,3.8,124.42
+10798,3/8/2024,1383,Electronics,North,3,125.76,0.03,COD,10,3.3,365.96
+10799,3/9/2024,1563,Electronics,South,3,138.74,0.25,Wallet,4,2.4,312.17
+10800,3/10/2024,1850,Electronics,East,6,340.78,0.19,COD,8,4.1,1656.19
+10801,3/11/2024,1505,Home,South,4,475.43,0.01,Card,11,3.7,1882.7
+10802,3/12/2024,1366,Electronics,North,3,198.87,0.09,Card,4,1,542.92
+10803,3/13/2024,1143,Clothing,East,5,64.53,0.32,Card,9,4.5,219.4
+10804,3/14/2024,1884,Electronics,South,6,286.76,0.32,COD,11,2.6,1169.98
+10805,3/15/2024,1068,Home,East,5,452.64,0.28,Card,8,3.6,1629.5
+10806,3/16/2024,1098,Home,North,6,144.67,0.34,Card,5,2.6,572.89
+10807,3/17/2024,1395,Home,South,5,143.66,0.28,Wallet,9,4.5,517.18
+10808,3/18/2024,1024,Home,East,4,569.13,0,Card,8,3.6,2276.52
+10809,3/19/2024,1947,Electronics,East,6,573.18,0.1,COD,10,3.3,3095.17
+10810,3/20/2024,1890,Electronics,South,7,594.42,0.01,Card,4,4.9,4119.33
+10811,3/21/2024,1468,Home,East,2,487.48,0.03,Card,4,2.1,945.71
+10812,3/22/2024,1483,Clothing,East,4,125.09,0.08,Card,1,1.3,460.33
+10813,3/23/2024,1564,Clothing,North,5,139.01,0.18,Card,4,3.1,569.94
+10814,3/24/2024,1150,Electronics,North,6,214.03,0.3,Wallet,8,2.7,898.93
+10815,3/25/2024,1143,Electronics,North,4,201.11,0.3,Card,5,2.8,563.11
+10816,3/26/2024,1568,Electronics,North,5,574.57,0.22,Card,6,3.5,2240.82
+10817,3/27/2024,1038,Beauty,North,1,476.61,0.32,COD,4,3.5,324.09
+10818,3/28/2024,1108,Electronics,North,1,438.55,0.18,COD,5,2.6,359.61
+10819,3/29/2024,1692,Clothing,South,3,123.79,0.31,COD,10,4.5,256.25
+10820,3/30/2024,1041,Electronics,North,2,547.07,0.16,Wallet,8,3.6,919.08
+10821,3/31/2024,1185,Home,East,1,499.3,0.1,COD,9,4.6,449.37
+10822,4/1/2024,1934,Electronics,South,7,110.73,0.32,Card,3,4.7,527.07
+10823,4/2/2024,1397,Beauty,East,5,524.63,0.14,Wallet,10,1.7,2255.91
+10824,4/3/2024,1222,Beauty,North,4,174.26,0.18,COD,4,3.7,571.57
+10825,4/4/2024,1633,Electronics,North,6,62.31,0.12,Card,1,2.3,329
+10826,4/5/2024,1132,Beauty,East,4,399.24,0.23,Card,11,4.3,1229.66
+10827,4/6/2024,1162,Beauty,East,3,397.48,0.35,Card,5,3.9,775.09
+10828,4/7/2024,1214,Home,East,4,70.54,0.01,Card,4,1.8,279.34
+10829,4/8/2024,1732,Home,West,1,201.53,0.31,Card,6,4.8,139.06
+10830,4/9/2024,1234,Electronics,West,4,595.8,0,Card,6,3.7,2383.2
+10831,4/10/2024,1842,Clothing,West,1,411.88,0.13,Wallet,10,4.8,358.34
+10832,4/11/2024,1657,Electronics,West,1,442.09,0.06,Wallet,6,1.8,415.56
+10833,4/12/2024,1750,Electronics,South,2,139.56,0.27,COD,3,4.5,203.76
+10834,4/13/2024,1587,Beauty,North,3,61.09,0.02,Wallet,7,3.7,179.6
+10835,4/14/2024,1008,Electronics,East,7,176.99,0.19,Card,3,3.2,1003.53
+10836,4/15/2024,1073,Home,North,7,160.61,0.1,Wallet,6,4.3,1011.84
+10837,4/16/2024,1953,Home,East,5,152.21,0.05,COD,10,3.5,723
+10838,4/17/2024,1491,Beauty,North,7,127.76,0.27,Card,1,3.7,652.85
+10839,4/18/2024,1912,Beauty,South,1,351.23,0.08,Card,8,2,323.13
+10840,4/19/2024,1252,Electronics,West,6,206.94,0.08,Card,7,4.3,1142.31
+10841,4/20/2024,1229,Electronics,North,3,494.9,0.1,Card,9,3.6,1336.23
+10842,4/21/2024,1518,Clothing,East,5,122.61,0.21,Card,3,4.4,484.31
+10843,4/22/2024,1173,Electronics,North,7,286.81,0.23,Card,8,2.4,1545.91
+10844,4/23/2024,1652,Electronics,South,7,22.99,0.01,Card,2,2.3,159.32
+10845,4/24/2024,1167,Clothing,South,6,296.78,0.08,Card,9,1.1,1638.23
+10846,4/25/2024,1169,Home,North,4,47.67,0.15,Wallet,1,4.1,162.08
+10847,4/26/2024,1392,Clothing,West,3,586.97,0.12,Card,10,2.3,1549.6
+10848,4/27/2024,1945,Electronics,East,6,477.5,0.31,Card,7,2.3,1976.85
+10849,4/28/2024,1794,Home,South,7,301.72,0.28,COD,10,3.8,1520.67
+10850,4/29/2024,1633,Electronics,South,3,65.65,0.22,Wallet,1,2,153.62
+10851,4/30/2024,1193,Electronics,North,3,361.58,0.12,Card,6,4.6,954.57
+10852,5/1/2024,1516,Home,South,7,458.88,0.25,Wallet,1,3.2,2409.12
+10853,5/2/2024,1028,Clothing,South,4,126.57,0.3,Card,4,4.9,354.4
+10854,5/3/2024,1164,Home,East,4,347.4,0.21,Card,7,1.3,1097.78
+10855,5/4/2024,1421,Electronics,West,7,491.31,0.27,Card,2,2.3,2510.59
+10856,5/5/2024,1338,Home,East,3,464.42,0.26,COD,3,2.5,1031.01
+10857,5/6/2024,1647,Clothing,West,6,484.75,0.2,Card,4,3.9,2326.8
+10858,5/7/2024,1495,Clothing,East,2,529.4,0.11,COD,6,1.9,942.33
+10859,5/8/2024,1364,Clothing,North,1,563.54,0.26,Card,9,2.5,417.02
+10860,5/9/2024,1832,Beauty,South,4,252.23,0.07,COD,4,4.6,938.3
+10861,5/10/2024,1341,Clothing,West,7,347.73,0.27,Card,6,1.5,1776.9
+10862,5/11/2024,1499,Clothing,North,2,477.54,0.28,COD,7,4,687.66
+10863,5/12/2024,1656,Beauty,South,4,422.83,0.29,COD,4,3.8,1200.84
+10864,5/13/2024,1510,Home,South,3,597.38,0.17,COD,6,1.5,1487.48
+10865,5/14/2024,1326,Clothing,South,7,23,0.07,Card,3,3.8,149.73
+10866,5/15/2024,1216,Home,East,2,222.75,0.03,Wallet,5,3.3,432.14
+10867,5/16/2024,1300,Clothing,North,7,179.4,0.26,COD,11,2.2,929.29
+10868,5/17/2024,1131,Electronics,North,6,168.45,0.31,Card,10,2.2,697.38
+10869,5/18/2024,1803,Clothing,South,6,145.18,0.23,Wallet,4,4.3,670.73
+10870,5/19/2024,1069,Beauty,West,5,429.84,0.05,COD,7,1.9,2041.74
+10871,5/20/2024,1251,Beauty,North,1,64.58,0.33,COD,6,3.1,43.27
+10872,5/21/2024,1414,Electronics,East,1,448.84,0.35,Card,7,3.7,291.75
+10873,5/22/2024,1786,Clothing,West,4,420.65,0.15,COD,6,1.5,1430.21
+10874,5/23/2024,1444,Electronics,West,1,161.72,0.21,Card,2,4.7,127.76
+10875,5/24/2024,1875,Beauty,West,7,162.91,0.27,Card,7,2,832.47
+10876,5/25/2024,1181,Beauty,West,7,382.88,0.26,Card,8,2.3,1983.32
+10877,5/26/2024,1166,Clothing,North,5,460.87,0.34,COD,7,3.7,1520.87
+10878,5/27/2024,1090,Home,South,6,527.74,0.04,Card,4,1.3,3039.78
+10879,5/28/2024,1713,Home,West,2,513.5,0.2,Wallet,4,3.5,821.6
+10880,5/29/2024,1857,Clothing,East,2,579.46,0.24,Card,5,4.7,880.78
+10881,5/30/2024,1530,Electronics,East,6,355.11,0.31,Card,9,2,1470.16
+10882,5/31/2024,1038,Clothing,South,3,546.56,0.31,COD,5,2.4,1131.38
+10883,6/1/2024,1125,Home,North,6,487.98,0.34,COD,2,1.9,1932.4
+10884,6/2/2024,1450,Home,South,2,538.38,0.18,Card,5,4.3,882.94
+10885,6/3/2024,1172,Clothing,West,4,21.8,0.29,Card,3,1.7,61.91
+10886,6/4/2024,1652,Beauty,North,5,580.05,0.15,Card,10,2.4,2465.21
+10887,6/5/2024,1753,Electronics,North,6,292.02,0.15,COD,8,3.4,1489.3
+10888,6/6/2024,1219,Clothing,West,3,481.94,0.09,Card,10,2.6,1315.7
+10889,6/7/2024,1637,Home,East,4,89.41,0.29,COD,10,1.3,253.92
+10890,6/8/2024,1057,Home,West,6,246.63,0.35,COD,2,4.8,961.86
+10891,6/9/2024,1659,Clothing,South,4,173.8,0.09,Card,11,2.4,632.63
+10892,6/10/2024,1475,Electronics,West,6,185.62,0.02,Card,4,2.8,1091.45
+10893,6/11/2024,1455,Electronics,East,4,87.1,0.29,Card,5,1.7,247.36
+10894,6/12/2024,1828,Clothing,West,7,486.37,0.22,Card,4,4.5,2655.58
+10895,6/13/2024,1894,Clothing,South,1,20.41,0.34,COD,5,2.2,13.47
+10896,6/14/2024,1360,Electronics,South,4,197.82,0.09,COD,10,1.1,720.06
+10897,6/15/2024,1934,Home,East,7,117.03,0.02,COD,11,2.3,802.83
+10898,6/16/2024,1000,Clothing,South,1,359.59,0.17,Card,4,4.9,298.46
+10899,6/17/2024,1386,Home,South,2,163.74,0.03,Wallet,3,1.6,317.66
+10900,6/18/2024,1972,Home,West,1,166.51,0.09,Card,1,1.1,151.52
+10901,6/19/2024,1347,Electronics,North,4,300.68,0.04,Card,4,3.3,1154.61
+10902,6/20/2024,1189,Electronics,South,5,396.82,0.08,COD,9,2.5,1825.37
+10903,6/21/2024,1504,Home,South,5,85.96,0.04,Wallet,1,4.2,412.61
+10904,6/22/2024,1190,Clothing,East,2,117.67,0.33,Card,7,3.9,157.68
+10905,6/23/2024,1507,Home,East,4,159.6,0.1,COD,3,1.7,574.56
+10906,6/24/2024,1368,Home,West,1,584.64,0.16,Wallet,8,3.3,491.1
+10907,6/25/2024,1408,Home,West,5,247.33,0.31,COD,6,1.1,853.29
+10908,6/26/2024,1823,Beauty,South,6,365.41,0.24,Card,1,2.8,1666.27
+10909,6/27/2024,1928,Clothing,North,3,156.3,0.22,Wallet,10,3.9,365.74
+10910,6/28/2024,1933,Clothing,North,4,301.92,0.25,COD,5,2.7,905.76
+10911,6/29/2024,1116,Clothing,West,7,58.36,0.29,COD,8,1.5,290.05
+10912,6/30/2024,1133,Electronics,East,7,35.32,0.31,COD,11,1.2,170.6
+10913,7/1/2024,1057,Clothing,South,6,289.21,0.22,Wallet,3,4.4,1353.5
+10914,7/2/2024,1555,Electronics,South,6,248.22,0.31,Card,4,4.6,1027.63
+10915,7/3/2024,1684,Beauty,North,4,95.07,0.19,Card,7,2.4,308.03
+10916,7/4/2024,1671,Clothing,West,3,417.25,0.1,COD,11,1.7,1126.58
+10917,7/5/2024,1172,Clothing,North,5,595.85,0.31,Card,6,4.9,2055.68
+10918,7/6/2024,1828,Clothing,North,3,246.45,0.19,Card,7,3.2,598.87
+10919,7/7/2024,1814,Electronics,West,2,380.37,0.32,COD,9,2.9,517.3
+10920,7/8/2024,1148,Electronics,East,1,578.34,0.01,Card,9,4,572.56
+10921,7/9/2024,1079,Clothing,South,1,501.45,0.14,COD,2,1.7,431.25
+10922,7/10/2024,1885,Electronics,East,6,286.18,0.33,Wallet,3,3.3,1150.44
+10923,7/11/2024,1212,Clothing,West,5,446.43,0.09,Card,4,4.6,2031.26
+10924,7/12/2024,1202,Beauty,West,3,89.96,0.33,Wallet,6,1.1,180.82
+10925,7/13/2024,1763,Beauty,South,6,314.58,0.33,Card,5,3.7,1264.61
+10926,7/14/2024,1228,Home,East,4,178.25,0.31,Wallet,6,3.2,491.97
+10927,7/15/2024,1675,Electronics,South,6,109.28,0.2,Wallet,11,4.8,524.54
+10928,7/16/2024,1226,Beauty,North,4,264.37,0.23,Card,8,2,814.26
+10929,7/17/2024,1658,Beauty,North,4,91.64,0.3,Card,2,4.4,256.59
+10930,7/18/2024,1531,Electronics,North,2,423.91,0.27,Card,6,2.2,618.91
+10931,7/19/2024,1440,Home,East,2,281.9,0.22,Wallet,9,2.7,439.76
+10932,7/20/2024,1401,Electronics,North,4,325.72,0.34,Wallet,5,1.9,859.9
+10933,7/21/2024,1046,Home,South,5,100.63,0.24,Card,1,4.5,382.39
+10934,7/22/2024,1232,Beauty,East,2,96.77,0.34,COD,8,1.8,127.74
+10935,7/23/2024,1304,Electronics,South,2,356.3,0.02,Card,4,4.4,698.35
+10936,7/24/2024,1525,Beauty,West,1,591.23,0.05,COD,8,2.8,561.67
+10937,7/25/2024,1142,Clothing,East,6,71.31,0.16,Wallet,4,4.3,359.4
+10938,7/26/2024,1414,Beauty,South,1,182.15,0.13,Card,11,2.1,158.47
+10939,7/27/2024,1512,Clothing,South,5,523.63,0.27,Wallet,8,1.5,1911.25
+10940,7/28/2024,1372,Home,East,2,57.28,0.06,Wallet,9,3.2,107.69
+10941,7/29/2024,1565,Electronics,West,7,527.39,0.34,Wallet,5,3,2436.54
+10942,7/30/2024,1885,Electronics,East,2,321.71,0.11,Card,5,2.4,572.64
+10943,7/31/2024,1258,Electronics,North,3,253.84,0.15,Card,2,3.7,647.29
+10944,8/1/2024,1655,Beauty,North,5,196.16,0.1,Card,9,1.4,882.72
+10945,8/2/2024,1470,Home,West,7,188.81,0.2,COD,11,3.5,1057.34
+10946,8/3/2024,1952,Beauty,South,6,193.89,0.02,COD,4,1.8,1140.07
+10947,8/4/2024,1970,Beauty,South,6,532.61,0.05,Card,3,1.5,3035.88
+10948,8/5/2024,1011,Electronics,South,7,438.42,0.26,COD,2,4.6,2271.02
+10949,8/6/2024,1329,Clothing,East,6,406.79,0.07,Card,3,2.8,2269.89
+10950,8/7/2024,1735,Electronics,East,7,482.27,0.08,Card,4,4.1,3105.82
+10951,8/8/2024,1783,Electronics,West,5,165.41,0.28,Card,9,1.4,595.48
+10952,8/9/2024,1967,Electronics,North,7,376.56,0.03,Card,6,1.2,2556.84
+10953,8/10/2024,1357,Clothing,South,7,284.14,0.15,Card,10,3,1690.63
+10954,8/11/2024,1971,Electronics,North,3,472.73,0.01,Card,5,2.3,1404.01
+10955,8/12/2024,1407,Electronics,East,3,195.91,0.12,Wallet,9,1,517.2
+10956,8/13/2024,1667,Electronics,East,1,391.26,0.24,COD,8,1.7,297.36
+10957,8/14/2024,1372,Electronics,East,5,531.09,0.03,Card,6,1.9,2575.79
+10958,8/15/2024,1007,Beauty,North,5,250.26,0.31,COD,3,2.2,863.4
+10959,8/16/2024,1121,Home,West,3,53.97,0.32,COD,7,4.5,110.1
+10960,8/17/2024,1347,Beauty,West,4,316.89,0.04,Card,10,2.7,1216.86
+10961,8/18/2024,1675,Clothing,East,4,217.39,0.35,COD,6,3.7,565.21
+10962,8/19/2024,1089,Electronics,South,1,408.25,0.1,COD,11,1.1,367.42
+10963,8/20/2024,1647,Home,North,4,571.35,0.03,COD,8,4.3,2216.84
+10964,8/21/2024,1697,Electronics,East,4,299.08,0,COD,6,2,1196.32
+10965,8/22/2024,1315,Electronics,North,4,287.72,0.14,COD,11,2.2,989.76
+10966,8/23/2024,1177,Electronics,North,2,397.93,0.22,Card,10,1.2,620.77
+10967,8/24/2024,1539,Electronics,West,1,75.55,0.12,Wallet,4,2.6,66.48
+10968,8/25/2024,1731,Electronics,East,3,163.3,0.29,Card,10,4.4,347.83
+10969,8/26/2024,1868,Clothing,West,4,552.6,0.25,Wallet,7,2.5,1657.8
+10970,8/27/2024,1040,Home,East,6,406.92,0.12,Card,7,4.6,2148.54
+10971,8/28/2024,1739,Electronics,North,7,22.86,0.26,Card,11,4.5,118.41
+10972,8/29/2024,1703,Electronics,West,2,134.71,0.33,COD,8,1.2,180.51
+10973,8/30/2024,1922,Home,North,4,414.46,0.03,Card,2,2.2,1608.1
+10974,8/31/2024,1501,Electronics,East,7,462.17,0.11,Wallet,11,4.6,2879.32
+10975,9/1/2024,1958,Electronics,South,7,506.32,0.16,Card,6,1.1,2977.16
+10976,9/2/2024,1144,Beauty,West,2,185.92,0.17,COD,3,4.1,308.63
+10977,9/3/2024,1200,Electronics,West,1,559.65,0.19,Card,8,4.6,453.32
+10978,9/4/2024,1928,Electronics,North,6,338.47,0.11,Card,4,4.1,1807.43
+10979,9/5/2024,1723,Clothing,North,6,422.48,0.23,Card,4,4,1951.86
+10980,9/6/2024,1460,Electronics,South,6,364.09,0.23,COD,2,4.4,1682.1
+10981,9/7/2024,1731,Clothing,West,4,86.8,0.2,COD,6,3.7,277.76
+10982,9/8/2024,1751,Home,East,2,578.42,0.04,COD,6,2.7,1110.57
+10983,9/9/2024,1924,Electronics,East,6,86.88,0.17,Wallet,1,1.3,432.66
+10984,9/10/2024,1908,Clothing,West,7,164.11,0.12,COD,8,4.2,1010.92
+10985,9/11/2024,1557,Clothing,West,7,490.97,0.17,Wallet,3,4.6,2852.54
+10986,9/12/2024,1546,Electronics,West,5,376.88,0.32,Card,1,3,1281.39
+10987,9/13/2024,1252,Clothing,South,5,505.32,0.17,Card,10,3.1,2097.08
+10988,9/14/2024,1389,Electronics,East,2,316.71,0,Card,1,2.6,633.42
+10989,9/15/2024,1593,Clothing,East,4,235.54,0.15,Card,1,4.4,800.84
+10990,9/16/2024,1882,Electronics,North,4,554.28,0.29,COD,5,1.1,1574.16
+10991,9/17/2024,1255,Clothing,North,1,36.21,0.27,COD,5,3.5,26.43
+10992,9/18/2024,1708,Electronics,West,1,515.84,0.18,COD,1,4.6,422.99
+10993,9/19/2024,1814,Home,North,6,150.03,0.09,COD,5,1.4,819.16
+10994,9/20/2024,1920,Electronics,South,3,511.51,0.16,Wallet,7,4.8,1289.01
+10995,9/21/2024,1449,Clothing,East,7,96.43,0.2,Wallet,5,4.9,540.01
+10996,9/22/2024,1009,Clothing,East,1,354.43,0.35,Card,9,4.7,230.38
+10997,9/23/2024,1823,Home,North,4,534.54,0.23,Card,4,2.9,1646.38
+10998,9/24/2024,1797,Clothing,West,7,292.02,0.24,Card,9,2.5,1553.55
+10999,9/25/2024,1241,Home,North,3,451.74,0.17,Card,8,3.8,1124.83
+11000,9/26/2024,1250,Home,West,1,485.73,0.12,COD,1,2.3,427.44
+11001,9/27/2024,1876,Beauty,South,2,445.85,0.28,COD,4,1.3,642.02
+11002,9/28/2024,1004,Electronics,East,5,556.32,0.17,Card,7,4.6,2308.73
+11003,9/29/2024,1118,Clothing,South,1,276.4,0.35,COD,1,3.5,179.66
+11004,9/30/2024,1800,Home,East,1,116.28,0.16,COD,8,1.8,97.68
+11005,10/1/2024,1373,Beauty,South,2,42.97,0.02,Card,11,1.1,84.22
+11006,10/2/2024,1064,Beauty,North,4,159.18,0.24,Card,2,3.9,483.91
+11007,10/3/2024,1145,Clothing,South,6,98.77,0.02,Wallet,8,4.4,580.77
+11008,10/4/2024,1223,Electronics,South,2,341.4,0.09,COD,11,2.6,621.35
+11009,10/5/2024,1238,Clothing,North,6,123.19,0.12,Card,4,1.3,650.44
+11010,10/6/2024,1176,Home,East,1,37.78,0.26,Card,8,3.6,27.96
+11011,10/7/2024,1778,Clothing,East,4,36.05,0.17,Card,1,2.2,119.69
+11012,10/8/2024,1852,Clothing,North,3,501.47,0.01,Card,5,1.6,1489.37
+11013,10/9/2024,1281,Home,South,1,361,0.22,Wallet,9,3,281.58
+11014,10/10/2024,1062,Clothing,South,2,224.48,0.14,Card,7,2.9,386.11
+11015,10/11/2024,1216,Beauty,South,3,538.12,0.32,Card,3,3.1,1097.76
+11016,10/12/2024,1853,Clothing,West,5,56.07,0.17,Card,4,4.3,232.69
+11017,10/13/2024,1826,Electronics,East,3,588.49,0.25,COD,10,2.9,1324.1
+11018,10/14/2024,1794,Clothing,South,2,375.53,0.08,Card,7,4.6,690.98
+11019,10/15/2024,1688,Home,East,7,122.33,0.27,Card,6,4.4,625.11
+11020,10/16/2024,1460,Electronics,South,3,412.26,0.25,COD,4,3.6,927.58
+11021,10/17/2024,1928,Electronics,North,2,461.58,0.32,Card,3,1.2,627.75
+11022,10/18/2024,1609,Beauty,North,7,266.17,0.01,Card,11,4.5,1844.56
+11023,10/19/2024,1104,Electronics,East,1,519.06,0.16,Card,2,4.6,436.01
+11024,10/20/2024,1098,Clothing,East,7,103.18,0.24,COD,10,2.5,548.92
+11025,10/21/2024,1510,Clothing,North,4,178.12,0.03,Wallet,9,3.1,691.11
+11026,10/22/2024,1384,Clothing,West,5,69.69,0.14,Card,3,2.1,299.67
+11027,10/23/2024,1404,Clothing,North,7,138.36,0.33,Card,7,1.1,648.91
+11028,10/24/2024,1822,Electronics,South,4,154.66,0.15,Card,1,2.9,525.84
+11029,10/25/2024,1517,Clothing,West,4,551.82,0.34,COD,8,1.5,1456.8
+11030,10/26/2024,1475,Clothing,North,4,60.69,0.02,COD,1,1.7,237.9
+11031,10/27/2024,1976,Home,West,7,265.04,0.25,COD,2,2.9,1391.46
+11032,10/28/2024,1708,Electronics,West,2,326.45,0.2,COD,1,4.5,522.32
+11033,10/29/2024,1862,Clothing,West,2,540.74,0.18,Wallet,4,4.4,886.81
+11034,10/30/2024,1644,Electronics,East,5,598.65,0.34,Wallet,2,4.9,1975.54
+11035,10/31/2024,1869,Electronics,North,2,455.73,0.05,COD,1,2.9,865.89
+11036,11/1/2024,1770,Electronics,East,6,582.91,0.31,COD,1,3.2,2413.25
+11037,11/2/2024,1436,Electronics,East,2,475.45,0.24,Card,2,4.3,722.68
+11038,11/3/2024,1022,Home,South,2,578.47,0.09,COD,6,3.8,1052.82
+11039,11/4/2024,1996,Electronics,South,2,428.75,0.32,COD,2,1.7,583.1
+11040,11/5/2024,1564,Beauty,West,1,61.66,0.15,COD,11,2.6,52.41
+11041,11/6/2024,1676,Beauty,West,5,250.12,0.28,Card,2,4.7,900.43
+11042,11/7/2024,1713,Clothing,South,6,393.26,0.14,COD,8,1.6,2029.22
+11043,11/8/2024,1457,Electronics,South,2,220.17,0.3,COD,5,1.8,308.24
+11044,11/9/2024,1082,Clothing,North,5,174.93,0.22,COD,8,2.6,682.23
+11045,11/10/2024,1144,Home,West,3,352.78,0.05,Card,8,4.8,1005.42
+11046,11/11/2024,1084,Clothing,West,1,561.1,0.23,Card,2,1.5,432.05
+11047,11/12/2024,1077,Electronics,South,7,35.46,0.07,Card,7,3.7,230.84
+11048,11/13/2024,1456,Clothing,North,2,465,0.14,Wallet,9,1.5,799.8
+11049,11/14/2024,1877,Home,South,6,437.8,0.06,COD,8,3.1,2469.19
+11050,11/15/2024,1000,Home,South,1,578.91,0.01,Card,9,3.1,573.12
+11051,11/16/2024,1050,Electronics,East,6,559.47,0.07,Card,8,1.2,3121.84
+11052,11/17/2024,1684,Home,West,7,460.91,0.19,COD,4,4.8,2613.36
+11053,11/18/2024,1716,Electronics,North,7,319.44,0.17,Card,10,4.2,1855.95
+11054,11/19/2024,1771,Electronics,East,1,134.5,0.18,Wallet,7,2.2,110.29
+11055,11/20/2024,1445,Beauty,West,3,333.96,0.09,COD,9,1.5,911.71
+11056,11/21/2024,1448,Electronics,South,5,462.73,0.24,Card,9,2.4,1758.37
+11057,11/22/2024,1880,Electronics,North,1,538.97,0.25,COD,4,4.6,404.23
+11058,11/23/2024,1487,Electronics,West,4,476.98,0.13,Card,7,1.5,1659.89
+11059,11/24/2024,1799,Beauty,South,7,129.23,0.31,Wallet,6,2.4,624.18
+11060,11/25/2024,1033,Home,East,3,365.82,0.23,Card,3,3,845.04
+11061,11/26/2024,1347,Clothing,North,7,209.32,0.25,Wallet,10,1.1,1098.93
+11062,11/27/2024,1094,Home,West,4,20.39,0.1,COD,6,2.1,73.4
+11063,11/28/2024,1071,Electronics,East,3,132.13,0,Wallet,8,3.4,396.39
+11064,11/29/2024,1550,Clothing,South,7,81.23,0.3,Card,2,2.3,398.03
+11065,11/30/2024,1153,Clothing,South,4,507.99,0.29,Card,3,4.5,1442.69
+11066,12/1/2024,1249,Electronics,West,4,166.23,0.04,COD,8,4.7,638.32
+11067,12/2/2024,1673,Clothing,South,7,181.55,0.13,COD,4,2.8,1105.64
+11068,12/3/2024,1437,Beauty,North,7,576.56,0.23,Card,4,3.1,3107.66
+11069,12/4/2024,1117,Electronics,West,6,236.77,0.23,Card,2,3.5,1093.88
+11070,12/5/2024,1770,Electronics,East,1,20.61,0.3,Card,11,3.7,14.43
+11071,12/6/2024,1890,Electronics,West,1,181.05,0.05,COD,10,1.3,172
+11072,12/7/2024,1305,Electronics,West,3,84.79,0.15,Card,1,1.2,216.21
+11073,12/8/2024,1267,Beauty,East,5,75.14,0.03,Card,7,4.5,364.43
+11074,12/9/2024,1960,Clothing,South,7,60.33,0.14,Card,4,1.9,363.19
+11075,12/10/2024,1053,Clothing,East,6,362.06,0.01,Card,6,3.3,2150.64
+11076,12/11/2024,1235,Home,North,1,125.77,0.31,Card,8,3.5,86.78
+11077,12/12/2024,1388,Electronics,South,1,226.33,0.18,Wallet,11,1.7,185.59
+11078,12/13/2024,1989,Clothing,West,6,519.28,0.3,Card,7,4,2180.98
+11079,12/14/2024,1733,Clothing,South,2,263.24,0.02,Wallet,7,4.5,515.95
+11080,12/15/2024,1762,Clothing,South,6,550.68,0.08,Card,6,2.1,3039.75
+11081,12/16/2024,1824,Beauty,North,1,306.29,0.09,Card,11,4.5,278.72
+11082,12/17/2024,1400,Home,South,5,248.32,0.14,Card,4,1.3,1067.78
+11083,12/18/2024,1623,Clothing,South,2,453.98,0.28,COD,4,4.2,653.73
+11084,12/19/2024,1766,Home,South,4,57.81,0.14,COD,9,3.6,198.87
+11085,12/20/2024,1302,Electronics,West,6,67.34,0.07,COD,11,3.3,375.76
+11086,12/21/2024,1918,Electronics,South,4,396.4,0.02,Card,5,1.9,1553.89
+11087,12/22/2024,1206,Electronics,East,2,299.86,0.03,Wallet,9,2.4,581.73
+11088,12/23/2024,1228,Electronics,South,2,477.39,0.27,Wallet,11,4.6,696.99
+11089,12/24/2024,1852,Clothing,North,2,551.02,0.16,Card,9,2.9,925.71
+11090,12/25/2024,1909,Clothing,South,3,242.19,0.25,COD,4,3.4,544.93
+11091,12/26/2024,1577,Beauty,South,6,363.9,0.24,COD,2,4.7,1659.38
+11092,12/27/2024,1074,Clothing,West,7,307.91,0.05,Card,2,2.9,2047.6
+11093,12/28/2024,1434,Clothing,East,5,589.24,0.05,Card,9,2.6,2798.89
+11094,12/29/2024,1102,Electronics,South,5,501.18,0.26,COD,9,4.6,1854.37
+11095,12/30/2024,1421,Electronics,East,4,548.37,0.25,Wallet,3,4.6,1645.11
+11096,12/31/2024,1703,Clothing,North,4,163.79,0.13,Card,5,2.4,569.99
+11097,1/1/2025,1763,Clothing,West,7,466.93,0.03,COD,5,3.4,3170.45
+11098,1/2/2025,1737,Home,East,4,170.3,0,Wallet,2,4.9,681.2
+11099,1/3/2025,1805,Electronics,West,6,137.11,0.1,Card,2,1.2,740.39
+11100,1/4/2025,1305,Electronics,South,1,567.4,0,Card,10,1.2,567.4
+11101,1/5/2025,1097,Clothing,North,4,26.29,0.08,COD,1,3.1,96.75
+11102,1/6/2025,1849,Electronics,West,2,579.75,0.15,Card,2,2.2,985.58
+11103,1/7/2025,1797,Electronics,South,4,102.32,0.04,Card,11,3.3,392.91
+11104,1/8/2025,1334,Home,East,2,494.37,0.04,Card,7,3.9,949.19
+11105,1/9/2025,1858,Electronics,North,3,176.41,0.31,Card,1,1.3,365.17
+11106,1/10/2025,1434,Clothing,North,1,220.16,0.2,Wallet,1,4.5,176.13
+11107,1/11/2025,1446,Electronics,East,1,141.8,0.33,COD,9,2.1,95.01
+11108,1/12/2025,1993,Electronics,East,7,357.53,0.12,Card,2,2.5,2202.38
+11109,1/13/2025,1307,Clothing,North,6,218.64,0.24,COD,11,2.3,997
+11110,1/14/2025,1248,Home,West,6,399.57,0.07,Wallet,4,4.4,2229.6
+11111,1/15/2025,1165,Clothing,North,5,24.15,0.22,Card,11,1.7,94.18
+11112,1/16/2025,1480,Home,East,3,52.66,0.05,Card,3,1.1,150.08
+11113,1/17/2025,1983,Electronics,West,7,73.3,0,Wallet,11,4.9,513.1
+11114,1/18/2025,1334,Home,South,6,260.11,0.33,Wallet,4,4.9,1045.64
+11115,1/19/2025,1541,Electronics,North,2,491.66,0.19,Card,11,2,796.49
+11116,1/20/2025,1758,Home,East,3,534.58,0.32,Card,11,1,1090.54
+11117,1/21/2025,1105,Clothing,South,1,158.21,0.12,Card,7,3.6,139.22
+11118,1/22/2025,1562,Beauty,North,2,351.01,0.11,Card,10,3.6,624.8
+11119,1/23/2025,1080,Clothing,North,7,464.49,0.14,COD,2,4.8,2796.23
+11120,1/24/2025,1132,Electronics,West,7,183.97,0.25,Card,2,2.2,965.84
+11121,1/25/2025,1796,Electronics,East,3,254.27,0.2,Card,9,1.8,610.25
+11122,1/26/2025,1899,Home,South,1,321.52,0.32,COD,6,3.5,218.63
+11123,1/27/2025,1137,Clothing,North,6,93.9,0.01,Wallet,11,3.3,557.77
+11124,1/28/2025,1183,Home,West,2,30.2,0.25,Card,7,3.9,45.3
+11125,1/29/2025,1400,Electronics,South,2,104.39,0.12,Card,5,4.5,183.73
+11126,1/30/2025,1329,Electronics,South,1,381.71,0.06,Wallet,5,3.2,358.81
+11127,1/31/2025,1784,Electronics,North,2,58.07,0.18,COD,4,1.6,95.23
+11128,2/1/2025,1507,Beauty,South,6,125.97,0.18,Card,8,3.4,619.77
+11129,2/2/2025,1851,Home,North,6,212.64,0.05,Card,7,2.5,1212.05
+11130,2/3/2025,1983,Beauty,West,6,60.55,0.07,Card,10,2.8,337.87
+11131,2/4/2025,1068,Electronics,West,1,127.14,0.14,COD,2,4.8,109.34
+11132,2/5/2025,1545,Clothing,South,4,548.09,0.14,Card,2,3.2,1885.43
+11133,2/6/2025,1773,Home,North,4,26.29,0.11,Card,6,1.6,93.59
+11134,2/7/2025,1052,Electronics,East,7,397.26,0.05,Card,11,2.8,2641.78
+11135,2/8/2025,1449,Home,West,7,239.88,0,Card,1,1.9,1679.16
+11136,2/9/2025,1204,Beauty,North,2,408.5,0.34,COD,7,1.5,539.22
+11137,2/10/2025,1125,Beauty,North,6,359.38,0.33,Card,8,3.8,1444.71
+11138,2/11/2025,1746,Home,North,2,145.75,0.17,Card,10,3.5,241.94
+11139,2/12/2025,1042,Electronics,South,1,510.62,0.35,Wallet,8,3,331.9
+11140,2/13/2025,1751,Electronics,East,2,302.79,0.24,COD,3,2.7,460.24
+11141,2/14/2025,1970,Beauty,South,5,496.18,0.02,Card,7,2.3,2431.28
+11142,2/15/2025,1882,Electronics,West,4,252.52,0.04,COD,1,1.4,969.68
+11143,2/16/2025,1110,Home,South,2,591.04,0.32,Card,11,2.2,803.81
+11144,2/17/2025,1760,Home,North,2,465.74,0.22,COD,3,4.4,726.55
+11145,2/18/2025,1662,Clothing,South,3,580.08,0.3,COD,6,4.1,1218.17
+11146,2/19/2025,1182,Beauty,North,2,315.88,0.31,COD,9,4.9,435.91
+11147,2/20/2025,1847,Electronics,East,5,292.11,0.16,COD,5,3.6,1226.86
+11148,2/21/2025,1094,Electronics,South,4,456.94,0.02,Card,5,3.2,1791.2
+11149,2/22/2025,1970,Electronics,South,3,529.97,0.07,COD,9,2.2,1478.62
+11150,2/23/2025,1373,Clothing,South,1,579.03,0.02,Card,9,1.3,567.45
+11151,2/24/2025,1911,Electronics,North,7,204.86,0.07,Card,6,3.5,1333.64
+11152,2/25/2025,1519,Electronics,North,1,482.24,0.14,Wallet,5,3,414.73
+11153,2/26/2025,1899,Home,South,4,138.23,0.04,COD,10,4,530.8
+11154,2/27/2025,1359,Beauty,South,7,334.16,0.06,Wallet,2,2.6,2198.77
+11155,2/28/2025,1899,Electronics,East,1,120.21,0.16,Card,11,4.9,100.98
+11156,3/1/2025,1695,Clothing,East,5,218.23,0.12,COD,8,2.6,960.21
+11157,3/2/2025,1280,Beauty,West,2,559.84,0.16,Card,8,2.3,940.53
+11158,3/3/2025,1194,Electronics,East,4,100.46,0.15,COD,7,4.5,341.56
+11159,3/4/2025,1863,Electronics,East,7,384.95,0.23,Card,8,2.6,2074.88
+11160,3/5/2025,1194,Electronics,East,3,361.88,0.33,Card,3,4.5,727.38
+11161,3/6/2025,1666,Clothing,North,2,85.63,0.04,Card,3,1.1,164.41
+11162,3/7/2025,1092,Electronics,East,1,205.7,0.03,COD,2,3.8,199.53
+11163,3/8/2025,1671,Beauty,East,1,344.34,0.3,Card,1,1.3,241.04
+11164,3/9/2025,1945,Clothing,South,3,124.5,0.18,Wallet,3,1.6,306.27
+11165,3/10/2025,1060,Clothing,North,5,483.36,0.27,Card,3,3.8,1764.26
+11166,3/11/2025,1633,Electronics,West,3,583.71,0.08,Card,7,2.2,1611.04
+11167,3/12/2025,1050,Clothing,West,4,140.63,0.29,Card,10,1.8,399.39
+11168,3/13/2025,1402,Home,East,3,124.34,0.32,Wallet,9,4.2,253.65
+11169,3/14/2025,1788,Home,West,1,281.14,0.22,Card,1,4.8,219.29
+11170,3/15/2025,1004,Home,West,5,452.44,0.04,Card,8,1.9,2171.71
+11171,3/16/2025,1465,Clothing,West,5,179.74,0.31,COD,1,2.3,620.1
+11172,3/17/2025,1603,Beauty,East,6,26.63,0.28,Card,3,3.9,115.04
+11173,3/18/2025,1681,Home,West,3,331.61,0.26,COD,4,4.3,736.17
+11174,3/19/2025,1828,Home,East,4,574.61,0.01,Card,11,5,2275.46
+11175,3/20/2025,1533,Electronics,South,1,243.9,0.28,COD,8,2.1,175.61
+11176,3/21/2025,1404,Electronics,South,2,260.78,0.05,Card,1,3.2,495.48
+11177,3/22/2025,1837,Electronics,West,5,581.81,0.08,COD,2,1.5,2676.33
+11178,3/23/2025,1512,Home,South,3,421.35,0.2,COD,11,2.3,1011.24
+11179,3/24/2025,1644,Clothing,East,6,435.72,0.09,COD,5,1.2,2379.03
+11180,3/25/2025,1232,Clothing,South,4,344.18,0.23,COD,6,1.8,1060.07
+11181,3/26/2025,1523,Beauty,West,4,585.15,0.21,Wallet,5,3,1849.07
+11182,3/27/2025,1345,Beauty,East,7,417.99,0.04,Card,3,1.7,2808.89
+11183,3/28/2025,1045,Beauty,North,1,538.59,0.23,Card,10,4.6,414.71
+11184,3/29/2025,1545,Electronics,East,5,424.14,0.32,COD,7,3.8,1442.08
+11185,3/30/2025,1944,Home,South,1,445.04,0.06,COD,1,1.1,418.34
+11186,3/31/2025,1077,Electronics,North,6,184.89,0.21,Card,2,4.5,876.38
+11187,4/1/2025,1729,Electronics,East,2,192.54,0.12,COD,11,4.9,338.87
+11188,4/2/2025,1812,Electronics,North,2,473.05,0.16,Card,9,3,794.72
+11189,4/3/2025,1922,Electronics,North,2,188.57,0.1,COD,4,2.3,339.43
+11190,4/4/2025,1072,Clothing,North,4,344.22,0.12,Wallet,8,2.1,1211.65
+11191,4/5/2025,1793,Home,East,5,160.87,0.01,COD,9,1.3,796.31
+11192,4/6/2025,1248,Electronics,South,1,492.94,0.34,Card,7,3,325.34
+11193,4/7/2025,1046,Home,East,1,79.64,0.22,COD,1,1.2,62.12
+11194,4/8/2025,1120,Clothing,South,6,500.23,0.18,COD,5,3,2461.13
+11195,4/9/2025,1213,Electronics,East,2,367.6,0.13,Card,6,2,639.62
+11196,4/10/2025,1238,Clothing,East,5,124.34,0.19,COD,11,2.9,503.58
+11197,4/11/2025,1055,Electronics,East,5,332.09,0.13,Wallet,8,2.7,1444.59
+11198,4/12/2025,1349,Clothing,South,6,180.26,0.13,Card,10,2.2,940.96
+11199,4/13/2025,1106,Clothing,East,3,204.23,0.16,Card,8,2.8,514.66
+11200,4/14/2025,1830,Electronics,North,5,220.64,0.1,Card,9,2.9,992.88
+11201,4/15/2025,1047,Electronics,East,5,52.04,0.06,COD,9,4.3,244.59
+11202,4/16/2025,1572,Clothing,North,1,591.79,0.19,Wallet,4,3.7,479.35
+11203,4/17/2025,1336,Beauty,West,6,33.45,0.29,COD,6,2.7,142.5
+11204,4/18/2025,1025,Electronics,West,5,402.56,0.05,Card,3,4.6,1912.16
+11205,4/19/2025,1803,Home,South,5,232.17,0.01,COD,1,4,1149.24
+11206,4/20/2025,1256,Home,South,1,392.92,0.09,COD,6,1.3,357.56
+11207,4/21/2025,1007,Beauty,West,5,223.41,0.34,COD,1,1.6,737.25
+11208,4/22/2025,1624,Home,East,1,409.14,0.29,Card,9,1.3,290.49
+11209,4/23/2025,1866,Clothing,East,3,441.6,0.21,COD,11,2.3,1046.59
+11210,4/24/2025,1252,Home,East,4,418.97,0.33,Card,6,2.7,1122.84
+11211,4/25/2025,1691,Beauty,West,7,81.67,0.16,Card,1,3,480.22
+11212,4/26/2025,1718,Clothing,North,1,399.28,0.34,COD,11,4.4,263.52
+11213,4/27/2025,1302,Electronics,South,1,178.79,0.1,Wallet,3,1.1,160.91
+11214,4/28/2025,1638,Electronics,North,5,31.85,0.08,Card,1,2.7,146.51
+11215,4/29/2025,1055,Home,West,1,257.68,0.22,Wallet,2,2.6,200.99
+11216,4/30/2025,1725,Home,North,6,268.62,0.13,Card,6,4.8,1402.2
+11217,5/1/2025,1525,Electronics,East,2,288.3,0.22,COD,7,2,449.75
+11218,5/2/2025,1473,Clothing,East,2,427.32,0.11,Card,1,1.5,760.63
+11219,5/3/2025,1027,Clothing,North,3,195.67,0.22,Card,10,1.6,457.87
+11220,5/4/2025,1982,Electronics,West,1,199.44,0.1,COD,5,3.1,179.5
+11221,5/5/2025,1077,Beauty,North,6,50.42,0.02,COD,6,2.6,296.47
+11222,5/6/2025,1215,Electronics,East,5,416.79,0.32,COD,4,4,1417.09
+11223,5/7/2025,1385,Electronics,East,5,347.18,0.31,COD,6,2.3,1197.77
+11224,5/8/2025,1364,Clothing,West,7,219.41,0.34,COD,5,1.5,1013.67
+11225,5/9/2025,1665,Home,North,4,427.54,0.25,Wallet,11,2.5,1282.62
+11226,5/10/2025,1525,Electronics,East,3,329.35,0.24,COD,7,4.5,750.92
+11227,5/11/2025,1698,Home,East,6,289.51,0.2,Card,4,2.6,1389.65
+11228,5/12/2025,1311,Clothing,North,6,314.12,0.04,Card,1,4.3,1809.33
+11229,5/13/2025,1882,Electronics,North,7,387.26,0.07,Card,2,2.5,2521.06
+11230,5/14/2025,1006,Electronics,South,7,401.1,0.1,COD,6,2.1,2526.93
+11231,5/15/2025,1002,Clothing,West,5,184.04,0.31,Card,10,4.1,634.94
+11232,5/16/2025,1622,Electronics,West,4,97.33,0.06,Card,11,1.8,365.96
+11233,5/17/2025,1918,Beauty,North,5,106.63,0.32,Card,2,1.9,362.54
+11234,5/18/2025,1749,Home,West,4,389.04,0.18,COD,5,1.2,1276.05
+11235,5/19/2025,1362,Beauty,East,2,525.63,0.25,Card,4,1.8,788.44
+11236,5/20/2025,1750,Electronics,North,6,254.56,0.04,Card,7,2.5,1466.27
+11237,5/21/2025,1507,Beauty,North,7,114.17,0.09,COD,4,2.6,727.26
+11238,5/22/2025,1273,Clothing,North,2,457.61,0.34,COD,7,2.7,604.05
+11239,5/23/2025,1505,Electronics,South,5,502.01,0.09,Card,11,2.9,2284.15
+11240,5/24/2025,1805,Electronics,West,3,530.14,0.1,COD,8,3.3,1431.38
+11241,5/25/2025,1738,Electronics,South,1,370,0.07,Card,7,1.8,344.1
+11242,5/26/2025,1882,Home,East,3,518.53,0.05,Wallet,2,3.5,1477.81
+11243,5/27/2025,1014,Clothing,West,3,24.02,0.08,Card,11,2.3,66.3
+11244,5/28/2025,1191,Electronics,South,1,77.73,0.22,Wallet,1,3.9,60.63
+11245,5/29/2025,1984,Clothing,North,6,69.16,0.16,Wallet,5,3.2,348.57
+11246,5/30/2025,1630,Electronics,South,2,431.87,0.19,COD,7,3.2,699.63
+11247,5/31/2025,1484,Clothing,North,2,55.71,0.04,Card,1,3.7,106.96
+11248,6/1/2025,1027,Clothing,South,6,305.37,0.28,COD,11,2.3,1319.2
+11249,6/2/2025,1713,Home,South,1,291.53,0.27,Card,8,2.7,212.82
+11250,6/3/2025,1038,Home,South,4,196.76,0.01,Wallet,3,3.3,779.17
+11251,6/4/2025,1952,Clothing,North,3,524.19,0.13,COD,7,2.7,1368.14
+11252,6/5/2025,1272,Clothing,South,5,114.7,0.02,Wallet,3,2.8,562.03
+11253,6/6/2025,1230,Clothing,West,2,221.19,0.28,COD,4,2.1,318.51
+11254,6/7/2025,1085,Home,West,6,467.89,0.26,COD,8,2.1,2077.43
+11255,6/8/2025,1473,Electronics,West,5,32.8,0.32,COD,2,3.8,111.52
+11256,6/9/2025,1125,Electronics,North,7,408.68,0.08,Card,6,1,2631.9
+11257,6/10/2025,1811,Electronics,North,1,492.59,0.16,COD,10,1.4,413.78
+11258,6/11/2025,1536,Clothing,West,5,560.38,0.06,COD,9,4.8,2633.79
+11259,6/12/2025,1144,Clothing,West,5,527.63,0.13,Wallet,10,1.7,2295.19
+11260,6/13/2025,1524,Home,West,3,201.84,0.18,COD,9,2.7,496.53
+11261,6/14/2025,1211,Electronics,East,1,358.02,0.02,Wallet,5,4.4,350.86
+11262,6/15/2025,1024,Clothing,West,5,60.22,0.25,Wallet,3,1,225.82
+11263,6/16/2025,1579,Home,South,2,165.85,0.19,COD,6,4.7,268.68
+11264,6/17/2025,1393,Home,East,1,70.12,0.29,Card,9,1.2,49.79
+11265,6/18/2025,1066,Clothing,East,2,199.38,0.1,COD,6,1.7,358.88
+11266,6/19/2025,1232,Clothing,North,6,526.98,0.32,Card,4,1.1,2150.08
+11267,6/20/2025,1108,Electronics,South,6,218.09,0.35,Card,11,3.1,850.55
+11268,6/21/2025,1145,Beauty,North,7,343.71,0.32,Card,5,4.8,1636.06
+11269,6/22/2025,1110,Electronics,North,4,268.53,0.27,Wallet,7,4.4,784.11
+11270,6/23/2025,1227,Beauty,South,6,283.47,0.28,Card,10,3.6,1224.59
+11271,6/24/2025,1110,Home,North,5,582.2,0.2,COD,3,1.7,2328.8
+11272,6/25/2025,1469,Clothing,South,1,188.25,0.07,Wallet,9,4.5,175.07
+11273,6/26/2025,1033,Electronics,South,6,381.98,0.24,COD,1,4,1741.83
+11274,6/27/2025,1622,Clothing,North,2,260.74,0.25,COD,8,2.1,391.11
+11275,6/28/2025,1775,Clothing,West,5,50.77,0.34,COD,5,4.2,167.54
+11276,6/29/2025,1935,Electronics,North,6,301.26,0.19,Card,10,4.5,1464.12
+11277,6/30/2025,1368,Home,East,3,490.81,0.09,Card,9,3.8,1339.91
+11278,7/1/2025,1747,Beauty,North,2,72.77,0.24,Wallet,2,1.4,110.61
+11279,7/2/2025,1594,Clothing,South,7,55.71,0.34,Card,1,4.9,257.38
+11280,7/3/2025,1553,Home,East,7,104.87,0.06,COD,10,1.3,690.04
+11281,7/4/2025,1424,Electronics,South,7,462.17,0.11,COD,7,3.6,2879.32
+11282,7/5/2025,1612,Clothing,West,2,438.54,0.19,Card,10,1.4,710.43
+11283,7/6/2025,1517,Electronics,West,7,345.54,0.06,Wallet,11,4.6,2273.65
+11284,7/7/2025,1691,Clothing,East,4,288.91,0.01,COD,9,2.4,1144.08
+11285,7/8/2025,1281,Beauty,West,3,534.67,0.12,Card,5,3,1411.53
+11286,7/9/2025,1319,Home,West,4,463.52,0.3,Wallet,11,1.7,1297.86
+11287,7/10/2025,1737,Electronics,North,6,489.99,0.02,COD,4,3.2,2881.14
+11288,7/11/2025,1442,Clothing,North,3,490.76,0.15,COD,4,4.8,1251.44
+11289,7/12/2025,1951,Clothing,West,2,390.99,0.27,COD,8,4.6,570.85
+11290,7/13/2025,1314,Clothing,West,4,282.94,0.33,Card,1,1.3,758.28
+11291,7/14/2025,1876,Home,North,5,520.84,0.34,COD,1,2.5,1718.77
+11292,7/15/2025,1965,Home,West,3,556.71,0.15,Card,8,2.1,1419.61
+11293,7/16/2025,1740,Clothing,West,2,28.93,0.33,COD,2,2.9,38.77
+11294,7/17/2025,1376,Clothing,South,1,45.16,0.01,COD,10,4.3,44.71
+11295,7/18/2025,1288,Electronics,West,3,575.86,0.26,Wallet,6,4,1278.41
+11296,7/19/2025,1436,Electronics,East,3,177.14,0.22,COD,2,2.4,414.51
+11297,7/20/2025,1661,Clothing,South,6,525.92,0.09,Card,5,2.5,2871.52
+11298,7/21/2025,1276,Clothing,East,5,242.45,0.18,Wallet,3,3.6,994.04
+11299,7/22/2025,1709,Home,West,6,84.67,0.05,COD,7,1.8,482.62
+11300,7/23/2025,1581,Home,North,7,62.06,0.31,COD,9,1.4,299.75
+11301,7/24/2025,1502,Electronics,South,3,106.56,0.13,Card,2,2,278.12
+11302,7/25/2025,1623,Clothing,North,3,161.19,0.22,Wallet,7,1.5,377.18
+11303,7/26/2025,1515,Electronics,South,7,300.78,0.06,Wallet,8,2.4,1979.13
+11304,7/27/2025,1349,Electronics,North,5,425.38,0.07,COD,10,4.8,1978.02
+11305,7/28/2025,1842,Home,South,5,592.04,0.35,Wallet,8,1.5,1924.13
+11306,7/29/2025,1445,Electronics,South,4,273.28,0.26,Card,7,4.3,808.91
+11307,7/30/2025,1829,Clothing,East,2,318.14,0.34,Wallet,4,3.1,419.94
+11308,7/31/2025,1349,Electronics,North,2,320.26,0.1,COD,4,3.5,576.47
+11309,8/1/2025,1606,Beauty,East,4,330.57,0.06,Card,10,1.7,1242.94
+11310,8/2/2025,1663,Clothing,East,2,317.88,0.18,COD,9,1.6,521.32
+11311,8/3/2025,1822,Electronics,North,3,20.13,0.17,COD,10,1.7,50.12
+11312,8/4/2025,1136,Clothing,South,4,16.01,0.06,Card,9,3.7,60.2
+11313,8/5/2025,1758,Home,East,4,72.13,0.26,Card,5,4,213.5
+11314,8/6/2025,1898,Beauty,North,2,74.41,0.13,Card,7,4.7,129.47
+11315,8/7/2025,1242,Electronics,South,1,427.36,0.07,Card,7,2.6,397.44
+11316,8/8/2025,1542,Beauty,East,2,134.88,0.12,Card,9,2.8,237.39
+11317,8/9/2025,1039,Beauty,East,6,538.41,0.2,Card,7,2.9,2584.37
+11318,8/10/2025,1228,Beauty,East,1,558.23,0.25,Card,8,2.1,418.67
+11319,8/11/2025,1547,Clothing,South,4,585.9,0.17,Wallet,7,2.3,1945.19
+11320,8/12/2025,1919,Clothing,East,1,564.36,0.18,COD,11,4.4,462.78
+11321,8/13/2025,1222,Clothing,South,3,174.05,0.05,Card,4,2.4,496.04
+11322,8/14/2025,1005,Home,West,5,313.22,0.32,Wallet,2,4.5,1064.95
+11323,8/15/2025,1321,Clothing,East,1,117.64,0.33,COD,3,2.2,78.82
+11324,8/16/2025,1467,Home,West,6,486.63,0.24,COD,7,2.4,2219.03
+11325,8/17/2025,1731,Clothing,North,5,534.73,0.01,COD,11,3.2,2646.91
+11326,8/18/2025,1074,Home,East,3,513,0.19,Card,11,1.4,1246.59
+11327,8/19/2025,1003,Home,North,6,268.52,0.22,Card,9,4.7,1256.67
+11328,8/20/2025,1846,Electronics,North,7,458.82,0.35,Card,11,4.3,2087.63
+11329,8/21/2025,1645,Home,North,5,72.08,0.35,COD,2,3.7,234.26
+11330,8/22/2025,1117,Clothing,West,7,38.54,0.3,COD,7,5,188.85
+11331,8/23/2025,1880,Home,South,3,455.64,0.02,COD,4,1.1,1339.58
+11332,8/24/2025,1605,Clothing,West,5,263.83,0.33,Card,7,2.6,883.83
+11333,8/25/2025,1503,Clothing,West,5,597.4,0.21,COD,5,4.4,2359.73
+11334,8/26/2025,1997,Beauty,North,2,71.89,0.28,COD,7,2.7,103.52
+11335,8/27/2025,1946,Electronics,East,6,515.54,0.14,Wallet,6,1,2660.19
+11336,8/28/2025,1573,Home,South,6,295.79,0.11,Card,2,1.6,1579.52
+11337,8/29/2025,1440,Clothing,North,1,498.88,0.16,Wallet,7,2.7,419.06
+11338,8/30/2025,1193,Clothing,South,7,493.02,0.05,Wallet,5,3.7,3278.58
+11339,8/31/2025,1846,Electronics,West,7,550.86,0.12,COD,9,1.7,3393.3
+11340,9/1/2025,1714,Clothing,South,6,189.24,0.3,COD,11,2.8,794.81
+11341,9/2/2025,1391,Electronics,South,6,570.63,0.01,Card,1,1.1,3389.54
+11342,9/3/2025,1025,Electronics,East,5,103.73,0.05,Wallet,1,2.9,492.72
+11343,9/4/2025,1434,Electronics,North,7,62.95,0.04,Card,2,4.6,423.02
+11344,9/5/2025,1172,Electronics,South,4,267.5,0.14,COD,8,3.4,920.2
+11345,9/6/2025,1299,Beauty,South,2,499.57,0.35,Card,11,2.8,649.44
+11346,9/7/2025,1644,Beauty,West,1,291.95,0.06,Card,9,1.6,274.43
+11347,9/8/2025,1325,Clothing,West,2,500.13,0.05,COD,11,1.8,950.25
+11348,9/9/2025,1409,Home,South,1,441.87,0.32,Wallet,11,1.3,300.47
+11349,9/10/2025,1117,Electronics,North,3,137.52,0.31,COD,7,4,284.67
+11350,9/11/2025,1835,Home,South,5,570.1,0.01,Wallet,1,1.3,2822
+11351,9/12/2025,1786,Home,South,6,50.56,0.26,COD,7,2.5,224.49
+11352,9/13/2025,1723,Beauty,East,6,540.49,0.23,Card,8,4,2497.06
+11353,9/14/2025,1224,Clothing,North,4,193.1,0.27,Card,7,3.9,563.85
+11354,9/15/2025,1531,Home,East,7,307.59,0.17,COD,5,3.3,1787.1
+11355,9/16/2025,1112,Electronics,North,7,262.08,0.35,Card,7,3.3,1192.46
+11356,9/17/2025,1139,Beauty,North,2,115.52,0.02,COD,10,1.4,226.42
+11357,9/18/2025,1558,Electronics,North,2,224.52,0.08,Card,11,1.7,413.12
+11358,9/19/2025,1000,Clothing,East,2,127.87,0.14,Card,2,3.1,219.94
+11359,9/20/2025,1089,Home,East,7,134.27,0.16,COD,9,2.4,789.51
+11360,9/21/2025,1653,Home,East,6,124.43,0.32,COD,2,1.1,507.67
+11361,9/22/2025,1319,Electronics,West,7,301.08,0.2,Card,2,4.2,1686.05
+11362,9/23/2025,1549,Beauty,East,2,481.79,0.02,Card,5,3.6,944.31
+11363,9/24/2025,1804,Electronics,West,5,347.85,0.14,Card,8,2.3,1495.76
+11364,9/25/2025,1893,Clothing,West,1,537.53,0.15,Card,6,1.4,456.9
+11365,9/26/2025,1138,Electronics,West,6,387.38,0.34,COD,9,3.4,1534.02
+11366,9/27/2025,1510,Electronics,South,5,418.26,0.21,COD,6,2.4,1652.13
+11367,9/28/2025,1867,Clothing,South,3,405.55,0.22,Card,5,2,948.99
+11368,9/29/2025,1844,Clothing,South,5,277.93,0.25,Card,1,3.9,1042.24
+11369,9/30/2025,1258,Electronics,West,5,418.26,0.27,Card,8,2.3,1526.65
+11370,10/1/2025,1672,Electronics,West,3,55.78,0.22,Card,3,1.5,130.53
+11371,10/2/2025,1901,Clothing,North,5,518.01,0.08,COD,2,2.9,2382.85
+11372,10/3/2025,1689,Home,West,1,470.02,0.31,Card,7,4.3,324.31
+11373,10/4/2025,1009,Beauty,South,6,158.46,0.26,Card,11,4.4,703.56
+11374,10/5/2025,1260,Electronics,West,4,464.3,0.26,COD,2,4.4,1374.33
+11375,10/6/2025,1918,Clothing,West,7,22.4,0.35,Card,1,2.7,101.92
+11376,10/7/2025,1649,Electronics,North,3,142.09,0.28,COD,11,4.2,306.91
+11377,10/8/2025,1171,Electronics,West,6,53.11,0.29,COD,2,4.4,226.25
+11378,10/9/2025,1897,Home,East,2,471.43,0.33,Card,6,2.8,631.72
+11379,10/10/2025,1012,Clothing,North,1,457.19,0.05,COD,2,2.3,434.33
+11380,10/11/2025,1167,Electronics,West,4,490.98,0.17,COD,1,3.8,1630.05
+11381,10/12/2025,1641,Electronics,West,1,17.62,0.2,COD,1,4.6,14.1
+11382,10/13/2025,1595,Electronics,North,1,308.22,0.12,COD,4,4.9,271.23
+11383,10/14/2025,1320,Home,West,2,427.33,0.29,Wallet,8,2.2,606.81
+11384,10/15/2025,1318,Beauty,South,4,105.91,0.27,Wallet,6,4.8,309.26
+11385,10/16/2025,1612,Electronics,East,7,395.13,0.25,COD,4,3,2074.43
+11386,10/17/2025,1328,Electronics,East,1,64.2,0.35,Wallet,6,2.2,41.73
+11387,10/18/2025,1784,Beauty,South,2,121.08,0.09,Card,6,5,220.37
+11388,10/19/2025,1776,Beauty,West,3,293.34,0.26,COD,9,4.5,651.21
+11389,10/20/2025,1970,Clothing,West,2,397.34,0.19,Card,4,3.8,643.69
+11390,10/21/2025,1910,Electronics,East,5,100.33,0.11,Card,6,4.6,446.47
+11391,10/22/2025,1919,Electronics,West,6,123.36,0.06,COD,10,3.7,695.75
+11392,10/23/2025,1549,Clothing,East,2,134.6,0.31,COD,1,2.8,185.75
+11393,10/24/2025,1418,Clothing,East,2,154.64,0.21,Card,7,4.8,244.33
+11394,10/25/2025,1605,Electronics,South,2,147.53,0.29,COD,7,4.9,209.49
+11395,10/26/2025,1094,Clothing,East,7,246.16,0.19,COD,11,2.3,1395.73
+11396,10/27/2025,1816,Electronics,West,1,397.47,0.08,Card,1,2.4,365.67
+11397,10/28/2025,1580,Home,West,7,271.25,0.12,Card,8,2.5,1670.9
+11398,10/29/2025,1317,Electronics,North,4,468.94,0.13,Card,5,4.3,1631.91
+11399,10/30/2025,1955,Electronics,West,2,435.77,0.34,Card,9,4.2,575.22
+11400,10/31/2025,1235,Clothing,North,2,89.02,0,COD,8,4.9,178.04
+11401,11/1/2025,1945,Clothing,East,5,43.57,0.34,Card,3,2.9,143.78
+11402,11/2/2025,1333,Beauty,West,5,528.6,0.34,Card,1,3.9,1744.38
+11403,11/3/2025,1884,Clothing,South,3,61.7,0.35,COD,3,4.4,120.32
+11404,11/4/2025,1375,Electronics,South,3,101.78,0.17,COD,2,1.9,253.43
+11405,11/5/2025,1458,Home,South,5,27.95,0.34,Card,2,3.5,92.23
+11406,11/6/2025,1136,Electronics,East,4,382.58,0.14,Card,11,3.2,1316.08
+11407,11/7/2025,1929,Beauty,East,3,355.69,0.01,Card,4,4,1056.4
+11408,11/8/2025,1587,Clothing,North,6,592.34,0.08,COD,2,3.8,3269.72
+11409,11/9/2025,1994,Clothing,South,6,533.86,0.33,Wallet,8,4.3,2146.12
+11410,11/10/2025,1546,Electronics,North,4,255.34,0,COD,5,2.2,1021.36
+11411,11/11/2025,1512,Clothing,North,5,232.38,0.19,Card,1,1.9,941.14
+11412,11/12/2025,1295,Home,West,3,188.66,0.03,COD,6,4.2,549
+11413,11/13/2025,1319,Home,West,2,104.16,0.1,Card,7,2.4,187.49
+11414,11/14/2025,1917,Electronics,South,5,95.78,0.03,Card,1,2.2,464.53
+11415,11/15/2025,1571,Electronics,East,3,92.39,0.3,Card,3,2.3,194.02
+11416,11/16/2025,1831,Home,West,4,81.76,0.21,COD,9,1.3,258.36
+11417,11/17/2025,1348,Beauty,East,6,155.7,0.32,COD,7,4.1,635.26
+11418,11/18/2025,1839,Electronics,North,4,194.4,0.24,COD,4,3.9,590.98
+11419,11/19/2025,1778,Clothing,North,3,577.52,0.34,COD,6,3.2,1143.49
+11420,11/20/2025,1872,Electronics,North,4,353.41,0.18,Card,6,3.9,1159.18
+11421,11/21/2025,1228,Beauty,North,3,592.74,0.22,Card,3,2.5,1387.01
+11422,11/22/2025,1269,Electronics,South,3,232.89,0.2,COD,2,2.2,558.94
+11423,11/23/2025,1827,Electronics,North,4,282.71,0.17,COD,5,4.4,938.6
+11424,11/24/2025,1797,Home,West,1,204.88,0.3,COD,8,2.7,143.42
+11425,11/25/2025,1290,Electronics,North,2,121.99,0.23,Card,3,1.8,187.86
+11426,11/26/2025,1724,Clothing,East,5,98.75,0.28,COD,5,4,355.5
+11427,11/27/2025,1164,Clothing,West,6,567.87,0.28,Card,3,2.3,2453.2
+11428,11/28/2025,1004,Electronics,East,2,592.28,0.07,COD,7,1.8,1101.64
+11429,11/29/2025,1850,Clothing,East,5,41.27,0.23,COD,6,1.1,158.89
+11430,11/30/2025,1378,Clothing,South,5,102.95,0.07,Wallet,6,4.9,478.72
+11431,12/1/2025,1077,Electronics,South,6,262.76,0.2,Card,1,2.9,1261.25
+11432,12/2/2025,1409,Clothing,East,2,124.01,0.24,COD,2,1.6,188.5
+11433,12/3/2025,1573,Home,East,6,227.87,0.35,COD,6,4,888.69
+11434,12/4/2025,1131,Home,North,3,90.52,0.01,Card,8,4.6,268.84
+11435,12/5/2025,1600,Electronics,West,6,282.06,0.03,Card,5,3.1,1641.59
+11436,12/6/2025,1748,Electronics,North,4,173.94,0.03,COD,2,1.1,674.89
+11437,12/7/2025,1041,Electronics,South,1,220.86,0.14,Card,5,2.5,189.94
+11438,12/8/2025,1088,Clothing,South,1,70.17,0.29,Card,9,2,49.82
+11439,12/9/2025,1401,Clothing,North,1,265.45,0.3,Wallet,6,3.5,185.81
+11440,12/10/2025,1295,Home,West,2,590.21,0.26,COD,5,3.1,873.51
+11441,12/11/2025,1839,Electronics,East,2,207.37,0.31,Card,10,2.4,286.17
+11442,12/12/2025,1294,Electronics,North,3,527.71,0.11,COD,6,3.6,1408.99
+11443,12/13/2025,1615,Clothing,South,7,508.27,0.03,COD,11,3.3,3451.15
+11444,12/14/2025,1525,Home,West,1,571.95,0.02,Wallet,9,4.6,560.51
+11445,12/15/2025,1799,Electronics,South,3,477.21,0.3,COD,7,3.4,1002.14
+11446,12/16/2025,1690,Clothing,West,7,400.86,0.26,Wallet,10,3,2076.45
+11447,12/17/2025,1636,Electronics,West,1,516.1,0.24,Card,3,4.3,392.24
+11448,12/18/2025,1421,Beauty,West,2,59.25,0.12,COD,10,1.8,104.28
+11449,12/19/2025,1864,Beauty,North,7,285.76,0.13,Card,10,2,1740.28
+11450,12/20/2025,1022,Electronics,North,4,593.71,0.34,Card,5,4.1,1567.39
+11451,12/21/2025,1574,Electronics,North,4,465.22,0.02,COD,4,2.8,1823.66
+11452,12/22/2025,1142,Clothing,West,4,577.81,0.27,Card,11,2.6,1687.21
+11453,12/23/2025,1992,Electronics,West,6,471.09,0.11,COD,5,4.5,2515.62
+11454,12/24/2025,1664,Home,South,4,526.81,0.01,Wallet,8,3.4,2086.17
+11455,12/25/2025,1144,Home,East,5,428.32,0.26,Card,11,4.2,1584.78
+11456,12/26/2025,1224,Home,North,1,459.89,0.12,Card,6,4.2,404.7
+11457,12/27/2025,1502,Home,West,4,321.06,0.25,COD,4,1.5,963.18
+11458,12/28/2025,1961,Clothing,South,7,555.68,0.25,Wallet,5,3.6,2917.32
+11459,12/29/2025,1973,Electronics,South,5,497.65,0.19,COD,11,4.8,2015.48
+11460,12/30/2025,1820,Home,South,5,508.67,0.27,COD,7,2.9,1856.65
+11461,12/31/2025,1615,Clothing,North,5,408.71,0.2,Card,8,3.9,1634.84
+11462,1/1/2026,1103,Home,North,3,193.18,0.1,Card,5,3.3,521.59
+11463,1/2/2026,1946,Electronics,East,7,35.84,0.26,COD,2,1.8,185.65
+11464,1/3/2026,1038,Electronics,South,3,562.36,0.21,Card,6,1.8,1332.79
+11465,1/4/2026,1946,Beauty,North,5,357.88,0,Wallet,9,2.7,1789.4
+11466,1/5/2026,1197,Electronics,South,6,189.41,0.32,COD,3,2.9,772.79
+11467,1/6/2026,1645,Beauty,West,4,102.24,0.19,COD,7,3,331.26
+11468,1/7/2026,1578,Beauty,South,1,500.27,0.3,COD,8,4.8,350.19
+11469,1/8/2026,1390,Home,East,7,504.36,0.31,COD,6,1.4,2436.06
+11470,1/9/2026,1178,Home,North,6,491.49,0.16,COD,3,2.5,2477.11
+11471,1/10/2026,1967,Clothing,West,2,392.37,0.18,Wallet,1,3.1,643.49
+11472,1/11/2026,1553,Beauty,North,3,229.12,0.15,Wallet,3,4.9,584.26
+11473,1/12/2026,1447,Electronics,West,4,192.88,0.16,Wallet,11,3,648.08
+11474,1/13/2026,1499,Clothing,South,4,20,0.31,Wallet,6,4.1,55.2
+11475,1/14/2026,1014,Clothing,South,2,502.66,0.28,COD,11,4,723.83
+11476,1/15/2026,1622,Clothing,East,2,66.15,0.04,COD,4,3.3,127.01
+11477,1/16/2026,1668,Clothing,East,7,383.99,0.21,Card,1,1.5,2123.46
+11478,1/17/2026,1288,Electronics,West,4,309.88,0.35,Card,6,1.9,805.69
+11479,1/18/2026,1477,Clothing,East,2,323.11,0.21,Card,1,2,510.51
+11480,1/19/2026,1230,Beauty,East,4,557.13,0.28,Card,8,1.2,1604.53
+11481,1/20/2026,1922,Electronics,East,6,33.49,0.27,Card,3,2.5,146.69
+11482,1/21/2026,1419,Beauty,East,7,467.43,0.12,Card,3,3.4,2879.37
+11483,1/22/2026,1156,Home,South,2,45.45,0.13,Wallet,1,1.6,79.08
+11484,1/23/2026,1549,Home,East,6,37.32,0.25,Wallet,3,1.7,167.94
+11485,1/24/2026,1440,Clothing,South,6,266.44,0.17,Card,7,3.8,1326.87
+11486,1/25/2026,1096,Home,South,2,51.9,0.2,Card,10,1.7,83.04
+11487,1/26/2026,1996,Electronics,North,7,476.65,0.25,Wallet,8,1.5,2502.41
+11488,1/27/2026,1410,Home,South,4,324.79,0.27,Wallet,11,4.9,948.39
+11489,1/28/2026,1950,Electronics,South,5,31.99,0.1,Wallet,8,1.1,143.95
+11490,1/29/2026,1288,Beauty,East,4,38.69,0.05,Wallet,3,2.3,147.02
+11491,1/30/2026,1253,Beauty,South,1,373.41,0.1,Wallet,5,1.1,336.07
+11492,1/31/2026,1195,Electronics,West,2,486.58,0.18,Card,1,4.4,797.99
+11493,2/1/2026,1597,Electronics,East,3,271.11,0.12,Card,9,3.3,715.73
+11494,2/2/2026,1833,Home,East,7,339.43,0.2,COD,8,1.2,1900.81
+11495,2/3/2026,1521,Electronics,East,2,482.9,0.02,Card,10,3.5,946.48
+11496,2/4/2026,1516,Beauty,North,1,372.15,0.18,Wallet,2,1.5,305.16
+11497,2/5/2026,1634,Electronics,East,6,146.48,0.13,COD,10,3,764.63
+11498,2/6/2026,1841,Electronics,South,3,373.64,0.19,COD,1,3.7,907.95
+11499,2/7/2026,1864,Beauty,West,3,382.54,0.15,Card,4,1.6,975.48
+11500,2/8/2026,1117,Home,East,4,444.45,0.1,COD,9,3,1600.02
+11501,2/9/2026,1805,Home,East,5,378.21,0.32,COD,8,2.8,1285.91
+11502,2/10/2026,1908,Electronics,West,4,582.01,0.06,Wallet,3,4.7,2188.36
+11503,2/11/2026,1158,Home,East,7,130.41,0.24,Card,10,5,693.78
+11504,2/12/2026,1814,Clothing,North,3,571.39,0.32,Wallet,6,3.6,1165.64
+11505,2/13/2026,1227,Clothing,South,3,329.93,0.19,Wallet,9,4.4,801.73
+11506,2/14/2026,1876,Home,West,5,408.09,0.31,COD,10,3.6,1407.91
+11507,2/15/2026,1215,Clothing,West,7,73.19,0.04,COD,8,4.5,491.84
+11508,2/16/2026,1947,Clothing,North,2,237.64,0.17,COD,10,2.7,394.48
+11509,2/17/2026,1695,Electronics,South,5,465.09,0.16,Card,5,3.4,1953.38
+11510,2/18/2026,1014,Home,North,6,428.54,0,Card,9,4.4,2571.24
+11511,2/19/2026,1156,Electronics,South,4,38.48,0.16,Wallet,9,4.7,129.29
+11512,2/20/2026,1647,Home,North,2,334.76,0.13,COD,3,1.1,582.48
+11513,2/21/2026,1260,Electronics,East,4,66.64,0.23,Card,8,1.4,205.25
+11514,2/22/2026,1156,Clothing,North,5,597.58,0.33,COD,4,4.7,2001.89
+11515,2/23/2026,1046,Home,West,2,539.92,0.03,Card,10,3.3,1047.44
+11516,2/24/2026,1323,Electronics,West,5,27.33,0.11,Card,7,5,121.62
+11517,2/25/2026,1843,Electronics,West,6,517.31,0.16,COD,10,4.2,2607.24
+11518,2/26/2026,1684,Electronics,North,1,552.87,0.16,Card,8,4.3,464.41
+11519,2/27/2026,1129,Clothing,West,3,221.83,0.27,Card,7,2.5,485.81
+11520,2/28/2026,1410,Home,West,7,435.91,0.16,COD,5,2,2563.15
+11521,3/1/2026,1094,Electronics,East,2,273.63,0.01,COD,11,3.4,541.79
+11522,3/2/2026,1626,Home,East,3,398.31,0.25,Card,1,4.5,896.2
+11523,3/3/2026,1754,Electronics,South,1,214.09,0.31,Card,8,3.9,147.72
+11524,3/4/2026,1931,Clothing,South,2,203.7,0.18,Card,5,2.9,334.07
+11525,3/5/2026,1291,Beauty,South,3,263.29,0.2,Card,3,4,631.9
+11526,3/6/2026,1793,Electronics,North,3,100.16,0.06,Card,2,3.8,282.45
+11527,3/7/2026,1810,Clothing,South,2,501.22,0.08,Card,3,4.7,922.24
+11528,3/8/2026,1282,Electronics,North,3,218.99,0.08,Card,9,2.1,604.41
+11529,3/9/2026,1068,Electronics,North,3,249.09,0.15,Wallet,2,1.5,635.18
+11530,3/10/2026,1659,Electronics,South,2,538.02,0.32,Card,10,2.9,731.71
+11531,3/11/2026,1010,Electronics,South,7,305.52,0.18,Card,1,2.4,1753.68
+11532,3/12/2026,1253,Clothing,North,3,333.39,0.07,Card,2,4.9,930.16
+11533,3/13/2026,1841,Clothing,East,3,574.55,0.09,Card,2,1,1568.52
+11534,3/14/2026,1871,Clothing,West,7,533.73,0.13,COD,11,4.7,3250.42
+11535,3/15/2026,1549,Electronics,West,4,114.14,0.22,Card,5,4.8,356.12
+11536,3/16/2026,1133,Electronics,West,6,291.83,0.15,Card,1,1.2,1488.33
+11537,3/17/2026,1711,Home,East,4,583.21,0.14,Card,10,4.6,2006.24
+11538,3/18/2026,1022,Beauty,North,1,232.83,0.2,COD,8,2.9,186.26
+11539,3/19/2026,1814,Electronics,South,4,232.37,0.08,Card,2,4.1,855.12
+11540,3/20/2026,1345,Beauty,North,4,129.09,0.03,COD,6,1.3,500.87
+11541,3/21/2026,1301,Clothing,North,1,81.88,0.01,Card,5,4.8,81.06
+11542,3/22/2026,1362,Clothing,South,3,448.08,0.09,Card,2,3.4,1223.26
+11543,3/23/2026,1395,Clothing,East,3,465.47,0.03,COD,10,4.6,1354.52
+11544,3/24/2026,1217,Electronics,West,4,581.87,0.12,COD,1,3.7,2048.18
+11545,3/25/2026,1140,Electronics,West,1,467.45,0.27,COD,6,3.1,341.24
+11546,3/26/2026,1615,Clothing,North,3,157.36,0.25,Card,6,1.7,354.06
+11547,3/27/2026,1957,Electronics,East,5,38.47,0.21,COD,3,1.7,151.96
+11548,3/28/2026,1209,Beauty,West,2,591.48,0.3,Card,8,2.9,828.07
+11549,3/29/2026,1984,Clothing,East,2,214.16,0.1,COD,9,4.5,385.49
+11550,3/30/2026,1992,Electronics,South,6,197.5,0.31,COD,3,1.5,817.65
+11551,3/31/2026,1622,Home,North,2,544.98,0.14,Card,9,5,937.37
+11552,4/1/2026,1615,Electronics,North,4,357.28,0.14,COD,8,4.5,1229.04
+11553,4/2/2026,1827,Clothing,East,2,140.7,0.14,COD,5,2.6,242
+11554,4/3/2026,1682,Home,West,2,535.12,0.03,Card,6,2,1038.13
+11555,4/4/2026,1459,Beauty,East,5,596.12,0.34,Wallet,1,4.7,1967.2
+11556,4/5/2026,1355,Home,South,3,65.71,0.05,Wallet,5,1.5,187.27
+11557,4/6/2026,1323,Home,West,5,519.42,0.12,Card,10,2.4,2285.45
+11558,4/7/2026,1132,Home,West,4,243.45,0.11,Wallet,10,1.3,866.68
+11559,4/8/2026,1887,Beauty,East,2,321.58,0.03,Card,7,4.8,623.87
+11560,4/9/2026,1804,Electronics,South,7,550.17,0.05,COD,1,3.5,3658.63
+11561,4/10/2026,1839,Electronics,West,3,584.43,0.02,Wallet,10,2.3,1718.22
+11562,4/11/2026,1126,Electronics,North,6,168.37,0.1,COD,9,2.1,909.2
+11563,4/12/2026,1105,Electronics,South,6,139.52,0.3,Card,7,2.8,585.98
+11564,4/13/2026,1603,Home,West,2,62.1,0.12,Wallet,4,1.4,109.3
+11565,4/14/2026,1798,Clothing,East,2,343.65,0.04,Card,11,4.6,659.81
+11566,4/15/2026,1377,Clothing,West,6,22.96,0.23,Card,4,3,106.08
+11567,4/16/2026,1904,Electronics,North,6,255.96,0.35,Card,11,3.9,998.24
+11568,4/17/2026,1050,Home,South,7,57.93,0.08,Wallet,10,1.9,373.07
+11569,4/18/2026,1028,Electronics,West,4,252.06,0.1,Wallet,7,3,907.42
+11570,4/19/2026,1461,Home,North,2,38.36,0.34,Card,6,1.8,50.64
+11571,4/20/2026,1295,Clothing,West,6,503.6,0.06,Wallet,3,4.3,2840.3
+11572,4/21/2026,1296,Electronics,West,7,137.7,0.18,Card,9,4.1,790.4
+11573,4/22/2026,1725,Electronics,South,1,207.06,0.08,Wallet,6,1.6,190.5
+11574,4/23/2026,1778,Electronics,East,6,523.98,0.33,COD,11,1.3,2106.4
+11575,4/24/2026,1406,Home,East,3,451.57,0.34,Card,2,4.3,894.11
+11576,4/25/2026,1768,Beauty,North,3,143.14,0.29,Card,10,1.4,304.89
+11577,4/26/2026,1813,Clothing,North,1,57.06,0.11,Card,2,3.2,50.78
+11578,4/27/2026,1612,Electronics,North,4,433.67,0.14,Card,1,3.1,1491.82
+11579,4/28/2026,1404,Clothing,South,2,243.56,0.08,COD,11,1.8,448.15
+11580,4/29/2026,1345,Home,East,2,463.16,0.31,Card,5,3.4,639.16
+11581,4/30/2026,1621,Home,North,6,275.5,0.32,Wallet,10,3,1124.04
+11582,5/1/2026,1419,Electronics,North,3,217.41,0.15,COD,6,3,554.4
+11583,5/2/2026,1181,Electronics,West,4,278.96,0.23,COD,3,2.4,859.2
+11584,5/3/2026,1982,Home,West,4,452.91,0.06,Card,4,4.4,1702.94
+11585,5/4/2026,1824,Clothing,North,4,542.8,0.15,Wallet,5,1.3,1845.52
+11586,5/5/2026,1000,Electronics,West,6,44.11,0.22,COD,4,2.8,206.43
+11587,5/6/2026,1830,Electronics,West,2,321.61,0.13,Wallet,9,2,559.6
+11588,5/7/2026,1949,Clothing,West,4,34.21,0.13,Wallet,3,4.4,119.05
+11589,5/8/2026,1566,Beauty,South,6,289.02,0,Card,5,1.9,1734.12
+11590,5/9/2026,1370,Beauty,North,6,532.89,0.28,Card,7,4.1,2302.08
+11591,5/10/2026,1935,Clothing,North,1,226.53,0.31,Wallet,7,3.4,156.31
+11592,5/11/2026,1910,Clothing,West,5,560.48,0.34,Wallet,6,4.5,1849.58
+11593,5/12/2026,1660,Electronics,South,4,383.91,0.25,COD,9,3.4,1151.73
+11594,5/13/2026,1430,Clothing,West,5,561.48,0.19,Card,7,3.2,2273.99
+11595,5/14/2026,1968,Clothing,South,2,457.94,0.09,COD,11,4.2,833.45
+11596,5/15/2026,1308,Clothing,North,6,75.51,0.35,Card,4,3.2,294.49
+11597,5/16/2026,1136,Clothing,West,7,150.22,0.21,Card,11,4.4,830.72
+11598,5/17/2026,1201,Electronics,North,4,245.59,0.24,COD,10,1.2,746.59
+11599,5/18/2026,1435,Electronics,South,7,114.51,0.24,Card,9,3,609.19
+11600,5/19/2026,1312,Electronics,East,3,304.52,0.3,COD,6,4.3,639.49
+11601,5/20/2026,1116,Electronics,South,2,290.75,0,Wallet,1,4.4,581.5
+11602,5/21/2026,1665,Electronics,East,1,574.41,0.08,Wallet,9,4.3,528.46
+11603,5/22/2026,1936,Beauty,North,1,268.73,0.23,Wallet,11,3.4,206.92
+11604,5/23/2026,1802,Clothing,North,5,474.59,0.31,Wallet,7,5,1637.34
+11605,5/24/2026,1574,Clothing,West,6,566.02,0.24,Card,6,1.7,2581.05
+11606,5/25/2026,1243,Beauty,East,5,528.04,0.14,Wallet,6,1.7,2270.57
+11607,5/26/2026,1536,Beauty,South,3,137.07,0.13,Wallet,4,1.1,357.75
+11608,5/27/2026,1601,Clothing,North,3,305.18,0.26,Wallet,4,5,677.5
+11609,5/28/2026,1074,Home,East,1,218.43,0.26,COD,11,2.4,161.64
+11610,5/29/2026,1805,Electronics,South,7,248.92,0.21,Card,3,4,1376.53
+11611,5/30/2026,1385,Electronics,East,4,226.07,0.1,Card,8,1.2,813.85
+11612,5/31/2026,1902,Clothing,South,1,498.42,0.32,Card,8,2.2,338.93
+11613,6/1/2026,1209,Home,South,1,279.5,0.19,Wallet,2,3.5,226.4
+11614,6/2/2026,1474,Home,South,7,321.36,0.28,COD,5,3.1,1619.65
+11615,6/3/2026,1417,Electronics,South,7,589.73,0.08,Wallet,9,1.8,3797.86
+11616,6/4/2026,1346,Electronics,East,3,50.09,0.12,COD,9,2.8,132.24
+11617,6/5/2026,1528,Clothing,East,7,300.46,0.31,COD,7,1.4,1451.22
+11618,6/6/2026,1639,Electronics,West,5,467.83,0.02,Card,4,3.2,2292.37
+11619,6/7/2026,1938,Clothing,East,3,103.43,0.18,Card,4,1.4,254.44
+11620,6/8/2026,1954,Home,East,7,372.75,0.17,Card,10,3.5,2165.68
+11621,6/9/2026,1875,Home,West,6,155.09,0.26,COD,11,1.6,688.6
+11622,6/10/2026,1762,Home,East,3,522.43,0.1,Card,7,3.2,1410.56
+11623,6/11/2026,1178,Beauty,South,3,206.35,0.08,COD,3,1.5,569.53
+11624,6/12/2026,1181,Clothing,North,1,207.5,0.32,Card,3,2.6,141.1
+11625,6/13/2026,1663,Home,North,4,364.94,0.2,Wallet,5,2.4,1167.81
+11626,6/14/2026,1024,Clothing,West,1,122.38,0.04,Card,11,4,117.48
+11627,6/15/2026,1966,Electronics,East,2,181.66,0.07,COD,6,3.6,337.89
+11628,6/16/2026,1179,Electronics,East,3,258.73,0.35,Card,8,4.7,504.52
+11629,6/17/2026,1709,Electronics,West,7,221.88,0.07,COD,1,4.7,1444.44
+11630,6/18/2026,1500,Clothing,North,7,322.05,0.21,Card,7,3.9,1780.94
+11631,6/19/2026,1855,Clothing,South,7,365.79,0.15,COD,8,4.1,2176.45
+11632,6/20/2026,1160,Home,East,3,346.5,0.31,Wallet,5,3.5,717.26
+11633,6/21/2026,1176,Electronics,West,7,397.69,0.26,Card,10,3.8,2060.03
+11634,6/22/2026,1284,Electronics,South,2,195.03,0.21,Card,2,3.5,308.15
+11635,6/23/2026,1062,Beauty,West,3,88.96,0,COD,4,2.2,266.88
+11636,6/24/2026,1661,Electronics,West,7,460.07,0.31,COD,6,2.4,2222.14
+11637,6/25/2026,1665,Clothing,West,3,512.71,0.16,Card,9,3.3,1292.03
+11638,6/26/2026,1155,Clothing,North,6,165.35,0.33,COD,2,3.9,664.71
+11639,6/27/2026,1881,Clothing,North,3,253.15,0.17,Card,4,2.6,630.34
+11640,6/28/2026,1468,Electronics,West,2,306.66,0.24,Card,10,1.6,466.12
+11641,6/29/2026,1048,Electronics,East,1,327,0.02,Card,5,2.8,320.46
+11642,6/30/2026,1966,Electronics,South,3,400.8,0.26,Wallet,8,4.9,889.78
+11643,7/1/2026,1848,Clothing,East,4,39.34,0.12,COD,8,1.9,138.48
+11644,7/2/2026,1083,Clothing,North,2,437.06,0.12,COD,2,3.6,769.23
+11645,7/3/2026,1360,Electronics,South,5,51.25,0.04,Wallet,6,4.9,246
+11646,7/4/2026,1688,Clothing,West,6,288.95,0.05,Card,6,2.5,1647.01
+11647,7/5/2026,1147,Home,East,2,499.19,0.07,COD,5,4.6,928.49
+11648,7/6/2026,1629,Electronics,East,1,278.96,0.11,Wallet,8,4.5,248.27
+11649,7/7/2026,1341,Clothing,West,7,102.22,0.31,Card,10,2.4,493.72
+11650,7/8/2026,1475,Home,East,7,591.24,0.13,Card,2,1.4,3600.65
+11651,7/9/2026,1062,Electronics,North,2,535.23,0.25,Wallet,2,1.7,802.84
+11652,7/10/2026,1700,Electronics,West,5,466.22,0.03,Wallet,7,2.5,2261.17
+11653,7/11/2026,1359,Clothing,East,7,255.73,0.21,Card,9,4.8,1414.19
+11654,7/12/2026,1560,Beauty,West,6,122.55,0.17,Card,3,2.1,610.3
+11655,7/13/2026,1326,Home,South,4,565.73,0.34,Card,7,4.7,1493.53
+11656,7/14/2026,1768,Clothing,West,5,326.43,0.3,Card,3,1.7,1142.5
+11657,7/15/2026,1735,Home,East,2,513.63,0.16,Card,6,4.9,862.9
+11658,7/16/2026,1140,Clothing,North,5,215.13,0.27,COD,3,2.2,785.22
+11659,7/17/2026,1989,Clothing,West,7,211.14,0.07,Wallet,1,3.5,1374.52
+11660,7/18/2026,1214,Clothing,West,7,591.54,0.2,Card,6,1.3,3312.62
+11661,7/19/2026,1434,Electronics,East,2,320.27,0.03,Wallet,11,2.2,621.32
+11662,7/20/2026,1890,Home,North,7,97.31,0.12,Card,3,1.8,599.43
+11663,7/21/2026,1951,Clothing,North,7,143.51,0.08,Card,1,1,924.2
+11664,7/22/2026,1722,Clothing,South,4,296.94,0.25,COD,5,1.6,890.82
+11665,7/23/2026,1317,Beauty,South,4,39.85,0.17,Card,8,3.4,132.3
+11666,7/24/2026,1031,Electronics,East,1,285.58,0.26,Card,8,2.6,211.33
+11667,7/25/2026,1669,Electronics,North,4,260.08,0.18,Wallet,8,3.9,853.06
+11668,7/26/2026,1284,Electronics,North,3,470.91,0.03,Card,3,3.7,1370.35
+11669,7/27/2026,1304,Home,South,5,222.64,0.26,COD,8,4.2,823.77
+11670,7/28/2026,1428,Home,South,5,589.79,0.29,Card,4,4.5,2093.75
+11671,7/29/2026,1476,Electronics,East,2,120.75,0.32,Card,8,4.3,164.22
+11672,7/30/2026,1285,Home,North,4,360.73,0.2,COD,3,2.8,1154.34
+11673,7/31/2026,1143,Clothing,West,1,67.47,0.26,Wallet,3,2.2,49.93
+11674,8/1/2026,1423,Home,South,7,444.31,0.26,Card,1,3,2301.53
+11675,8/2/2026,1018,Clothing,East,1,596.93,0.05,COD,8,3.1,567.08
+11676,8/3/2026,1017,Clothing,North,1,494.2,0.06,Wallet,8,2.3,464.55
+11677,8/4/2026,1768,Beauty,North,6,340.09,0.02,COD,9,3.2,1999.73
+11678,8/5/2026,1589,Electronics,South,7,298.57,0.11,Card,6,1.4,1860.09
+11679,8/6/2026,1370,Electronics,East,3,503.49,0.17,COD,2,1.9,1253.69
+11680,8/7/2026,1174,Clothing,West,4,562.54,0.35,COD,1,4,1462.6
+11681,8/8/2026,1193,Beauty,South,7,593.69,0.15,COD,8,1.7,3532.46
+11682,8/9/2026,1501,Clothing,East,1,246.98,0.25,COD,10,1.6,185.24
+11683,8/10/2026,1987,Electronics,North,7,594.69,0.24,Card,4,2.1,3163.75
+11684,8/11/2026,1112,Electronics,West,3,106.22,0.07,COD,11,2.5,296.35
+11685,8/12/2026,1113,Clothing,East,5,163.33,0.02,COD,11,2.3,800.32
+11686,8/13/2026,1221,Electronics,West,2,67.07,0.19,COD,7,2.5,108.65
+11687,8/14/2026,1677,Home,East,4,173.97,0.25,Wallet,10,1.6,521.91
+11688,8/15/2026,1946,Beauty,East,4,464.24,0.35,Wallet,4,1.7,1207.02
+11689,8/16/2026,1830,Clothing,East,6,513.96,0.13,COD,1,1.9,2682.87
+11690,8/17/2026,1643,Clothing,East,5,470.65,0.31,COD,8,2.6,1623.74
+11691,8/18/2026,1896,Clothing,West,4,384.17,0.13,COD,10,2.3,1336.91
+11692,8/19/2026,1263,Electronics,South,6,315.67,0.24,COD,9,4.2,1439.46
+11693,8/20/2026,1924,Beauty,West,6,429.59,0.21,Wallet,10,3.1,2036.26
+11694,8/21/2026,1054,Clothing,East,6,243.64,0.02,COD,9,3.3,1432.6
+11695,8/22/2026,1870,Clothing,West,4,507.17,0.03,Card,9,3.2,1967.82
+11696,8/23/2026,1642,Home,West,4,411.16,0.01,COD,11,2.6,1628.19
+11697,8/24/2026,1799,Clothing,West,4,423.22,0.13,COD,11,4.9,1472.81
+11698,8/25/2026,1777,Clothing,East,3,328.52,0.26,COD,4,1.1,729.31
+11699,8/26/2026,1457,Electronics,West,6,532.86,0.06,COD,9,1.9,3005.33
+11700,8/27/2026,1978,Home,North,3,162.43,0.21,Card,11,2.1,384.96
+11701,8/28/2026,1877,Beauty,East,2,237.97,0.1,Card,4,4.5,428.35
+11702,8/29/2026,1161,Clothing,West,4,469.92,0.28,Card,2,4.7,1353.37
+11703,8/30/2026,1379,Beauty,North,7,303.26,0.28,Card,10,4.4,1528.43
+11704,8/31/2026,1992,Electronics,West,5,535.19,0.27,Card,3,2.7,1953.44
+11705,9/1/2026,1086,Clothing,South,1,217.64,0.18,Wallet,2,4.7,178.46
+11706,9/2/2026,1054,Clothing,West,2,231.06,0.1,Card,1,1.4,415.91
+11707,9/3/2026,1475,Clothing,West,7,534.91,0.28,Wallet,11,3.6,2695.95
+11708,9/4/2026,1799,Clothing,South,1,286.66,0.07,Card,6,4.7,266.59
+11709,9/5/2026,1177,Electronics,East,1,316.93,0.1,Card,4,4,285.24
+11710,9/6/2026,1390,Electronics,South,4,209.67,0.06,COD,7,2.1,788.36
+11711,9/7/2026,1348,Clothing,East,5,176.85,0.24,Card,7,3.9,672.03
+11712,9/8/2026,1007,Electronics,South,1,398.73,0.24,Wallet,10,2.2,303.03
+11713,9/9/2026,1832,Home,West,6,85.11,0.23,Card,1,1.4,393.21
+11714,9/10/2026,1312,Electronics,West,7,529.37,0.15,Card,9,3.9,3149.75
+11715,9/11/2026,1758,Electronics,East,1,470.83,0.04,Wallet,8,1.7,452
+11716,9/12/2026,1834,Clothing,East,2,126.59,0.32,Card,10,1.4,172.16
+11717,9/13/2026,1983,Clothing,North,5,421,0.18,Card,1,3.2,1726.1
+11718,9/14/2026,1982,Beauty,North,5,367.54,0.14,Card,8,3.5,1580.42
+11719,9/15/2026,1442,Clothing,West,1,122.95,0.21,COD,5,1.2,97.13
+11720,9/16/2026,1766,Electronics,West,5,174.82,0.07,Card,1,1,812.91
+11721,9/17/2026,1327,Home,North,2,254.26,0.05,COD,4,4.5,483.09
+11722,9/18/2026,1053,Clothing,North,7,424.06,0.14,Wallet,7,1.5,2552.84
+11723,9/19/2026,1760,Electronics,East,2,388.65,0.08,Wallet,5,3.3,715.12
+11724,9/20/2026,1238,Clothing,South,2,326.36,0.09,Card,11,4.8,593.98
+11725,9/21/2026,1228,Beauty,East,6,464.52,0.31,Card,3,3,1923.11
+11726,9/22/2026,1578,Clothing,North,4,458.39,0.19,Card,11,1.6,1485.18
+11727,9/23/2026,1050,Electronics,West,1,376.45,0.17,COD,4,2.6,312.45
+11728,9/24/2026,1608,Electronics,North,7,475.39,0.24,Card,2,3.5,2529.07
+11729,9/25/2026,1603,Electronics,West,5,210.54,0.33,Wallet,8,4.1,705.31
+11730,9/26/2026,1263,Clothing,West,2,530.53,0.04,COD,2,3.4,1018.62
+11731,9/27/2026,1417,Clothing,West,1,374.72,0.29,Card,11,1.1,266.05
+11732,9/28/2026,1802,Electronics,West,7,496.08,0.2,COD,6,1.6,2778.05
+11733,9/29/2026,1095,Beauty,South,7,334.57,0.05,Card,7,2.5,2224.89
+11734,9/30/2026,1087,Home,North,1,142.79,0.1,Card,7,3.8,128.51
+11735,10/1/2026,1077,Clothing,East,4,332.31,0.17,Card,1,3.3,1103.27
+11736,10/2/2026,1287,Home,West,6,232.1,0.24,Card,8,1.2,1058.38
+11737,10/3/2026,1119,Electronics,West,5,423.04,0.08,COD,9,4.2,1945.98
+11738,10/4/2026,1813,Clothing,East,6,293.34,0.19,COD,7,3.4,1425.63
+11739,10/5/2026,1490,Clothing,East,7,504.13,0.24,Card,8,4.5,2681.97
+11740,10/6/2026,1911,Home,West,5,411.67,0.16,Wallet,4,2.7,1729.01
+11741,10/7/2026,1451,Home,East,7,415.46,0.3,Card,8,3,2035.75
+11742,10/8/2026,1499,Electronics,East,2,142.04,0.3,Card,3,2.6,198.86
+11743,10/9/2026,1164,Beauty,South,2,590.79,0.16,Card,1,3.9,992.53
+11744,10/10/2026,1181,Electronics,East,1,507.38,0.34,COD,8,4,334.87
+11745,10/11/2026,1468,Beauty,North,5,476.57,0.03,Wallet,11,3.9,2311.36
+11746,10/12/2026,1909,Beauty,North,5,208.18,0,COD,6,2.2,1040.9
+11747,10/13/2026,1734,Electronics,North,7,328.34,0.13,Wallet,9,3.5,1999.59
+11748,10/14/2026,1822,Home,West,6,95.21,0.21,Card,3,2.4,451.3
+11749,10/15/2026,1943,Electronics,North,2,330.01,0.22,Card,8,4.3,514.82
+11750,10/16/2026,1977,Clothing,South,3,100.35,0.17,COD,9,1.2,249.87
+11751,10/17/2026,1006,Clothing,North,1,338.53,0.04,COD,9,1.2,324.99
+11752,10/18/2026,1329,Clothing,West,5,394.5,0.06,Card,7,1.4,1854.15
+11753,10/19/2026,1774,Beauty,South,4,243.26,0.3,Wallet,11,1.8,681.13
+11754,10/20/2026,1672,Home,North,4,306.65,0.3,Card,10,1.2,858.62
+11755,10/21/2026,1150,Clothing,South,3,527.26,0.24,Card,3,1.3,1202.15
+11756,10/22/2026,1084,Home,South,2,78.51,0.23,COD,3,2.2,120.91
+11757,10/23/2026,1146,Beauty,West,2,478.16,0.21,COD,2,1.4,755.49
+11758,10/24/2026,1623,Electronics,West,2,114.89,0.07,Card,1,4.2,213.7
+11759,10/25/2026,1380,Beauty,South,6,36.47,0.15,Card,2,1.2,186
+11760,10/26/2026,1914,Electronics,North,7,123.56,0.24,COD,5,4.6,657.34
+11761,10/27/2026,1547,Home,West,4,462.55,0.19,COD,1,4.5,1498.66
+11762,10/28/2026,1284,Electronics,South,2,252,0.01,COD,10,1.8,498.96
+11763,10/29/2026,1699,Electronics,East,4,525.42,0.33,COD,4,1.3,1408.13
+11764,10/30/2026,1081,Clothing,East,3,321.95,0.3,Card,11,1.4,676.09
+11765,10/31/2026,1513,Clothing,West,1,28.02,0.09,Wallet,10,3.2,25.5
+11766,11/1/2026,1896,Clothing,North,7,434.28,0.22,Wallet,10,3.4,2371.17
+11767,11/2/2026,1814,Electronics,East,6,79.49,0.32,Card,1,2.3,324.32
+11768,11/3/2026,1708,Clothing,East,5,476.79,0.03,Card,10,2.2,2312.43
+11769,11/4/2026,1915,Beauty,East,3,113.34,0.18,Card,8,3.1,278.82
+11770,11/5/2026,1522,Clothing,North,7,217.09,0.16,COD,5,2.2,1276.49
+11771,11/6/2026,1745,Electronics,North,4,460.34,0.14,Wallet,10,4.7,1583.57
+11772,11/7/2026,1385,Clothing,West,3,573.23,0.29,COD,4,2.5,1220.98
+11773,11/8/2026,1706,Electronics,West,5,232.29,0.13,Wallet,3,1.9,1010.46
+11774,11/9/2026,1470,Home,East,7,500.2,0.02,Card,9,1.6,3431.37
+11775,11/10/2026,1118,Home,North,6,126.61,0.02,COD,6,3.5,744.47
+11776,11/11/2026,1395,Clothing,South,1,487.2,0.01,Card,1,2.3,482.33
+11777,11/12/2026,1531,Clothing,East,5,399.63,0.14,Card,8,1.8,1718.41
+11778,11/13/2026,1260,Home,West,7,127.75,0.25,COD,10,2.1,670.69
+11779,11/14/2026,1804,Clothing,North,6,191.96,0.07,Card,2,2.2,1071.14
+11780,11/15/2026,1933,Home,West,4,92.09,0.23,COD,9,3.5,283.64
+11781,11/16/2026,1255,Clothing,West,5,239.04,0.24,COD,11,1.7,908.35
+11782,11/17/2026,1733,Home,North,3,134.13,0.09,Wallet,7,3.9,366.17
+11783,11/18/2026,1904,Clothing,East,2,391.74,0.21,Card,3,2.2,618.95
+11784,11/19/2026,1225,Clothing,North,3,596.79,0.24,COD,4,3,1360.68
+11785,11/20/2026,1052,Beauty,East,4,22.03,0.16,Wallet,3,3.6,74.02
+11786,11/21/2026,1939,Clothing,West,7,331.44,0.12,Wallet,6,3.2,2041.67
+11787,11/22/2026,1866,Clothing,North,1,350.59,0.22,COD,9,3.6,273.46
+11788,11/23/2026,1499,Electronics,South,5,549.81,0.34,COD,10,2.3,1814.37
+11789,11/24/2026,1505,Clothing,East,7,311.01,0.15,Card,9,4.9,1850.51
+11790,11/25/2026,1853,Clothing,South,1,333.07,0.14,COD,1,2.8,286.44
+11791,11/26/2026,1363,Electronics,East,4,290.92,0.16,COD,10,2.3,977.49
+11792,11/27/2026,1279,Electronics,North,5,172.31,0.03,COD,6,2.2,835.7
+11793,11/28/2026,1592,Clothing,South,6,47.78,0.19,COD,1,1.2,232.21
+11794,11/29/2026,1713,Home,North,6,254.06,0.12,Card,11,3.7,1341.44
+11795,11/30/2026,1157,Clothing,East,7,45.77,0.04,Card,4,2.1,307.57
+11796,12/1/2026,1631,Electronics,East,3,337.04,0.16,COD,7,4.8,849.34
+11797,12/2/2026,1058,Home,East,7,194.77,0,Card,4,1.8,1363.39
+11798,12/3/2026,1726,Electronics,East,3,327.16,0.14,Card,9,3.1,844.07
+11799,12/4/2026,1127,Clothing,West,4,93.56,0.04,Card,10,3.9,359.27
+11800,12/5/2026,1735,Electronics,East,6,560.59,0.01,Card,5,4.5,3329.9
+11801,12/6/2026,1720,Electronics,South,5,538.29,0.29,Wallet,9,1.6,1910.93
+11802,12/7/2026,1881,Electronics,East,6,126.15,0.32,COD,1,4.9,514.69
+11803,12/8/2026,1114,Clothing,North,3,215.91,0.07,Card,4,4.6,602.39
+11804,12/9/2026,1208,Electronics,West,7,373.89,0.19,COD,7,4.9,2119.96
+11805,12/10/2026,1525,Clothing,South,4,70.98,0.1,Card,2,4.4,255.53
+11806,12/11/2026,1520,Clothing,West,6,222.42,0.17,COD,9,4.5,1107.65
+11807,12/12/2026,1551,Clothing,West,4,161.9,0.15,Card,3,3.4,550.46
+11808,12/13/2026,1961,Clothing,West,6,550.58,0.09,Wallet,4,4.4,3006.17
+11809,12/14/2026,1236,Home,North,7,513.72,0.25,Card,4,3.1,2697.03
+11810,12/15/2026,1280,Electronics,West,1,354.2,0.04,COD,8,3.2,340.03
+11811,12/16/2026,1358,Clothing,West,7,319.4,0.02,Wallet,2,3.3,2191.08
+11812,12/17/2026,1200,Electronics,East,6,559.47,0.27,Wallet,5,5,2450.48
+11813,12/18/2026,1757,Electronics,North,3,560.47,0.23,Card,2,1.4,1294.69
+11814,12/19/2026,1277,Clothing,South,7,582.06,0.17,COD,6,4.2,3381.77
+11815,12/20/2026,1234,Clothing,South,5,88.35,0.16,Card,9,2.1,371.07
+11816,12/21/2026,1493,Beauty,South,3,108.93,0.17,COD,9,2.4,271.24
+11817,12/22/2026,1003,Clothing,North,3,410.89,0.15,Card,1,1.3,1047.77
+11818,12/23/2026,1665,Beauty,South,3,331.74,0.14,Wallet,4,2.4,855.89
+11819,12/24/2026,1441,Electronics,North,4,25.8,0.17,Card,4,5,85.66
+11820,12/25/2026,1028,Electronics,East,2,51.26,0.18,COD,1,2.6,84.07
+11821,12/26/2026,1108,Electronics,East,2,534.53,0.24,COD,10,3.7,812.49
+11822,12/27/2026,1609,Electronics,North,1,523.29,0.25,Wallet,2,1.5,392.47
+11823,12/28/2026,1726,Clothing,South,3,224,0.13,COD,6,4.7,584.64
+11824,12/29/2026,1804,Clothing,North,2,536.26,0.14,Card,10,4.3,922.37
+11825,12/30/2026,1074,Electronics,North,1,362.3,0.13,Card,3,2.5,315.2
+11826,12/31/2026,1837,Beauty,West,4,486.45,0.19,Card,9,2.4,1576.1
+11827,1/1/2027,1145,Home,North,3,265.05,0.16,COD,3,2.7,667.93
+11828,1/2/2027,1127,Electronics,West,5,81.34,0.31,COD,3,2.6,280.62
+11829,1/3/2027,1852,Electronics,East,4,268.73,0.24,COD,9,2,816.94
+11830,1/4/2027,1041,Electronics,West,1,282.52,0.31,Card,3,5,194.94
+11831,1/5/2027,1355,Electronics,North,4,337.3,0.25,COD,6,4.2,1011.9
+11832,1/6/2027,1040,Electronics,East,5,76.77,0.34,COD,6,2.1,253.34
+11833,1/7/2027,1933,Clothing,West,4,594.97,0.22,Wallet,1,4.9,1856.31
+11834,1/8/2027,1033,Electronics,North,1,157.82,0.34,COD,7,1.1,104.16
+11835,1/9/2027,1016,Clothing,East,5,131.15,0.06,Card,9,2.8,616.4
+11836,1/10/2027,1676,Beauty,West,5,323.18,0.02,Card,9,3.3,1583.58
+11837,1/11/2027,1152,Home,North,4,329.27,0.2,Card,9,1.2,1053.66
+11838,1/12/2027,1997,Beauty,North,5,272.3,0.34,COD,2,1.6,898.59
+11839,1/13/2027,1377,Electronics,South,7,466.56,0.15,COD,1,2,2776.03
+11840,1/14/2027,1587,Clothing,South,4,317.24,0.07,Card,6,3.9,1180.13
+11841,1/15/2027,1598,Clothing,West,3,371.67,0.18,Card,6,4.8,914.31
+11842,1/16/2027,1628,Electronics,West,5,438.39,0.23,Card,4,3.5,1687.8
+11843,1/17/2027,1873,Electronics,West,4,29.64,0.11,Wallet,8,3.3,105.52
+11844,1/18/2027,1341,Home,North,3,348.83,0.25,Card,5,3.1,784.87
+11845,1/19/2027,1980,Clothing,West,5,532.25,0.34,Card,7,2.4,1756.42
+11846,1/20/2027,1026,Clothing,North,3,25.17,0.31,Card,9,4.3,52.1
+11847,1/21/2027,1824,Clothing,West,6,252.03,0.1,Card,1,3.2,1360.96
+11848,1/22/2027,1286,Clothing,North,5,556.84,0.11,COD,9,1.9,2477.94
+11849,1/23/2027,1645,Electronics,North,6,221.6,0.13,Wallet,4,1.5,1156.75
+11850,1/24/2027,1730,Electronics,South,1,283.36,0.14,Card,7,4.9,243.69
+11851,1/25/2027,1167,Electronics,East,1,589.2,0.04,COD,11,1.1,565.63
+11852,1/26/2027,1609,Electronics,North,4,131.6,0.27,Card,4,4.7,384.27
+11853,1/27/2027,1267,Beauty,West,2,53.17,0.13,Wallet,4,1.9,92.52
+11854,1/28/2027,1748,Clothing,South,6,517.76,0.31,Card,4,3.6,2143.53
+11855,1/29/2027,1820,Home,West,6,523.05,0.32,Card,6,2.2,2134.04
+11856,1/30/2027,1454,Electronics,West,1,291.17,0.01,COD,5,4.4,288.26
+11857,1/31/2027,1905,Clothing,North,6,315.81,0.35,Card,2,3.2,1231.66
+11858,2/1/2027,1684,Electronics,North,2,503.95,0.25,Card,9,1.6,755.92
+11859,2/2/2027,1400,Electronics,East,3,447.06,0.18,COD,11,2.1,1099.77
+11860,2/3/2027,1921,Electronics,North,3,170.11,0.14,COD,6,2.3,438.88
+11861,2/4/2027,1980,Home,North,2,24.88,0.18,COD,10,4.5,40.8
+11862,2/5/2027,1475,Home,East,6,295.62,0.11,COD,6,4.1,1578.61
+11863,2/6/2027,1701,Clothing,West,6,517.46,0.22,COD,9,4.3,2421.71
+11864,2/7/2027,1633,Clothing,East,6,539.06,0.03,COD,1,1.2,3137.33
+11865,2/8/2027,1557,Beauty,East,7,574.39,0.22,COD,7,3.3,3136.17
+11866,2/9/2027,1575,Electronics,East,4,529.54,0.1,COD,3,5,1906.34
+11867,2/10/2027,1129,Electronics,South,5,354.33,0.01,Card,4,4.1,1753.93
+11868,2/11/2027,1821,Electronics,West,2,275.09,0.19,Card,1,1.5,445.65
+11869,2/12/2027,1362,Home,South,2,468.29,0.2,Card,3,3.7,749.26
+11870,2/13/2027,1704,Beauty,South,7,447.8,0.15,Card,7,4,2664.41
+11871,2/14/2027,1818,Electronics,North,2,329.81,0.03,COD,6,3.1,639.83
+11872,2/15/2027,1692,Beauty,East,2,66.09,0.31,Card,1,1.3,91.2
+11873,2/16/2027,1291,Home,East,7,556.76,0.21,Card,9,1.1,3078.88
+11874,2/17/2027,1370,Electronics,South,2,281.53,0.04,Card,4,4.8,540.54
+11875,2/18/2027,1793,Clothing,North,6,227.55,0.18,Card,7,2,1119.55
+11876,2/19/2027,1028,Clothing,North,7,383.3,0.17,COD,4,2.5,2226.97
+11877,2/20/2027,1148,Beauty,North,4,409.2,0.02,COD,7,4.2,1604.06
+11878,2/21/2027,1778,Electronics,West,1,138.25,0.21,COD,5,3.8,109.22
+11879,2/22/2027,1295,Home,South,6,504.61,0.28,Card,1,4.9,2179.92
+11880,2/23/2027,1010,Electronics,West,6,184.61,0.26,Wallet,4,1.4,819.67
+11881,2/24/2027,1511,Home,North,5,124.21,0.07,Wallet,3,3.8,577.58
+11882,2/25/2027,1675,Clothing,North,7,252.74,0.3,COD,6,1.3,1238.43
+11883,2/26/2027,1112,Clothing,North,1,442.38,0.12,Wallet,6,1,389.29
+11884,2/27/2027,1186,Home,East,2,579.79,0.33,COD,1,1.5,776.92
+11885,2/28/2027,1806,Home,South,1,488.43,0.03,Wallet,11,3.5,473.78
+11886,3/1/2027,1743,Beauty,East,4,565.1,0.17,Wallet,2,3.7,1876.13
+11887,3/2/2027,1226,Electronics,West,3,97.25,0.21,Wallet,2,2.8,230.48
+11888,3/3/2027,1309,Home,East,6,56.64,0.09,COD,10,1.2,309.25
+11889,3/4/2027,1097,Electronics,South,7,341.26,0.27,COD,4,3.5,1743.84
+11890,3/5/2027,1054,Clothing,East,7,184.82,0.22,COD,9,1.3,1009.12
+11891,3/6/2027,1622,Clothing,North,1,499.41,0.01,Card,11,1.6,494.42
+11892,3/7/2027,1663,Clothing,West,5,408.11,0.21,Card,2,3.1,1612.03
+11893,3/8/2027,1757,Clothing,West,4,582.88,0.17,Wallet,11,2.4,1935.16
+11894,3/9/2027,1405,Beauty,North,3,164.05,0.07,Card,8,2.9,457.7
+11895,3/10/2027,1068,Electronics,North,4,299.18,0.35,COD,11,3.5,777.87
+11896,3/11/2027,1311,Home,North,7,308.23,0.31,Card,1,1.6,1488.75
+11897,3/12/2027,1288,Clothing,South,2,154.92,0.1,Card,8,4.6,278.86
+11898,3/13/2027,1761,Electronics,East,3,360.2,0.19,Wallet,3,3.2,875.29
+11899,3/14/2027,1547,Electronics,West,7,274.32,0.11,Wallet,5,1.1,1709.01
+11900,3/15/2027,1750,Beauty,East,5,276.33,0.27,COD,1,3.5,1008.6
+11901,3/16/2027,1147,Beauty,North,3,227.2,0.33,Card,1,2.9,456.67
+11902,3/17/2027,1466,Beauty,North,7,24.9,0.13,COD,6,3.8,151.64
+11903,3/18/2027,1738,Beauty,East,5,320.43,0.28,Card,3,4.1,1153.55
+11904,3/19/2027,1243,Electronics,West,2,211.12,0.17,Card,8,4.8,350.46
+11905,3/20/2027,1490,Clothing,South,5,15.77,0.14,Card,4,5,67.81
+11906,3/21/2027,1848,Home,East,4,195.15,0.33,COD,6,3.2,523
+11907,3/22/2027,1957,Clothing,North,1,178,0.18,Card,10,3.2,145.96
+11908,3/23/2027,1506,Clothing,North,4,245.17,0.16,COD,9,1.1,823.77
+11909,3/24/2027,1364,Clothing,South,7,92.13,0.24,Card,8,4.5,490.13
+11910,3/25/2027,1481,Clothing,East,7,312,0.09,Card,4,1.1,1987.44
+11911,3/26/2027,1200,Clothing,South,6,420.08,0.11,Card,10,3.5,2243.23
+11912,3/27/2027,1153,Electronics,South,4,383.66,0.33,Wallet,8,1.4,1028.21
+11913,3/28/2027,1449,Clothing,West,3,485.2,0.24,COD,7,2.1,1106.26
+11914,3/29/2027,1500,Clothing,West,2,279.42,0.29,Card,5,1.6,396.78
+11915,3/30/2027,1072,Clothing,North,6,318.67,0.09,COD,7,1.5,1739.94
+11916,3/31/2027,1712,Electronics,East,6,489.09,0.19,Wallet,7,1.3,2376.98
+11917,4/1/2027,1295,Home,West,6,265.21,0.34,COD,10,2.3,1050.23
+11918,4/2/2027,1016,Electronics,North,7,425.44,0.11,COD,2,2.7,2650.49
+11919,4/3/2027,1640,Clothing,East,1,269.24,0.06,Card,7,2.9,253.09
+11920,4/4/2027,1216,Home,North,5,259.38,0.18,COD,3,2.8,1063.46
+11921,4/5/2027,1060,Clothing,West,3,459.72,0.14,COD,8,3.1,1186.08
+11922,4/6/2027,1938,Electronics,North,7,117.28,0.06,COD,8,4.4,771.7
+11923,4/7/2027,1615,Home,East,2,213.07,0.31,Wallet,9,3.5,294.04
+11924,4/8/2027,1041,Clothing,East,7,146.14,0.35,Card,11,1.1,664.94
+11925,4/9/2027,1024,Home,North,1,225.08,0.2,Card,4,1.7,180.06
+11926,4/10/2027,1038,Home,East,7,149.77,0.27,Wallet,10,2.4,765.32
+11927,4/11/2027,1802,Clothing,North,7,353.95,0.3,COD,3,4.8,1734.36
+11928,4/12/2027,1130,Clothing,East,4,481.93,0.25,Card,9,1.3,1445.79
+11929,4/13/2027,1497,Electronics,North,2,475.17,0.02,Card,9,3.8,931.33
+11930,4/14/2027,1228,Electronics,North,6,228.23,0.06,Wallet,2,1.1,1287.22
+11931,4/15/2027,1107,Clothing,North,2,593.42,0.02,Card,6,2.5,1163.1
+11932,4/16/2027,1171,Clothing,South,2,362.4,0,Card,3,4.1,724.8
+11933,4/17/2027,1434,Clothing,East,4,248.65,0.11,Card,5,2.4,885.19
+11934,4/18/2027,1477,Electronics,West,5,503.79,0.14,Wallet,2,2.7,2166.3
+11935,4/19/2027,1101,Electronics,North,7,441.98,0.08,Wallet,4,4.6,2846.35
+11936,4/20/2027,1865,Clothing,South,3,453.33,0.02,COD,11,1.3,1332.79
+11937,4/21/2027,1523,Electronics,West,6,129.74,0.19,COD,3,3.1,630.54
+11938,4/22/2027,1274,Home,North,5,288.97,0.1,Card,2,2.5,1300.37
+11939,4/23/2027,1612,Electronics,West,1,519.17,0.28,Card,6,4.9,373.8
+11940,4/24/2027,1043,Clothing,South,7,309.86,0,Wallet,11,4.2,2169.02
+11941,4/25/2027,1954,Beauty,West,6,414.82,0.29,Card,3,1.5,1767.13
+11942,4/26/2027,1816,Electronics,North,3,358.94,0.33,COD,4,4.7,721.47
+11943,4/27/2027,1956,Clothing,West,7,507.78,0.25,COD,6,1.8,2665.84
+11944,4/28/2027,1016,Electronics,West,1,181.47,0.26,Card,5,1.3,134.29
+11945,4/29/2027,1329,Clothing,North,4,351.65,0.33,COD,4,3.2,942.42
+11946,4/30/2027,1568,Clothing,South,5,87.09,0.07,COD,4,3.9,404.97
+11947,5/1/2027,1822,Clothing,South,7,418.77,0.35,COD,2,3.9,1905.4
+11948,5/2/2027,1496,Clothing,West,6,443.2,0.27,Card,10,3.1,1941.22
+11949,5/3/2027,1814,Beauty,East,2,40.06,0.25,Card,4,3,60.09
+11950,5/4/2027,1011,Electronics,West,3,410.34,0.13,COD,8,4.9,1070.99
+11951,5/5/2027,1317,Electronics,East,7,257.59,0.19,Wallet,5,4.3,1460.54
+11952,5/6/2027,1591,Beauty,West,6,87.6,0.23,Card,11,3.8,404.71
+11953,5/7/2027,1215,Clothing,South,2,260.65,0.22,Wallet,10,1.8,406.61
+11954,5/8/2027,1338,Beauty,West,6,128.63,0.25,COD,10,4.3,578.84
+11955,5/9/2027,1775,Clothing,West,7,258.1,0.03,Wallet,8,4,1752.5
+11956,5/10/2027,1990,Home,East,1,239.84,0.12,Card,6,5,211.06
+11957,5/11/2027,1660,Clothing,South,2,446.96,0.15,Card,10,1.5,759.83
+11958,5/12/2027,1080,Home,East,2,467.92,0.09,Card,5,3.9,851.61
+11959,5/13/2027,1726,Beauty,West,6,370.11,0.06,Card,4,4.9,2087.42
+11960,5/14/2027,1484,Clothing,North,4,28.27,0.05,Wallet,10,2.9,107.43
+11961,5/15/2027,1373,Electronics,West,7,559.65,0.13,Card,9,3.9,3408.27
+11962,5/16/2027,1975,Electronics,West,4,416.45,0.17,COD,10,4.9,1382.61
+11963,5/17/2027,1709,Electronics,East,5,35,0.02,Card,5,3.2,171.5
+11964,5/18/2027,1199,Electronics,North,1,494.02,0.33,COD,10,3.8,330.99
+11965,5/19/2027,1536,Electronics,North,4,132.16,0.27,Card,11,1.1,385.91
+11966,5/20/2027,1465,Clothing,East,6,353.84,0.26,Card,6,3.1,1571.05
+11967,5/21/2027,1088,Clothing,South,7,287.98,0.06,Card,7,2,1894.91
+11968,5/22/2027,1267,Clothing,North,4,260.61,0.21,COD,11,1.5,823.53
+11969,5/23/2027,1654,Clothing,North,5,535.48,0.19,Card,11,3.8,2168.69
+11970,5/24/2027,1570,Electronics,East,3,270.86,0.34,Card,1,1.2,536.3
+11971,5/25/2027,1921,Electronics,South,5,59.08,0.26,Card,9,4.6,218.6
+11972,5/26/2027,1488,Electronics,South,2,568.78,0.2,Wallet,8,3.1,910.05
+11973,5/27/2027,1876,Clothing,West,7,553.51,0.3,COD,11,3.6,2712.2
+11974,5/28/2027,1537,Electronics,West,2,415.39,0.05,COD,5,2,789.24
+11975,5/29/2027,1046,Electronics,East,4,288.72,0.01,COD,3,1.7,1143.33
+11976,5/30/2027,1287,Clothing,South,4,69.32,0.24,Card,5,2,210.73
+11977,5/31/2027,1777,Home,East,5,477.59,0.03,COD,5,1.9,2316.31
+11978,6/1/2027,1015,Electronics,West,5,59.15,0.04,Card,9,4.5,283.92
+11979,6/2/2027,1710,Clothing,East,6,55.13,0.26,Card,7,4.1,244.78
+11980,6/3/2027,1400,Home,East,1,329.37,0.09,COD,2,4.4,299.73
+11981,6/4/2027,1918,Home,North,6,108.68,0.22,COD,5,3.9,508.62
+11982,6/5/2027,1793,Beauty,North,2,19.52,0.32,Card,9,3.6,26.55
+11983,6/6/2027,1980,Electronics,North,6,262.52,0.11,Card,11,3.1,1401.86
+11984,6/7/2027,1085,Electronics,West,5,95.27,0.08,COD,2,2.1,438.24
+11985,6/8/2027,1249,Beauty,East,7,108.9,0.04,COD,8,3.8,731.81
+11986,6/9/2027,1390,Clothing,North,6,59.99,0.05,Card,3,1.5,341.94
+11987,6/10/2027,1781,Clothing,North,3,134.98,0.02,Card,4,3,396.84
+11988,6/11/2027,1334,Home,North,1,433.56,0.03,Wallet,2,1.8,420.55
+11989,6/12/2027,1628,Home,West,5,488.22,0.15,COD,9,3,2074.94
+11990,6/13/2027,1518,Beauty,West,7,279.73,0.11,Wallet,6,2.2,1742.72
+11991,6/14/2027,1136,Beauty,East,4,311.33,0.25,Card,9,1.2,933.99
+11992,6/15/2027,1882,Home,East,6,34.1,0.3,COD,11,3,143.22
+11993,6/16/2027,1687,Electronics,East,5,55.55,0.27,Card,8,1.7,202.76
+11994,6/17/2027,1839,Beauty,North,4,165.68,0.19,COD,9,1.6,536.8
+11995,6/18/2027,1497,Electronics,South,4,333.18,0.04,Card,5,2.5,1279.41
+11996,6/19/2027,1826,Electronics,West,2,447.64,0.25,Card,6,2.4,671.46
+11997,6/20/2027,1726,Beauty,North,2,368.93,0.13,Card,7,4.5,641.94
+11998,6/21/2027,1476,Electronics,North,7,244.39,0.03,COD,5,3.3,1659.41
+11999,6/22/2027,1593,Electronics,East,5,84.22,0.29,COD,1,4.4,298.98
+12000,6/23/2027,1222,Electronics,East,7,471.75,0.12,COD,9,1.6,2905.98
+12001,6/24/2027,1989,Beauty,North,5,227.81,0.08,Wallet,2,2.4,1047.93
+12002,6/25/2027,1371,Clothing,West,3,445.59,0.31,COD,7,3.2,922.37
+12003,6/26/2027,1934,Home,West,1,315.09,0.32,COD,8,1.6,214.26
+12004,6/27/2027,1994,Electronics,North,1,447.12,0.12,Wallet,8,1.5,393.47
+12005,6/28/2027,1401,Home,South,5,545.76,0.12,COD,1,3.6,2401.34
+12006,6/29/2027,1442,Home,South,2,553.8,0.2,Card,10,3.6,886.08
+12007,6/30/2027,1489,Electronics,West,6,328.04,0.26,Wallet,7,1.9,1456.5
+12008,7/1/2027,1614,Clothing,East,7,314.23,0.02,Card,9,1.9,2155.62
+12009,7/2/2027,1272,Electronics,South,3,170.42,0.21,COD,11,4,403.9
+12010,7/3/2027,1525,Beauty,South,1,562.44,0.33,Card,11,1.5,376.83
+12011,7/4/2027,1158,Clothing,East,5,282.88,0.09,COD,3,4.7,1287.1
+12012,7/5/2027,1151,Beauty,South,2,89.64,0.32,COD,8,4.8,121.91
+12013,7/6/2027,1994,Electronics,North,2,268.13,0.33,Card,8,4.5,359.29
+12014,7/7/2027,1619,Home,South,2,89.33,0.09,COD,9,1.8,162.58
+12015,7/8/2027,1187,Home,East,7,308.98,0.26,COD,8,1.1,1600.52
+12016,7/9/2027,1812,Home,North,6,343.35,0.08,Card,5,4.7,1895.29
+12017,7/10/2027,1097,Beauty,South,4,212.59,0.26,Card,5,2.4,629.27
+12018,7/11/2027,1130,Clothing,West,7,56.92,0.28,Card,3,2.2,286.88
+12019,7/12/2027,1804,Electronics,North,6,566.95,0.09,Wallet,6,2,3095.55
+12020,7/13/2027,1170,Home,North,2,467.41,0.25,COD,10,2,701.12
+12021,7/14/2027,1935,Home,West,5,505.75,0.28,Wallet,3,3.9,1820.7
+12022,7/15/2027,1985,Clothing,West,3,229.62,0.13,Card,2,4.6,599.31
+12023,7/16/2027,1182,Electronics,South,6,460.09,0.06,Card,7,4.1,2594.91
+12024,7/17/2027,1982,Clothing,South,5,298.94,0.03,Card,10,3.7,1449.86
+12025,7/18/2027,1363,Electronics,East,7,132.63,0.2,Card,3,2.2,742.73
+12026,7/19/2027,1038,Clothing,East,7,87.79,0.34,COD,4,3.2,405.59
+12027,7/20/2027,1526,Clothing,North,2,216.85,0.29,Wallet,11,1.9,307.93
+12028,7/21/2027,1887,Home,West,3,95.47,0.15,Card,10,1.4,243.45
+12029,7/22/2027,1496,Electronics,West,1,598.99,0.19,Wallet,8,1.5,485.18
+12030,7/23/2027,1515,Clothing,East,1,43.78,0.1,Card,1,3.4,39.4
+12031,7/24/2027,1348,Electronics,North,7,273.07,0.06,Wallet,9,1.2,1796.8
+12032,7/25/2027,1981,Electronics,North,5,279.47,0.17,Card,6,4.9,1159.8
+12033,7/26/2027,1920,Home,East,3,190.87,0.16,Wallet,2,5,480.99
+12034,7/27/2027,1396,Beauty,East,5,349.24,0.18,Card,3,1.6,1431.88
+12035,7/28/2027,1721,Clothing,East,3,102.74,0.33,Wallet,5,2.7,206.51
+12036,7/29/2027,1160,Home,South,3,473.59,0.21,Card,11,4.1,1122.41
+12037,7/30/2027,1015,Beauty,North,7,209.48,0.21,Card,6,4.8,1158.42
+12038,7/31/2027,1492,Home,North,5,360.94,0.04,COD,9,4.6,1732.51
+12039,8/1/2027,1425,Electronics,North,7,433.65,0.35,Card,2,2,1973.11
+12040,8/2/2027,1107,Beauty,East,3,535.09,0.27,COD,5,1.3,1171.85
+12041,8/3/2027,1893,Clothing,East,6,503.94,0.31,Wallet,7,2.2,2086.31
+12042,8/4/2027,1449,Electronics,East,2,370.86,0.15,COD,11,2.7,630.46
+12043,8/5/2027,1310,Electronics,East,3,242.21,0.18,COD,11,2.4,595.84
+12044,8/6/2027,1738,Clothing,West,6,309.37,0.18,Card,7,4.1,1522.1
+12045,8/7/2027,1169,Electronics,East,3,464.71,0.07,COD,4,2,1296.54
+12046,8/8/2027,1545,Electronics,South,6,528.36,0.24,COD,3,4.4,2409.32
+12047,8/9/2027,1413,Electronics,West,5,75.71,0.32,Wallet,8,1.9,257.41
+12048,8/10/2027,1250,Home,West,1,240.14,0.06,Card,2,2.4,225.73
+12049,8/11/2027,1758,Beauty,East,4,469.03,0.03,COD,5,2.8,1819.84
+12050,8/12/2027,1780,Electronics,North,3,267.52,0.26,Card,10,2.2,593.89
+12051,8/13/2027,1140,Beauty,East,4,209.35,0.1,Card,5,4.1,753.66
+12052,8/14/2027,1273,Beauty,North,3,255.62,0.22,Card,1,2.6,598.15
+12053,8/15/2027,1415,Home,East,5,367.66,0.24,Card,7,4.5,1397.11
+12054,8/16/2027,1607,Electronics,East,5,599.89,0.11,Card,4,4.9,2669.51
+12055,8/17/2027,1738,Home,North,6,303.4,0.29,Card,10,4.4,1292.48
+12056,8/18/2027,1890,Beauty,North,3,136.97,0.19,Wallet,2,3.1,332.84
+12057,8/19/2027,1038,Home,North,5,110.27,0.3,Card,8,3,385.94
+12058,8/20/2027,1813,Electronics,North,5,39.77,0.27,Wallet,4,1.9,145.16
+12059,8/21/2027,1028,Clothing,South,3,341.91,0.3,Card,1,3.4,718.01
+12060,8/22/2027,1957,Clothing,North,6,333.57,0.01,Card,8,4.8,1981.41
+12061,8/23/2027,1476,Clothing,East,6,135.06,0.09,COD,11,1.3,737.43
+12062,8/24/2027,1317,Electronics,East,6,421.77,0.03,COD,7,4,2454.7
+12063,8/25/2027,1244,Electronics,South,6,448.55,0.15,COD,3,4.5,2287.6
+12064,8/26/2027,1747,Home,North,1,166.57,0.31,COD,3,4.9,114.93
+12065,8/27/2027,1696,Beauty,East,3,216.3,0.16,Card,7,2.3,545.08
+12066,8/28/2027,1271,Electronics,South,7,594.43,0.3,COD,2,2.4,2912.71
+12067,8/29/2027,1439,Beauty,East,1,233.94,0.11,COD,5,1.9,208.21
+12068,8/30/2027,1747,Electronics,South,5,460.07,0.12,Card,7,4.2,2024.31
+12069,8/31/2027,1238,Home,South,1,279.84,0.31,Wallet,6,1.6,193.09
+12070,9/1/2027,1376,Home,West,7,479.11,0.15,COD,10,2.1,2850.7
+12071,9/2/2027,1265,Home,West,7,464.88,0.28,Card,7,2.2,2343
+12072,9/3/2027,1925,Beauty,North,7,405.64,0.08,Wallet,2,2.5,2612.32
+12073,9/4/2027,1920,Electronics,West,6,515.05,0.33,Wallet,7,2.7,2070.5
+12074,9/5/2027,1358,Beauty,South,5,564.44,0.2,COD,2,3.2,2257.76
+12075,9/6/2027,1339,Electronics,East,1,354.29,0.27,Card,7,4.8,258.63
+12076,9/7/2027,1388,Home,East,1,153.92,0.03,Wallet,8,2,149.3
+12077,9/8/2027,1576,Home,North,3,248.2,0.17,Card,10,4.1,618.02
+12078,9/9/2027,1989,Home,West,1,458.61,0.32,Card,8,3.7,311.85
+12079,9/10/2027,1688,Electronics,North,5,395.77,0.31,Card,5,1.5,1365.41
+12080,9/11/2027,1002,Beauty,South,6,119.01,0.02,COD,7,4.2,699.78
+12081,9/12/2027,1428,Electronics,West,3,44.98,0.11,Wallet,11,1.4,120.1
+12082,9/13/2027,1141,Electronics,North,1,414.53,0.16,COD,8,4,348.21
+12083,9/14/2027,1375,Home,East,3,161.88,0.06,Wallet,4,3.9,456.5
+12084,9/15/2027,1669,Clothing,East,4,307.31,0.26,Card,2,3.8,909.64
+12085,9/16/2027,1323,Home,North,3,451.85,0.06,Card,7,2.1,1274.22
+12086,9/17/2027,1145,Clothing,North,7,344.16,0.12,COD,1,3.3,2120.03
+12087,9/18/2027,1957,Electronics,North,6,63.73,0.23,Wallet,2,4,294.43
+12088,9/19/2027,1292,Home,South,7,123.56,0.17,COD,10,3.6,717.88
+12089,9/20/2027,1664,Clothing,South,4,143.31,0.26,Card,7,4.2,424.2
+12090,9/21/2027,1431,Electronics,East,7,165.85,0.34,Card,10,3.8,766.23
+12091,9/22/2027,1704,Home,South,4,345.76,0.04,Card,1,2.1,1327.72
+12092,9/23/2027,1948,Clothing,South,3,309.82,0.25,Card,7,1.6,697.1
+12093,9/24/2027,1974,Clothing,West,5,133.85,0.08,Card,5,3.5,615.71
+12094,9/25/2027,1584,Clothing,South,6,54.52,0.15,Wallet,11,4,278.05
+12095,9/26/2027,1398,Home,West,5,115.29,0.01,COD,3,1.6,570.69
+12096,9/27/2027,1816,Home,South,6,590.86,0.05,COD,11,1.7,3367.9
+12097,9/28/2027,1888,Home,East,6,289.1,0.11,Card,2,1,1543.79
+12098,9/29/2027,1343,Electronics,North,7,522.4,0.12,Card,7,3.1,3217.98
+12099,9/30/2027,1963,Home,East,7,511.52,0.31,COD,9,3.2,2470.64
+12100,10/1/2027,1139,Home,South,5,314.24,0.26,Wallet,9,3,1162.69
+12101,10/2/2027,1186,Home,North,2,428.41,0.34,COD,10,2.3,565.5
+12102,10/3/2027,1804,Clothing,North,4,127.76,0.21,Wallet,10,2.7,403.72
+12103,10/4/2027,1060,Beauty,North,7,417.71,0.08,Wallet,8,4.1,2690.05
+12104,10/5/2027,1996,Home,West,7,174.34,0.11,Card,2,1.7,1086.14
+12105,10/6/2027,1938,Electronics,East,7,501.76,0.11,Card,1,1.8,3125.96
+12106,10/7/2027,1379,Clothing,West,3,63.98,0.11,COD,8,3.7,170.83
+12107,10/8/2027,1709,Beauty,North,5,467.29,0.24,Card,2,4.5,1775.7
+12108,10/9/2027,1806,Electronics,East,5,73.46,0.19,Card,4,2.4,297.51
+12109,10/10/2027,1439,Beauty,East,7,530.5,0.13,Card,4,4.7,3230.74
+12110,10/11/2027,1318,Home,South,3,192.96,0.05,Card,2,1.2,549.94
+12111,10/12/2027,1301,Clothing,West,7,397.82,0.01,Wallet,4,1.5,2756.89
+12112,10/13/2027,1343,Electronics,West,4,300.19,0.08,Card,7,2.8,1104.7
+12113,10/14/2027,1010,Electronics,South,3,229.29,0.04,Card,6,3.9,660.36
+12114,10/15/2027,1061,Beauty,West,7,392.58,0.27,COD,10,2.5,2006.08
+12115,10/16/2027,1844,Electronics,North,6,569.3,0.04,COD,6,3.2,3279.17
+12116,10/17/2027,1225,Home,North,2,39.14,0.25,COD,4,1.1,58.71
+12117,10/18/2027,1152,Clothing,West,6,552.53,0.13,Wallet,2,2.8,2884.21
+12118,10/19/2027,1710,Electronics,South,2,371.31,0.03,COD,5,2,720.34
+12119,10/20/2027,1563,Electronics,East,3,487.28,0.28,COD,11,3.1,1052.52
+12120,10/21/2027,1771,Clothing,West,6,239.57,0.2,Card,3,3.1,1149.94
+12121,10/22/2027,1570,Beauty,East,4,291.03,0.08,COD,3,4,1070.99
+12122,10/23/2027,1583,Clothing,South,6,523.28,0.31,COD,4,3.2,2166.38
+12123,10/24/2027,1659,Clothing,East,5,257.69,0.02,Wallet,11,3.5,1262.68
+12124,10/25/2027,1860,Electronics,South,2,327.78,0.07,Wallet,11,3.1,609.67
+12125,10/26/2027,1574,Clothing,South,2,26.81,0.26,COD,5,5,39.68
+12126,10/27/2027,1309,Clothing,North,7,107.78,0.25,COD,11,4.2,565.84
+12127,10/28/2027,1884,Beauty,North,4,390.39,0.1,Card,2,4,1405.4
+12128,10/29/2027,1242,Clothing,South,2,434.43,0.02,Card,6,3.5,851.48
+12129,10/30/2027,1492,Clothing,West,2,355.82,0.3,Card,6,3.1,498.15
+12130,10/31/2027,1365,Electronics,North,7,98.84,0.11,Card,8,2.4,615.77
+12131,11/1/2027,1329,Beauty,South,4,275.56,0.07,Card,2,4.1,1025.08
+12132,11/2/2027,1106,Electronics,East,6,222.73,0.18,Card,8,1.8,1095.83
+12133,11/3/2027,1225,Electronics,East,3,304.96,0.32,COD,8,1.1,622.12
+12134,11/4/2027,1824,Home,West,6,524.14,0.02,COD,4,3.8,3081.94
+12135,11/5/2027,1217,Clothing,East,5,468.88,0.27,COD,7,1.6,1711.41
+12136,11/6/2027,1936,Clothing,East,5,64.13,0.2,COD,7,4.6,256.52
+12137,11/7/2027,1752,Clothing,South,2,535.83,0.15,Card,1,4.1,910.91
+12138,11/8/2027,1505,Home,East,5,290.98,0.26,Wallet,1,3.4,1076.63
+12139,11/9/2027,1258,Electronics,East,3,450.16,0.34,Card,8,2.3,891.32
+12140,11/10/2027,1887,Home,East,2,96.92,0.08,Wallet,11,3.6,178.33
+12141,11/11/2027,1773,Clothing,East,7,407.37,0.05,Card,1,2.9,2709.01
+12142,11/12/2027,1516,Clothing,South,5,153.25,0.32,COD,3,2.2,521.05
+12143,11/13/2027,1772,Clothing,East,7,271.45,0.23,Card,6,4.8,1463.12
+12144,11/14/2027,1053,Electronics,West,1,24.86,0.15,Card,8,1.6,21.13
+12145,11/15/2027,1046,Home,North,1,103.69,0.2,Card,5,4,82.95
+12146,11/16/2027,1726,Clothing,West,1,68.87,0.26,COD,5,4.2,50.96
+12147,11/17/2027,1688,Electronics,North,7,155.25,0.27,Card,4,4.8,793.33
+12148,11/18/2027,1520,Clothing,West,1,73.51,0.32,COD,4,3.2,49.99
+12149,11/19/2027,1098,Beauty,North,6,419.77,0.15,Card,7,3.1,2140.83
+12150,11/20/2027,1019,Clothing,North,1,31.99,0.1,Card,6,4.7,28.79
+12151,11/21/2027,1889,Beauty,North,2,376.38,0.22,Wallet,8,4.2,587.15
+12152,11/22/2027,1752,Electronics,North,4,97.31,0.15,Wallet,11,4.1,330.85
+12153,11/23/2027,1572,Electronics,South,6,567.92,0.21,COD,6,4.2,2691.94
+12154,11/24/2027,1890,Electronics,West,4,560.86,0.15,Card,11,3,1906.92
+12155,11/25/2027,1489,Clothing,North,2,146.92,0.05,Card,10,1.2,279.15
+12156,11/26/2027,1418,Electronics,West,2,374.44,0.16,Wallet,7,1.8,629.06
+12157,11/27/2027,1689,Electronics,East,3,31.38,0.24,Card,10,3.6,71.55
+12158,11/28/2027,1849,Beauty,North,6,560.1,0.28,Wallet,10,2.6,2419.63
+12159,11/29/2027,1061,Home,West,4,320.95,0.17,Card,5,3.4,1065.55
+12160,11/30/2027,1144,Home,South,1,40.29,0.06,Wallet,6,3.2,37.87
+12161,12/1/2027,1215,Electronics,West,2,215.36,0.15,Card,1,2.8,366.11
+12162,12/2/2027,1002,Electronics,North,1,59.96,0.28,Card,3,1.9,43.17
+12163,12/3/2027,1159,Electronics,East,4,244.87,0.14,COD,8,3.9,842.35
+12164,12/4/2027,1738,Home,West,7,406.91,0.24,Wallet,3,4.6,2164.76
+12165,12/5/2027,1997,Beauty,East,6,289.89,0.18,Wallet,1,4.1,1426.26
+12166,12/6/2027,1780,Clothing,South,5,239.48,0.08,COD,3,1.5,1101.61
+12167,12/7/2027,1119,Electronics,West,7,84.71,0.28,COD,4,3.2,426.94
+12168,12/8/2027,1892,Clothing,West,7,158.29,0.03,COD,8,4.3,1074.79
+12169,12/9/2027,1088,Electronics,South,5,73.58,0.18,COD,9,3.4,301.68
+12170,12/10/2027,1328,Clothing,South,2,487.39,0.07,Wallet,4,2.8,906.55
+12171,12/11/2027,1579,Clothing,South,3,94.12,0.02,COD,7,2.1,276.71
+12172,12/12/2027,1909,Home,North,1,363.29,0.18,COD,1,2.3,297.9
+12173,12/13/2027,1356,Electronics,North,2,215.5,0.17,COD,9,2,357.73
+12174,12/14/2027,1609,Electronics,West,3,147.2,0.25,COD,11,1.8,331.2
+12175,12/15/2027,1266,Beauty,West,1,389.09,0.26,Wallet,4,3.4,287.93
+12176,12/16/2027,1616,Electronics,West,4,282.35,0.25,Card,9,3,847.05
+12177,12/17/2027,1951,Electronics,East,7,249.09,0.14,Card,3,3.9,1499.52
+12178,12/18/2027,1322,Electronics,South,7,361.82,0.22,COD,11,2.2,1975.54
+12179,12/19/2027,1634,Electronics,West,5,302.39,0.2,Card,5,2.8,1209.56
+12180,12/20/2027,1987,Clothing,South,3,192.54,0.15,COD,1,3.7,490.98
+12181,12/21/2027,1540,Home,North,1,342.05,0.21,Wallet,11,4.9,270.22
+12182,12/22/2027,1648,Electronics,South,2,406.66,0.33,COD,3,2.4,544.92
+12183,12/23/2027,1194,Clothing,East,1,30.62,0.07,Wallet,5,2.2,28.48
+12184,12/24/2027,1920,Home,East,2,287.53,0.32,Card,6,2.8,391.04
+12185,12/25/2027,1737,Clothing,South,7,48.74,0.02,Wallet,8,3.9,334.36
+12186,12/26/2027,1331,Beauty,East,5,124.05,0.11,COD,1,4.8,552.02
+12187,12/27/2027,1169,Beauty,East,5,342.9,0.1,Card,3,3.1,1543.05
+12188,12/28/2027,1520,Electronics,North,1,521.72,0.22,COD,1,4.2,406.94
+12189,12/29/2027,1462,Home,West,1,531.44,0.05,Wallet,5,2.9,504.87
+12190,12/30/2027,1039,Clothing,East,2,55.92,0.31,Card,8,1.2,77.17
+12191,12/31/2027,1536,Beauty,West,2,260.18,0.29,COD,4,4.6,369.46
+12192,1/1/2028,1260,Clothing,South,3,356.06,0.23,Wallet,11,2.2,822.5
+12193,1/2/2028,1394,Beauty,South,7,101.04,0.16,Card,9,1.6,594.12
+12194,1/3/2028,1954,Home,East,3,462.78,0.33,COD,6,5,930.19
+12195,1/4/2028,1225,Electronics,South,3,450.38,0.29,COD,6,2.4,959.31
+12196,1/5/2028,1983,Clothing,North,1,543.45,0.17,Card,11,1.5,451.06
+12197,1/6/2028,1123,Beauty,East,6,19.96,0.25,COD,5,2.2,89.82
+12198,1/7/2028,1974,Beauty,East,6,141.76,0.2,Card,10,3.1,680.45
+12199,1/8/2028,1037,Electronics,East,6,498.9,0.21,COD,5,1.4,2364.79
+12200,1/9/2028,1327,Home,South,6,407.29,0.12,Card,11,2.4,2150.49
+12201,1/10/2028,1250,Electronics,South,3,538.22,0.16,Card,7,3.7,1356.31
+12202,1/11/2028,1900,Electronics,East,1,48.45,0.03,COD,8,4.7,47
+12203,1/12/2028,1175,Clothing,West,6,364.22,0.13,Card,7,2.6,1901.23
+12204,1/13/2028,1601,Electronics,South,5,347.89,0.24,Card,1,3.3,1321.98
+12205,1/14/2028,1913,Home,South,4,35.87,0.33,Wallet,1,3.5,96.13
+12206,1/15/2028,1453,Electronics,East,5,315.41,0.34,Wallet,10,1.3,1040.85
+12207,1/16/2028,1036,Home,West,1,371.57,0.19,Wallet,6,2.4,300.97
+12208,1/17/2028,1315,Electronics,East,1,126.91,0.21,COD,3,3.7,100.26
+12209,1/18/2028,1687,Electronics,South,4,174.9,0.07,Wallet,9,3.9,650.63
+12210,1/19/2028,1972,Electronics,East,2,389.6,0.24,Wallet,11,2.4,592.19
+12211,1/20/2028,1795,Electronics,East,2,288.96,0.02,Card,7,1,566.36
+12212,1/21/2028,1964,Electronics,East,2,516.94,0.1,Card,2,1,930.49
+12213,1/22/2028,1972,Electronics,West,3,215.29,0.23,Card,3,3.2,497.32
+12214,1/23/2028,1592,Clothing,East,2,171,0.11,COD,8,3.2,304.38
+12215,1/24/2028,1113,Electronics,South,7,591.15,0.02,Wallet,1,3.2,4055.29
+12216,1/25/2028,1039,Clothing,East,3,548.01,0.29,COD,5,3.9,1167.26
+12217,1/26/2028,1300,Clothing,West,3,31.96,0.11,COD,10,4.7,85.33
+12218,1/27/2028,1223,Beauty,North,2,465.88,0.02,Card,1,5,913.12
+12219,1/28/2028,1317,Beauty,West,2,79.55,0.03,Card,9,3.8,154.33
+12220,1/29/2028,1348,Clothing,East,4,31.08,0.09,COD,7,3.1,113.13
+12221,1/30/2028,1114,Electronics,North,6,175.11,0.06,Wallet,5,1.6,987.62
+12222,1/31/2028,1697,Electronics,East,4,172.57,0.27,Card,6,2.5,503.9
+12223,2/1/2028,1322,Beauty,West,3,494.3,0.11,Wallet,11,3.3,1319.78
+12224,2/2/2028,1567,Electronics,North,4,430.74,0.28,Card,3,5,1240.53
+12225,2/3/2028,1039,Electronics,North,3,589.24,0.06,COD,3,1.5,1661.66
+12226,2/4/2028,1865,Electronics,East,1,431.24,0.17,COD,7,4.2,357.93
+12227,2/5/2028,1039,Electronics,East,3,259.68,0.24,Wallet,7,5,592.07
+12228,2/6/2028,1858,Electronics,West,3,423.87,0.23,Card,7,4.2,979.14
+12229,2/7/2028,1972,Home,East,4,599.68,0.21,Card,2,4.1,1894.99
+12230,2/8/2028,1748,Electronics,North,6,430.43,0.32,Card,2,2,1756.15
+12231,2/9/2028,1288,Clothing,South,1,460.58,0.08,Wallet,11,1,423.73
+12232,2/10/2028,1261,Electronics,South,5,563.94,0.17,Card,5,1.9,2340.35
+12233,2/11/2028,1215,Electronics,West,5,81.49,0.31,Card,4,4.2,281.14
+12234,2/12/2028,1146,Beauty,East,6,427.3,0.03,COD,7,1.4,2486.89
+12235,2/13/2028,1335,Electronics,West,5,512.72,0.02,COD,3,2.2,2512.33
+12236,2/14/2028,1167,Home,South,1,573.31,0.08,Wallet,5,3.3,527.45
+12237,2/15/2028,1091,Clothing,South,2,138.42,0.22,Wallet,2,3.3,215.94
+12238,2/16/2028,1352,Electronics,East,1,309.8,0.09,COD,1,3.2,281.92
+12239,2/17/2028,1570,Beauty,North,4,413.12,0.07,Wallet,9,4.9,1536.81
+12240,2/18/2028,1570,Electronics,East,7,159.77,0.16,COD,4,1,939.45
+12241,2/19/2028,1815,Beauty,South,3,366.28,0.21,Card,8,3,868.08
+12242,2/20/2028,1680,Electronics,North,3,165.68,0.09,Wallet,7,3,452.31
+12243,2/21/2028,1780,Beauty,West,4,210.07,0.11,COD,1,2.2,747.85
+12244,2/22/2028,1362,Electronics,South,4,273.29,0.21,Card,10,3.1,863.6
+12245,2/23/2028,1556,Clothing,West,7,324.58,0.33,COD,11,3.7,1522.28
+12246,2/24/2028,1344,Home,North,7,277.88,0.24,Card,7,3.7,1478.32
+12247,2/25/2028,1692,Beauty,West,3,303.52,0.27,Card,2,1.4,664.71
+12248,2/26/2028,1169,Beauty,South,7,189.67,0.13,COD,3,4.2,1155.09
+12249,2/27/2028,1355,Home,East,7,107.99,0.1,Wallet,1,4.7,680.34
+12250,2/28/2028,1190,Beauty,West,7,42.7,0.16,COD,7,1.5,251.08
+12251,2/29/2028,1666,Electronics,South,6,129.65,0.28,Card,3,2.7,560.09
+12252,3/1/2028,1421,Electronics,South,2,355.44,0.16,Wallet,6,3,597.14
+12253,3/2/2028,1699,Electronics,North,7,474.88,0.3,Card,7,1.5,2326.91
+12254,3/3/2028,1006,Clothing,South,2,114.01,0.35,Card,3,3,148.21
+12255,3/4/2028,1132,Clothing,East,2,78.5,0.03,Card,2,1.8,152.29
+12256,3/5/2028,1746,Clothing,East,4,453.33,0.02,Card,9,4.7,1777.05
+12257,3/6/2028,1556,Electronics,West,7,193.52,0.05,Card,9,2.8,1286.91
+12258,3/7/2028,1825,Home,West,3,571.63,0.13,COD,7,5,1491.95
+12259,3/8/2028,1760,Electronics,West,6,432.88,0.05,Wallet,5,1.2,2467.42
+12260,3/9/2028,1030,Electronics,West,3,206.15,0.3,Wallet,4,1.5,432.92
+12261,3/10/2028,1534,Clothing,East,7,184.38,0.01,Wallet,4,2.8,1277.75
+12262,3/11/2028,1425,Home,North,3,321.36,0.11,COD,1,4.5,858.03
+12263,3/12/2028,1393,Home,West,7,61.3,0.06,COD,4,3.2,403.35
+12264,3/13/2028,1671,Clothing,North,6,83.84,0.33,Wallet,7,3.9,337.04
+12265,3/14/2028,1362,Electronics,South,1,117.88,0.23,COD,5,2.7,90.77
+12266,3/15/2028,1436,Clothing,South,6,468.21,0.32,COD,9,1.2,1910.3
+12267,3/16/2028,1669,Electronics,West,1,315.61,0.34,COD,4,3.6,208.3
+12268,3/17/2028,1550,Clothing,South,5,21.18,0.17,Card,11,3.5,87.9
+12269,3/18/2028,1926,Clothing,North,1,409.01,0.08,COD,3,1.3,376.29
+12270,3/19/2028,1081,Electronics,North,2,262.86,0.07,COD,6,1.7,488.92
+12271,3/20/2028,1355,Electronics,South,2,313.85,0.08,COD,4,2.9,577.48
+12272,3/21/2028,1257,Beauty,West,6,140.26,0.25,Card,11,2.8,631.17
+12273,3/22/2028,1717,Beauty,North,2,337.79,0.01,COD,2,4,668.82
+12274,3/23/2028,1588,Clothing,North,2,587.8,0.02,Wallet,5,2.5,1152.09
+12275,3/24/2028,1988,Electronics,East,5,57.97,0.21,Wallet,4,3.7,228.98
+12276,3/25/2028,1523,Electronics,West,2,181.09,0.22,Card,5,3.8,282.5
+12277,3/26/2028,1294,Clothing,East,4,157.15,0.23,Card,9,3.6,484.02
+12278,3/27/2028,1961,Beauty,South,4,160.4,0.13,COD,4,3.4,558.19
+12279,3/28/2028,1223,Electronics,South,4,236.54,0.28,Card,6,4.2,681.24
+12280,3/29/2028,1524,Home,East,1,493.59,0.19,Card,4,3.6,399.81
+12281,3/30/2028,1045,Electronics,West,6,549.02,0.04,Card,1,4.3,3162.36
+12282,3/31/2028,1666,Beauty,North,6,133.3,0.28,Wallet,2,3.5,575.86
+12283,4/1/2028,1112,Clothing,South,3,332.63,0.33,COD,6,1.6,668.59
+12284,4/2/2028,1232,Home,West,5,387.59,0.02,COD,8,2.2,1899.19
+12285,4/3/2028,1016,Electronics,West,4,320.27,0.14,COD,9,2.3,1101.73
+12286,4/4/2028,1359,Clothing,South,4,268.93,0.17,COD,4,1.4,892.85
+12287,4/5/2028,1222,Electronics,South,2,127.31,0.05,Card,6,3.8,241.89
+12288,4/6/2028,1865,Electronics,West,4,300.61,0.3,COD,3,3.4,841.71
+12289,4/7/2028,1699,Beauty,North,2,249.71,0.1,Card,9,3.4,449.48
+12290,4/8/2028,1447,Beauty,East,2,480.4,0.27,COD,8,2.9,701.38
+12291,4/9/2028,1855,Beauty,South,3,461.71,0.23,Card,1,3.2,1066.55
+12292,4/10/2028,1364,Clothing,East,1,93.39,0.21,COD,2,1,73.78
+12293,4/11/2028,1674,Home,West,2,66.78,0.07,COD,10,1.4,124.21
+12294,4/12/2028,1325,Electronics,East,2,546.27,0.08,Card,9,3.7,1005.14
+12295,4/13/2028,1466,Electronics,North,6,328.27,0.02,Card,10,2,1930.23
+12296,4/14/2028,1413,Electronics,West,3,516.81,0.08,Card,3,1.4,1426.4
+12297,4/15/2028,1454,Clothing,North,2,49.02,0.12,COD,3,2.3,86.28
+12298,4/16/2028,1585,Clothing,West,5,323.01,0.29,Card,10,2,1146.69
+12299,4/17/2028,1232,Electronics,North,1,330.56,0.13,Card,9,1.1,287.59
+12300,4/18/2028,1223,Clothing,West,5,518.51,0.26,COD,3,2.6,1918.49
+12301,4/19/2028,1993,Home,North,4,72.1,0.15,COD,10,1.1,245.14
+12302,4/20/2028,1830,Clothing,West,1,155.66,0.27,Card,11,1,113.63
+12303,4/21/2028,1411,Electronics,North,4,252.82,0.34,COD,5,4.2,667.44
+12304,4/22/2028,1571,Electronics,West,6,521.52,0.08,Wallet,6,2.3,2878.79
+12305,4/23/2028,1334,Electronics,North,7,564.25,0.3,Wallet,3,3.3,2764.82
+12306,4/24/2028,1221,Electronics,South,7,595.74,0.22,Card,10,2.2,3252.74
+12307,4/25/2028,1036,Clothing,East,7,576.13,0.29,Wallet,8,4.7,2863.37
+12308,4/26/2028,1988,Clothing,West,2,18.48,0.23,COD,2,3.9,28.46
+12309,4/27/2028,1277,Home,North,3,42.91,0.15,Wallet,6,2.5,109.42
+12310,4/28/2028,1195,Clothing,South,5,101.35,0.08,COD,2,1.8,466.21
+12311,4/29/2028,1915,Home,West,4,219.08,0.02,COD,9,1.6,858.79
+12312,4/30/2028,1863,Electronics,West,2,500.5,0.19,COD,6,4,810.81
+12313,5/1/2028,1483,Clothing,West,7,537.2,0.35,COD,9,2.8,2444.26
+12314,5/2/2028,1241,Home,East,5,124.3,0.26,COD,4,1.9,459.91
+12315,5/3/2028,1323,Electronics,North,5,377.5,0.11,Card,3,4.7,1679.88
+12316,5/4/2028,1730,Electronics,North,6,551.66,0.29,Card,2,2.6,2350.07
+12317,5/5/2028,1191,Beauty,West,6,286.28,0.27,Card,8,3.2,1253.91
+12318,5/6/2028,1016,Electronics,West,7,75.57,0.1,Wallet,4,4.4,476.09
+12319,5/7/2028,1523,Home,West,4,282.82,0.01,COD,2,4.3,1119.97
+12320,5/8/2028,1917,Electronics,South,7,234.84,0.04,COD,11,3.6,1578.12
+12321,5/9/2028,1400,Home,West,7,352.93,0.31,COD,9,4.6,1704.65
+12322,5/10/2028,1905,Electronics,East,2,271.62,0.29,Card,8,4.8,385.7
+12323,5/11/2028,1885,Electronics,North,3,25.15,0.1,Card,5,4.7,67.9
+12324,5/12/2028,1704,Clothing,East,7,596.49,0.1,COD,8,2.4,3757.89
+12325,5/13/2028,1021,Electronics,West,4,332.97,0.28,Wallet,5,2.6,958.95
+12326,5/14/2028,1473,Clothing,South,5,292.07,0.33,Card,7,2,978.43
+12327,5/15/2028,1119,Electronics,West,5,573.45,0.27,Card,5,4.3,2093.09
+12328,5/16/2028,1209,Electronics,West,1,106.18,0.21,Card,5,1.5,83.88
+12329,5/17/2028,1305,Electronics,West,7,125.7,0.08,Card,4,2.4,809.51
+12330,5/18/2028,1269,Electronics,West,2,487.69,0.18,Card,5,1,799.81
+12331,5/19/2028,1703,Beauty,West,1,167.59,0.08,COD,7,3.4,154.18
+12332,5/20/2028,1686,Electronics,North,6,482.55,0.28,Card,3,3.6,2084.62
+12333,5/21/2028,1284,Clothing,East,3,173.85,0.14,Card,4,2,448.53
+12334,5/22/2028,1715,Electronics,South,4,34.41,0.29,COD,8,3.9,97.72
+12335,5/23/2028,1675,Electronics,West,7,317.45,0.13,Wallet,6,2.5,1933.27
+12336,5/24/2028,1762,Beauty,South,5,130.06,0.29,Card,8,2.2,461.71
+12337,5/25/2028,1226,Electronics,North,2,458.34,0.12,COD,11,4.8,806.68
+12338,5/26/2028,1947,Beauty,East,5,390.1,0.15,Card,2,3.4,1657.92
+12339,5/27/2028,1380,Electronics,West,7,555.31,0.22,Wallet,9,2,3031.99
+12340,5/28/2028,1459,Home,North,6,473.05,0.02,COD,7,4.9,2781.53
+12341,5/29/2028,1006,Clothing,North,1,120.75,0.33,Wallet,5,2.6,80.9
+12342,5/30/2028,1028,Beauty,East,7,483.09,0.2,Card,11,3.6,2705.3
+12343,5/31/2028,1906,Clothing,West,1,390.42,0.18,COD,7,3.9,320.14
+12344,6/1/2028,1032,Clothing,East,4,406.34,0.29,COD,2,2.7,1154.01
+12345,6/2/2028,1645,Electronics,East,2,501.87,0.3,Card,11,3.1,702.62
+12346,6/3/2028,1878,Electronics,South,6,350.69,0.18,Card,4,2,1725.39
+12347,6/4/2028,1078,Beauty,South,2,287.61,0.32,COD,7,2.9,391.15
+12348,6/5/2028,1927,Electronics,East,4,387.44,0.02,COD,2,2.2,1518.76
+12349,6/6/2028,1946,Clothing,South,6,189.31,0.04,Card,8,3.2,1090.43
+12350,6/7/2028,1458,Home,North,6,121.82,0.21,COD,10,3.7,577.43
+12351,6/8/2028,1569,Electronics,East,1,375.7,0.12,Card,10,3.5,330.62
+12352,6/9/2028,1982,Beauty,West,1,151.8,0.16,Card,11,4.1,127.51
+12353,6/10/2028,1537,Home,West,1,61.75,0.11,COD,5,1.2,54.96
+12354,6/11/2028,1481,Clothing,North,5,15.32,0.14,Card,5,1.3,65.88
+12355,6/12/2028,1429,Beauty,West,3,370.87,0.29,Card,8,1.8,789.95
+12356,6/13/2028,1737,Electronics,West,7,226.86,0.21,Card,1,4.9,1254.54
+12357,6/14/2028,1284,Electronics,East,1,455.1,0.35,COD,6,4.2,295.82
+12358,6/15/2028,1515,Clothing,North,3,234.48,0.28,COD,2,4.7,506.48
+12359,6/16/2028,1976,Electronics,East,3,299.31,0.1,Wallet,1,2.1,808.14
+12360,6/17/2028,1098,Home,North,2,253.14,0.09,Card,7,3.3,460.71
+12361,6/18/2028,1396,Beauty,East,4,395.59,0.12,COD,4,3.2,1392.48
+12362,6/19/2028,1488,Clothing,East,5,223.34,0.3,Card,1,3.3,781.69
+12363,6/20/2028,1038,Electronics,South,3,578.8,0.01,COD,10,3.9,1719.04
+12364,6/21/2028,1270,Beauty,West,7,562.65,0.08,COD,11,2.6,3623.47
+12365,6/22/2028,1886,Clothing,North,5,511.1,0.32,Card,11,3.7,1737.74
+12366,6/23/2028,1796,Clothing,West,2,553.38,0.22,COD,6,4.2,863.27
+12367,6/24/2028,1156,Clothing,South,1,277.75,0.08,Card,10,2.2,255.53
+12368,6/25/2028,1074,Beauty,North,6,328.81,0.08,Card,6,4.8,1815.03
+12369,6/26/2028,1883,Clothing,South,3,449.12,0.3,Card,3,3.1,943.15
+12370,6/27/2028,1799,Home,West,4,422.25,0.31,COD,6,3.9,1165.41
+12371,6/28/2028,1129,Home,East,6,536.05,0.09,COD,10,3.9,2926.83
+12372,6/29/2028,1686,Electronics,South,2,434.05,0.15,Card,9,3.3,737.88
+12373,6/30/2028,1973,Clothing,South,5,598.76,0.29,Card,6,2.3,2125.6
+12374,7/1/2028,1083,Home,East,7,218.88,0.27,Card,1,3.7,1118.48
+12375,7/2/2028,1021,Clothing,West,1,502.3,0.28,Card,10,1.3,361.66
+12376,7/3/2028,1458,Home,South,5,423.12,0.18,COD,6,4.9,1734.79
+12377,7/4/2028,1538,Beauty,West,4,419.46,0.32,COD,8,1.7,1140.93
+12378,7/5/2028,1706,Clothing,East,3,205.61,0.11,Card,7,2.1,548.98
+12379,7/6/2028,1848,Home,North,4,474.58,0.05,Card,8,4.8,1803.4
+12380,7/7/2028,1381,Home,South,5,541.72,0.25,Wallet,11,1.7,2031.45
+12381,7/8/2028,1747,Home,West,5,142.85,0.19,Card,8,1.7,578.54
+12382,7/9/2028,1439,Clothing,East,6,380.92,0.3,Card,9,4.2,1599.86
+12383,7/10/2028,1603,Electronics,East,4,244.4,0.03,COD,3,2,948.27
+12384,7/11/2028,1988,Clothing,South,4,593.89,0.3,COD,7,1.4,1662.89
+12385,7/12/2028,1020,Home,North,4,295.12,0.1,COD,6,1.9,1062.43
+12386,7/13/2028,1302,Clothing,South,1,148.57,0.23,Wallet,2,4.6,114.4
+12387,7/14/2028,1975,Home,West,7,238.39,0.01,Card,5,2.1,1652.04
+12388,7/15/2028,1868,Clothing,East,5,397.5,0.21,COD,3,3.8,1570.12
+12389,7/16/2028,1954,Clothing,North,2,59.51,0.25,Card,11,2.6,89.26
+12390,7/17/2028,1083,Electronics,West,1,368.11,0.13,COD,5,2,320.26
+12391,7/18/2028,1773,Home,South,1,559.77,0.08,Wallet,11,1.6,514.99
+12392,7/19/2028,1658,Clothing,East,1,512.46,0.19,COD,9,4.9,415.09
+12393,7/20/2028,1952,Electronics,South,6,54.59,0.29,COD,8,3.1,232.55
+12394,7/21/2028,1452,Electronics,North,7,596.13,0.11,Wallet,9,1.5,3713.89
+12395,7/22/2028,1386,Home,North,7,423.76,0.09,Card,9,1.8,2699.35
+12396,7/23/2028,1506,Clothing,North,2,109.93,0.1,COD,11,2.6,197.87
+12397,7/24/2028,1256,Electronics,North,4,22.26,0.33,Wallet,8,3.2,59.66
+12398,7/25/2028,1569,Beauty,North,6,115.2,0.13,COD,8,1.7,601.34
+12399,7/26/2028,1891,Home,South,5,505.33,0,Card,11,2.1,2526.65
+12400,7/27/2028,1933,Beauty,North,3,27.66,0.27,Card,11,4.1,60.58
+12401,7/28/2028,1526,Clothing,North,6,151.39,0.24,Card,6,2.7,690.34
+12402,7/29/2028,1161,Clothing,East,3,458.02,0.04,Card,6,1,1319.1
+12403,7/30/2028,1956,Beauty,North,5,357.87,0.34,COD,6,1.2,1180.97
+12404,7/31/2028,1162,Clothing,East,2,472.9,0.21,Card,10,2.8,747.18
+12405,8/1/2028,1831,Home,East,7,451.5,0.18,Card,6,1.2,2591.61
+12406,8/2/2028,1792,Electronics,East,3,44.6,0.13,Card,11,1.7,116.41
+12407,8/3/2028,1791,Clothing,South,1,537.12,0.31,COD,9,3.9,370.61
+12408,8/4/2028,1523,Electronics,South,6,147.81,0.09,COD,10,2.9,807.04
+12409,8/5/2028,1785,Electronics,West,3,338.73,0.1,COD,1,2.9,914.57
+12410,8/6/2028,1270,Electronics,West,5,391.91,0.04,Card,10,3.4,1881.17
+12411,8/7/2028,1491,Electronics,East,7,113.65,0.27,Card,6,4.2,580.75
+12412,8/8/2028,1207,Beauty,South,1,586.1,0.21,Card,8,1.6,463.02
+12413,8/9/2028,1538,Electronics,North,3,300.57,0.21,Card,1,1.7,712.35
+12414,8/10/2028,1583,Home,West,7,48.72,0.08,Card,11,1.5,313.76
+12415,8/11/2028,1059,Home,South,5,563.3,0.23,COD,11,4.7,2168.7
+12416,8/12/2028,1429,Clothing,North,2,357.97,0.27,Card,6,3.3,522.64
+12417,8/13/2028,1984,Electronics,North,5,424.03,0.13,Wallet,9,1.4,1844.53
+12418,8/14/2028,1656,Home,South,2,322.23,0.28,COD,6,1.9,464.01
+12419,8/15/2028,1604,Clothing,West,7,503.32,0.12,Card,2,3.9,3100.45
+12420,8/16/2028,1308,Home,South,7,34.38,0.27,COD,1,1.1,175.68
+12421,8/17/2028,1519,Home,West,1,172,0.01,COD,4,3.9,170.28
+12422,8/18/2028,1590,Beauty,East,5,289.74,0.19,COD,6,4.6,1173.45
+12423,8/19/2028,1026,Clothing,South,4,59.81,0.34,Wallet,10,1.2,157.9
+12424,8/20/2028,1685,Electronics,South,6,427.96,0.34,Card,10,1.7,1694.72
+12425,8/21/2028,1561,Clothing,West,4,245.29,0.1,Wallet,9,1,883.04
+12426,8/22/2028,1198,Electronics,West,4,174.51,0.15,Card,5,1.4,593.33
+12427,8/23/2028,1386,Beauty,South,4,16.98,0.02,Wallet,7,3.5,66.56
+12428,8/24/2028,1348,Electronics,North,6,436.1,0.31,Card,6,1.2,1805.45
+12429,8/25/2028,1959,Electronics,North,4,502.78,0.2,Card,6,2.7,1608.9
+12430,8/26/2028,1939,Home,North,2,246.1,0.13,COD,9,3,428.21
+12431,8/27/2028,1692,Clothing,East,5,345.07,0.04,Card,5,4.6,1656.34
+12432,8/28/2028,1535,Clothing,East,7,148.2,0.33,Card,2,2.9,695.06
+12433,8/29/2028,1827,Clothing,West,1,378.99,0.19,Card,8,1.6,306.98
+12434,8/30/2028,1377,Beauty,East,4,22.1,0.1,COD,11,2.2,79.56
+12435,8/31/2028,1898,Electronics,North,7,300.86,0.12,Wallet,3,3.7,1853.3
+12436,9/1/2028,1915,Beauty,South,4,391.86,0.09,COD,9,1.4,1426.37
+12437,9/2/2028,1557,Electronics,East,1,552.14,0.21,Wallet,5,1.9,436.19
+12438,9/3/2028,1526,Home,East,1,238.08,0.33,COD,1,5,159.51
+12439,9/4/2028,1152,Home,North,4,462.64,0.3,Card,4,1,1295.39
+12440,9/5/2028,1733,Electronics,East,2,364.65,0.16,Card,9,1.6,612.61
+12441,9/6/2028,1205,Clothing,West,7,557.3,0.29,COD,1,4.4,2769.78
+12442,9/7/2028,1454,Electronics,South,1,248.05,0.15,Card,8,1.4,210.84
+12443,9/8/2028,1272,Home,North,5,201.67,0.09,Card,8,1.1,917.6
+12444,9/9/2028,1893,Clothing,West,7,533.98,0.34,COD,9,1.5,2466.99
+12445,9/10/2028,1235,Clothing,North,5,43.81,0.11,COD,9,3.8,194.95
+12446,9/11/2028,1851,Electronics,West,7,94.79,0.11,Card,6,5,590.54
+12447,9/12/2028,1739,Electronics,South,2,63.21,0.35,Wallet,5,3.4,82.17
+12448,9/13/2028,1520,Electronics,South,6,508.22,0.05,COD,7,1.5,2896.85
+12449,9/14/2028,1677,Electronics,West,3,21.21,0.27,COD,9,1.7,46.45
+12450,9/15/2028,1943,Clothing,West,2,519.07,0.33,Wallet,5,3.2,695.55
+12451,9/16/2028,1955,Beauty,West,4,278.99,0.18,Card,3,3.9,915.09
+12452,9/17/2028,1830,Home,West,3,17.35,0,COD,9,3.7,52.05
+12453,9/18/2028,1725,Clothing,West,4,249.96,0.13,Wallet,10,3.3,869.86
+12454,9/19/2028,1500,Beauty,West,5,124.28,0.04,COD,1,4.9,596.54
+12455,9/20/2028,1116,Home,South,1,380.27,0.15,COD,1,1.8,323.23
+12456,9/21/2028,1385,Beauty,West,7,412.42,0.28,Card,10,1.7,2078.6
+12457,9/22/2028,1343,Clothing,East,4,300.2,0.15,COD,11,4.4,1020.68
+12458,9/23/2028,1583,Electronics,South,5,38.7,0.15,Card,4,2.2,164.48
+12459,9/24/2028,1394,Electronics,North,2,398.84,0.19,Wallet,2,2.3,646.12
+12460,9/25/2028,1063,Home,South,4,507.59,0.2,Wallet,7,3.2,1624.29
+12461,9/26/2028,1716,Electronics,North,5,436.39,0.3,Wallet,2,2.5,1527.36
+12462,9/27/2028,1720,Electronics,North,1,500.53,0.11,COD,7,2.2,445.47
+12463,9/28/2028,1071,Clothing,East,7,132.3,0.29,Card,8,4.7,657.53
+12464,9/29/2028,1788,Clothing,West,4,535,0.2,Card,11,1.5,1712
+12465,9/30/2028,1273,Clothing,West,6,203.48,0.11,Wallet,8,2.6,1086.58
+12466,10/1/2028,1989,Electronics,South,5,22.84,0.1,Card,3,1,102.78
+12467,10/2/2028,1319,Clothing,West,4,508.38,0.13,Card,9,4.2,1769.16
+12468,10/3/2028,1337,Clothing,East,1,565.97,0.22,COD,10,1.7,441.46
+12469,10/4/2028,1365,Beauty,South,7,398.5,0.08,Card,10,4.1,2566.34
+12470,10/5/2028,1494,Home,South,4,150.39,0.32,COD,10,1.6,409.06
+12471,10/6/2028,1606,Beauty,South,4,162.27,0.2,COD,6,2.7,519.26
+12472,10/7/2028,1165,Home,West,7,287.96,0.32,COD,4,3.9,1370.69
+12473,10/8/2028,1543,Clothing,West,6,540.23,0.02,Wallet,8,2.1,3176.55
+12474,10/9/2028,1010,Electronics,West,5,102.51,0.12,Card,4,2.3,451.04
+12475,10/10/2028,1300,Home,South,3,498.19,0.01,Card,4,3.7,1479.62
+12476,10/11/2028,1728,Clothing,South,7,185.41,0.1,Card,11,1.8,1168.08
+12477,10/12/2028,1800,Clothing,North,4,488.02,0.3,Wallet,8,4.8,1366.46
+12478,10/13/2028,1101,Clothing,North,3,553.36,0.01,Card,4,1.8,1643.48
+12479,10/14/2028,1424,Clothing,West,2,265.08,0.15,Card,1,4,450.64
+12480,10/15/2028,1391,Electronics,South,4,228.55,0.04,COD,6,4.2,877.63
+12481,10/16/2028,1778,Clothing,West,3,484.3,0.15,Card,8,2.5,1234.97
+12482,10/17/2028,1213,Electronics,West,2,324.75,0.29,Wallet,3,1.6,461.14
+12483,10/18/2028,1690,Home,North,6,415.4,0.22,Wallet,2,1.7,1944.07
+12484,10/19/2028,1087,Electronics,East,5,379.36,0.26,COD,6,4.9,1403.63
+12485,10/20/2028,1552,Electronics,West,4,104.44,0.12,COD,1,3.9,367.63
+12486,10/21/2028,1400,Clothing,East,5,509.2,0.33,Card,11,2.8,1705.82
+12487,10/22/2028,1587,Home,East,2,129.53,0.25,COD,5,2,194.3
+12488,10/23/2028,1888,Clothing,South,5,560.39,0.15,COD,6,1.1,2381.66
+12489,10/24/2028,1045,Electronics,South,5,161.58,0.15,Card,8,3.7,686.72
+12490,10/25/2028,1671,Clothing,West,7,444.32,0.32,Card,7,4.8,2114.96
+12491,10/26/2028,1462,Electronics,North,1,181.52,0.2,Wallet,6,1.4,145.22
+12492,10/27/2028,1591,Beauty,North,2,200.9,0.25,Card,2,4,301.35
+12493,10/28/2028,1309,Beauty,West,5,196.35,0.15,COD,8,1.6,834.49
+12494,10/29/2028,1085,Clothing,West,3,452.52,0.08,Card,8,4.2,1248.96
+12495,10/30/2028,1091,Electronics,North,2,340.74,0.25,Card,11,2.5,511.11
+12496,10/31/2028,1659,Home,East,1,531.53,0.21,Wallet,5,3.8,419.91
+12497,11/1/2028,1672,Electronics,West,4,194.81,0.18,Card,3,4.7,638.98
+12498,11/2/2028,1713,Clothing,East,6,419.82,0.22,COD,11,3.5,1964.76
+12499,11/3/2028,1935,Electronics,West,5,455.47,0.07,Card,8,4.7,2117.94
+12500,11/4/2028,1927,Beauty,West,3,103.62,0.28,Card,5,1.9,223.82
+12501,11/5/2028,1241,Electronics,East,1,249.34,0.33,Wallet,3,4.9,167.06
+12502,11/6/2028,1864,Clothing,East,2,297.45,0.31,COD,9,4.5,410.48
+12503,11/7/2028,1001,Home,North,6,223.08,0.11,Wallet,9,1.4,1191.25
+12504,11/8/2028,1224,Clothing,West,6,203.44,0.14,Wallet,7,2.7,1049.75
+12505,11/9/2028,1800,Electronics,South,5,416.56,0.28,Wallet,8,4.7,1499.62
+12506,11/10/2028,1744,Beauty,South,1,141.28,0.21,Wallet,5,1.3,111.61
+12507,11/11/2028,1972,Clothing,West,1,429.99,0.19,Card,5,2.8,348.29
+12508,11/12/2028,1925,Clothing,West,3,562,0.32,Wallet,5,3.9,1146.48
+12509,11/13/2028,1928,Electronics,West,4,345.64,0.19,Card,2,1.1,1119.87
+12510,11/14/2028,1588,Clothing,East,4,372.69,0.18,Card,3,4,1222.42
+12511,11/15/2028,1115,Clothing,South,7,55.33,0.01,Card,8,2.4,383.44
+12512,11/16/2028,1665,Electronics,South,4,520.72,0.02,Card,6,2,2041.22
+12513,11/17/2028,1917,Electronics,South,7,181.99,0,COD,9,3.3,1273.93
+12514,11/18/2028,1102,Home,West,6,374.8,0.32,Card,7,3.2,1529.18
+12515,11/19/2028,1193,Electronics,East,6,587.78,0.14,Card,6,4.5,3032.94
+12516,11/20/2028,1165,Electronics,West,2,363.37,0.16,COD,11,3.7,610.46
+12517,11/21/2028,1870,Clothing,North,6,438.96,0.3,Card,4,2.7,1843.63
+12518,11/22/2028,1089,Home,North,6,275.51,0.21,COD,7,3.6,1305.92
+12519,11/23/2028,1685,Electronics,South,1,50.31,0.21,Card,4,4,39.74
+12520,11/24/2028,1121,Clothing,West,2,481.6,0.1,Card,7,4.7,866.88
+12521,11/25/2028,1142,Electronics,North,1,35.47,0.29,Card,5,3.8,25.18
+12522,11/26/2028,1993,Electronics,North,3,424.88,0.06,Card,2,3.2,1198.16
+12523,11/27/2028,1105,Electronics,West,7,28.41,0.02,COD,7,2.5,194.89
+12524,11/28/2028,1886,Home,East,7,519.45,0.07,COD,8,4.6,3381.62
+12525,11/29/2028,1427,Electronics,West,3,107.22,0.09,Card,10,4.2,292.71
+12526,11/30/2028,1304,Electronics,West,7,315.85,0.1,Card,11,1.3,1989.86
+12527,12/1/2028,1871,Clothing,East,2,364.33,0.23,Card,2,3.8,561.07
+12528,12/2/2028,1970,Home,South,2,282.66,0.08,Wallet,6,3.2,520.09
+12529,12/3/2028,1316,Electronics,South,6,214.35,0.24,Card,4,1.4,977.44
+12530,12/4/2028,1962,Clothing,South,7,288.67,0.03,Wallet,5,3.3,1960.07
+12531,12/5/2028,1634,Electronics,East,3,197.18,0.05,COD,1,1.8,561.96
+12532,12/6/2028,1901,Clothing,North,5,271.3,0.18,Card,6,3.8,1112.33
+12533,12/7/2028,1008,Clothing,East,4,224.96,0.32,Wallet,11,2.1,611.89
+12534,12/8/2028,1773,Clothing,West,6,346.23,0.3,COD,8,1.6,1454.17
+12535,12/9/2028,1072,Electronics,East,4,154.19,0.34,COD,2,1.3,407.06
+12536,12/10/2028,1358,Electronics,North,3,593.36,0.23,Card,1,3,1370.66
+12537,12/11/2028,1222,Electronics,North,7,308.01,0.24,COD,9,1.8,1638.61
+12538,12/12/2028,1415,Clothing,West,7,128.58,0.22,Card,2,4.4,702.05
+12539,12/13/2028,1552,Electronics,South,4,294.08,0.22,Card,8,1,917.53
+12540,12/14/2028,1369,Home,North,5,521.85,0.05,Wallet,5,4.4,2478.79
+12541,12/15/2028,1715,Beauty,North,7,27.76,0.19,Wallet,2,3.1,157.4
+12542,12/16/2028,1263,Beauty,North,5,412.54,0.14,Card,5,4.7,1773.92
+12543,12/17/2028,1839,Beauty,West,1,335.56,0.15,COD,9,1.8,285.23
+12544,12/18/2028,1689,Clothing,North,2,114.19,0.18,COD,6,1.4,187.27
+12545,12/19/2028,1859,Home,South,4,493.22,0.04,Card,3,3.5,1893.96
+12546,12/20/2028,1317,Electronics,West,7,230.8,0.13,Card,8,3.8,1405.57
+12547,12/21/2028,1083,Clothing,South,5,186.87,0.02,Card,1,2.5,915.66
+12548,12/22/2028,1317,Clothing,North,7,499.45,0.34,COD,9,1.1,2307.46
+12549,12/23/2028,1110,Clothing,North,2,388.54,0.04,Wallet,9,2.6,746
+12550,12/24/2028,1250,Home,South,2,540.48,0.09,Card,4,1.9,983.67
+12551,12/25/2028,1382,Electronics,West,1,383.48,0.31,COD,8,2.4,264.6
+12552,12/26/2028,1006,Electronics,West,2,448.38,0.17,COD,11,3,744.31
+12553,12/27/2028,1458,Beauty,South,2,504.32,0.05,COD,11,3.8,958.21
+12554,12/28/2028,1083,Electronics,North,6,47.02,0.13,Card,3,4.9,245.44
+12555,12/29/2028,1207,Clothing,East,3,468.99,0.04,COD,6,1.6,1350.69
+12556,12/30/2028,1899,Beauty,South,7,374.02,0.07,Wallet,10,3.7,2434.87
+12557,12/31/2028,1389,Clothing,South,1,55.66,0.02,Card,10,1.9,54.55
+12558,1/1/2029,1313,Clothing,South,1,312.52,0.15,Card,8,1.9,265.64
+12559,1/2/2029,1021,Electronics,North,4,63.24,0.28,Wallet,11,3.5,182.13
+12560,1/3/2029,1409,Electronics,West,2,445.53,0.21,Card,9,4.1,703.94
+12561,1/4/2029,1894,Beauty,North,4,334.7,0.21,Wallet,8,4.9,1057.65
+12562,1/5/2029,1514,Clothing,South,6,572.84,0.07,Card,9,4.1,3196.45
+12563,1/6/2029,1126,Clothing,North,5,122.13,0.12,Card,4,1.6,537.37
+12564,1/7/2029,1808,Electronics,North,2,369.53,0.3,Card,10,1.9,517.34
+12565,1/8/2029,1699,Electronics,South,5,138.78,0.03,Card,1,4,673.08
+12566,1/9/2029,1873,Beauty,North,3,374.23,0.3,Card,7,3.1,785.88
+12567,1/10/2029,1013,Clothing,East,6,437.75,0.17,COD,11,2.2,2180
+12568,1/11/2029,1970,Clothing,North,2,437.55,0.29,Card,10,2.9,621.32
+12569,1/12/2029,1977,Electronics,North,4,491.82,0.11,Wallet,4,4.7,1750.88
+12570,1/13/2029,1011,Home,West,4,514.33,0.12,COD,1,4,1810.44
+12571,1/14/2029,1086,Beauty,West,2,60.2,0.26,COD,3,2.8,89.1
+12572,1/15/2029,1523,Clothing,South,7,215.81,0.27,Card,7,4.9,1102.79
+12573,1/16/2029,1908,Electronics,South,4,416.97,0.08,COD,11,4.2,1534.45
+12574,1/17/2029,1536,Clothing,West,7,306.67,0.34,COD,3,1,1416.82
+12575,1/18/2029,1300,Home,East,2,126.55,0.03,Card,1,1.4,245.51
+12576,1/19/2029,1242,Clothing,North,1,338.34,0.02,Wallet,7,3.2,331.57
+12577,1/20/2029,1121,Beauty,East,4,253.35,0.21,Card,8,2.4,800.59
+12578,1/21/2029,1146,Clothing,East,7,243.17,0.25,Card,5,4.3,1276.64
+12579,1/22/2029,1566,Beauty,West,2,488.71,0.34,COD,6,4.6,645.1
+12580,1/23/2029,1749,Clothing,South,2,253.45,0.14,COD,3,2,435.93
+12581,1/24/2029,1355,Electronics,North,7,30.48,0.01,Card,5,4.1,211.23
+12582,1/25/2029,1684,Electronics,South,4,48.97,0.21,Wallet,3,3.1,154.75
+12583,1/26/2029,1903,Electronics,East,1,515.9,0.1,COD,2,2.6,464.31
+12584,1/27/2029,1732,Beauty,East,4,576.95,0.15,COD,7,4.1,1961.63
+12585,1/28/2029,1630,Home,South,2,417.72,0.17,Card,10,3.3,693.42
+12586,1/29/2029,1308,Home,South,1,228.16,0.02,Wallet,11,3.5,223.6
+12587,1/30/2029,1694,Electronics,West,5,564.08,0.17,Card,7,1.2,2340.93
+12588,1/31/2029,1287,Electronics,South,3,402.74,0.15,COD,8,3.3,1026.99
+12589,2/1/2029,1306,Home,South,4,508.94,0.25,Card,1,2.2,1526.82
+12590,2/2/2029,1811,Clothing,West,6,463.02,0.23,COD,2,3,2139.15
+12591,2/3/2029,1593,Electronics,South,2,236.8,0.06,Card,2,1.9,445.18
+12592,2/4/2029,1965,Clothing,East,1,295.04,0.07,Card,3,3.5,274.39
+12593,2/5/2029,1913,Electronics,South,7,123.89,0.09,Wallet,7,1.6,789.18
+12594,2/6/2029,1722,Electronics,North,7,185.83,0.06,Card,7,1.5,1222.76
+12595,2/7/2029,1661,Clothing,East,7,470.2,0.23,Card,7,1.8,2534.38
+12596,2/8/2029,1548,Electronics,West,1,537.98,0.35,COD,1,4.3,349.69
+12597,2/9/2029,1351,Beauty,East,5,438.81,0.23,COD,2,1.1,1689.42
+12598,2/10/2029,1311,Electronics,West,4,287.13,0.21,Card,8,3.9,907.33
+12599,2/11/2029,1872,Electronics,North,6,65.61,0.14,Card,9,1.2,338.55
+12600,2/12/2029,1058,Electronics,North,7,48.31,0.11,Wallet,10,3.4,300.97
+12601,2/13/2029,1642,Home,East,1,233.98,0.32,COD,7,4.1,159.11
+12602,2/14/2029,1923,Clothing,South,7,286.34,0.34,Card,1,1.9,1322.89
+12603,2/15/2029,1713,Clothing,East,5,371.34,0.17,Wallet,4,1.8,1541.06
+12604,2/16/2029,1754,Electronics,East,2,18.8,0.1,COD,10,2.2,33.84
+12605,2/17/2029,1034,Electronics,North,7,593.99,0.27,Card,8,3.8,3035.29
+12606,2/18/2029,1444,Clothing,West,5,227.9,0.05,Card,5,2,1082.52
+12607,2/19/2029,1092,Home,East,4,511.14,0.27,Card,1,3,1492.53
+12608,2/20/2029,1949,Beauty,South,7,327.96,0.29,Wallet,7,1.5,1629.96
+12609,2/21/2029,1958,Electronics,North,5,91.31,0.04,Card,6,2.8,438.29
+12610,2/22/2029,1206,Clothing,East,1,481.58,0.34,Card,9,3.5,317.84
+12611,2/23/2029,1352,Beauty,East,1,430.25,0.34,Wallet,4,1.3,283.96
+12612,2/24/2029,1902,Clothing,South,3,323.55,0.33,Card,4,4.3,650.34
+12613,2/25/2029,1331,Home,East,5,316.01,0.17,COD,8,4.7,1311.44
+12614,2/26/2029,1816,Electronics,East,2,66.18,0.09,Card,4,1.8,120.45
+12615,2/27/2029,1861,Beauty,East,7,398.67,0.2,COD,3,4,2232.55
+12616,2/28/2029,1724,Home,East,6,548.08,0.15,Card,7,2.3,2795.21
+12617,3/1/2029,1158,Beauty,South,6,69.55,0.07,Card,5,3.7,388.09
+12618,3/2/2029,1953,Home,East,4,169.15,0.15,COD,9,2.2,575.11
+12619,3/3/2029,1956,Clothing,East,3,542.85,0.23,COD,5,4.4,1253.98
+12620,3/4/2029,1023,Beauty,East,5,181.34,0.02,COD,9,2.4,888.57
+12621,3/5/2029,1403,Electronics,North,2,397.56,0.12,COD,6,4.4,699.71
+12622,3/6/2029,1804,Electronics,South,3,327.87,0.01,COD,6,4.1,973.77
+12623,3/7/2029,1515,Home,North,1,363.85,0.26,COD,11,1.8,269.25
+12624,3/8/2029,1731,Home,North,4,258.24,0.22,COD,6,1.6,805.71
+12625,3/9/2029,1363,Beauty,South,7,190.5,0.02,COD,7,4.1,1306.83
+12626,3/10/2029,1381,Electronics,North,7,43.39,0.34,COD,11,2.6,200.46
+12627,3/11/2029,1531,Home,North,7,450.4,0.01,COD,4,4.8,3121.27
+12628,3/12/2029,1955,Home,North,5,451.46,0.21,Card,4,4.8,1783.27
+12629,3/13/2029,1151,Electronics,South,6,407.37,0.27,Card,9,3.8,1784.28
+12630,3/14/2029,1561,Clothing,East,2,391.53,0.28,Card,7,3,563.8
+12631,3/15/2029,1688,Electronics,West,7,157.57,0.01,Wallet,11,1.8,1091.96
+12632,3/16/2029,1946,Electronics,West,7,28.07,0.32,COD,10,4.5,133.61
+12633,3/17/2029,1607,Beauty,South,1,488.1,0.32,COD,6,1.3,331.91
+12634,3/18/2029,1616,Clothing,West,3,302.32,0.2,Card,1,2.5,725.57
+12635,3/19/2029,1419,Home,South,7,194.5,0.17,Card,7,2.3,1130.04
+12636,3/20/2029,1249,Beauty,South,4,74.63,0.02,Wallet,6,4.8,292.55
+12637,3/21/2029,1116,Clothing,West,3,51.69,0.2,Wallet,4,1.5,124.06
+12638,3/22/2029,1865,Home,North,6,219.09,0.14,Card,8,4.6,1130.5
+12639,3/23/2029,1511,Clothing,East,3,485.77,0.27,COD,7,2.8,1063.84
+12640,3/24/2029,1739,Beauty,West,2,552.45,0.14,Card,8,1.2,950.21
+12641,3/25/2029,1577,Electronics,West,1,539.6,0.24,Card,9,3.9,410.1
+12642,3/26/2029,1334,Beauty,West,5,553.2,0.04,COD,1,1.4,2655.36
+12643,3/27/2029,1417,Electronics,West,2,546.02,0.05,COD,3,1.9,1037.44
+12644,3/28/2029,1931,Electronics,South,6,323.43,0.05,COD,2,4.2,1843.55
+12645,3/29/2029,1773,Home,South,4,143.36,0.02,Card,3,1.6,561.97
+12646,3/30/2029,1294,Clothing,East,6,481.86,0.19,Card,11,2.3,2341.84
+12647,3/31/2029,1937,Clothing,East,6,140.02,0.28,Card,11,2.4,604.89
+12648,4/1/2029,1754,Clothing,West,3,171.32,0.21,Card,2,3.4,406.03
+12649,4/2/2029,1370,Home,West,4,151.45,0.2,COD,11,4.2,484.64
+12650,4/3/2029,1185,Electronics,West,2,316.26,0.24,Card,6,1.9,480.72
+12651,4/4/2029,1245,Electronics,East,6,203.27,0.12,Card,9,1.8,1073.27
+12652,4/5/2029,1636,Electronics,West,2,105.18,0.13,Card,2,1.9,183.01
+12653,4/6/2029,1267,Clothing,North,7,280.11,0.11,COD,4,2.5,1745.09
+12654,4/7/2029,1642,Electronics,East,7,526.24,0.25,COD,5,3.1,2762.76
+12655,4/8/2029,1236,Clothing,North,7,348.77,0.06,COD,5,1.1,2294.91
+12656,4/9/2029,1529,Clothing,West,5,528.83,0,Card,1,4.1,2644.15
+12657,4/10/2029,1551,Electronics,South,3,129.59,0.21,Card,6,4.7,307.13
+12658,4/11/2029,1020,Clothing,North,2,112.68,0.33,Card,5,4.4,150.99
+12659,4/12/2029,1910,Beauty,East,7,351.71,0.21,Card,6,1.1,1944.96
+12660,4/13/2029,1736,Electronics,North,7,286.05,0.27,Card,4,3.1,1461.72
+12661,4/14/2029,1866,Clothing,East,4,401.2,0.24,Card,11,4.3,1219.65
+12662,4/15/2029,1793,Home,West,6,479.86,0.17,COD,6,2.4,2389.7
+12663,4/16/2029,1519,Clothing,North,7,454.51,0.25,Wallet,9,4.6,2386.18
+12664,4/17/2029,1099,Home,South,5,566.22,0.29,Card,1,4.5,2010.08
+12665,4/18/2029,1751,Clothing,North,4,247.98,0.08,Wallet,6,1.6,912.57
+12666,4/19/2029,1477,Clothing,South,3,135.74,0.12,Card,1,3,358.35
+12667,4/20/2029,1598,Electronics,East,5,337.28,0.08,COD,7,1.1,1551.49
+12668,4/21/2029,1297,Home,West,5,79.78,0.16,COD,4,2.1,335.08
+12669,4/22/2029,1939,Home,West,5,183.98,0.31,Wallet,6,4.2,634.73
+12670,4/23/2029,1525,Electronics,South,6,136.61,0.12,Card,7,4.9,721.3
+12671,4/24/2029,1333,Clothing,East,7,246.99,0.13,Card,11,4.7,1504.17
+12672,4/25/2029,1001,Beauty,West,1,80.06,0.3,Card,5,1.2,56.04
+12673,4/26/2029,1374,Clothing,East,5,33.63,0.18,Card,9,4.7,137.88
+12674,4/27/2029,1292,Clothing,South,4,399.22,0.19,Wallet,8,4.3,1293.47
+12675,4/28/2029,1836,Beauty,South,4,372,0.3,COD,3,4.5,1041.6
+12676,4/29/2029,1933,Home,North,3,429.39,0.17,COD,1,4.7,1069.18
+12677,4/30/2029,1552,Clothing,West,2,401.33,0.24,COD,11,3,610.02
+12678,5/1/2029,1317,Home,West,2,81.86,0.03,Wallet,10,1.8,158.81
+12679,5/2/2029,1501,Beauty,North,1,185.28,0.06,Card,8,1.1,174.16
+12680,5/3/2029,1827,Clothing,South,6,90.77,0.14,Card,4,1.1,468.37
+12681,5/4/2029,1380,Clothing,South,7,508.14,0.17,Wallet,7,3.6,2952.29
+12682,5/5/2029,1622,Clothing,South,6,451.94,0.34,Card,4,2.3,1789.68
+12683,5/6/2029,1013,Beauty,South,7,132.89,0.34,Card,7,3,613.95
+12684,5/7/2029,1503,Home,East,5,214.67,0.3,Card,1,1.5,751.34
+12685,5/8/2029,1230,Electronics,West,7,580.47,0.11,COD,1,4.9,3616.33
+12686,5/9/2029,1984,Beauty,West,1,362.58,0.34,COD,2,1.5,239.3
+12687,5/10/2029,1083,Clothing,South,3,483.68,0.24,Card,5,2.8,1102.79
+12688,5/11/2029,1129,Electronics,South,3,169.79,0.14,COD,11,2.8,438.06
+12689,5/12/2029,1742,Clothing,South,2,137.88,0.25,COD,10,1,206.82
+12690,5/13/2029,1837,Clothing,West,3,473.59,0.01,Wallet,6,3.7,1406.56
+12691,5/14/2029,1144,Beauty,West,5,416.24,0.05,COD,2,3.2,1977.14
+12692,5/15/2029,1890,Electronics,South,4,413.37,0.29,COD,1,3,1173.97
+12693,5/16/2029,1856,Home,East,3,338.29,0.23,COD,9,4.3,781.45
+12694,5/17/2029,1027,Clothing,North,1,344.69,0.13,Card,7,2,299.88
+12695,5/18/2029,1065,Electronics,North,5,445.38,0.18,Card,8,4.4,1826.06
+12696,5/19/2029,1162,Beauty,North,3,172.95,0.32,COD,6,4.5,352.82
+12697,5/20/2029,1228,Clothing,West,6,221.37,0.22,Card,9,4.3,1036.01
+12698,5/21/2029,1260,Electronics,West,7,524.91,0.14,Card,8,2.4,3159.96
+12699,5/22/2029,1448,Clothing,North,3,195.69,0.04,COD,4,1.7,563.59
+12700,5/23/2029,1423,Beauty,North,6,334.59,0.1,Card,5,2.9,1806.79
+12701,5/24/2029,1459,Electronics,East,5,426.04,0.34,Card,2,2,1405.93
+12702,5/25/2029,1951,Electronics,West,3,599.96,0.15,COD,1,1.2,1529.9
+12703,5/26/2029,1675,Electronics,West,6,269.65,0.17,COD,6,2.1,1342.86
+12704,5/27/2029,1300,Electronics,North,4,265.43,0.17,Wallet,3,2.9,881.23
+12705,5/28/2029,1918,Home,East,2,507.91,0.31,COD,11,1.5,700.92
+12706,5/29/2029,1302,Clothing,East,5,486.22,0.21,COD,4,4.8,1920.57
+12707,5/30/2029,1286,Electronics,North,6,442.68,0.24,Card,1,3.6,2018.62
+12708,5/31/2029,1394,Electronics,North,1,285.99,0.14,Card,6,1.5,245.95
+12709,6/1/2029,1009,Electronics,West,3,204.5,0.01,Card,8,4.2,607.36
+12710,6/2/2029,1706,Beauty,North,6,371.11,0.33,COD,10,4.7,1491.86
+12711,6/3/2029,1629,Electronics,South,7,527.59,0.33,COD,4,2.1,2474.4
+12712,6/4/2029,1269,Beauty,East,6,532.01,0.33,COD,10,1.6,2138.68
+12713,6/5/2029,1591,Clothing,North,6,78.47,0.33,COD,8,2.3,315.45
+12714,6/6/2029,1969,Electronics,South,7,265.58,0.29,Card,11,4.3,1319.93
+12715,6/7/2029,1604,Beauty,East,2,286.86,0.24,COD,10,1.7,436.03
+12716,6/8/2029,1777,Clothing,South,7,586.9,0.3,Card,3,4.1,2875.81
+12717,6/9/2029,1843,Home,South,7,411.63,0.21,Card,11,3.9,2276.31
+12718,6/10/2029,1861,Beauty,North,1,253.24,0.05,COD,7,3.6,240.58
+12719,6/11/2029,1360,Electronics,East,7,30.24,0.14,Wallet,3,2.7,182.04
+12720,6/12/2029,1256,Electronics,South,1,345.75,0.34,Wallet,6,2.5,228.19
+12721,6/13/2029,1132,Home,West,4,71.2,0.12,Wallet,4,1.3,250.62
+12722,6/14/2029,1275,Electronics,East,7,503.15,0.3,Card,6,2.4,2465.43
+12723,6/15/2029,1775,Electronics,West,2,455.22,0.03,Card,7,3.4,883.13
+12724,6/16/2029,1682,Electronics,North,7,284.4,0.12,Card,8,4.6,1751.9
+12725,6/17/2029,1971,Electronics,West,6,266.09,0.12,Card,6,4.3,1404.96
+12726,6/18/2029,1512,Home,East,5,539.94,0.02,Card,4,1.1,2645.71
+12727,6/19/2029,1312,Electronics,South,2,183.75,0.04,COD,9,1.6,352.8
+12728,6/20/2029,1575,Clothing,South,7,160.68,0.07,COD,7,4.4,1046.03
+12729,6/21/2029,1885,Clothing,East,2,564.43,0.29,Wallet,9,4.8,801.49
+12730,6/22/2029,1979,Clothing,South,1,488.41,0.02,Wallet,3,1.2,478.64
+12731,6/23/2029,1283,Electronics,West,4,495.07,0.1,Card,5,3.8,1782.25
+12732,6/24/2029,1120,Home,South,4,129.19,0,Wallet,1,2.5,516.76
+12733,6/25/2029,1106,Electronics,South,2,98.83,0.24,COD,11,2.5,150.22
+12734,6/26/2029,1932,Home,West,2,30.23,0.22,COD,8,3.6,47.16
+12735,6/27/2029,1686,Beauty,West,7,153.67,0.23,COD,1,4.2,828.28
+12736,6/28/2029,1996,Clothing,West,3,467.9,0.13,Card,1,2.1,1221.22
+12737,6/29/2029,1203,Clothing,North,6,155.42,0.07,Wallet,7,3.8,867.24
+12738,6/30/2029,1164,Clothing,West,1,441.53,0.25,COD,11,3.5,331.15
+12739,7/1/2029,1304,Clothing,West,6,162.37,0.28,Wallet,8,3.1,701.44
+12740,7/2/2029,1496,Beauty,North,5,246.25,0.05,Wallet,3,3.4,1169.69
+12741,7/3/2029,1631,Beauty,South,5,590.15,0.17,COD,2,1.1,2449.12
+12742,7/4/2029,1555,Electronics,West,4,158.21,0.09,Card,7,1,575.88
+12743,7/5/2029,1823,Clothing,East,1,235.18,0.06,Card,10,3.2,221.07
+12744,7/6/2029,1155,Beauty,West,6,191.14,0.26,Card,5,3.1,848.66
+12745,7/7/2029,1366,Beauty,West,4,79.13,0.19,Card,1,1.3,256.38
+12746,7/8/2029,1718,Clothing,North,5,301.59,0.08,Wallet,2,3,1387.31
+12747,7/9/2029,1901,Clothing,East,2,236.53,0.11,Card,3,4,421.02
+12748,7/10/2029,1619,Electronics,South,1,421.51,0.34,Wallet,6,3.2,278.2
+12749,7/11/2029,1250,Beauty,South,1,493.29,0.3,COD,1,3.1,345.3
+12750,7/12/2029,1956,Electronics,East,6,333.39,0.31,Card,8,3.9,1380.23
+12751,7/13/2029,1915,Clothing,West,7,33.83,0.16,COD,2,1.7,198.92
+12752,7/14/2029,1881,Electronics,North,3,377.07,0.22,COD,5,2.8,882.34
+12753,7/15/2029,1333,Electronics,East,6,47.4,0.13,COD,8,1.6,247.43
+12754,7/16/2029,1641,Clothing,East,2,375.57,0.03,COD,5,3.1,728.61
+12755,7/17/2029,1968,Beauty,South,7,415.74,0.14,Card,8,3.4,2502.75
+12756,7/18/2029,1510,Electronics,North,7,130.69,0.21,COD,6,1.5,722.72
+12757,7/19/2029,1292,Clothing,East,7,494.32,0.1,COD,7,1.3,3114.22
+12758,7/20/2029,1019,Electronics,North,2,547.98,0.3,COD,8,1.7,767.17
+12759,7/21/2029,1281,Electronics,West,4,490.66,0.05,Wallet,3,3.3,1864.51
+12760,7/22/2029,1796,Clothing,South,1,193.49,0.13,Card,5,1.8,168.34
+12761,7/23/2029,1000,Clothing,West,4,358.19,0.04,Card,10,2.1,1375.45
+12762,7/24/2029,1118,Electronics,North,2,550.17,0.14,COD,7,3.8,946.29
+12763,7/25/2029,1034,Electronics,West,3,202.59,0.01,Wallet,9,2,601.69
+12764,7/26/2029,1197,Electronics,South,1,494.72,0.1,Card,6,2.6,445.25
+12765,7/27/2029,1484,Electronics,North,2,20.54,0.14,Card,10,4.7,35.33
+12766,7/28/2029,1756,Beauty,East,3,17.13,0.17,Card,1,4.3,42.65
+12767,7/29/2029,1058,Beauty,West,6,459.43,0.19,Card,11,2,2232.83
+12768,7/30/2029,1836,Electronics,South,5,460.45,0.1,Card,8,3.4,2072.02
+12769,7/31/2029,1160,Clothing,East,7,476.55,0.18,Card,6,3.7,2735.4
+12770,8/1/2029,1690,Beauty,South,2,559.07,0.18,COD,1,4.6,916.87
+12771,8/2/2029,1205,Electronics,North,5,83.98,0.11,Card,4,3.2,373.71
+12772,8/3/2029,1011,Home,North,4,150.71,0.29,Card,6,3.2,428.02
+12773,8/4/2029,1489,Beauty,West,5,543.68,0.19,Card,10,4.6,2201.9
+12774,8/5/2029,1275,Electronics,South,2,118.68,0.12,Wallet,1,1.2,208.88
+12775,8/6/2029,1692,Electronics,South,5,414.1,0.33,COD,10,3.5,1387.24
+12776,8/7/2029,1241,Beauty,South,7,325.32,0.3,Wallet,5,2.7,1594.07
+12777,8/8/2029,1215,Clothing,North,1,63.67,0.34,COD,3,4.6,42.02
+12778,8/9/2029,1250,Electronics,West,2,181.88,0.24,Card,7,4.8,276.46
+12779,8/10/2029,1810,Electronics,South,3,319.42,0.13,Card,8,1.7,833.69
+12780,8/11/2029,1125,Clothing,South,5,513.62,0.1,COD,3,2.1,2311.29
+12781,8/12/2029,1993,Home,East,1,428.91,0.23,COD,10,2.1,330.26
+12782,8/13/2029,1216,Home,South,7,378.8,0.34,COD,3,1.4,1750.06
+12783,8/14/2029,1305,Beauty,West,4,305.18,0.22,COD,11,2.9,952.16
+12784,8/15/2029,1796,Electronics,East,4,189.73,0.31,COD,3,3.1,523.65
+12785,8/16/2029,1184,Clothing,East,7,84.76,0.12,Card,11,3.3,522.12
+12786,8/17/2029,1038,Clothing,East,5,254.31,0.14,Wallet,6,3.7,1093.53
+12787,8/18/2029,1222,Clothing,North,4,31.68,0.32,COD,6,1.3,86.17
+12788,8/19/2029,1183,Electronics,East,3,138.47,0.26,Card,3,3.5,307.4
+12789,8/20/2029,1494,Beauty,South,2,268,0.34,COD,6,4.7,353.76
+12790,8/21/2029,1426,Beauty,North,1,259.88,0.27,COD,9,2.8,189.71
+12791,8/22/2029,1177,Clothing,North,6,40.91,0.16,Card,11,1.4,206.19
+12792,8/23/2029,1918,Clothing,North,5,359.6,0.19,Card,8,1.3,1456.38
+12793,8/24/2029,1427,Electronics,North,4,336.57,0.32,Card,11,2.1,915.47
+12794,8/25/2029,1293,Clothing,North,2,60.69,0.19,Card,7,4,98.32
+12795,8/26/2029,1851,Home,North,6,566.75,0.09,Card,7,2,3094.46
+12796,8/27/2029,1150,Clothing,North,3,73.14,0.15,Card,8,4.3,186.51
+12797,8/28/2029,1383,Beauty,East,4,515.08,0.18,Card,7,4.3,1689.46
+12798,8/29/2029,1637,Clothing,West,4,15.18,0.03,Card,3,2.8,58.9
+12799,8/30/2029,1812,Clothing,South,1,531.13,0.26,Wallet,8,2.2,393.04
+12800,8/31/2029,1307,Home,South,3,26.54,0.04,Card,8,3.4,76.44
+12801,9/1/2029,1335,Electronics,East,3,458.32,0.14,Card,1,4.2,1182.47
+12802,9/2/2029,1945,Clothing,East,5,226.59,0.28,Card,10,1.3,815.72
+12803,9/3/2029,1745,Electronics,North,6,446.86,0.16,COD,5,4.8,2252.17
+12804,9/4/2029,1891,Clothing,West,1,250.02,0.29,Card,5,3.6,177.51
+12805,9/5/2029,1374,Home,North,5,56.48,0.12,Card,1,2.6,248.51
+12806,9/6/2029,1007,Clothing,East,1,463.99,0.34,Card,6,3,306.23
+12807,9/7/2029,1340,Home,North,3,56.68,0.07,Wallet,6,2.5,158.14
+12808,9/8/2029,1128,Clothing,South,1,554.44,0.01,COD,4,2.7,548.9
+12809,9/9/2029,1775,Electronics,South,1,44.82,0.31,Card,6,3.4,30.93
+12810,9/10/2029,1668,Home,North,1,295.41,0.26,Card,6,1.2,218.6
+12811,9/11/2029,1351,Electronics,West,2,437.98,0.08,Card,1,1.7,805.88
+12812,9/12/2029,1357,Electronics,North,2,245.05,0.34,Card,5,1.9,323.47
+12813,9/13/2029,1516,Clothing,North,6,142.08,0.18,COD,2,2.6,699.03
+12814,9/14/2029,1494,Electronics,West,6,459.07,0.33,COD,7,2.5,1845.46
+12815,9/15/2029,1085,Electronics,West,7,473.81,0.18,COD,9,3.9,2719.67
+12816,9/16/2029,1174,Clothing,West,3,554.78,0.17,Card,9,2,1381.4
+12817,9/17/2029,1801,Clothing,South,1,235.06,0.16,COD,11,1.2,197.45
+12818,9/18/2029,1192,Clothing,North,3,311.16,0.12,Card,9,1.2,821.46
+12819,9/19/2029,1310,Beauty,East,2,227.43,0.19,Card,11,1,368.44
+12820,9/20/2029,1118,Clothing,West,1,165.39,0.16,COD,7,1.2,138.93
+12821,9/21/2029,1217,Beauty,West,5,454.35,0.01,Card,7,4.4,2249.03
+12822,9/22/2029,1426,Electronics,North,2,213.7,0.09,COD,1,3.8,388.93
+12823,9/23/2029,1969,Clothing,East,2,265.47,0.07,Wallet,11,5,493.77
+12824,9/24/2029,1413,Beauty,North,2,251.15,0.3,Card,11,1.1,351.61
+12825,9/25/2029,1113,Clothing,North,7,431.91,0.21,Wallet,6,4.4,2388.46
+12826,9/26/2029,1977,Home,West,1,551.91,0.27,Card,5,3.8,402.89
+12827,9/27/2029,1144,Clothing,West,6,405.05,0.33,Card,8,3.6,1628.3
+12828,9/28/2029,1537,Electronics,South,4,290.88,0.23,COD,8,2.4,895.91
+12829,9/29/2029,1647,Clothing,East,5,470.83,0.34,COD,11,2.5,1553.74
+12830,9/30/2029,1302,Clothing,East,5,389.97,0.11,Card,4,4.4,1735.37
+12831,10/1/2029,1743,Beauty,West,3,50.46,0.07,COD,1,3.9,140.78
+12832,10/2/2029,1880,Electronics,West,1,70.96,0.14,Wallet,6,3.7,61.03
+12833,10/3/2029,1587,Beauty,West,6,37.18,0.16,Card,10,1.1,187.39
+12834,10/4/2029,1986,Beauty,East,2,282.24,0.31,Wallet,1,1.7,389.49
+12835,10/5/2029,1839,Electronics,South,4,498.12,0.2,COD,5,4.9,1593.98
+12836,10/6/2029,1344,Electronics,East,1,198.15,0.1,Wallet,5,2.8,178.34
+12837,10/7/2029,1813,Beauty,West,1,239.73,0.26,Card,3,4.1,177.4
+12838,10/8/2029,1963,Beauty,West,7,547.04,0.18,COD,5,2.6,3140.01
+12839,10/9/2029,1800,Clothing,South,6,504.59,0.06,Card,6,4.1,2845.89
+12840,10/10/2029,1000,Electronics,North,4,404.05,0.2,Wallet,5,1.5,1292.96
+12841,10/11/2029,1146,Clothing,North,2,171.08,0.32,COD,1,1.2,232.67
+12842,10/12/2029,1286,Home,East,1,83.47,0.29,Card,7,2.9,59.26
+12843,10/13/2029,1975,Electronics,North,5,24.39,0.21,Card,3,3.4,96.34
+12844,10/14/2029,1653,Home,North,5,77.6,0.13,Wallet,7,2.3,337.56
+12845,10/15/2029,1052,Electronics,East,4,186.17,0.03,COD,5,3.9,722.34
+12846,10/16/2029,1303,Electronics,West,2,337.8,0.16,Card,3,3,567.5
+12847,10/17/2029,1068,Clothing,North,4,52.44,0.26,Card,11,4.7,155.22
+12848,10/18/2029,1360,Clothing,West,1,94.69,0.13,Wallet,6,1.3,82.38
+12849,10/19/2029,1601,Electronics,East,7,120.93,0.08,Card,1,1.3,778.79
+12850,10/20/2029,1957,Clothing,West,7,384.71,0.33,Card,6,4.6,1804.29
+12851,10/21/2029,1219,Electronics,West,5,375.24,0.29,Wallet,4,3.7,1332.1
+12852,10/22/2029,1961,Electronics,East,7,337.2,0.22,Card,4,3.7,1841.11
+12853,10/23/2029,1703,Electronics,West,3,161.54,0.05,Card,5,1.1,460.39
+12854,10/24/2029,1965,Beauty,North,4,232.11,0.05,Card,9,4.8,882.02
+12855,10/25/2029,1574,Clothing,North,7,71.56,0.04,Wallet,1,4.1,480.88
+12856,10/26/2029,1584,Clothing,North,3,147.48,0.22,Card,3,4.1,345.1
+12857,10/27/2029,1160,Clothing,North,3,540.16,0.04,COD,11,4.6,1555.66
+12858,10/28/2029,1680,Beauty,West,6,588.12,0.29,Wallet,4,3.3,2505.39
+12859,10/29/2029,1088,Electronics,North,5,393.88,0.35,Card,2,2.6,1280.11
+12860,10/30/2029,1687,Home,West,4,551.34,0.13,Wallet,9,2.9,1918.66
+12861,10/31/2029,1780,Home,South,3,391,0.16,Card,11,4.1,985.32
+12862,11/1/2029,1584,Clothing,West,1,34.42,0.25,COD,7,4.1,25.82
+12863,11/2/2029,1756,Electronics,North,7,598.11,0.33,Card,1,3.4,2805.14
+12864,11/3/2029,1588,Home,South,6,72.89,0.31,COD,9,1.9,301.76
+12865,11/4/2029,1158,Electronics,East,2,414.35,0.02,Card,6,4.3,812.13
+12866,11/5/2029,1488,Clothing,West,7,162.91,0.06,Card,2,3.6,1071.95
+12867,11/6/2029,1970,Home,North,7,244.31,0.26,Wallet,1,1.9,1265.53
+12868,11/7/2029,1323,Electronics,North,7,392.87,0.24,Card,6,2.9,2090.07
+12869,11/8/2029,1609,Home,North,6,270.35,0.05,Wallet,7,5,1541
+12870,11/9/2029,1380,Electronics,East,2,161.57,0.18,Card,10,2.3,264.97
+12871,11/10/2029,1101,Home,South,5,210.65,0.27,Card,6,1.5,768.87
+12872,11/11/2029,1493,Clothing,South,4,214.81,0.08,Wallet,7,1.1,790.5
+12873,11/12/2029,1643,Electronics,North,4,576.2,0.3,Card,6,1.7,1613.36
+12874,11/13/2029,1613,Electronics,West,2,482.19,0.02,Wallet,8,1.7,945.09
+12875,11/14/2029,1018,Beauty,North,7,283.25,0.27,COD,2,4.4,1447.41
+12876,11/15/2029,1453,Electronics,North,1,131.9,0.22,Card,9,1.6,102.88
+12877,11/16/2029,1481,Electronics,West,2,489.44,0.11,COD,9,4.5,871.2
+12878,11/17/2029,1593,Electronics,North,2,106.95,0.25,Card,11,1.3,160.43
+12879,11/18/2029,1396,Clothing,East,4,138.12,0.27,Card,9,4.6,403.31
+12880,11/19/2029,1278,Clothing,North,3,229.12,0.33,COD,7,2,460.53
+12881,11/20/2029,1850,Electronics,East,1,530,0.13,Card,9,3.4,461.1
+12882,11/21/2029,1364,Electronics,North,4,92.1,0.24,Card,1,1.6,279.98
+12883,11/22/2029,1330,Electronics,South,6,86.51,0.21,Wallet,3,2.6,410.06
+12884,11/23/2029,1640,Electronics,West,2,303.98,0.18,Wallet,2,1.3,498.53
+12885,11/24/2029,1343,Clothing,South,3,176.7,0.31,COD,11,3.3,365.77
+12886,11/25/2029,1821,Home,North,1,347.71,0,COD,1,2.4,347.71
+12887,11/26/2029,1454,Electronics,North,5,279.21,0.1,COD,5,4.4,1256.44
+12888,11/27/2029,1600,Clothing,East,1,269.45,0.19,COD,1,1.7,218.25
+12889,11/28/2029,1724,Clothing,North,1,80.5,0.06,Card,3,2.1,75.67
+12890,11/29/2029,1654,Beauty,North,7,97.51,0.32,Wallet,6,1.7,464.15
+12891,11/30/2029,1064,Beauty,North,2,495.33,0.23,Card,6,3.3,762.81
+12892,12/1/2029,1075,Home,South,2,533.24,0.17,COD,3,1.4,885.18
+12893,12/2/2029,1710,Electronics,East,5,152.29,0.29,Wallet,4,1.8,540.63
+12894,12/3/2029,1142,Electronics,South,5,81.37,0.16,COD,7,3.7,341.75
+12895,12/4/2029,1916,Electronics,East,5,46.25,0.2,Wallet,6,1.3,185
+12896,12/5/2029,1914,Electronics,South,4,370.85,0,Card,11,4,1483.4
+12897,12/6/2029,1827,Clothing,North,4,433.48,0.13,Card,2,1.4,1508.51
+12898,12/7/2029,1604,Home,South,2,233.09,0.05,Wallet,9,3.3,442.87
+12899,12/8/2029,1472,Beauty,South,2,412.61,0.24,Card,6,5,627.17
+12900,12/9/2029,1416,Home,East,5,432.08,0.17,COD,2,1.7,1793.13
+12901,12/10/2029,1304,Clothing,East,4,562.18,0.11,Card,7,2,2001.36
+12902,12/11/2029,1735,Home,South,3,52.95,0.16,COD,11,4.6,133.43
+12903,12/12/2029,1496,Electronics,East,4,127.49,0.07,COD,11,3.5,474.26
+12904,12/13/2029,1290,Electronics,East,2,55.09,0.32,Card,10,3,74.92
+12905,12/14/2029,1939,Home,East,4,522.78,0.02,COD,10,3.3,2049.3
+12906,12/15/2029,1101,Electronics,West,2,478.66,0.3,COD,4,2.2,670.12
+12907,12/16/2029,1985,Clothing,East,5,351.17,0.18,Card,1,4.4,1439.8
+12908,12/17/2029,1266,Electronics,West,7,63.94,0.22,COD,10,4,349.11
+12909,12/18/2029,1866,Home,West,5,174.89,0.11,COD,9,3.6,778.26
+12910,12/19/2029,1967,Home,East,5,189.17,0.34,Card,11,4.7,624.26
+12911,12/20/2029,1621,Electronics,South,3,343.03,0.1,COD,10,3.3,926.18
+12912,12/21/2029,1973,Home,East,7,165.96,0.21,Card,8,3,917.76
+12913,12/22/2029,1841,Electronics,North,3,57.68,0.35,Card,5,4.9,112.48
+12914,12/23/2029,1961,Clothing,South,2,442.5,0.31,COD,3,1.8,610.65
+12915,12/24/2029,1941,Home,West,1,189.96,0.19,COD,4,1.6,153.87
+12916,12/25/2029,1776,Home,West,6,279.64,0.35,Wallet,3,1.6,1090.6
+12917,12/26/2029,1002,Beauty,South,3,89.68,0.25,Card,10,5,201.78
+12918,12/27/2029,1084,Electronics,South,2,484.49,0.07,Card,8,3.6,901.15
+12919,12/28/2029,1793,Home,East,7,345.84,0.14,Card,5,2.2,2081.96
+12920,12/29/2029,1327,Clothing,West,4,542.43,0.12,COD,11,2,1909.35
+12921,12/30/2029,1815,Beauty,North,7,304.85,0.12,Card,8,1.2,1877.88
+12922,12/31/2029,1449,Electronics,East,5,565.73,0.27,COD,1,1.5,2064.91
+12923,1/1/2030,1453,Home,South,5,536.74,0.2,Card,9,4.6,2146.96
+12924,1/2/2030,1923,Clothing,West,5,352.23,0.01,Wallet,11,4,1743.54
+12925,1/3/2030,1628,Electronics,South,2,561.33,0.31,COD,10,4.8,774.64
+12926,1/4/2030,1220,Clothing,South,5,204.01,0.1,Wallet,3,2.7,918.04
+12927,1/5/2030,1153,Electronics,South,3,228.9,0.35,Card,1,3.4,446.36
+12928,1/6/2030,1664,Clothing,East,4,41.6,0.33,COD,3,2.9,111.49
+12929,1/7/2030,1011,Beauty,North,5,359.68,0.33,COD,2,4.5,1204.93
+12930,1/8/2030,1132,Clothing,North,2,437.33,0.28,COD,7,5,629.76
+12931,1/9/2030,1993,Clothing,West,4,467.51,0.08,Card,10,4.7,1720.44
+12932,1/10/2030,1303,Clothing,South,5,102.64,0.19,Wallet,4,3.4,415.69
+12933,1/11/2030,1292,Electronics,North,1,274.83,0.08,Card,7,1.2,252.84
+12934,1/12/2030,1974,Electronics,South,5,118.46,0.09,Card,3,3.5,538.99
+12935,1/13/2030,1299,Clothing,West,6,402.34,0.21,COD,6,1.4,1907.09
+12936,1/14/2030,1739,Electronics,South,7,107.4,0.01,COD,7,1.6,744.28
+12937,1/15/2030,1782,Electronics,North,3,543.94,0.34,COD,7,1.8,1077
+12938,1/16/2030,1042,Clothing,South,4,149.92,0.32,Card,5,2.5,407.78
+12939,1/17/2030,1943,Electronics,North,3,185.47,0.13,Card,6,3.4,484.08
+12940,1/18/2030,1342,Electronics,West,1,512.78,0.18,COD,3,2.3,420.48
+12941,1/19/2030,1325,Clothing,South,1,283.2,0.16,Card,4,2.8,237.89
+12942,1/20/2030,1813,Electronics,North,6,29.04,0.31,Wallet,11,1.2,120.23
+12943,1/21/2030,1497,Beauty,West,3,304.33,0.24,Wallet,6,3.5,693.87
+12944,1/22/2030,1363,Beauty,South,4,64.46,0.1,COD,3,3.6,232.06
+12945,1/23/2030,1890,Home,West,1,591.43,0.16,Card,7,1.4,496.8
+12946,1/24/2030,1426,Electronics,North,1,359.05,0.15,Wallet,3,4.1,305.19
+12947,1/25/2030,1020,Home,South,5,165.07,0.34,Card,9,3.6,544.73
+12948,1/26/2030,1406,Home,South,6,344.77,0.06,Card,4,3,1944.5
+12949,1/27/2030,1618,Home,South,7,59.97,0.03,Card,2,3.2,407.2
+12950,1/28/2030,1335,Electronics,West,2,482.94,0.31,Card,6,3,666.46
+12951,1/29/2030,1814,Clothing,West,7,556.32,0.31,Wallet,9,1.2,2687.03
+12952,1/30/2030,1116,Home,North,7,526.55,0.31,COD,10,3.9,2543.24
+12953,1/31/2030,1123,Clothing,East,1,214.93,0.18,Wallet,10,3,176.24
+12954,2/1/2030,1398,Clothing,South,4,205.57,0.23,Card,2,1.7,633.16
+12955,2/2/2030,1792,Clothing,South,4,35.53,0.2,COD,4,3.7,113.7
+12956,2/3/2030,1803,Clothing,North,5,396.07,0.02,Wallet,5,3.8,1940.74
+12957,2/4/2030,1714,Electronics,South,4,327.92,0.21,Wallet,9,1.9,1036.23
+12958,2/5/2030,1050,Clothing,West,5,283.72,0,COD,7,4.2,1418.6
+12959,2/6/2030,1782,Electronics,West,1,545.96,0.11,Card,5,2.8,485.9
+12960,2/7/2030,1323,Clothing,South,1,113.21,0.33,COD,6,1.7,75.85
+12961,2/8/2030,1788,Electronics,South,7,20.65,0.11,Card,9,3.6,128.65
+12962,2/9/2030,1140,Clothing,West,1,57.89,0.33,COD,4,3.4,38.79
+12963,2/10/2030,1469,Electronics,South,1,145.67,0.09,COD,2,1.7,132.56
+12964,2/11/2030,1786,Home,West,2,34.47,0.11,COD,5,4.5,61.36
+12965,2/12/2030,1801,Home,East,6,309.16,0.22,COD,7,4.4,1446.87
+12966,2/13/2030,1333,Electronics,East,7,198.74,0.27,COD,4,4.3,1015.56
+12967,2/14/2030,1892,Electronics,South,7,120.58,0.18,Card,1,2.6,692.13
+12968,2/15/2030,1963,Electronics,South,6,453.8,0.31,COD,8,4.3,1878.73
+12969,2/16/2030,1372,Beauty,South,2,134.6,0.01,COD,5,4.4,266.51
+12970,2/17/2030,1563,Clothing,West,1,417.25,0.32,Card,10,5,283.73
+12971,2/18/2030,1493,Clothing,East,4,219.32,0.07,Card,2,4.8,815.87
+12972,2/19/2030,1538,Electronics,East,5,314.42,0.31,Card,3,2.5,1084.75
+12973,2/20/2030,1668,Clothing,North,7,561.31,0.14,Card,10,1.8,3379.09
+12974,2/21/2030,1750,Beauty,North,6,36.85,0.29,Wallet,10,2.2,156.98
+12975,2/22/2030,1155,Home,South,3,307.65,0.24,Card,5,3,701.44
+12976,2/23/2030,1290,Clothing,West,5,514.84,0.06,COD,11,4.2,2419.75
+12977,2/24/2030,1647,Electronics,South,3,358.96,0.32,COD,4,3.9,732.28
+12978,2/25/2030,1143,Electronics,East,3,176.97,0.09,Card,9,4.2,483.13
+12979,2/26/2030,1105,Electronics,South,7,247.64,0.09,Wallet,9,2.5,1577.47
+12980,2/27/2030,1419,Electronics,South,1,412.96,0.28,Card,8,2,297.33
+12981,2/28/2030,1669,Electronics,East,3,536.12,0.04,Wallet,2,1.1,1544.03
+12982,3/1/2030,1657,Electronics,East,1,39.02,0.08,Card,5,3.5,35.9
+12983,3/2/2030,1001,Clothing,East,2,56.85,0.18,Card,8,4.2,93.23
+12984,3/3/2030,1944,Beauty,East,4,205.16,0.29,Card,8,4.6,582.65
+12985,3/4/2030,1588,Clothing,North,3,151.18,0.05,Card,7,2.9,430.86
+12986,3/5/2030,1643,Home,West,7,169.98,0.19,Wallet,4,4.7,963.79
+12987,3/6/2030,1089,Home,West,4,144.44,0.25,Card,3,1.8,433.32
+12988,3/7/2030,1344,Electronics,East,1,129.56,0.3,COD,8,3.1,90.69
+12989,3/8/2030,1349,Home,West,3,91.42,0.33,Card,8,1.9,183.75
+12990,3/9/2030,1458,Electronics,West,5,561.36,0.27,Wallet,10,1.8,2048.96
+12991,3/10/2030,1262,Clothing,West,7,99.35,0.23,COD,5,4.8,535.5
+12992,3/11/2030,1350,Electronics,West,2,134.58,0.15,COD,3,4.3,228.79
+12993,3/12/2030,1107,Beauty,East,6,159.07,0.04,Card,5,1,916.24
+12994,3/13/2030,1585,Electronics,South,2,560.81,0.25,COD,4,2.1,841.21
+12995,3/14/2030,1038,Electronics,South,3,457.09,0.35,Card,8,1.8,891.33
+12996,3/15/2030,1908,Beauty,South,7,476.97,0.26,Card,2,1.6,2470.7
+12997,3/16/2030,1158,Electronics,North,2,76.28,0.01,COD,11,3.8,151.03
+12998,3/17/2030,1582,Home,West,6,504.24,0.17,Wallet,8,3.3,2511.12
+12999,3/18/2030,1958,Home,East,5,253.79,0.22,Wallet,10,2.8,989.78
+13000,3/19/2030,1311,Home,East,4,168.75,0.24,COD,6,1.8,513
+13001,3/20/2030,1240,Beauty,North,5,351.81,0.25,COD,4,2.1,1319.29
+13002,3/21/2030,1937,Beauty,East,2,495.98,0.2,Wallet,11,2.4,793.57
+13003,3/22/2030,1444,Electronics,South,6,470.51,0.08,COD,3,4.1,2597.22
+13004,3/23/2030,1297,Home,North,4,535.65,0.33,Card,10,5,1435.54
+13005,3/24/2030,1951,Clothing,East,7,557.96,0.24,Wallet,5,1.7,2968.35
+13006,3/25/2030,1035,Clothing,North,6,154.3,0.08,Card,6,2.4,851.74
+13007,3/26/2030,1083,Electronics,North,5,262.96,0.11,Card,1,2.1,1170.17
+13008,3/27/2030,1451,Home,East,1,23.56,0.32,COD,1,1.2,16.02
+13009,3/28/2030,1885,Beauty,South,1,529.4,0.31,Card,11,1.9,365.29
+13010,3/29/2030,1774,Beauty,East,4,105.42,0.14,Card,10,4.6,362.64
+13011,3/30/2030,1821,Clothing,West,4,518.96,0.01,Card,3,4.4,2055.08
+13012,3/31/2030,1384,Electronics,West,4,207.69,0.02,COD,2,1.7,814.14
+13013,4/1/2030,1171,Clothing,East,1,230.36,0.1,Wallet,1,2.5,207.32
+13014,4/2/2030,1375,Home,South,5,37.89,0.22,Card,11,2.2,147.77
+13015,4/3/2030,1684,Home,West,4,206.22,0.2,Card,8,1.6,659.9
+13016,4/4/2030,1361,Clothing,West,1,534.69,0.22,Card,1,3.5,417.06
+13017,4/5/2030,1558,Electronics,East,4,29.95,0.25,COD,10,3.2,89.85
+13018,4/6/2030,1890,Clothing,East,4,252.7,0.01,COD,8,2.7,1000.69
+13019,4/7/2030,1140,Clothing,East,6,33.37,0.04,COD,5,4.4,192.21
+13020,4/8/2030,1886,Beauty,North,4,231.99,0.13,Card,4,3.5,807.33
+13021,4/9/2030,1917,Clothing,North,1,115.99,0.05,COD,8,2,110.19
+13022,4/10/2030,1117,Electronics,North,5,162.55,0.03,COD,8,2.5,788.37
+13023,4/11/2030,1276,Clothing,East,1,528.4,0.22,Card,11,1.6,412.15
+13024,4/12/2030,1725,Electronics,South,1,270.09,0.29,Card,8,3.4,191.76
+13025,4/13/2030,1219,Beauty,West,4,175.17,0.26,Card,3,3.3,518.5
+13026,4/14/2030,1904,Clothing,North,6,359.76,0.29,Wallet,8,4.5,1532.58
+13027,4/15/2030,1025,Clothing,South,3,98.13,0.23,Wallet,1,4.4,226.68
+13028,4/16/2030,1520,Clothing,East,7,166.74,0.26,COD,4,4.3,863.71
+13029,4/17/2030,1782,Home,North,3,334.56,0.1,Wallet,5,3.2,903.31
+13030,4/18/2030,1009,Home,East,3,153.95,0.35,COD,6,3.6,300.2
+13031,4/19/2030,1983,Home,South,1,412.29,0.06,Wallet,5,4.1,387.55
+13032,4/20/2030,1377,Electronics,North,4,302.52,0.08,Card,5,1.4,1113.27
+13033,4/21/2030,1632,Electronics,North,7,466.61,0.1,COD,5,2.2,2939.64
+13034,4/22/2030,1636,Electronics,North,3,569.72,0.34,COD,9,1.7,1128.05
+13035,4/23/2030,1681,Home,North,2,82.75,0.35,COD,10,3,107.58
+13036,4/24/2030,1583,Electronics,South,2,210.78,0.28,Card,10,4.4,303.52
+13037,4/25/2030,1151,Clothing,North,2,201.94,0.22,Card,3,1.9,315.03
+13038,4/26/2030,1719,Beauty,West,5,103.44,0.18,Card,2,3.9,424.1
+13039,4/27/2030,1048,Beauty,West,4,489.03,0.34,Card,10,2.6,1291.04
+13040,4/28/2030,1153,Clothing,East,1,459.53,0.24,Card,2,4.6,349.24
+13041,4/29/2030,1858,Clothing,North,1,298.39,0.33,COD,8,3.5,199.92
+13042,4/30/2030,1292,Electronics,West,4,329.6,0.11,Wallet,5,4.9,1173.38
+13043,5/1/2030,1579,Home,West,6,49.83,0.12,COD,5,2,263.1
+13044,5/2/2030,1049,Home,West,7,339.97,0.3,Wallet,6,4.7,1665.85
+13045,5/3/2030,1663,Electronics,South,6,477.93,0.05,Wallet,9,2.4,2724.2
+13046,5/4/2030,1530,Clothing,North,5,350.69,0.33,Card,7,3.5,1174.81
+13047,5/5/2030,1611,Home,South,4,170.2,0.18,Card,5,1.7,558.26
+13048,5/6/2030,1059,Beauty,South,6,405.52,0.32,Card,5,4,1654.52
+13049,5/7/2030,1166,Electronics,West,7,226.47,0.12,Wallet,10,4.9,1395.06
+13050,5/8/2030,1201,Clothing,West,5,333.75,0.25,Card,9,4.1,1251.56
+13051,5/9/2030,1856,Electronics,East,3,300.23,0.17,COD,9,3.5,747.57
+13052,5/10/2030,1145,Electronics,North,3,237.99,0.22,Card,2,2.8,556.9
+13053,5/11/2030,1914,Beauty,North,5,435.54,0.18,Wallet,7,2.4,1785.71
+13054,5/12/2030,1675,Home,West,4,532.07,0.34,Card,10,2.7,1404.66
+13055,5/13/2030,1969,Home,West,3,18.05,0.24,Wallet,1,2.3,41.15
+13056,5/14/2030,1992,Electronics,North,4,561.17,0.09,Card,4,4.3,2042.66
+13057,5/15/2030,1438,Home,East,6,314.24,0.32,Card,2,4.6,1282.1
+13058,5/16/2030,1241,Clothing,West,3,424.93,0.1,COD,10,4.8,1147.31
+13059,5/17/2030,1580,Electronics,East,7,515.54,0.13,Wallet,9,2.7,3139.64
+13060,5/18/2030,1686,Clothing,South,7,288.26,0.04,COD,6,3.2,1937.11
+13061,5/19/2030,1560,Electronics,West,6,503.46,0.31,Wallet,4,3.3,2084.32
+13062,5/20/2030,1482,Home,South,7,118.91,0.1,COD,3,3.6,749.13
+13063,5/21/2030,1107,Clothing,West,4,108.11,0.09,COD,4,1,393.52
+13064,5/22/2030,1225,Electronics,South,4,399.62,0.32,Card,2,4.4,1086.97
+13065,5/23/2030,1672,Electronics,West,7,524.03,0.28,Card,5,2.1,2641.11
+13066,5/24/2030,1630,Electronics,East,2,537.07,0.05,Card,9,2.9,1020.43
+13067,5/25/2030,1660,Electronics,East,5,391.59,0.27,Wallet,6,4.4,1429.3
+13068,5/26/2030,1976,Clothing,East,1,322.41,0.32,Wallet,2,5,219.24
+13069,5/27/2030,1661,Home,South,5,208.86,0.03,COD,6,4.2,1012.97
+13070,5/28/2030,1431,Electronics,East,7,588.3,0.29,Card,9,1.1,2923.85
+13071,5/29/2030,1804,Electronics,South,4,202.02,0.19,Card,4,2.5,654.54
+13072,5/30/2030,1654,Clothing,West,4,450.35,0.23,Wallet,1,2,1387.08
+13073,5/31/2030,1418,Home,South,5,326.21,0.17,Card,2,4.9,1353.77
+13074,6/1/2030,1987,Electronics,West,4,370.98,0.24,Wallet,5,2.1,1127.78
+13075,6/2/2030,1454,Electronics,North,6,245.19,0.01,Card,10,4.8,1456.43
+13076,6/3/2030,1159,Clothing,North,3,579.42,0.27,Card,7,4.8,1268.93
+13077,6/4/2030,1522,Electronics,North,4,349.43,0.01,Wallet,8,4.4,1383.74
+13078,6/5/2030,1649,Electronics,South,7,563.61,0.16,Card,3,1.4,3314.03
+13079,6/6/2030,1968,Home,North,7,19.44,0.05,Card,9,1,129.28
+13080,6/7/2030,1589,Clothing,North,5,350.01,0.29,Wallet,2,4.2,1242.54
+13081,6/8/2030,1076,Clothing,North,5,434.55,0.11,COD,4,4.4,1933.75
+13082,6/9/2030,1508,Home,West,5,450.87,0.16,COD,4,4.8,1893.65
+13083,6/10/2030,1440,Home,East,7,544.41,0.15,COD,6,1.9,3239.24
+13084,6/11/2030,1253,Electronics,South,2,17.57,0.27,Card,10,3.9,25.65
+13085,6/12/2030,1920,Clothing,North,7,15.19,0.17,Card,6,3.1,88.25
+13086,6/13/2030,1769,Electronics,West,6,291.27,0.28,COD,3,2.3,1258.29
+13087,6/14/2030,1319,Electronics,East,7,32.14,0.03,Card,9,3.4,218.23
+13088,6/15/2030,1802,Home,East,6,585.1,0.07,Card,11,3.2,3264.86
+13089,6/16/2030,1262,Beauty,East,7,144.91,0.19,COD,5,2.2,821.64
+13090,6/17/2030,1596,Beauty,West,7,291.51,0.33,Card,2,2.1,1367.18
+13091,6/18/2030,1657,Clothing,North,2,50.77,0.03,COD,6,2.9,98.49
+13092,6/19/2030,1834,Electronics,East,6,320.4,0.02,Card,3,2.9,1883.95
+13093,6/20/2030,1553,Electronics,West,2,237.27,0.05,Card,8,2.2,450.81
+13094,6/21/2030,1373,Home,West,6,41.13,0.22,Card,3,2.1,192.49
+13095,6/22/2030,1636,Clothing,South,2,211.05,0.14,Wallet,5,4.8,363.01
+13096,6/23/2030,1166,Clothing,West,2,243.99,0.29,Card,4,4.4,346.47
+13097,6/24/2030,1936,Home,East,6,594.1,0.03,COD,4,4.3,3457.66
+13098,6/25/2030,1752,Home,East,2,136.61,0.07,COD,2,1.9,254.09
+13099,6/26/2030,1458,Home,West,7,333.7,0.11,Card,8,1.8,2078.95
+13100,6/27/2030,1998,Electronics,East,6,592.58,0.22,COD,3,4.2,2773.27
+13101,6/28/2030,1279,Home,West,2,478.33,0.24,Wallet,4,1.7,727.06
+13102,6/29/2030,1699,Beauty,East,7,596.12,0.04,COD,6,3,4005.93
+13103,6/30/2030,1301,Electronics,South,7,581.45,0.33,Card,9,1.9,2727
+13104,7/1/2030,1530,Clothing,North,5,301.38,0.12,COD,4,2.5,1326.07
+13105,7/2/2030,1579,Electronics,South,1,422.38,0.25,COD,3,4.4,316.78
+13106,7/3/2030,1217,Beauty,South,6,79.61,0.18,Card,5,4.6,391.68
+13107,7/4/2030,1101,Electronics,North,2,273.07,0.08,Card,9,5,502.45
+13108,7/5/2030,1553,Clothing,East,5,488.28,0.3,Card,1,4.8,1708.98
+13109,7/6/2030,1287,Electronics,North,1,310.62,0.29,Card,5,3.7,220.54
+13110,7/7/2030,1166,Home,West,2,426.08,0.14,Card,11,2.7,732.86
+13111,7/8/2030,1620,Electronics,North,1,451.26,0.21,COD,4,1.2,356.5
+13112,7/9/2030,1035,Electronics,South,6,163.28,0.09,Card,5,3.4,891.51
+13113,7/10/2030,1743,Clothing,North,7,527.28,0.24,Wallet,7,1.8,2805.13
+13114,7/11/2030,1740,Beauty,East,7,284,0.11,COD,7,4.4,1769.32
+13115,7/12/2030,1352,Electronics,South,1,137.96,0.3,Wallet,7,3.2,96.57
+13116,7/13/2030,1675,Electronics,West,7,521.27,0.08,COD,1,3.9,3356.98
+13117,7/14/2030,1898,Home,East,3,259.42,0.01,Card,9,3.7,770.48
+13118,7/15/2030,1072,Clothing,South,4,453.93,0.09,COD,7,2.4,1652.31
+13119,7/16/2030,1647,Beauty,West,7,335.6,0.07,Wallet,4,4,2184.76
+13120,7/17/2030,1352,Electronics,East,3,238.39,0.18,Card,4,4.4,586.44
+13121,7/18/2030,1890,Clothing,West,6,488.78,0.07,Card,2,4,2727.39
+13122,7/19/2030,1069,Electronics,North,6,356.91,0.27,Card,6,4.1,1563.27
+13123,7/20/2030,1424,Electronics,North,1,243.48,0.08,Card,10,2.4,224
+13124,7/21/2030,1998,Home,West,7,79.11,0.25,Card,3,4.8,415.33
+13125,7/22/2030,1707,Clothing,North,7,538.84,0.2,Card,1,2.7,3017.5
+13126,7/23/2030,1780,Home,West,7,35.75,0.35,Card,5,4.6,162.66
+13127,7/24/2030,1560,Electronics,East,5,519.96,0.35,COD,6,4.4,1689.87
+13128,7/25/2030,1827,Clothing,South,2,225.58,0.3,Card,11,1.5,315.81
+13129,7/26/2030,1641,Clothing,West,4,389.01,0.27,COD,5,4.9,1135.91
+13130,7/27/2030,1955,Beauty,South,7,554.49,0.14,COD,5,5,3338.03
+13131,7/28/2030,1516,Electronics,South,2,103.75,0.26,COD,10,3.4,153.55
+13132,7/29/2030,1427,Electronics,West,5,346.67,0.33,Card,11,4.1,1161.34
+13133,7/30/2030,1538,Clothing,North,6,462.19,0.01,COD,8,4.7,2745.41
+13134,7/31/2030,1159,Clothing,East,4,458.19,0.19,Card,10,1.1,1484.54
+13135,8/1/2030,1148,Electronics,South,3,322.49,0.08,Card,1,4.7,890.07
+13136,8/2/2030,1775,Beauty,East,6,380.47,0.2,COD,8,3.5,1826.26
+13137,8/3/2030,1229,Electronics,South,6,458.15,0.16,Card,11,4.3,2309.08
+13138,8/4/2030,1711,Beauty,West,1,507,0.2,Card,7,3.2,405.6
+13139,8/5/2030,1561,Electronics,North,5,460.66,0.19,Card,1,3.1,1865.67
+13140,8/6/2030,1066,Home,East,1,222.09,0.34,Card,9,4.6,146.58
+13141,8/7/2030,1811,Beauty,South,1,598.08,0.19,Card,4,3,484.44
+13142,8/8/2030,1380,Electronics,West,2,269.18,0.3,Wallet,7,2.9,376.85
+13143,8/9/2030,1057,Beauty,West,6,29.31,0.11,Card,3,3.4,156.52
+13144,8/10/2030,1258,Clothing,South,5,227.13,0.15,COD,8,3.1,965.3
+13145,8/11/2030,1341,Beauty,South,1,89.75,0.16,COD,4,2.8,75.39
+13146,8/12/2030,1837,Home,South,3,86.04,0.1,COD,2,1.7,232.31
+13147,8/13/2030,1129,Electronics,North,4,179.7,0.13,Wallet,2,2.6,625.36
+13148,8/14/2030,1726,Electronics,South,7,46.22,0.21,Wallet,8,2.1,255.6
+13149,8/15/2030,1171,Electronics,South,5,417.78,0.2,COD,8,2.6,1671.12
+13150,8/16/2030,1769,Electronics,North,2,58.28,0.22,Wallet,1,3.4,90.92
+13151,8/17/2030,1613,Electronics,West,5,133.92,0.12,Card,6,3.4,589.25
+13152,8/18/2030,1208,Electronics,South,6,69.35,0.11,COD,9,2,370.33
+13153,8/19/2030,1802,Clothing,East,2,51.95,0.21,Wallet,9,1.3,82.08
+13154,8/20/2030,1353,Home,West,4,171.63,0.05,COD,2,4,652.19
+13155,8/21/2030,1470,Electronics,East,3,349.56,0.09,Wallet,8,3.1,954.3
+13156,8/22/2030,1797,Electronics,South,1,579.34,0.01,Card,8,2.8,573.55
+13157,8/23/2030,1115,Clothing,North,5,527.2,0.03,Card,4,1.5,2556.92
+13158,8/24/2030,1263,Electronics,North,2,527.42,0.09,Wallet,4,2.7,959.9
+13159,8/25/2030,1661,Electronics,North,4,118,0.01,Card,5,4.3,467.28
+13160,8/26/2030,1811,Electronics,South,1,169.97,0.09,COD,11,3.3,154.67
+13161,8/27/2030,1441,Beauty,South,7,59.69,0.23,Card,10,1.4,321.73
+13162,8/28/2030,1547,Home,East,4,470.4,0.02,COD,7,2.3,1843.97
+13163,8/29/2030,1452,Clothing,North,3,55.84,0.15,Wallet,1,4.9,142.39
+13164,8/30/2030,1844,Home,South,1,340.67,0.32,Card,11,3.2,231.66
+13165,8/31/2030,1476,Clothing,West,1,160.01,0.28,Card,9,2.1,115.21
+13166,9/1/2030,1286,Home,South,7,157.42,0.11,Card,3,4.7,980.73
+13167,9/2/2030,1302,Home,South,1,594.57,0.32,Wallet,11,2.3,404.31
+13168,9/3/2030,1310,Clothing,West,2,457.72,0.12,COD,4,3.9,805.59
+13169,9/4/2030,1207,Electronics,North,1,504.61,0.03,Card,7,1.6,489.47
+13170,9/5/2030,1617,Electronics,West,4,349.61,0.35,Card,5,1.6,908.99
+13171,9/6/2030,1445,Clothing,North,2,524.54,0.3,Wallet,5,3.2,734.36
+13172,9/7/2030,1669,Beauty,West,1,392.61,0.16,Wallet,1,2,329.79
+13173,9/8/2030,1632,Clothing,East,4,568.51,0.23,Card,2,1.2,1751.01
+13174,9/9/2030,1054,Home,North,4,179.58,0.23,Card,5,4.7,553.11
+13175,9/10/2030,1911,Beauty,South,5,363.26,0.07,COD,2,1.2,1689.16
+13176,9/11/2030,1011,Electronics,East,4,418.73,0.07,COD,1,3.9,1557.68
+13177,9/12/2030,1656,Home,North,7,244.87,0.16,Wallet,10,2.3,1439.84
+13178,9/13/2030,1399,Home,North,6,529.63,0.32,COD,3,4.7,2160.89
+13179,9/14/2030,1907,Beauty,North,3,588.18,0,COD,11,4.9,1764.54
+13180,9/15/2030,1647,Beauty,West,1,303.86,0.27,COD,1,2.3,221.82
+13181,9/16/2030,1979,Home,North,7,243.52,0.02,Wallet,10,3.4,1670.55
+13182,9/17/2030,1514,Electronics,South,1,291.08,0.17,Card,8,4.1,241.6
+13183,9/18/2030,1655,Home,North,1,513.85,0.22,Card,8,1.5,400.8
+13184,9/19/2030,1541,Electronics,South,4,392.6,0.24,Card,8,3.8,1193.5
+13185,9/20/2030,1236,Home,South,4,41.19,0.02,Wallet,7,4.6,161.46
+13186,9/21/2030,1278,Beauty,South,1,332.17,0.15,COD,7,1.7,282.34
+13187,9/22/2030,1347,Clothing,East,6,25.12,0.2,Card,2,4.4,120.58
+13188,9/23/2030,1626,Clothing,South,2,470.44,0.02,COD,9,1.5,922.06
+13189,9/24/2030,1103,Clothing,West,2,207.06,0.05,Card,7,3.3,393.41
+13190,9/25/2030,1629,Clothing,North,3,291.12,0.23,Card,5,2.4,672.49
+13191,9/26/2030,1516,Electronics,West,5,482.23,0.18,Card,4,2.9,1977.14
+13192,9/27/2030,1979,Home,East,7,42.17,0.06,COD,8,2.2,277.48
+13193,9/28/2030,1871,Beauty,North,3,107.75,0.19,COD,5,2,261.83
+13194,9/29/2030,1247,Beauty,South,1,247.81,0.32,Wallet,6,4,168.51
+13195,9/30/2030,1363,Electronics,North,7,149.51,0.01,Wallet,4,1.9,1036.1
+13196,10/1/2030,1320,Beauty,East,1,212.67,0.22,Card,2,2.6,165.88
+13197,10/2/2030,1632,Home,East,1,598.93,0.03,COD,7,2.1,580.96
+13198,10/3/2030,1285,Electronics,West,5,497.87,0,Card,2,2,2489.35
+13199,10/4/2030,1148,Electronics,North,4,532.08,0.05,Card,11,3.5,2021.9
+13200,10/5/2030,1083,Electronics,North,5,563.18,0.15,Card,7,1.2,2393.51
+13201,10/6/2030,1965,Beauty,North,3,214.45,0.28,Card,7,4.2,463.21
+13202,10/7/2030,1405,Clothing,West,4,188.79,0.1,Card,1,3.2,679.64
+13203,10/8/2030,1977,Home,East,4,151.93,0.22,Card,10,4.3,474.02
+13204,10/9/2030,1455,Electronics,South,3,500.62,0.14,COD,10,1.9,1291.6
+13205,10/10/2030,1742,Home,North,4,412.54,0.08,Card,3,3.8,1518.15
+13206,10/11/2030,1799,Electronics,West,7,153.16,0.18,COD,3,2.7,879.14
+13207,10/12/2030,1160,Clothing,West,2,235.54,0.28,Card,11,1.3,339.18
+13208,10/13/2030,1783,Clothing,South,3,311.43,0.29,Card,6,4,663.35
+13209,10/14/2030,1459,Electronics,East,3,323.96,0.3,Card,11,4,680.32
+13210,10/15/2030,1549,Home,North,2,534.91,0.12,Card,3,2.1,941.44
+13211,10/16/2030,1499,Electronics,North,5,237.63,0.28,Card,9,4.7,855.47
+13212,10/17/2030,1737,Home,West,5,546.49,0.07,COD,5,4.1,2541.18
+13213,10/18/2030,1508,Clothing,East,5,273.2,0.26,COD,6,2.2,1010.84
+13214,10/19/2030,1653,Clothing,North,4,451.63,0.33,Card,6,2,1210.37
+13215,10/20/2030,1803,Electronics,South,2,559.2,0,Card,8,2.8,1118.4
+13216,10/21/2030,1480,Electronics,East,7,545.93,0.15,Wallet,10,2.2,3248.28
+13217,10/22/2030,1662,Beauty,East,3,48.32,0.23,Card,11,1.9,111.62
+13218,10/23/2030,1113,Electronics,West,3,135.34,0.25,Card,3,2.6,304.52
+13219,10/24/2030,1748,Home,West,3,293.99,0.06,COD,9,1.1,829.05
+13220,10/25/2030,1577,Beauty,North,4,267.46,0.34,COD,7,2.6,706.09
+13221,10/26/2030,1360,Electronics,West,4,389.92,0.22,COD,11,1.9,1216.55
+13222,10/27/2030,1340,Electronics,East,6,567.65,0.06,COD,6,2.1,3201.55
+13223,10/28/2030,1769,Home,North,7,80.76,0.01,Card,11,1.3,559.67
+13224,10/29/2030,1986,Beauty,North,5,279.34,0.27,Card,1,3.4,1019.59
+13225,10/30/2030,1760,Beauty,East,6,127.56,0.03,Card,4,2.9,742.4
+13226,10/31/2030,1968,Clothing,North,6,538.05,0.05,COD,5,4,3066.88
+13227,11/1/2030,1448,Home,South,4,579.28,0.2,Wallet,2,4.9,1853.7
+13228,11/2/2030,1842,Electronics,South,5,295.04,0.21,Card,1,1.5,1165.41
+13229,11/3/2030,1834,Beauty,North,5,75.85,0.24,Card,2,2.1,288.23
+13230,11/4/2030,1179,Beauty,West,3,474.4,0.14,Card,8,3.7,1223.95
+13231,11/5/2030,1701,Electronics,South,4,422.83,0.27,Card,10,1.9,1234.66
+13232,11/6/2030,1406,Electronics,North,5,222.48,0.34,Card,6,1.1,734.18
+13233,11/7/2030,1665,Electronics,South,6,534.13,0.09,COD,10,1.4,2916.35
+13234,11/8/2030,1195,Electronics,West,2,585.86,0.25,Wallet,2,2.7,878.79
+13235,11/9/2030,1465,Home,East,2,341.34,0.32,Card,9,2.7,464.22
+13236,11/10/2030,1310,Clothing,North,4,345.95,0.24,Card,8,4.9,1051.69
+13237,11/11/2030,1261,Electronics,North,3,189.05,0.24,Card,4,2.9,431.03
+13238,11/12/2030,1418,Electronics,North,3,356.94,0.08,Card,11,3.7,985.15
+13239,11/13/2030,1405,Beauty,North,5,272.19,0.19,Card,10,3,1102.37
+13240,11/14/2030,1938,Clothing,North,7,191.78,0.2,COD,7,2.1,1073.97
+13241,11/15/2030,1142,Clothing,North,4,54.3,0.25,Card,3,1.4,162.9
+13242,11/16/2030,1341,Electronics,West,7,162.83,0.35,Wallet,6,4.4,740.88
+13243,11/17/2030,1315,Beauty,East,2,130.74,0.01,COD,3,1.6,258.87
+13244,11/18/2030,1100,Home,West,6,332.09,0.02,COD,10,1.4,1952.69
+13245,11/19/2030,1243,Electronics,West,5,366.98,0.03,Card,3,1.9,1779.85
+13246,11/20/2030,1489,Electronics,East,6,371.01,0.26,COD,11,1,1647.28
+13247,11/21/2030,1011,Electronics,West,7,242.09,0.05,COD,9,1.3,1609.9
+13248,11/22/2030,1238,Electronics,South,5,261.42,0.22,Card,6,3.5,1019.54
+13249,11/23/2030,1560,Clothing,West,1,503.03,0.11,Card,8,2,447.7
+13250,11/24/2030,1041,Beauty,North,6,293.6,0.16,Wallet,4,2.4,1479.74
+13251,11/25/2030,1677,Clothing,South,4,592.85,0.08,Card,4,4.3,2181.69
+13252,11/26/2030,1593,Home,South,6,272.18,0.3,Card,8,4.1,1143.16
+13253,11/27/2030,1428,Clothing,East,6,395,0.21,Card,7,3,1872.3
+13254,11/28/2030,1802,Home,West,5,44.46,0.33,Card,5,3.5,148.94
+13255,11/29/2030,1157,Home,West,2,397.2,0.2,Card,2,1.3,635.52
+13256,11/30/2030,1215,Electronics,South,7,513.08,0.04,Card,6,4,3447.9
+13257,12/1/2030,1669,Clothing,West,1,566.34,0.06,COD,1,3.1,532.36
+13258,12/2/2030,1461,Clothing,West,6,598.43,0.35,Card,7,3.3,2333.88
+13259,12/3/2030,1133,Electronics,East,7,180.07,0.25,COD,9,3.7,945.37
+13260,12/4/2030,1066,Clothing,South,7,351.59,0.02,COD,5,3,2411.91
+13261,12/5/2030,1847,Clothing,North,2,278.67,0.25,Card,5,3.1,418
+13262,12/6/2030,1006,Beauty,South,3,344.83,0.14,COD,7,3,889.66
+13263,12/7/2030,1947,Clothing,East,1,107.11,0.11,COD,5,3,95.33
+13264,12/8/2030,1525,Home,East,1,515.85,0.05,COD,10,4,490.06
+13265,12/9/2030,1072,Clothing,East,7,547.1,0.29,COD,4,2.7,2719.09
+13266,12/10/2030,1398,Home,West,5,278.05,0.02,COD,1,1,1362.44
+13267,12/11/2030,1404,Clothing,South,6,179.05,0.1,Card,6,3.4,966.87
+13268,12/12/2030,1674,Beauty,West,3,97.39,0.11,COD,9,4.8,260.03
+13269,12/13/2030,1577,Clothing,West,5,415,0.06,Card,4,2,1950.5
+13270,12/14/2030,1858,Clothing,South,4,197.66,0.18,COD,10,4.3,648.32
+13271,12/15/2030,1129,Clothing,East,2,547.08,0,Card,11,2.8,1094.16
+13272,12/16/2030,1930,Clothing,North,2,407.54,0.11,Wallet,4,3.6,725.42
+13273,12/17/2030,1465,Electronics,North,5,392.73,0.33,COD,5,4.6,1315.65
+13274,12/18/2030,1205,Electronics,South,7,342.25,0.11,COD,6,4.1,2132.22
+13275,12/19/2030,1787,Electronics,South,2,41.78,0.13,COD,3,4.5,72.7
+13276,12/20/2030,1977,Beauty,East,6,560.17,0.17,Wallet,9,1,2789.65
+13277,12/21/2030,1767,Electronics,South,2,382.34,0.2,COD,1,1.7,611.74
+13278,12/22/2030,1265,Electronics,South,6,596.53,0.28,Card,11,2.7,2577.01
+13279,12/23/2030,1536,Home,East,4,329.35,0.07,Wallet,6,4.4,1225.18
+13280,12/24/2030,1961,Electronics,East,3,430.41,0.31,COD,6,4.4,890.95
+13281,12/25/2030,1792,Clothing,West,1,47.88,0.27,COD,8,1.7,34.95
+13282,12/26/2030,1252,Electronics,South,5,384.57,0.25,Wallet,5,1.6,1442.14
+13283,12/27/2030,1821,Beauty,North,5,462.32,0.03,Card,9,4.3,2242.25
+13284,12/28/2030,1288,Beauty,South,6,470.43,0.01,Card,9,3.2,2794.35
+13285,12/29/2030,1163,Beauty,North,4,465.52,0.21,COD,2,3.5,1471.04
+13286,12/30/2030,1094,Clothing,North,4,147.38,0.3,COD,5,4.2,412.66
+13287,12/31/2030,1781,Home,North,7,585.61,0.2,Card,7,1.8,3279.42
+13288,1/1/2031,1832,Electronics,West,1,597.18,0.07,COD,2,1.5,555.38
+13289,1/2/2031,1109,Electronics,East,3,59.22,0.03,COD,7,4.4,172.33
+13290,1/3/2031,1335,Electronics,East,5,562.82,0.24,COD,9,1.4,2138.72
+13291,1/4/2031,1821,Clothing,West,6,184.33,0.25,Wallet,8,1.4,829.48
+13292,1/5/2031,1237,Clothing,East,4,418.23,0.06,Card,10,2.1,1572.54
+13293,1/6/2031,1380,Clothing,West,5,212.79,0.01,COD,9,2.3,1053.31
+13294,1/7/2031,1435,Electronics,South,6,581.14,0.14,COD,4,2,2998.68
+13295,1/8/2031,1898,Clothing,West,2,74.38,0.2,Card,8,4,119.01
+13296,1/9/2031,1482,Home,East,5,306.18,0.25,Card,9,4.9,1148.18
+13297,1/10/2031,1936,Clothing,East,3,265.41,0.28,Card,10,1.8,573.29
+13298,1/11/2031,1901,Home,South,6,205.72,0.21,COD,2,4.1,975.11
+13299,1/12/2031,1024,Electronics,West,3,392.64,0.04,Card,10,1.2,1130.8
+13300,1/13/2031,1652,Home,South,5,91.67,0.24,Card,3,1.5,348.35
+13301,1/14/2031,1116,Clothing,North,2,434.25,0.34,Card,1,3.1,573.21
+13302,1/15/2031,1481,Electronics,West,3,588.65,0.32,COD,1,5,1200.85
+13303,1/16/2031,1391,Electronics,South,4,485.67,0.31,COD,10,4.8,1340.45
+13304,1/17/2031,1916,Clothing,South,6,518.11,0.11,COD,6,1.4,2766.71
+13305,1/18/2031,1993,Home,East,5,225.39,0.26,Card,1,2,833.94
+13306,1/19/2031,1963,Clothing,West,2,205.06,0.3,COD,5,4.8,287.08
+13307,1/20/2031,1536,Electronics,North,4,317.47,0.24,COD,6,1.6,965.11
+13308,1/21/2031,1078,Beauty,North,5,41.75,0.09,Card,9,4,189.96
+13309,1/22/2031,1579,Home,West,7,568.03,0.33,Card,6,1,2664.06
+13310,1/23/2031,1172,Clothing,West,2,99.11,0.16,Wallet,4,3.5,166.5
+13311,1/24/2031,1955,Clothing,South,4,543.26,0.05,COD,1,3,2064.39
+13312,1/25/2031,1011,Electronics,East,3,63.9,0.04,COD,6,2.9,184.03
+13313,1/26/2031,1799,Clothing,East,5,496.24,0.23,Card,7,4.3,1910.52
+13314,1/27/2031,1127,Clothing,East,5,103.9,0.15,Wallet,5,1.3,441.58
+13315,1/28/2031,1607,Beauty,West,3,37.31,0.03,COD,6,2.5,108.57
+13316,1/29/2031,1091,Clothing,East,7,435.9,0.26,Wallet,10,2.8,2257.96
+13317,1/30/2031,1652,Clothing,South,1,178.96,0.28,Wallet,8,1.5,128.85
+13318,1/31/2031,1542,Clothing,West,4,432.98,0.25,Wallet,1,1.3,1298.94
+13319,2/1/2031,1845,Beauty,West,3,339.72,0.07,Wallet,8,1.7,947.82
+13320,2/2/2031,1531,Home,East,5,78.65,0.24,Card,11,2,298.87
+13321,2/3/2031,1657,Clothing,North,4,560.3,0,Wallet,2,4.9,2241.2
+13322,2/4/2031,1988,Home,North,7,279.6,0.11,Card,2,2.9,1741.91
+13323,2/5/2031,1827,Clothing,South,4,444.65,0.14,Wallet,8,3,1529.6
+13324,2/6/2031,1446,Clothing,East,1,308.1,0.29,Card,2,3.8,218.75
+13325,2/7/2031,1389,Electronics,East,5,368.55,0.14,COD,8,3.7,1584.76
+13326,2/8/2031,1671,Clothing,West,2,192.12,0,Card,5,3,384.24
+13327,2/9/2031,1860,Electronics,West,1,132.21,0.12,COD,9,2.4,116.34
+13328,2/10/2031,1042,Beauty,East,1,332.4,0.17,Card,9,2.3,275.89
+13329,2/11/2031,1253,Electronics,West,2,272.53,0.33,Card,8,1.2,365.19
+13330,2/12/2031,1129,Beauty,East,2,243.22,0.33,Wallet,9,4.6,325.91
+13331,2/13/2031,1059,Clothing,South,7,408.45,0.06,COD,7,4.1,2687.6
+13332,2/14/2031,1662,Clothing,West,7,418.95,0.06,Card,8,3.5,2756.69
+13333,2/15/2031,1466,Clothing,East,1,41.86,0.06,Card,6,2.6,39.35
+13334,2/16/2031,1286,Electronics,West,4,213.17,0.28,Card,9,3.3,613.93
+13335,2/17/2031,1516,Clothing,South,3,255.88,0,COD,2,2.9,767.64
+13336,2/18/2031,1466,Electronics,West,3,71.68,0.04,Wallet,3,2.1,206.44
+13337,2/19/2031,1929,Clothing,East,1,153,0.19,COD,2,2.2,123.93
+13338,2/20/2031,1777,Clothing,West,4,45.21,0.09,Card,6,4.5,164.56
+13339,2/21/2031,1344,Home,West,2,597.8,0.03,Card,3,3.5,1159.73
+13340,2/22/2031,1641,Electronics,East,6,445.89,0.13,Wallet,11,1,2327.55
+13341,2/23/2031,1381,Electronics,North,1,66.16,0.1,Card,1,2.3,59.54
+13342,2/24/2031,1778,Clothing,West,5,26.85,0.18,COD,4,2.4,110.08
+13343,2/25/2031,1689,Beauty,West,4,435.78,0.34,Card,5,3.8,1150.46
+13344,2/26/2031,1252,Home,South,5,271.93,0.04,COD,11,3.8,1305.26
+13345,2/27/2031,1926,Clothing,North,5,475.28,0.13,Wallet,4,2.9,2067.47
+13346,2/28/2031,1055,Clothing,South,1,555.23,0.33,Card,6,4.8,372
+13347,3/1/2031,1462,Electronics,East,4,365.59,0.31,COD,3,4.5,1009.03
+13348,3/2/2031,1456,Beauty,East,5,124.46,0.14,COD,10,4.5,535.18
+13349,3/3/2031,1982,Home,South,7,472.58,0.24,Card,6,2.4,2514.13
+13350,3/4/2031,1082,Electronics,West,7,574.15,0.03,Card,10,2.7,3898.48
+13351,3/5/2031,1904,Clothing,North,4,354.44,0.25,COD,1,2.7,1063.32
+13352,3/6/2031,1098,Electronics,South,3,413.97,0.34,Card,6,2.8,819.66
+13353,3/7/2031,1148,Beauty,South,6,212.42,0.19,Wallet,8,4.6,1032.36
+13354,3/8/2031,1328,Electronics,East,5,238.19,0.17,Card,10,2,988.49
+13355,3/9/2031,1155,Clothing,West,5,444.77,0.07,Card,8,4.2,2068.18
+13356,3/10/2031,1189,Electronics,North,4,557.75,0.22,Card,1,3.1,1740.18
+13357,3/11/2031,1493,Home,South,7,382.96,0.21,Card,7,2,2117.77
+13358,3/12/2031,1882,Home,North,6,477.06,0.23,COD,10,3.1,2204.02
+13359,3/13/2031,1262,Home,North,3,115.41,0.01,Card,10,1.8,342.77
+13360,3/14/2031,1079,Clothing,South,5,139,0.19,COD,4,1.4,562.95
+13361,3/15/2031,1399,Beauty,North,1,326.24,0.21,Wallet,6,4.4,257.73
+13362,3/16/2031,1763,Electronics,East,7,118.28,0.07,COD,6,3.8,770
+13363,3/17/2031,1608,Electronics,West,4,386.47,0.07,Card,5,1.8,1437.67
+13364,3/18/2031,1259,Electronics,West,4,185.62,0.1,Wallet,10,4.8,668.23
+13365,3/19/2031,1771,Beauty,West,7,478.05,0.25,Card,9,1.1,2509.76
+13366,3/20/2031,1614,Clothing,East,5,487.74,0.21,COD,11,2.3,1926.57
+13367,3/21/2031,1551,Home,East,3,286.32,0.3,Card,10,1.1,601.27
+13368,3/22/2031,1784,Home,East,5,120.77,0.1,Card,8,1.6,543.46
+13369,3/23/2031,1100,Electronics,West,7,393.36,0.32,Wallet,6,1.7,1872.39
+13370,3/24/2031,1358,Electronics,North,2,595.78,0.26,Card,4,4.2,881.75
+13371,3/25/2031,1379,Electronics,East,5,379.22,0.14,COD,4,5,1630.65
+13372,3/26/2031,1819,Clothing,South,6,35.93,0.03,Card,9,4.5,209.11
+13373,3/27/2031,1220,Electronics,East,7,25.12,0.09,COD,4,3.5,160.01
+13374,3/28/2031,1819,Electronics,South,6,202.41,0.33,COD,7,3.9,813.69
+13375,3/29/2031,1419,Beauty,West,7,129.53,0.11,Card,6,3.1,806.97
+13376,3/30/2031,1123,Beauty,South,2,490.63,0.12,COD,2,2.7,863.51
+13377,3/31/2031,1421,Electronics,East,6,509.21,0.07,COD,5,3.8,2841.39
+13378,4/1/2031,1230,Electronics,East,6,166.29,0.28,COD,3,4.9,718.37
+13379,4/2/2031,1689,Electronics,North,1,205.5,0.1,COD,9,1.1,184.95
+13380,4/3/2031,1062,Home,West,4,153.2,0.12,COD,10,2.3,539.26
+13381,4/4/2031,1484,Home,South,6,546.4,0.15,Card,1,2.3,2786.64
+13382,4/5/2031,1627,Electronics,West,4,309.05,0.15,COD,10,2.7,1050.77
+13383,4/6/2031,1702,Electronics,East,7,398.84,0.14,COD,4,3.5,2401.02
+13384,4/7/2031,1573,Home,North,3,258.06,0.18,Card,4,3.1,634.83
+13385,4/8/2031,1767,Clothing,East,5,384.14,0.29,Wallet,9,1.1,1363.7
+13386,4/9/2031,1482,Electronics,East,1,240.73,0.29,Card,1,2.6,170.92
+13387,4/10/2031,1518,Clothing,East,7,213.71,0.28,Card,2,3.5,1077.1
+13388,4/11/2031,1154,Electronics,South,2,386.17,0.04,Card,1,3,741.45
+13389,4/12/2031,1091,Clothing,East,3,360.77,0.28,Card,1,4.5,779.26
+13390,4/13/2031,1981,Home,West,1,186.71,0.04,Card,1,2.6,179.24
+13391,4/14/2031,1525,Home,West,1,102.37,0.04,Wallet,3,1.1,98.28
+13392,4/15/2031,1454,Clothing,North,7,230.62,0.33,Card,11,2.1,1081.61
+13393,4/16/2031,1740,Beauty,West,2,257.89,0.29,COD,4,1.5,366.2
+13394,4/17/2031,1597,Clothing,East,2,382.78,0.19,Card,10,2,620.1
+13395,4/18/2031,1644,Home,East,4,550,0.31,COD,2,2.4,1518
+13396,4/19/2031,1509,Clothing,West,5,36.17,0.35,Wallet,1,3.7,117.55
+13397,4/20/2031,1182,Beauty,North,7,157.54,0.21,Card,5,2.3,871.2
+13398,4/21/2031,1385,Beauty,North,3,128.32,0.21,Wallet,6,4.5,304.12
+13399,4/22/2031,1573,Electronics,West,5,308.84,0.26,Wallet,2,2.2,1142.71
+13400,4/23/2031,1730,Beauty,South,3,266.37,0.08,COD,3,1.5,735.18
+13401,4/24/2031,1404,Home,South,1,441.49,0.06,Card,10,1.7,415
+13402,4/25/2031,1245,Home,South,6,156.81,0.27,COD,3,4.7,686.83
+13403,4/26/2031,1741,Electronics,South,6,362.78,0.12,Wallet,2,2.8,1915.48
+13404,4/27/2031,1590,Home,West,7,532.06,0.05,Card,4,2.6,3538.2
+13405,4/28/2031,1660,Beauty,North,2,547.75,0.11,COD,5,1.3,975
+13406,4/29/2031,1649,Electronics,East,2,575.89,0.13,Card,8,3.9,1002.05
+13407,4/30/2031,1470,Beauty,East,1,467.36,0.34,Card,6,3.8,308.46
+13408,5/1/2031,1825,Electronics,West,1,545,0.24,Wallet,9,2.5,414.2
+13409,5/2/2031,1887,Electronics,East,3,152.2,0.19,Card,3,3.8,369.85
+13410,5/3/2031,1422,Clothing,South,1,130.58,0.34,Card,10,2.5,86.18
+13411,5/4/2031,1900,Clothing,North,7,18.8,0.32,COD,9,1.3,89.49
+13412,5/5/2031,1064,Clothing,West,3,428.5,0.18,Card,11,4,1054.11
+13413,5/6/2031,1012,Electronics,North,5,563.42,0.32,Card,11,4.9,1915.63
+13414,5/7/2031,1212,Beauty,West,2,124.36,0.14,COD,4,3.6,213.9
+13415,5/8/2031,1985,Electronics,West,2,387.61,0.08,Card,8,2.1,713.2
+13416,5/9/2031,1241,Electronics,West,6,451.68,0.08,Card,10,2.1,2493.27
+13417,5/10/2031,1492,Electronics,West,6,557.65,0.23,Card,7,4.7,2576.34
+13418,5/11/2031,1212,Clothing,North,7,393.41,0.18,COD,7,2.2,2258.17
+13419,5/12/2031,1692,Beauty,East,2,582.62,0.23,Wallet,9,4.1,897.23
+13420,5/13/2031,1337,Home,West,7,216.63,0.24,Wallet,10,3.6,1152.47
+13421,5/14/2031,1996,Home,South,5,219.71,0.01,Card,2,3.4,1087.56
+13422,5/15/2031,1172,Electronics,West,5,332.66,0.02,COD,5,1.7,1630.03
+13423,5/16/2031,1671,Clothing,North,4,239.35,0.19,Wallet,3,1.1,775.49
+13424,5/17/2031,1163,Clothing,West,3,15.83,0.07,Card,7,3,44.17
+13425,5/18/2031,1464,Clothing,South,6,443.09,0.22,Wallet,3,5,2073.66
+13426,5/19/2031,1994,Electronics,North,3,454.75,0.19,Wallet,5,1.8,1105.04
+13427,5/20/2031,1496,Home,West,6,451.98,0.21,Card,5,3.1,2142.39
+13428,5/21/2031,1699,Clothing,South,4,216.84,0.11,Card,2,3.7,771.95
+13429,5/22/2031,1394,Home,North,2,320.54,0.22,Card,11,2.9,500.04
+13430,5/23/2031,1702,Clothing,West,7,225.58,0.29,Card,1,3,1121.13
+13431,5/24/2031,1916,Electronics,South,3,24.38,0.35,Wallet,6,3.6,47.54
+13432,5/25/2031,1307,Clothing,North,6,344.03,0.29,Wallet,1,4.3,1465.57
+13433,5/26/2031,1767,Electronics,West,3,87.4,0.2,Card,9,2.3,209.76
+13434,5/27/2031,1182,Beauty,North,2,61.82,0.07,COD,10,4.6,114.99
+13435,5/28/2031,1628,Clothing,South,7,456.97,0.24,COD,5,2.9,2431.08
+13436,5/29/2031,1793,Electronics,West,1,20.56,0.33,Card,1,3.6,13.78
+13437,5/30/2031,1509,Beauty,West,6,576.02,0.07,COD,8,1.4,3214.19
+13438,5/31/2031,1707,Clothing,West,1,316.42,0.09,Wallet,1,3,287.94
+13439,6/1/2031,1545,Electronics,South,4,590.06,0.05,Card,4,1.1,2242.23
+13440,6/2/2031,1563,Clothing,East,7,48.93,0.26,Card,7,2.6,253.46
+13441,6/3/2031,1623,Electronics,West,5,356.36,0.14,Card,4,1.2,1532.35
+13442,6/4/2031,1763,Home,South,3,219.36,0.02,Card,5,4.6,644.92
+13443,6/5/2031,1593,Home,North,6,508.44,0.31,Card,7,3.7,2104.94
+13444,6/6/2031,1743,Beauty,North,3,226.32,0.2,Card,4,4.2,543.17
+13445,6/7/2031,1226,Clothing,South,4,167.39,0.12,COD,5,2.9,589.21
+13446,6/8/2031,1744,Clothing,East,4,516.67,0.12,COD,7,4.4,1818.68
+13447,6/9/2031,1732,Home,South,3,234.17,0.1,Card,1,4.5,632.26
+13448,6/10/2031,1435,Electronics,North,6,24.85,0.16,Card,3,2.4,125.24
+13449,6/11/2031,1924,Clothing,North,7,243.32,0.12,Wallet,1,2.5,1498.85
+13450,6/12/2031,1421,Clothing,West,2,397.9,0.19,Wallet,3,3,644.6
+13451,6/13/2031,1553,Electronics,East,7,163.8,0.27,Card,11,1.2,837.02
+13452,6/14/2031,1020,Clothing,South,2,267.71,0.24,Card,2,5,406.92
+13453,6/15/2031,1553,Beauty,North,5,48.18,0.1,Wallet,5,2.4,216.81
+13454,6/16/2031,1396,Beauty,North,7,359.03,0.19,Card,10,2.9,2035.7
+13455,6/17/2031,1624,Electronics,North,3,457.43,0.29,Card,5,4,974.33
+13456,6/18/2031,1104,Electronics,South,3,256.79,0.02,Card,10,2.2,754.96
+13457,6/19/2031,1191,Electronics,South,6,260.84,0.03,Card,9,1.8,1518.09
+13458,6/20/2031,1016,Beauty,East,3,66.65,0.19,Card,8,1.5,161.96
+13459,6/21/2031,1119,Electronics,West,6,133.14,0.22,Card,3,3.1,623.1
+13460,6/22/2031,1392,Home,West,3,105.49,0.07,COD,1,1,294.32
+13461,6/23/2031,1424,Electronics,West,4,296.79,0.26,Wallet,5,3.8,878.5
+13462,6/24/2031,1128,Clothing,North,1,324.61,0.23,Wallet,11,2.8,249.95
+13463,6/25/2031,1129,Clothing,West,3,570.13,0.32,Card,3,3.1,1163.07
+13464,6/26/2031,1571,Home,North,1,57.84,0.06,Card,5,2.1,54.37
+13465,6/27/2031,1559,Electronics,East,2,365.92,0.26,COD,9,1.7,541.56
+13466,6/28/2031,1028,Clothing,North,5,323,0.03,COD,11,3.8,1566.55
+13467,6/29/2031,1096,Electronics,East,7,317,0.2,Card,1,1.8,1775.2
+13468,6/30/2031,1009,Home,East,7,525.8,0.19,Card,1,4.1,2981.29
+13469,7/1/2031,1241,Beauty,West,2,135.24,0.14,Card,9,1.8,232.61
+13470,7/2/2031,1825,Electronics,West,3,38.85,0.3,Card,3,3.5,81.59
+13471,7/3/2031,1955,Beauty,North,7,408.28,0,Card,10,3.6,2857.96
+13472,7/4/2031,1231,Clothing,South,6,216.92,0.18,Wallet,5,3,1067.25
+13473,7/5/2031,1788,Electronics,West,2,25.29,0.08,Card,9,5,46.53
+13474,7/6/2031,1283,Clothing,West,4,162.05,0.26,Wallet,11,2.5,479.67
+13475,7/7/2031,1714,Electronics,South,1,195.96,0.02,Wallet,5,4.5,192.04
+13476,7/8/2031,1758,Home,South,6,375.85,0.29,Card,3,1.7,1601.12
+13477,7/9/2031,1801,Home,West,7,115.96,0.29,COD,9,2.3,576.32
+13478,7/10/2031,1775,Electronics,South,6,256.64,0.29,COD,7,1.6,1093.29
+13479,7/11/2031,1954,Clothing,North,3,297.25,0.05,Card,7,3.4,847.16
+13480,7/12/2031,1725,Home,East,4,283.65,0.22,Card,8,3.6,884.99
+13481,7/13/2031,1199,Beauty,East,1,584.76,0.01,COD,11,2.8,578.91
+13482,7/14/2031,1944,Clothing,West,4,41.62,0.3,COD,5,3.9,116.54
+13483,7/15/2031,1078,Beauty,West,2,571.32,0.25,COD,2,4.5,856.98
+13484,7/16/2031,1912,Clothing,North,3,355.43,0.19,COD,11,4.1,863.69
+13485,7/17/2031,1955,Clothing,South,6,480.5,0.26,Card,9,2,2133.42
+13486,7/18/2031,1854,Home,West,6,266.78,0.03,COD,3,2.3,1552.66
+13487,7/19/2031,1855,Clothing,East,2,280.5,0.19,Card,11,2.5,454.41
+13488,7/20/2031,1172,Clothing,North,6,529.41,0.1,COD,2,1.8,2858.81
+13489,7/21/2031,1466,Clothing,North,5,539.12,0.34,Wallet,10,2.4,1779.1
+13490,7/22/2031,1580,Home,South,3,154.63,0.3,COD,10,2,324.72
+13491,7/23/2031,1415,Home,West,2,131.56,0.26,COD,5,5,194.71
+13492,7/24/2031,1939,Clothing,West,3,305.3,0.33,COD,8,4.1,613.65
+13493,7/25/2031,1448,Electronics,North,1,541.66,0.12,COD,3,4.4,476.66
+13494,7/26/2031,1086,Clothing,East,3,203.58,0.32,COD,6,4.7,415.3
+13495,7/27/2031,1100,Clothing,West,3,396.43,0.11,Card,9,3.7,1058.47
+13496,7/28/2031,1007,Electronics,East,1,429.27,0.26,Wallet,2,1.7,317.66
+13497,7/29/2031,1844,Home,North,2,470.52,0.26,Card,8,4,696.37
+13498,7/30/2031,1199,Clothing,West,3,344.9,0.01,Card,10,1.1,1024.35
+13499,7/31/2031,1504,Electronics,East,4,250.44,0.13,Card,7,1.5,871.53
+13500,8/1/2031,1086,Electronics,North,3,580.7,0.01,Card,3,1.1,1724.68
+13501,8/2/2031,1042,Electronics,East,2,372.63,0.35,COD,1,1.5,484.42
+13502,8/3/2031,1384,Beauty,West,6,441.21,0.04,Card,6,4,2541.37
+13503,8/4/2031,1620,Electronics,South,7,216.81,0.19,Wallet,2,4.5,1229.31
+13504,8/5/2031,1434,Electronics,East,1,406.92,0.28,Card,3,2.1,292.98
+13505,8/6/2031,1407,Clothing,South,6,165.81,0.07,Card,5,1.5,925.22
+13506,8/7/2031,1482,Electronics,West,2,158.38,0.17,Card,11,2.1,262.91
+13507,8/8/2031,1663,Electronics,South,5,433.11,0.21,COD,8,3.6,1710.78
+13508,8/9/2031,1016,Electronics,North,7,320.02,0.06,Wallet,2,2.4,2105.73
+13509,8/10/2031,1644,Clothing,South,6,414.72,0.27,COD,6,4.8,1816.47
+13510,8/11/2031,1147,Clothing,East,3,172.62,0.1,Card,1,1.5,466.07
+13511,8/12/2031,1276,Clothing,East,7,365.25,0.07,Wallet,7,5,2377.78
+13512,8/13/2031,1231,Clothing,South,3,274.7,0.2,Card,4,1,659.28
+13513,8/14/2031,1825,Beauty,North,1,364.22,0.14,COD,1,2.8,313.23
+13514,8/15/2031,1926,Clothing,West,3,185.16,0.32,Card,9,2,377.73
+13515,8/16/2031,1365,Electronics,South,7,433.54,0.31,Card,9,3.3,2094
+13516,8/17/2031,1227,Electronics,East,4,486.47,0.17,Card,11,1.4,1615.08
+13517,8/18/2031,1650,Clothing,East,4,167.05,0.13,Card,3,4.5,581.33
+13518,8/19/2031,1435,Home,South,6,190.86,0.11,Wallet,6,1.5,1019.19
+13519,8/20/2031,1398,Electronics,South,2,401.78,0.09,COD,7,3.3,731.24
+13520,8/21/2031,1210,Home,South,1,421.92,0.19,Wallet,4,1.1,341.76
+13521,8/22/2031,1390,Electronics,West,5,426.9,0.28,COD,6,2.2,1536.84
+13522,8/23/2031,1498,Clothing,East,6,414.38,0.11,COD,9,1.6,2212.79
+13523,8/24/2031,1539,Home,East,2,244.79,0.07,COD,10,4.9,455.31
+13524,8/25/2031,1562,Electronics,East,1,245.99,0.17,Wallet,6,1,204.17
+13525,8/26/2031,1490,Clothing,West,7,164.07,0.02,Card,7,2.4,1125.52
+13526,8/27/2031,1441,Electronics,North,1,106.75,0.25,Card,6,2.2,80.06
+13527,8/28/2031,1260,Home,East,7,420.16,0.18,COD,7,3.6,2411.72
+13528,8/29/2031,1772,Electronics,East,6,69.52,0.17,Wallet,1,1.2,346.21
+13529,8/30/2031,1349,Beauty,North,2,563.61,0.11,Wallet,6,4.2,1003.23
+13530,8/31/2031,1351,Electronics,West,2,498.61,0.32,COD,9,2.9,678.11
+13531,9/1/2031,1519,Beauty,North,3,516.64,0.03,Card,11,2.8,1503.42
+13532,9/2/2031,1319,Clothing,North,5,545.4,0.3,Card,3,1.9,1908.9
+13533,9/3/2031,1137,Home,North,4,254.03,0.13,Wallet,6,3,884.02
+13534,9/4/2031,1549,Electronics,North,3,510.32,0.31,Card,4,2.5,1056.36
+13535,9/5/2031,1622,Beauty,West,1,107.47,0.26,Card,7,2,79.53
+13536,9/6/2031,1991,Electronics,West,5,27.66,0.04,Wallet,7,1.7,132.77
+13537,9/7/2031,1367,Electronics,North,5,474.16,0.29,Card,9,3.9,1683.27
+13538,9/8/2031,1219,Clothing,South,2,58.76,0.24,COD,4,1.6,89.32
+13539,9/9/2031,1336,Electronics,South,5,593.29,0.01,COD,8,1.7,2936.79
+13540,9/10/2031,1222,Electronics,South,6,409.76,0.05,Card,8,3.3,2335.63
+13541,9/11/2031,1647,Beauty,South,5,455.77,0.22,Card,8,1.9,1777.5
+13542,9/12/2031,1767,Beauty,East,1,158.8,0.23,Card,8,2.8,122.28
+13543,9/13/2031,1359,Clothing,West,6,409.21,0.26,COD,6,3.2,1816.89
+13544,9/14/2031,1920,Beauty,West,6,40.28,0.25,COD,8,2.1,181.26
+13545,9/15/2031,1328,Clothing,North,3,505.13,0.23,Card,6,2.4,1166.85
+13546,9/16/2031,1961,Electronics,East,5,114.23,0.27,Wallet,10,1.8,416.94
+13547,9/17/2031,1462,Home,North,2,422.95,0.2,Card,2,2.8,676.72
+13548,9/18/2031,1945,Home,North,7,146.32,0.09,Card,3,5,932.06
+13549,9/19/2031,1962,Beauty,West,3,55.05,0.32,Card,6,2.5,112.3
+13550,9/20/2031,1560,Electronics,East,2,296.67,0.01,Card,7,3.6,587.41
+13551,9/21/2031,1803,Home,South,5,114.03,0.13,Wallet,4,3.5,496.03
+13552,9/22/2031,1381,Electronics,West,3,441.72,0.26,Card,1,4.1,980.62
+13553,9/23/2031,1835,Electronics,East,5,153.98,0.15,Card,4,3.8,654.42
+13554,9/24/2031,1589,Electronics,East,1,215.35,0.01,Wallet,6,1,213.2
+13555,9/25/2031,1616,Beauty,West,3,346.95,0.02,COD,8,2.2,1020.03
+13556,9/26/2031,1168,Home,West,2,181.71,0.23,Card,4,4.5,279.83
+13557,9/27/2031,1216,Home,North,1,236.12,0.34,Wallet,10,3.2,155.84
+13558,9/28/2031,1377,Clothing,North,4,492.14,0.19,COD,1,1.4,1594.53
+13559,9/29/2031,1118,Electronics,North,2,119.84,0.18,Card,5,2.1,196.54
+13560,9/30/2031,1189,Electronics,South,7,63.09,0.11,COD,7,2.1,393.05
+13561,10/1/2031,1766,Electronics,West,5,207.09,0.09,Wallet,6,4.5,942.26
+13562,10/2/2031,1369,Clothing,East,2,263.26,0.01,COD,3,3.2,521.25
+13563,10/3/2031,1777,Home,West,4,332.46,0.1,COD,7,3.4,1196.86
+13564,10/4/2031,1148,Clothing,East,2,232.87,0.16,Wallet,4,2.5,391.22
+13565,10/5/2031,1675,Electronics,South,1,477.1,0.07,COD,5,1.2,443.7
+13566,10/6/2031,1651,Electronics,West,6,38,0.03,Card,11,1.3,221.16
+13567,10/7/2031,1858,Electronics,East,2,267.58,0.25,Card,7,2.7,401.37
+13568,10/8/2031,1487,Clothing,East,3,238.62,0.31,COD,2,1.7,493.94
+13569,10/9/2031,1769,Beauty,North,7,393.83,0.33,Card,4,1.4,1847.06
+13570,10/10/2031,1373,Clothing,South,4,580.27,0.22,Wallet,4,2,1810.44
+13571,10/11/2031,1780,Home,West,2,313.57,0.02,Card,6,4,614.6
+13572,10/12/2031,1692,Clothing,North,4,592.32,0.26,COD,11,1.3,1753.27
+13573,10/13/2031,1159,Clothing,South,6,191.82,0.04,COD,7,2.8,1104.88
+13574,10/14/2031,1350,Electronics,North,1,33.06,0.23,COD,4,4.3,25.46
+13575,10/15/2031,1911,Beauty,West,3,111.91,0.27,Card,10,2.1,245.08
+13576,10/16/2031,1287,Home,East,5,246.15,0.25,Card,1,2.2,923.06
+13577,10/17/2031,1287,Electronics,West,2,200.06,0.33,COD,1,4.5,268.08
+13578,10/18/2031,1891,Clothing,South,1,71.78,0.26,Wallet,5,3.6,53.12
+13579,10/19/2031,1225,Clothing,West,4,268.11,0.24,COD,1,4.2,815.05
+13580,10/20/2031,1522,Clothing,South,6,212.8,0.09,Card,3,2.2,1161.89
+13581,10/21/2031,1521,Beauty,North,7,86.73,0.32,Card,9,5,412.83
+13582,10/22/2031,1782,Clothing,South,4,188.23,0.06,Wallet,3,1.6,707.74
+13583,10/23/2031,1272,Clothing,East,7,533.57,0.32,Wallet,3,4.8,2539.79
+13584,10/24/2031,1935,Electronics,East,6,191.7,0.11,Card,9,4.6,1023.68
+13585,10/25/2031,1401,Electronics,East,7,432.66,0.05,COD,5,3.2,2877.19
+13586,10/26/2031,1182,Electronics,North,6,373.05,0.29,Card,8,3.3,1589.19
+13587,10/27/2031,1968,Electronics,South,1,264.9,0,COD,10,4.1,264.9
+13588,10/28/2031,1664,Home,North,2,154.83,0.29,Wallet,9,2.2,219.86
+13589,10/29/2031,1487,Home,West,5,230.87,0.09,Card,6,3.1,1050.46
+13590,10/30/2031,1826,Electronics,West,2,361.38,0.31,COD,7,4.6,498.7
+13591,10/31/2031,1845,Home,West,3,220.19,0.24,Card,7,1.3,502.03
+13592,11/1/2031,1123,Electronics,West,2,140.71,0.23,Card,7,4.6,216.69
+13593,11/2/2031,1984,Electronics,East,6,83.13,0.13,COD,4,3.9,433.94
+13594,11/3/2031,1625,Electronics,South,6,529.66,0.02,Card,2,4.1,3114.4
+13595,11/4/2031,1789,Clothing,East,3,272.58,0.29,COD,2,1.3,580.6
+13596,11/5/2031,1413,Electronics,South,4,380.75,0.06,Card,7,1.8,1431.62
+13597,11/6/2031,1979,Clothing,South,6,301.89,0.13,COD,10,4.7,1575.87
+13598,11/7/2031,1724,Clothing,North,3,525.45,0.21,Card,7,1.5,1245.32
+13599,11/8/2031,1171,Beauty,West,6,334.96,0.17,COD,10,3.5,1668.1
+13600,11/9/2031,1287,Electronics,South,5,296.26,0.07,COD,7,4.1,1377.61
+13601,11/10/2031,1434,Electronics,West,6,555.89,0.05,Wallet,8,1.9,3168.57
+13602,11/11/2031,1685,Electronics,West,1,436.02,0.04,Wallet,3,3.8,418.58
+13603,11/12/2031,1112,Clothing,West,3,80.26,0.3,Card,11,1.3,168.55
+13604,11/13/2031,1887,Electronics,East,7,118.96,0.01,Card,5,3,824.39
+13605,11/14/2031,1916,Home,West,2,475.47,0.34,COD,6,2.3,627.62
+13606,11/15/2031,1994,Clothing,South,3,503.97,0.07,COD,8,3.6,1406.08
+13607,11/16/2031,1121,Clothing,East,4,333.94,0.04,Card,8,4.6,1282.33
+13608,11/17/2031,1543,Clothing,West,6,339.36,0.2,Card,10,1.5,1628.93
+13609,11/18/2031,1221,Electronics,North,3,384.68,0.03,COD,3,2.8,1119.42
+13610,11/19/2031,1630,Electronics,West,5,271.88,0.21,Wallet,4,2.7,1073.93
+13611,11/20/2031,1038,Electronics,West,3,412.92,0.3,Wallet,6,2.3,867.13
+13612,11/21/2031,1496,Clothing,East,5,78.46,0.02,Card,4,2.9,384.45
+13613,11/22/2031,1779,Electronics,South,6,577.35,0.28,Card,10,4.5,2494.15
+13614,11/23/2031,1232,Electronics,West,2,453.84,0.14,Card,4,4.9,780.6
+13615,11/24/2031,1942,Beauty,East,6,384.24,0.06,COD,5,1,2167.11
+13616,11/25/2031,1529,Electronics,East,4,200.05,0.06,COD,10,4,752.19
+13617,11/26/2031,1148,Home,South,1,109.16,0.32,COD,7,3.5,74.23
+13618,11/27/2031,1396,Home,East,2,254.47,0.04,COD,2,5,488.58
+13619,11/28/2031,1660,Electronics,South,2,402.02,0.3,Card,2,1.4,562.83
+13620,11/29/2031,1637,Electronics,North,1,385.72,0.19,Card,10,4.2,312.43
+13621,11/30/2031,1903,Electronics,West,3,238.85,0.01,Wallet,9,4.7,709.38
+13622,12/1/2031,1301,Home,East,6,373.77,0.16,Card,4,4.6,1883.8
+13623,12/2/2031,1359,Clothing,North,3,491.04,0.29,Card,5,3.2,1045.92
+13624,12/3/2031,1237,Home,East,3,30.38,0.25,COD,3,2.3,68.36
+13625,12/4/2031,1646,Beauty,East,6,278.61,0.17,COD,2,3.6,1387.48
+13626,12/5/2031,1662,Home,North,4,458.75,0.3,Wallet,10,2.2,1284.5
+13627,12/6/2031,1235,Electronics,East,2,334.49,0.04,Card,8,2.6,642.22
+13628,12/7/2031,1735,Electronics,East,5,396.11,0.32,COD,4,2.8,1346.77
+13629,12/8/2031,1202,Home,North,1,317.26,0.3,COD,1,2.2,222.08
+13630,12/9/2031,1255,Electronics,East,2,595.25,0.25,Wallet,6,2.4,892.88
+13631,12/10/2031,1597,Electronics,South,3,46.95,0.29,COD,6,1,100
+13632,12/11/2031,1661,Home,East,1,302.26,0.19,Wallet,2,2.2,244.83
+13633,12/12/2031,1234,Clothing,West,5,68.48,0.24,Card,2,2.9,260.22
+13634,12/13/2031,1344,Beauty,East,2,108.47,0.2,COD,8,1.7,173.55
+13635,12/14/2031,1533,Home,West,2,239.08,0.12,Card,11,4.2,420.78
+13636,12/15/2031,1859,Electronics,West,4,105.99,0.2,Card,7,3.2,339.17
+13637,12/16/2031,1796,Beauty,East,2,578.76,0.09,Card,2,4.2,1053.34
+13638,12/17/2031,1780,Electronics,North,2,568.87,0.15,COD,10,1.5,967.08
+13639,12/18/2031,1465,Electronics,South,5,211.62,0.1,Card,1,4.3,952.29
+13640,12/19/2031,1769,Clothing,South,5,389.25,0.04,Wallet,11,4.8,1868.4
+13641,12/20/2031,1540,Electronics,East,1,327.25,0.11,COD,8,2.4,291.25
+13642,12/21/2031,1212,Clothing,North,3,492.12,0.3,Card,10,2.1,1033.45
+13643,12/22/2031,1462,Electronics,North,5,382.06,0.13,COD,2,3.6,1661.96
+13644,12/23/2031,1435,Clothing,South,1,15.15,0.26,Card,5,3.5,11.21
+13645,12/24/2031,1282,Clothing,North,2,461.46,0.06,Card,6,1.4,867.54
+13646,12/25/2031,1561,Home,East,1,451.91,0.15,COD,10,4.7,384.12
+13647,12/26/2031,1606,Home,East,1,313.19,0.04,Wallet,1,2.9,300.66
+13648,12/27/2031,1462,Electronics,North,1,543.21,0.05,COD,2,4.1,516.05
+13649,12/28/2031,1406,Clothing,East,6,546.44,0.22,Wallet,10,2.4,2557.34
+13650,12/29/2031,1087,Clothing,West,1,321.49,0.21,COD,4,2,253.98
+13651,12/30/2031,1043,Electronics,South,5,370.67,0.07,Card,2,1.4,1723.62
+13652,12/31/2031,1460,Home,East,7,597.97,0.17,COD,11,2.1,3474.21
+13653,1/1/2032,1277,Home,North,7,189.81,0.3,COD,6,5,930.07
+13654,1/2/2032,1682,Electronics,South,7,204.9,0.06,Card,4,3.6,1348.24
+13655,1/3/2032,1420,Clothing,East,7,121.92,0.01,Wallet,11,4.2,844.91
+13656,1/4/2032,1700,Electronics,South,6,539.08,0.23,COD,3,4.8,2490.55
+13657,1/5/2032,1352,Clothing,North,3,450.53,0.02,Card,6,1.3,1324.56
+13658,1/6/2032,1695,Electronics,West,1,76.8,0.34,Wallet,9,1.7,50.69
+13659,1/7/2032,1514,Beauty,West,4,589.33,0.21,Card,8,4.7,1862.28
+13660,1/8/2032,1702,Home,East,7,442.61,0.16,Wallet,2,3.3,2602.55
+13661,1/9/2032,1629,Clothing,West,2,512.56,0.15,Card,3,3.5,871.35
+13662,1/10/2032,1018,Clothing,East,7,43.17,0.2,COD,2,2.7,241.75
+13663,1/11/2032,1022,Beauty,South,7,310.4,0.03,COD,10,4.3,2107.62
+13664,1/12/2032,1412,Clothing,East,2,423.68,0.33,COD,7,3.1,567.73
+13665,1/13/2032,1029,Electronics,East,6,332.62,0.22,Card,9,4.3,1556.66
+13666,1/14/2032,1806,Clothing,East,2,404.99,0.06,Card,1,5,761.38
+13667,1/15/2032,1107,Home,West,2,493.46,0.2,Card,11,3.6,789.54
+13668,1/16/2032,1366,Clothing,East,6,233.99,0.05,Wallet,3,3.1,1333.74
+13669,1/17/2032,1280,Home,North,2,511.47,0.01,Card,6,2.5,1012.71
+13670,1/18/2032,1127,Beauty,East,1,110.31,0.22,COD,4,1.8,86.04
+13671,1/19/2032,1228,Beauty,South,7,173.47,0.23,Wallet,10,3.6,935
+13672,1/20/2032,1110,Beauty,North,3,40.36,0.2,Wallet,10,1.3,96.86
+13673,1/21/2032,1135,Electronics,South,6,228.19,0.06,Card,1,4.8,1286.99
+13674,1/22/2032,1361,Clothing,South,4,237.25,0.21,Wallet,9,3.6,749.71
+13675,1/23/2032,1185,Home,South,6,486.08,0.02,Card,7,4.8,2858.15
+13676,1/24/2032,1655,Home,North,5,397.08,0.21,COD,11,2.1,1568.47
+13677,1/25/2032,1583,Clothing,North,4,270.48,0.19,COD,7,4.8,876.36
+13678,1/26/2032,1128,Electronics,West,5,396.49,0.23,Card,1,3.4,1526.49
+13679,1/27/2032,1875,Home,North,6,45.88,0.31,Card,9,4.2,189.94
+13680,1/28/2032,1260,Home,East,5,120.46,0.3,COD,8,1.7,421.61
+13681,1/29/2032,1514,Electronics,South,4,381.76,0.34,Card,11,3,1007.85
+13682,1/30/2032,1448,Clothing,West,1,390.2,0.34,Wallet,10,3.3,257.53
+13683,1/31/2032,1899,Electronics,North,6,467.87,0.27,Card,5,2.6,2049.27
+13684,2/1/2032,1103,Electronics,South,6,250.75,0.33,Wallet,4,2,1008.01
+13685,2/2/2032,1482,Electronics,North,2,437.69,0.3,COD,1,4.6,612.77
+13686,2/3/2032,1223,Clothing,West,6,415.13,0.25,Wallet,9,1.3,1868.08
+13687,2/4/2032,1831,Clothing,North,7,578.59,0.03,COD,8,1.6,3928.63
+13688,2/5/2032,1873,Clothing,North,7,140.85,0.02,Wallet,2,2.3,966.23
+13689,2/6/2032,1865,Home,South,6,337.73,0.29,Card,4,4.7,1438.73
+13690,2/7/2032,1490,Home,East,1,367.03,0.17,COD,4,3.3,304.63
+13691,2/8/2032,1472,Electronics,North,2,599.21,0.29,Card,7,2.5,850.88
+13692,2/9/2032,1009,Electronics,West,3,132.69,0.11,Card,3,2.6,354.28
+13693,2/10/2032,1404,Beauty,North,5,321.08,0.14,COD,8,4.4,1380.64
+13694,2/11/2032,1895,Electronics,North,4,217.52,0.25,COD,11,1.1,652.56
+13695,2/12/2032,1301,Beauty,East,3,322.65,0.32,Card,7,1,658.21
+13696,2/13/2032,1230,Home,South,2,150.8,0.03,COD,10,1.2,292.55
+13697,2/14/2032,1730,Clothing,West,7,42.85,0.3,COD,4,2.9,209.96
+13698,2/15/2032,1922,Beauty,South,7,349.95,0.28,Card,9,3.3,1763.75
+13699,2/16/2032,1065,Electronics,South,7,211.47,0.11,COD,6,3.5,1317.46
+13700,2/17/2032,1936,Electronics,South,1,121.44,0.12,COD,3,3.9,106.87
+13701,2/18/2032,1111,Clothing,North,7,204.5,0.02,Card,7,1.8,1402.87
+13702,2/19/2032,1012,Clothing,East,4,43.83,0.01,COD,6,2,173.57
+13703,2/20/2032,1392,Beauty,North,5,571.01,0.17,COD,8,2,2369.69
+13704,2/21/2032,1499,Electronics,West,6,354.97,0.03,Wallet,5,1.6,2065.93
+13705,2/22/2032,1931,Clothing,East,6,491.64,0.07,Card,6,2,2743.35
+13706,2/23/2032,1597,Clothing,South,3,262.52,0.3,Wallet,1,3.5,551.29
+13707,2/24/2032,1233,Home,East,5,543.44,0.2,Card,8,2.5,2173.76
+13708,2/25/2032,1601,Electronics,West,2,297.74,0.22,Card,1,4.1,464.47
+13709,2/26/2032,1313,Clothing,North,5,350.76,0.07,Card,3,3.1,1631.03
+13710,2/27/2032,1565,Home,North,1,302.7,0.29,Wallet,2,1.8,214.92
+13711,2/28/2032,1011,Electronics,South,3,443.97,0.3,COD,6,2.9,932.34
+13712,2/29/2032,1208,Home,North,3,346.49,0.18,Card,8,3.4,852.37
+13713,3/1/2032,1973,Clothing,North,1,173.89,0.32,Card,8,4.5,118.25
+13714,3/2/2032,1013,Home,West,5,100.14,0.3,Card,7,4.3,350.49
+13715,3/3/2032,1632,Home,East,7,369.58,0.26,Card,7,2.7,1914.42
+13716,3/4/2032,1417,Electronics,North,1,301.17,0.26,COD,8,3.6,222.87
+13717,3/5/2032,1436,Clothing,West,7,71.15,0.04,COD,5,2.2,478.13
+13718,3/6/2032,1376,Beauty,West,4,246.44,0.09,Wallet,3,3.5,897.04
+13719,3/7/2032,1019,Clothing,South,1,316.14,0.02,Wallet,2,4.7,309.82
+13720,3/8/2032,1586,Beauty,West,7,498.73,0,COD,3,3.5,3491.11
+13721,3/9/2032,1911,Clothing,South,5,59.52,0.06,Card,11,2.2,279.74
+13722,3/10/2032,1754,Electronics,North,7,218.87,0.31,Card,11,3.6,1057.14
+13723,3/11/2032,1734,Clothing,South,1,496.25,0.08,COD,3,4.6,456.55
+13724,3/12/2032,1069,Beauty,West,2,394.33,0.34,COD,7,1.5,520.52
+13725,3/13/2032,1823,Electronics,East,6,184.63,0.21,COD,1,2.9,875.15
+13726,3/14/2032,1210,Beauty,East,1,509.52,0.08,Wallet,7,2.3,468.76
+13727,3/15/2032,1100,Beauty,North,6,303.58,0.17,Wallet,6,2,1511.83
+13728,3/16/2032,1697,Clothing,North,1,306.54,0.08,Card,11,2.6,282.02
+13729,3/17/2032,1131,Electronics,East,5,586.3,0.34,Card,10,2.6,1934.79
+13730,3/18/2032,1622,Home,South,4,569.06,0.3,Wallet,2,1.8,1593.37
+13731,3/19/2032,1380,Electronics,North,4,224.74,0.01,Wallet,10,2.6,889.97
+13732,3/20/2032,1131,Home,West,6,97.24,0.33,Card,1,3.5,390.9
+13733,3/21/2032,1019,Clothing,North,5,205.52,0.25,COD,9,1.1,770.7
+13734,3/22/2032,1905,Clothing,South,7,32.83,0.03,COD,2,5,222.92
+13735,3/23/2032,1535,Home,North,5,27.15,0.23,COD,4,2.2,104.53
+13736,3/24/2032,1226,Clothing,West,5,246.38,0.23,Card,9,3.5,948.56
+13737,3/25/2032,1153,Clothing,West,2,565.5,0.08,Wallet,9,2.1,1040.52
+13738,3/26/2032,1804,Clothing,West,3,524.74,0.27,COD,11,2.6,1149.18
+13739,3/27/2032,1741,Clothing,South,1,314.19,0.03,Card,1,3.2,304.76
+13740,3/28/2032,1468,Clothing,South,5,345.66,0.17,COD,2,3.4,1434.49
+13741,3/29/2032,1821,Home,West,5,18.47,0,COD,2,4.1,92.35
+13742,3/30/2032,1999,Clothing,West,5,141.07,0.34,Wallet,2,4.2,465.53
+13743,3/31/2032,1870,Clothing,South,4,29.49,0.26,Card,8,3.1,87.29
+13744,4/1/2032,1404,Home,South,5,456.41,0.06,Wallet,8,1.3,2145.13
+13745,4/2/2032,1201,Electronics,South,1,100.2,0.12,Card,10,3.2,88.18
+13746,4/3/2032,1037,Electronics,East,7,523.39,0.06,COD,8,2.9,3443.91
+13747,4/4/2032,1941,Beauty,South,7,391.34,0.27,COD,4,1.9,1999.75
+13748,4/5/2032,1771,Home,West,5,149.21,0.02,Card,8,1,731.13
+13749,4/6/2032,1187,Clothing,East,1,107.27,0.29,COD,7,2.3,76.16
+13750,4/7/2032,1056,Clothing,South,2,382.16,0.33,Wallet,8,2,512.09
+13751,4/8/2032,1940,Electronics,West,7,541.99,0.24,COD,1,2.9,2883.39
+13752,4/9/2032,1019,Clothing,North,3,435.24,0.07,COD,3,4,1214.32
+13753,4/10/2032,1272,Clothing,East,4,218.9,0.13,Card,10,2.8,761.77
+13754,4/11/2032,1118,Clothing,West,1,358.62,0.17,Card,6,4.8,297.65
+13755,4/12/2032,1582,Clothing,North,7,196.8,0.21,Card,1,1.9,1088.3
+13756,4/13/2032,1515,Electronics,West,7,599.5,0.23,Wallet,4,1.9,3231.3
+13757,4/14/2032,1220,Electronics,South,6,453.07,0.19,COD,9,3.4,2201.92
+13758,4/15/2032,1525,Beauty,South,2,374.41,0.12,Wallet,7,4.6,658.96
+13759,4/16/2032,1514,Clothing,North,3,262.61,0.31,Card,1,3.7,543.6
+13760,4/17/2032,1727,Clothing,South,3,376.62,0.03,COD,6,3.7,1095.96
+13761,4/18/2032,1740,Electronics,West,3,214.85,0.16,Card,6,4.2,541.42
+13762,4/19/2032,1335,Electronics,North,1,31.89,0.27,COD,2,3.7,23.28
+13763,4/20/2032,1697,Home,West,2,246.13,0.02,Card,6,4,482.41
+13764,4/21/2032,1054,Clothing,West,5,559.33,0.25,Card,10,4.5,2097.49
+13765,4/22/2032,1499,Clothing,West,6,381.39,0.29,COD,2,1,1624.72
+13766,4/23/2032,1899,Electronics,South,2,64.11,0.23,Card,8,4.5,98.73
+13767,4/24/2032,1887,Home,South,2,532.72,0,COD,7,1.9,1065.44
+13768,4/25/2032,1765,Electronics,West,7,172.29,0.06,COD,6,4.6,1133.67
+13769,4/26/2032,1535,Electronics,East,2,157.61,0.12,COD,10,2.1,277.39
+13770,4/27/2032,1161,Clothing,West,1,188.8,0.08,Wallet,6,2.8,173.7
+13771,4/28/2032,1669,Electronics,West,6,352.66,0.34,Card,9,4.7,1396.53
+13772,4/29/2032,1593,Electronics,North,1,333.64,0.23,COD,9,1.4,256.9
+13773,4/30/2032,1914,Clothing,West,6,302.48,0.1,Wallet,10,4,1633.39
+13774,5/1/2032,1158,Home,South,6,434.76,0.33,COD,10,2.6,1747.74
+13775,5/2/2032,1187,Home,North,7,200.17,0.26,Card,2,1.1,1036.88
+13776,5/3/2032,1059,Clothing,East,1,472.51,0.1,Wallet,3,4.8,425.26
+13777,5/4/2032,1914,Electronics,North,6,117.56,0.13,Card,10,1.5,613.66
+13778,5/5/2032,1816,Electronics,East,2,472.83,0.07,Card,7,4.1,879.46
+13779,5/6/2032,1318,Beauty,North,1,403.33,0.34,Card,11,2.5,266.2
+13780,5/7/2032,1877,Clothing,North,6,414.68,0.18,Card,10,4.2,2040.23
+13781,5/8/2032,1210,Home,East,3,296.71,0.31,Card,9,4,614.19
+13782,5/9/2032,1405,Electronics,South,1,405.2,0.12,Card,6,3.5,356.58
+13783,5/10/2032,1663,Clothing,South,7,61.68,0.3,Card,11,4.8,302.23
+13784,5/11/2032,1108,Electronics,South,4,513.16,0.02,Card,1,1.4,2011.59
+13785,5/12/2032,1075,Clothing,North,1,47.5,0.34,Card,11,4.2,31.35
+13786,5/13/2032,1541,Beauty,West,1,102.01,0.32,COD,7,3.7,69.37
+13787,5/14/2032,1313,Beauty,North,1,352.42,0.13,Card,11,2.3,306.61
+13788,5/15/2032,1997,Clothing,West,6,447.56,0.27,Card,1,3.2,1960.31
+13789,5/16/2032,1116,Clothing,West,1,59.61,0.26,Card,5,3.6,44.11
+13790,5/17/2032,1926,Beauty,South,4,553.65,0.32,Card,9,3.9,1505.93
+13791,5/18/2032,1867,Home,West,5,584.56,0.11,Card,10,1.7,2601.29
+13792,5/19/2032,1703,Electronics,North,1,369.48,0.16,Card,11,1.4,310.36
+13793,5/20/2032,1018,Clothing,North,3,296.53,0.3,COD,10,1.4,622.71
+13794,5/21/2032,1431,Electronics,South,4,448.72,0.27,COD,9,2.2,1310.26
+13795,5/22/2032,1684,Clothing,East,5,207.09,0.14,Wallet,1,1.6,890.49
+13796,5/23/2032,1739,Clothing,North,6,303.56,0.3,COD,6,3.1,1274.95
+13797,5/24/2032,1349,Clothing,West,1,550.95,0.02,COD,3,2.7,539.93
+13798,5/25/2032,1182,Clothing,North,5,574.06,0.27,Card,9,4.6,2095.32
+13799,5/26/2032,1112,Electronics,North,3,557.34,0.07,COD,3,3.9,1554.98
+13800,5/27/2032,1182,Clothing,North,4,168.53,0.1,Card,2,1.8,606.71
+13801,5/28/2032,1480,Home,East,4,150.99,0.17,COD,8,1.2,501.29
+13802,5/29/2032,1145,Home,West,6,189.13,0.16,Card,3,3.8,953.22
+13803,5/30/2032,1830,Electronics,South,6,273.17,0.18,COD,5,4.4,1344
+13804,5/31/2032,1627,Beauty,North,6,198.79,0.19,Wallet,6,3.8,966.12
+13805,6/1/2032,1112,Beauty,West,5,233.91,0.12,Wallet,10,3.6,1029.2
+13806,6/2/2032,1762,Electronics,West,1,378.07,0.06,Card,10,2,355.39
+13807,6/3/2032,1475,Electronics,South,2,461.08,0.27,Card,1,3,673.18
+13808,6/4/2032,1762,Home,North,4,445.3,0.14,Wallet,7,3.9,1531.83
+13809,6/5/2032,1302,Home,East,2,491.44,0.18,COD,11,1.8,805.96
+13810,6/6/2032,1970,Beauty,West,7,33.83,0.23,COD,7,2.9,182.34
+13811,6/7/2032,1824,Beauty,South,4,42.92,0.32,COD,5,1.5,116.74
+13812,6/8/2032,1117,Clothing,East,6,476.79,0.25,COD,9,3.1,2145.56
+13813,6/9/2032,1812,Clothing,West,1,326.85,0.02,Wallet,11,3.3,320.31
+13814,6/10/2032,1160,Electronics,North,1,353.21,0.29,COD,2,3.1,250.78
+13815,6/11/2032,1400,Electronics,West,4,45.76,0.35,COD,5,2.9,118.98
+13816,6/12/2032,1197,Clothing,East,5,164.36,0.17,COD,2,3.3,682.09
+13817,6/13/2032,1259,Clothing,East,7,388.44,0.34,Wallet,2,5,1794.59
+13818,6/14/2032,1659,Clothing,North,6,517.62,0.19,COD,11,3.5,2515.63
+13819,6/15/2032,1751,Home,North,1,551.44,0.16,COD,9,4,463.21
+13820,6/16/2032,1046,Electronics,South,7,307.75,0.12,Wallet,7,1.8,1895.74
+13821,6/17/2032,1986,Clothing,North,7,334.1,0.23,COD,4,3.1,1800.8
+13822,6/18/2032,1398,Electronics,South,1,502.33,0.08,Card,11,1,462.14
+13823,6/19/2032,1709,Clothing,East,3,329.51,0.04,COD,8,1.1,948.99
+13824,6/20/2032,1558,Home,East,7,317.36,0.01,COD,11,2.3,2199.3
+13825,6/21/2032,1077,Home,West,1,544.47,0.1,Card,11,2.9,490.02
+13826,6/22/2032,1123,Beauty,West,3,477.11,0.14,COD,4,3.3,1230.94
+13827,6/23/2032,1074,Electronics,South,1,546.81,0.19,COD,1,4.6,442.92
+13828,6/24/2032,1870,Clothing,North,1,142.67,0.1,COD,10,4.1,128.4
+13829,6/25/2032,1136,Electronics,North,7,321.76,0.34,COD,3,2.2,1486.53
+13830,6/26/2032,1601,Clothing,West,5,507.85,0.1,COD,10,4,2285.33
+13831,6/27/2032,1399,Beauty,East,5,80.02,0.15,Wallet,1,3.2,340.08
+13832,6/28/2032,1836,Home,South,6,479.88,0.04,Card,2,4.1,2764.11
+13833,6/29/2032,1504,Beauty,East,1,122.04,0.09,Card,2,2.6,111.06
+13834,6/30/2032,1499,Electronics,East,6,487.75,0.02,Card,7,1.4,2867.97
+13835,7/1/2032,1572,Beauty,North,6,373.02,0.2,COD,4,3.5,1790.5
+13836,7/2/2032,1137,Electronics,South,6,128.04,0.26,Card,10,3.2,568.5
+13837,7/3/2032,1049,Beauty,East,6,291.91,0.07,Card,9,4.8,1628.86
+13838,7/4/2032,1770,Electronics,West,4,413.91,0.13,COD,2,1.6,1440.41
+13839,7/5/2032,1972,Electronics,West,7,385.8,0.01,Card,9,3.6,2673.59
+13840,7/6/2032,1618,Clothing,North,7,264.94,0.29,COD,6,2.9,1316.75
+13841,7/7/2032,1624,Beauty,West,4,541.13,0.27,COD,10,2.5,1580.1
+13842,7/8/2032,1861,Electronics,West,1,318.77,0.02,COD,8,4.2,312.39
+13843,7/9/2032,1253,Clothing,East,4,310.93,0.13,Card,7,4.2,1082.04
+13844,7/10/2032,1629,Beauty,West,1,51.42,0.33,COD,11,3.9,34.45
+13845,7/11/2032,1709,Clothing,West,5,554.44,0.14,Card,8,1.3,2384.09
+13846,7/12/2032,1848,Electronics,East,7,118.61,0.18,Wallet,9,2.4,680.82
+13847,7/13/2032,1876,Clothing,North,2,324.08,0.12,Wallet,8,1.2,570.38
+13848,7/14/2032,1562,Clothing,North,3,485.09,0.21,Card,6,2.4,1149.66
+13849,7/15/2032,1756,Beauty,South,7,141.04,0.34,Card,8,3.6,651.6
+13850,7/16/2032,1914,Home,West,4,323.51,0.35,Card,8,3.1,841.13
+13851,7/17/2032,1425,Clothing,East,4,155.8,0.27,Card,2,3.8,454.94
+13852,7/18/2032,1546,Beauty,South,5,459.42,0.14,COD,2,3.2,1975.51
+13853,7/19/2032,1301,Clothing,North,4,345.14,0.17,COD,11,3.2,1145.86
+13854,7/20/2032,1921,Electronics,North,1,515.75,0.12,Card,1,3,453.86
+13855,7/21/2032,1580,Electronics,East,1,538.32,0.34,COD,10,2.5,355.29
+13856,7/22/2032,1348,Clothing,South,2,394.51,0.25,Wallet,2,2.8,591.76
+13857,7/23/2032,1831,Electronics,South,2,439.35,0.16,COD,7,1.4,738.11
+13858,7/24/2032,1932,Beauty,East,7,336.29,0,Card,11,4.3,2354.03
+13859,7/25/2032,1979,Home,East,2,239.89,0.18,COD,3,4.6,393.42
+13860,7/26/2032,1048,Electronics,South,1,394.15,0.34,COD,4,4.1,260.14
+13861,7/27/2032,1916,Clothing,North,6,546.35,0.18,Wallet,4,3.3,2688.04
+13862,7/28/2032,1073,Home,West,6,258.76,0.06,Card,4,3.3,1459.41
+13863,7/29/2032,1703,Beauty,North,2,198.93,0.01,Card,2,2.9,393.88
+13864,7/30/2032,1260,Beauty,East,2,242.24,0.12,COD,11,1.9,426.34
+13865,7/31/2032,1355,Clothing,South,1,269.71,0.32,COD,6,2.5,183.4
+13866,8/1/2032,1581,Home,South,5,58.03,0.35,COD,1,5,188.6
+13867,8/2/2032,1601,Clothing,West,7,306.59,0.33,Card,5,1.6,1437.91
+13868,8/3/2032,1259,Clothing,South,4,304.17,0.26,COD,2,3.2,900.34
+13869,8/4/2032,1637,Electronics,West,7,359.24,0.2,Card,9,4.5,2011.74
+13870,8/5/2032,1742,Electronics,North,3,227.25,0.21,Card,2,2.8,538.58
+13871,8/6/2032,1294,Clothing,North,6,373.67,0.19,COD,6,3.4,1816.04
+13872,8/7/2032,1930,Electronics,South,6,528.76,0.25,Card,4,4.3,2379.42
+13873,8/8/2032,1640,Electronics,South,1,573.95,0.15,Card,6,3.2,487.86
+13874,8/9/2032,1791,Home,East,7,356.41,0.23,COD,2,3.9,1921.05
+13875,8/10/2032,1312,Electronics,East,1,39.92,0.04,COD,2,2.4,38.32
+13876,8/11/2032,1611,Clothing,South,3,582,0.09,Card,7,3.9,1588.86
+13877,8/12/2032,1837,Clothing,South,7,427.93,0.29,COD,3,1.2,2126.81
+13878,8/13/2032,1808,Beauty,North,3,211.54,0.32,Card,3,1.6,431.54
+13879,8/14/2032,1181,Clothing,South,2,101.09,0.19,Card,7,3.5,163.77
+13880,8/15/2032,1685,Electronics,East,7,98.9,0.01,COD,8,2.8,685.38
+13881,8/16/2032,1827,Clothing,North,3,113.13,0.32,Card,7,4.3,230.79
+13882,8/17/2032,1363,Home,West,4,41.66,0.25,Wallet,3,2.4,124.98
+13883,8/18/2032,1187,Beauty,East,4,542.76,0.14,Card,3,4.1,1867.09
+13884,8/19/2032,1568,Clothing,East,6,331.35,0.21,COD,7,1.6,1570.6
+13885,8/20/2032,1542,Electronics,North,4,424.48,0.15,Wallet,3,4.7,1443.23
+13886,8/21/2032,1595,Beauty,West,7,499.44,0.16,Wallet,2,2.7,2936.71
+13887,8/22/2032,1663,Electronics,East,4,478.05,0.31,Card,7,1.9,1319.42
+13888,8/23/2032,1984,Clothing,South,4,531.32,0.06,Wallet,3,4.2,1997.76
+13889,8/24/2032,1547,Clothing,East,2,580.84,0.04,Wallet,5,4.8,1115.21
+13890,8/25/2032,1724,Electronics,North,6,271.86,0,Card,7,4.7,1631.16
+13891,8/26/2032,1925,Electronics,North,1,570.95,0.11,COD,2,2,508.15
+13892,8/27/2032,1407,Electronics,North,6,438.12,0.05,Card,8,3.7,2497.28
+13893,8/28/2032,1875,Home,East,6,56.34,0.08,COD,2,3.2,311
+13894,8/29/2032,1617,Beauty,West,6,413.84,0,COD,4,3.9,2483.04
+13895,8/30/2032,1413,Electronics,South,3,416.73,0.08,Card,4,2.9,1150.17
+13896,8/31/2032,1341,Home,North,1,544.93,0.12,COD,8,2.9,479.54
+13897,9/1/2032,1219,Electronics,West,3,233.17,0.01,Card,11,4.5,692.51
+13898,9/2/2032,1902,Clothing,South,2,357.17,0.21,Wallet,1,4.5,564.33
+13899,9/3/2032,1162,Electronics,North,2,22.13,0.2,Card,9,4.2,35.41
+13900,9/4/2032,1950,Beauty,South,5,209.26,0.03,COD,6,3.8,1014.91
+13901,9/5/2032,1219,Home,South,5,51.41,0.21,Card,4,3.7,203.07
+13902,9/6/2032,1269,Home,West,2,320.3,0.35,Card,6,1.2,416.39
+13903,9/7/2032,1631,Home,South,2,493.21,0.33,COD,6,4,660.9
+13904,9/8/2032,1905,Clothing,North,3,135.77,0,Card,9,3.6,407.31
+13905,9/9/2032,1847,Beauty,West,2,323.55,0.28,COD,11,2.2,465.91
+13906,9/10/2032,1399,Home,East,7,134.35,0.12,Wallet,4,4.3,827.6
+13907,9/11/2032,1181,Beauty,East,1,85.6,0.02,Card,8,4.3,83.89
+13908,9/12/2032,1990,Clothing,West,3,313.93,0.1,Wallet,1,4.7,847.61
+13909,9/13/2032,1617,Electronics,East,2,61.3,0.11,Card,6,2.7,109.11
+13910,9/14/2032,1728,Clothing,South,3,358.6,0.18,Card,5,3.2,882.16
+13911,9/15/2032,1204,Electronics,North,3,33.33,0.23,Card,3,4.6,76.99
+13912,9/16/2032,1581,Clothing,South,4,77.43,0.26,Wallet,4,2.3,229.19
+13913,9/17/2032,1555,Clothing,West,5,336.75,0.09,Card,8,4.2,1532.21
+13914,9/18/2032,1840,Clothing,North,3,360.97,0.11,Wallet,11,5,963.79
+13915,9/19/2032,1812,Electronics,West,6,31.96,0.11,Wallet,11,3.6,170.67
+13916,9/20/2032,1227,Electronics,West,7,350.43,0.13,Card,10,4.9,2134.12
+13917,9/21/2032,1695,Clothing,West,7,505.52,0.35,COD,11,3.1,2300.12
+13918,9/22/2032,1618,Beauty,South,3,437.55,0.27,COD,2,1.6,958.23
+13919,9/23/2032,1595,Clothing,North,6,91.74,0.34,Card,8,1.7,363.29
+13920,9/24/2032,1849,Clothing,North,7,361.6,0.24,Card,7,3.9,1923.71
+13921,9/25/2032,1249,Home,North,4,408.27,0.14,Card,1,1,1404.45
+13922,9/26/2032,1874,Clothing,South,2,36.78,0.14,COD,2,3.6,63.26
+13923,9/27/2032,1440,Electronics,East,3,515.38,0.17,COD,7,1.6,1283.3
+13924,9/28/2032,1532,Clothing,South,4,545.17,0.15,Card,11,4.9,1853.58
+13925,9/29/2032,1195,Electronics,South,1,512.51,0.29,Card,11,1.7,363.88
+13926,9/30/2032,1689,Beauty,West,4,497.41,0.16,Wallet,3,3.2,1671.3
+13927,10/1/2032,1928,Electronics,North,5,450.8,0.1,Card,2,3.7,2028.6
+13928,10/2/2032,1986,Clothing,North,5,385.56,0.27,COD,1,4.3,1407.29
+13929,10/3/2032,1518,Electronics,East,2,412,0.3,Card,7,2.8,576.8
+13930,10/4/2032,1069,Electronics,East,6,486.74,0.15,Wallet,3,4.7,2482.37
+13931,10/5/2032,1638,Home,West,2,402.56,0.23,Wallet,6,2.9,619.94
+13932,10/6/2032,1398,Electronics,North,7,206.72,0.02,Card,10,2,1418.1
+13933,10/7/2032,1977,Electronics,East,6,234.94,0.19,Card,8,3.4,1141.81
+13934,10/8/2032,1671,Clothing,East,6,539.78,0.02,COD,6,3.6,3173.91
+13935,10/9/2032,1759,Electronics,North,6,25.02,0.01,Card,7,3,148.62
+13936,10/10/2032,1202,Electronics,South,6,423.81,0.21,Card,11,3.9,2008.86
+13937,10/11/2032,1147,Home,East,5,573.54,0.11,COD,6,2.7,2552.25
+13938,10/12/2032,1471,Home,North,7,428.14,0.26,Card,7,1,2217.77
+13939,10/13/2032,1654,Beauty,East,5,596.44,0.31,Card,5,2.1,2057.72
+13940,10/14/2032,1943,Beauty,West,3,417.21,0.05,COD,9,4.8,1189.05
+13941,10/15/2032,1198,Home,East,7,35.1,0.25,COD,3,4.1,184.28
+13942,10/16/2032,1916,Electronics,North,5,498.8,0.18,Card,6,1.8,2045.08
+13943,10/17/2032,1425,Home,East,2,181.51,0.04,COD,9,1.3,348.5
+13944,10/18/2032,1665,Home,West,5,275.94,0.23,COD,1,2.4,1062.37
+13945,10/19/2032,1491,Home,West,7,197.57,0.21,COD,5,4.3,1092.56
+13946,10/20/2032,1887,Clothing,East,7,172.1,0.18,Card,4,1.4,987.85
+13947,10/21/2032,1895,Electronics,East,2,267.37,0.32,Card,9,3.2,363.62
+13948,10/22/2032,1141,Home,West,1,236.57,0.18,Wallet,11,2.1,193.99
+13949,10/23/2032,1312,Home,West,7,385.5,0.35,Wallet,11,3.9,1754.02
+13950,10/24/2032,1164,Beauty,South,5,490.69,0.18,COD,1,1,2011.83
+13951,10/25/2032,1313,Electronics,South,2,188.8,0.04,Card,4,2.1,362.5
+13952,10/26/2032,1020,Electronics,West,6,140.03,0.16,COD,1,3.7,705.75
+13953,10/27/2032,1081,Electronics,East,7,405.13,0.06,Wallet,3,3.2,2665.76
+13954,10/28/2032,1580,Home,North,4,407.14,0.21,Card,4,4.1,1286.56
+13955,10/29/2032,1130,Electronics,East,6,542.16,0.24,Card,1,1.6,2472.25
+13956,10/30/2032,1598,Electronics,East,3,24.33,0.16,COD,5,3.1,61.31
+13957,10/31/2032,1729,Beauty,South,7,514.03,0.03,Wallet,6,1.8,3490.26
+13958,11/1/2032,1932,Electronics,South,2,319.79,0.16,Card,1,3.6,537.25
+13959,11/2/2032,1983,Home,South,6,378.46,0.03,COD,10,1.5,2202.64
+13960,11/3/2032,1304,Clothing,West,5,68.45,0.24,COD,11,1.6,260.11
+13961,11/4/2032,1914,Home,West,5,268.08,0.28,COD,10,2.3,965.09
+13962,11/5/2032,1370,Clothing,East,7,147.97,0.34,COD,4,2.6,683.62
+13963,11/6/2032,1856,Beauty,East,1,163.72,0.05,COD,4,3,155.53
+13964,11/7/2032,1852,Beauty,North,4,309.9,0.19,Card,1,3.3,1004.08
+13965,11/8/2032,1383,Electronics,East,7,490.29,0.2,Card,2,2.9,2745.62
+13966,11/9/2032,1907,Electronics,East,2,450.11,0.32,COD,11,1.2,612.15
+13967,11/10/2032,1444,Electronics,South,6,360.73,0.22,Card,10,2.4,1688.22
+13968,11/11/2032,1424,Home,South,4,330.56,0.05,COD,5,1.2,1256.13
+13969,11/12/2032,1160,Beauty,South,1,264.97,0.15,COD,2,1.5,225.22
+13970,11/13/2032,1177,Clothing,South,7,584.04,0.23,Card,3,1.4,3147.98
+13971,11/14/2032,1628,Clothing,South,3,342.71,0.25,COD,9,1.6,771.1
+13972,11/15/2032,1707,Electronics,North,4,163.57,0.3,COD,5,4.3,458
+13973,11/16/2032,1894,Home,North,1,149.6,0.06,Card,1,3.5,140.62
+13974,11/17/2032,1489,Beauty,North,7,372.64,0.33,COD,5,3,1747.68
+13975,11/18/2032,1326,Electronics,South,7,320.85,0.02,Wallet,3,3.9,2201.03
+13976,11/19/2032,1597,Clothing,West,2,19.5,0.34,Card,1,4.8,25.74
+13977,11/20/2032,1288,Electronics,South,7,500.59,0.3,COD,3,2.7,2452.89
+13978,11/21/2032,1592,Clothing,South,3,426.91,0.23,Card,11,2.5,986.16
+13979,11/22/2032,1663,Clothing,North,7,402.17,0.26,Card,6,4.9,2083.24
+13980,11/23/2032,1572,Electronics,South,5,55.24,0.03,Card,10,4.1,267.91
+13981,11/24/2032,1572,Clothing,North,1,226.8,0.01,COD,5,4.1,224.53
+13982,11/25/2032,1353,Electronics,South,5,562.2,0.04,Card,1,3.4,2698.56
+13983,11/26/2032,1027,Clothing,East,7,519.61,0.03,Card,11,3,3528.15
+13984,11/27/2032,1953,Clothing,West,3,182.04,0.19,COD,2,3.2,442.36
+13985,11/28/2032,1042,Electronics,West,1,106.88,0.08,Card,5,3.6,98.33
+13986,11/29/2032,1680,Home,North,1,277.72,0.3,Card,9,2.5,194.4
+13987,11/30/2032,1422,Home,East,7,223.16,0.16,Card,11,4.1,1312.18
+13988,12/1/2032,1597,Clothing,West,3,414.1,0.24,Card,5,4.6,944.15
+13989,12/2/2032,1176,Electronics,North,2,580.36,0.23,COD,5,3.3,893.75
+13990,12/3/2032,1528,Home,South,1,227.36,0.11,Card,1,2.5,202.35
+13991,12/4/2032,1609,Beauty,South,3,51.4,0.09,Card,5,3.8,140.32
+13992,12/5/2032,1965,Electronics,East,4,540.1,0.12,Wallet,8,1.7,1901.15
+13993,12/6/2032,1493,Electronics,West,5,37.2,0.28,Wallet,9,4.9,133.92
+13994,12/7/2032,1197,Electronics,South,1,572.37,0.21,Wallet,10,3.6,452.17
+13995,12/8/2032,1609,Clothing,North,4,403.78,0.09,Wallet,3,1.3,1469.76
+13996,12/9/2032,1576,Electronics,South,1,565.89,0.29,COD,4,3.1,401.78
+13997,12/10/2032,1841,Clothing,South,2,131.8,0.02,COD,7,4,258.33
+13998,12/11/2032,1852,Home,West,7,38.81,0.24,COD,7,2.1,206.47
+13999,12/12/2032,1516,Clothing,West,3,300.6,0.15,COD,1,1.2,766.53
+14000,12/13/2032,1513,Clothing,North,1,278.61,0.26,COD,11,3,206.17
+14001,12/14/2032,1021,Clothing,East,3,208.92,0.32,Card,6,4.3,426.2
+14002,12/15/2032,1111,Clothing,East,6,575.23,0.26,Wallet,9,2,2554.02
+14003,12/16/2032,1056,Electronics,South,1,496.21,0.15,COD,5,3.9,421.78
+14004,12/17/2032,1065,Electronics,North,2,402.03,0.05,Wallet,8,2.6,763.86
+14005,12/18/2032,1841,Beauty,East,2,110.27,0.28,Card,11,1.2,158.79
+14006,12/19/2032,1097,Electronics,East,7,444.58,0.16,Card,10,2.2,2614.13
+14007,12/20/2032,1143,Home,South,7,440.3,0.03,Card,11,2.3,2989.64
+14008,12/21/2032,1879,Beauty,North,4,263.66,0.25,COD,9,4.6,790.98
+14009,12/22/2032,1434,Electronics,East,2,556,0.1,Card,10,4.9,1000.8
+14010,12/23/2032,1636,Clothing,West,3,112.68,0.02,Card,10,1.8,331.28
+14011,12/24/2032,1678,Clothing,West,6,171.39,0.32,Card,3,2.7,699.27
+14012,12/25/2032,1085,Beauty,South,2,51.99,0.17,Card,1,4.9,86.3
+14013,12/26/2032,1587,Beauty,South,1,480.34,0.1,COD,2,2.6,432.31
+14014,12/27/2032,1343,Home,South,2,378.73,0.25,Wallet,5,2.4,568.1
+14015,12/28/2032,1935,Electronics,South,6,199.24,0.31,Card,10,1.4,824.85
+14016,12/29/2032,1293,Home,East,3,110.83,0,COD,7,4,332.49
+14017,12/30/2032,1955,Clothing,North,1,38.49,0.24,Card,11,2.8,29.25
+14018,12/31/2032,1570,Clothing,South,4,112.55,0.27,Card,6,3.6,328.65
+14019,1/1/2033,1649,Electronics,South,4,280.17,0.07,COD,4,3,1042.23
+14020,1/2/2033,1610,Electronics,East,4,159.6,0.17,COD,9,1.7,529.87
+14021,1/3/2033,1703,Home,South,7,166.5,0.03,Wallet,11,1.7,1130.54
+14022,1/4/2033,1242,Clothing,South,1,527.21,0.26,COD,4,4.8,390.14
+14023,1/5/2033,1830,Electronics,North,4,316.36,0.3,Wallet,3,4.6,885.81
+14024,1/6/2033,1560,Clothing,West,7,441.61,0.04,Card,11,3.4,2967.62
+14025,1/7/2033,1959,Beauty,South,2,35.89,0.29,Card,5,1,50.96
+14026,1/8/2033,1031,Home,East,1,228.62,0.27,Card,4,2.7,166.89
+14027,1/9/2033,1390,Electronics,North,1,295.31,0.12,COD,2,3.1,259.87
+14028,1/10/2033,1276,Electronics,East,1,124.05,0.24,Card,3,2.8,94.28
+14029,1/11/2033,1531,Electronics,North,5,85.31,0,Card,7,4.7,426.55
+14030,1/12/2033,1153,Beauty,North,7,524.13,0.33,COD,2,1.2,2458.17
+14031,1/13/2033,1382,Clothing,South,3,564.57,0.19,Card,1,3.6,1371.91
+14032,1/14/2033,1067,Clothing,South,5,61.1,0.22,Card,2,2.3,238.29
+14033,1/15/2033,1877,Clothing,South,5,219.18,0.23,Card,8,3.2,843.84
+14034,1/16/2033,1883,Clothing,West,5,575.6,0.2,Card,8,3.6,2302.4
+14035,1/17/2033,1213,Home,West,3,63.65,0.3,COD,10,2.8,133.66
+14036,1/18/2033,1654,Clothing,East,5,391.53,0.21,COD,2,1.6,1546.54
+14037,1/19/2033,1375,Electronics,South,4,583.75,0.32,Card,6,3.1,1587.8
+14038,1/20/2033,1743,Electronics,West,1,587.26,0.2,Card,11,4.7,469.81
+14039,1/21/2033,1212,Clothing,South,1,290.67,0.06,Wallet,11,3.1,273.23
+14040,1/22/2033,1078,Beauty,West,7,110.21,0.32,COD,11,1.5,524.6
+14041,1/23/2033,1725,Electronics,West,2,133.22,0.24,COD,7,4.3,202.49
+14042,1/24/2033,1627,Beauty,North,6,535.42,0.24,COD,1,1.9,2441.52
+14043,1/25/2033,1603,Home,South,4,548.33,0.34,Card,7,2.5,1447.59
+14044,1/26/2033,1781,Electronics,South,3,370.61,0.03,Wallet,11,2.7,1078.48
+14045,1/27/2033,1922,Electronics,West,6,463.21,0.15,COD,8,2.4,2362.37
+14046,1/28/2033,1380,Electronics,South,1,447.86,0.08,Card,9,2.6,412.03
+14047,1/29/2033,1679,Home,West,5,402.17,0.22,Card,8,4.2,1568.46
+14048,1/30/2033,1057,Electronics,South,7,498.96,0.28,Card,3,1.9,2514.76
+14049,1/31/2033,1795,Clothing,North,7,415.96,0.34,Card,8,2.9,1921.74
+14050,2/1/2033,1025,Clothing,South,2,327.39,0.16,Wallet,3,1.1,550.02
+14051,2/2/2033,1880,Home,North,2,153.62,0.28,Wallet,6,3,221.21
+14052,2/3/2033,1446,Electronics,East,1,450.17,0.32,Card,4,1.4,306.12
+14053,2/4/2033,1065,Clothing,South,4,291.96,0.24,Card,7,2.1,887.56
+14054,2/5/2033,1920,Clothing,South,7,187.45,0.08,COD,8,2.3,1207.18
+14055,2/6/2033,1759,Clothing,South,6,484.14,0.21,Card,10,1.3,2294.82
+14056,2/7/2033,1253,Home,North,2,422.58,0.34,COD,6,2.4,557.81
+14057,2/8/2033,1898,Electronics,South,1,563.34,0.35,COD,10,3,366.17
+14058,2/9/2033,1967,Home,South,4,111.78,0.22,COD,4,2.7,348.75
+14059,2/10/2033,1043,Home,West,1,394.78,0.31,COD,8,2.1,272.4
+14060,2/11/2033,1096,Clothing,East,1,157.88,0.07,COD,7,2.2,146.83
+14061,2/12/2033,1553,Home,North,4,543.6,0.09,Wallet,10,3.5,1978.7
+14062,2/13/2033,1226,Clothing,West,4,73.21,0.33,Card,8,3.9,196.2
+14063,2/14/2033,1773,Electronics,North,4,398.85,0.05,Wallet,10,3.3,1515.63
+14064,2/15/2033,1678,Home,West,1,477.79,0.07,Card,7,4.9,444.34
+14065,2/16/2033,1435,Clothing,East,2,222.63,0.15,Card,3,4.8,378.47
+14066,2/17/2033,1790,Clothing,West,3,573.17,0.21,Card,3,1.4,1358.41
+14067,2/18/2033,1600,Electronics,North,3,512.68,0.21,COD,9,2,1215.05
+14068,2/19/2033,1378,Beauty,South,1,187.35,0.1,Card,7,4.5,168.62
+14069,2/20/2033,1177,Clothing,South,1,19.41,0.32,Wallet,1,1.1,13.2
+14070,2/21/2033,1426,Electronics,East,2,188.54,0.32,COD,3,3.4,256.41
+14071,2/22/2033,1914,Clothing,North,4,179.57,0.14,Card,11,4.8,617.72
+14072,2/23/2033,1708,Home,North,1,535.63,0.15,COD,1,3.7,455.29
+14073,2/24/2033,1306,Home,North,7,580.77,0.25,Wallet,6,1.4,3049.04
+14074,2/25/2033,1778,Clothing,East,5,56.21,0.23,COD,2,4,216.41
+14075,2/26/2033,1503,Beauty,South,4,290.71,0.13,Card,7,2.5,1011.67
+14076,2/27/2033,1267,Electronics,West,7,335.77,0.14,Wallet,8,4.7,2021.34
+14077,2/28/2033,1585,Clothing,East,1,69.35,0.12,COD,6,2.1,61.03
+14078,3/1/2033,1007,Beauty,West,5,235.84,0.08,Card,5,2.9,1084.86
+14079,3/2/2033,1919,Beauty,South,7,200.49,0.16,Card,10,4,1178.88
+14080,3/3/2033,1507,Home,East,6,328.59,0.24,COD,4,2,1498.37
+14081,3/4/2033,1475,Beauty,South,2,401.8,0.26,Wallet,9,1.7,594.66
+14082,3/5/2033,1296,Electronics,West,5,426.54,0.27,Card,8,1,1556.87
+14083,3/6/2033,1163,Beauty,North,1,95,0.13,Card,5,3,82.65
+14084,3/7/2033,1484,Electronics,North,3,490.57,0.27,Wallet,1,4.7,1074.35
+14085,3/8/2033,1596,Electronics,West,7,411.95,0,Card,8,2.1,2883.65
+14086,3/9/2033,1071,Electronics,North,1,535.11,0.17,Wallet,8,1.2,444.14
+14087,3/10/2033,1566,Clothing,West,3,277.86,0.28,Card,7,3.5,600.18
+14088,3/11/2033,1904,Electronics,East,2,537.93,0.22,COD,7,1.2,839.17
+14089,3/12/2033,1558,Electronics,East,2,521.48,0.17,Card,8,3,865.66
+14090,3/13/2033,1910,Electronics,East,4,271.47,0.23,Wallet,1,2.5,836.13
+14091,3/14/2033,1943,Electronics,North,7,237.97,0.32,COD,3,2.9,1132.74
+14092,3/15/2033,1237,Clothing,South,4,560.7,0.2,Wallet,4,1.7,1794.24
+14093,3/16/2033,1103,Clothing,North,3,433.37,0.28,COD,11,1.4,936.08
+14094,3/17/2033,1209,Electronics,North,3,558.02,0.34,Card,6,4,1104.88
+14095,3/18/2033,1553,Home,South,2,481.23,0.25,Card,10,2,721.84
+14096,3/19/2033,1827,Beauty,South,5,371.44,0.2,COD,10,4.2,1485.76
+14097,3/20/2033,1467,Home,South,3,82.77,0.01,COD,9,4,245.83
+14098,3/21/2033,1453,Electronics,South,3,185.52,0.13,Wallet,4,1.8,484.21
+14099,3/22/2033,1267,Home,North,7,581.77,0.2,Card,6,4.6,3257.91
+14100,3/23/2033,1385,Electronics,West,5,201.86,0.28,COD,9,1.6,726.7
+14101,3/24/2033,1774,Electronics,East,4,69.55,0.15,Wallet,9,4.2,236.47
+14102,3/25/2033,1847,Electronics,West,4,428.92,0.34,Card,6,2.7,1132.35
+14103,3/26/2033,1386,Home,North,3,444.39,0.1,Wallet,5,1.7,1199.85
+14104,3/27/2033,1876,Electronics,South,7,181.99,0.26,Card,3,4.8,942.71
+14105,3/28/2033,1258,Electronics,East,4,189.14,0.15,COD,5,4.9,643.08
+14106,3/29/2033,1282,Electronics,East,4,289.3,0.17,Card,3,3,960.48
+14107,3/30/2033,1625,Beauty,West,6,27.75,0.28,Card,5,2.9,119.88
+14108,3/31/2033,1874,Clothing,North,7,476.75,0.1,Card,10,4.6,3003.52
+14109,4/1/2033,1039,Electronics,North,4,200.5,0.03,Wallet,10,3.4,777.94
+14110,4/2/2033,1485,Clothing,North,2,514.45,0.18,Wallet,1,2.1,843.7
+14111,4/3/2033,1928,Clothing,East,1,484.54,0.19,Card,6,2.7,392.48
+14112,4/4/2033,1219,Home,West,3,401.92,0.28,Wallet,7,4.3,868.15
+14113,4/5/2033,1128,Electronics,East,3,205.05,0.34,COD,2,4.4,406
+14114,4/6/2033,1519,Beauty,East,2,317.05,0.02,Wallet,3,4.8,621.42
+14115,4/7/2033,1612,Electronics,South,1,275.23,0.21,Card,10,2.2,217.43
+14116,4/8/2033,1927,Home,West,1,213.25,0.24,Card,9,3.7,162.07
+14117,4/9/2033,1891,Electronics,South,2,511.16,0.35,COD,8,1.3,664.51
+14118,4/10/2033,1687,Clothing,North,5,297.85,0.33,Card,4,3.9,997.8
+14119,4/11/2033,1618,Clothing,East,5,502.14,0.25,COD,11,3.3,1883.02
+14120,4/12/2033,1612,Clothing,West,1,76.55,0.18,Card,8,2,62.77
+14121,4/13/2033,1259,Electronics,North,5,97.5,0.06,Card,11,3.6,458.25
+14122,4/14/2033,1989,Home,West,5,586.73,0.13,Card,8,1.5,2552.28
+14123,4/15/2033,1965,Electronics,East,5,358.84,0.2,Wallet,6,2.3,1435.36
+14124,4/16/2033,1365,Home,West,1,313.22,0.25,Card,1,2.6,234.92
+14125,4/17/2033,1757,Home,North,5,321.05,0.22,Card,2,4.1,1252.1
+14126,4/18/2033,1786,Clothing,South,3,140.93,0.25,COD,4,2.2,317.09
+14127,4/19/2033,1543,Home,East,6,435.44,0.15,COD,4,1.2,2220.74
+14128,4/20/2033,1648,Home,South,1,64.6,0.25,COD,2,1.7,48.45
+14129,4/21/2033,1523,Clothing,East,2,350.39,0.05,COD,9,3.4,665.74
+14130,4/22/2033,1906,Home,North,5,348.9,0.06,Card,2,1.1,1639.83
+14131,4/23/2033,1813,Electronics,East,4,549.8,0.06,Card,6,4.2,2067.25
+14132,4/24/2033,1886,Clothing,South,1,322.82,0.31,COD,5,4.6,222.75
+14133,4/25/2033,1015,Home,East,7,95.18,0.03,Wallet,4,3,646.27
+14134,4/26/2033,1128,Clothing,North,2,350.06,0.28,COD,6,3.8,504.09
+14135,4/27/2033,1574,Electronics,East,6,68.43,0.08,Card,4,2.9,377.73
+14136,4/28/2033,1108,Clothing,South,3,134.22,0.16,Card,9,2.2,338.23
+14137,4/29/2033,1886,Home,North,7,33.2,0.32,Card,11,1.7,158.03
+14138,4/30/2033,1532,Beauty,South,2,315.28,0.21,COD,10,3.1,498.14
+14139,5/1/2033,1669,Clothing,East,5,64.45,0.07,Card,7,4.7,299.69
+14140,5/2/2033,1268,Home,West,4,289.6,0.1,Card,3,4.6,1042.56
+14141,5/3/2033,1161,Beauty,South,5,560.77,0.32,Card,10,4.7,1906.62
+14142,5/4/2033,1259,Electronics,East,2,436.06,0.15,COD,4,4.9,741.3
+14143,5/5/2033,1923,Electronics,West,1,60.29,0.21,Card,1,1.7,47.63
+14144,5/6/2033,1101,Home,West,7,146.16,0.16,COD,6,1.6,859.42
+14145,5/7/2033,1505,Home,North,4,409.09,0.13,COD,2,2.7,1423.63
+14146,5/8/2033,1734,Beauty,West,7,538.4,0.08,Card,4,3.8,3467.3
+14147,5/9/2033,1570,Clothing,South,7,34.26,0.24,COD,5,2.8,182.26
+14148,5/10/2033,1246,Electronics,South,4,490.28,0.25,Card,8,4.6,1470.84
+14149,5/11/2033,1639,Clothing,West,2,343.66,0.1,Card,3,3.9,618.59
+14150,5/12/2033,1794,Electronics,East,6,334.46,0.28,COD,6,3.5,1444.87
+14151,5/13/2033,1836,Electronics,South,6,575.32,0.3,COD,1,1.3,2416.34
+14152,5/14/2033,1536,Home,South,5,452.37,0.32,COD,9,1.7,1538.06
+14153,5/15/2033,1130,Electronics,North,2,512.32,0.06,COD,1,2.7,963.16
+14154,5/16/2033,1352,Home,East,4,222.09,0.11,Wallet,2,4.9,790.64
+14155,5/17/2033,1195,Clothing,West,2,339.3,0.3,Card,1,2.3,475.02
+14156,5/18/2033,1792,Clothing,East,4,375.01,0.07,COD,8,3.5,1395.04
+14157,5/19/2033,1915,Electronics,North,7,203.13,0,COD,4,5,1421.91
+14158,5/20/2033,1929,Electronics,North,5,348.6,0.3,Card,2,2.1,1220.1
+14159,5/21/2033,1665,Electronics,East,1,153.44,0.11,Card,7,1.7,136.56
+14160,5/22/2033,1381,Beauty,North,7,98.87,0.15,COD,8,3.2,588.28
+14161,5/23/2033,1644,Home,North,1,233.77,0.16,Card,9,3.2,196.37
+14162,5/24/2033,1226,Clothing,North,2,447.48,0.3,Card,5,4.7,626.47
+14163,5/25/2033,1700,Electronics,East,4,550.97,0.12,COD,3,1.1,1939.41
+14164,5/26/2033,1475,Beauty,North,1,282.76,0.31,Wallet,1,2.6,195.1
+14165,5/27/2033,1476,Electronics,West,7,391.05,0.22,Wallet,8,2.2,2135.13
+14166,5/28/2033,1264,Electronics,West,4,75.28,0.18,Card,6,3.3,246.92
+14167,5/29/2033,1371,Clothing,South,5,544.11,0.11,COD,5,1,2421.29
+14168,5/30/2033,1485,Beauty,West,7,347.63,0.09,Card,7,3.8,2214.4
+14169,5/31/2033,1433,Electronics,South,2,471.5,0.22,Card,5,2.9,735.54
+14170,6/1/2033,1645,Electronics,East,4,479.75,0.16,COD,11,3.8,1611.96
+14171,6/2/2033,1210,Beauty,North,2,165.04,0.32,Card,4,2.8,224.45
+14172,6/3/2033,1571,Electronics,West,4,324.57,0.17,Card,5,2.9,1077.57
+14173,6/4/2033,1939,Electronics,South,7,576.88,0.18,Wallet,11,4.6,3311.29
+14174,6/5/2033,1376,Clothing,East,6,67.44,0.15,Wallet,7,1.8,343.94
+14175,6/6/2033,1394,Beauty,South,6,414.58,0.28,COD,11,1.9,1790.99
+14176,6/7/2033,1449,Clothing,North,4,577.92,0.15,Wallet,6,3.2,1964.93
+14177,6/8/2033,1942,Beauty,West,5,190.84,0.09,COD,10,3.6,868.32
+14178,6/9/2033,1363,Home,East,2,518.95,0.3,Card,10,2.4,726.53
+14179,6/10/2033,1875,Electronics,South,3,561.19,0.21,COD,11,3.1,1330.02
+14180,6/11/2033,1456,Beauty,East,4,452.05,0.21,Card,9,1.9,1428.48
+14181,6/12/2033,1724,Clothing,South,4,150.33,0.21,Card,10,1.5,475.04
+14182,6/13/2033,1727,Electronics,South,6,210.39,0.25,Wallet,2,2,946.75
+14183,6/14/2033,1225,Clothing,North,1,35.95,0.11,COD,7,4.7,32
+14184,6/15/2033,1981,Electronics,North,7,501.4,0.01,Card,1,4.2,3474.7
+14185,6/16/2033,1130,Electronics,South,6,512.02,0.28,Card,8,1.6,2211.93
+14186,6/17/2033,1587,Electronics,West,2,385.14,0.05,Card,4,1.2,731.77
+14187,6/18/2033,1475,Clothing,East,6,221.23,0.25,Wallet,8,1.4,995.53
+14188,6/19/2033,1797,Home,East,3,59.93,0.03,COD,8,2.2,174.4
+14189,6/20/2033,1985,Clothing,North,5,455.54,0.13,COD,4,4.2,1981.6
+14190,6/21/2033,1276,Beauty,West,7,440.02,0.02,COD,4,2.3,3018.54
+14191,6/22/2033,1155,Electronics,South,3,548.87,0.18,COD,5,1.7,1350.22
+14192,6/23/2033,1759,Electronics,North,5,442.36,0.23,COD,7,2.6,1703.09
+14193,6/24/2033,1217,Electronics,South,3,499.79,0.06,COD,6,1.5,1409.41
+14194,6/25/2033,1189,Electronics,South,7,451.38,0.13,Wallet,1,2.9,2748.9
+14195,6/26/2033,1416,Electronics,North,6,383.95,0.33,Wallet,6,3.7,1543.48
+14196,6/27/2033,1980,Home,West,3,264.78,0.15,Wallet,3,2.5,675.19
+14197,6/28/2033,1674,Beauty,East,6,542.74,0.28,COD,9,1.7,2344.64
+14198,6/29/2033,1691,Beauty,North,7,395.82,0.32,Wallet,3,2.8,1884.1
+14199,6/30/2033,1545,Electronics,West,6,248.04,0.34,Card,9,4,982.24
+14200,7/1/2033,1040,Beauty,South,2,63.83,0.31,Wallet,5,1.3,88.09
+14201,7/2/2033,1306,Electronics,North,6,185.06,0.11,Wallet,10,1.3,988.22
+14202,7/3/2033,1942,Electronics,East,1,333.08,0.34,Wallet,8,2.3,219.83
+14203,7/4/2033,1337,Beauty,East,3,176.25,0.28,Wallet,9,2.7,380.7
+14204,7/5/2033,1313,Clothing,South,7,144.42,0.29,Card,9,1.9,717.77
+14205,7/6/2033,1074,Electronics,North,4,323.53,0.01,Card,7,1.1,1281.18
+14206,7/7/2033,1952,Clothing,East,4,114.34,0.33,Card,10,1.9,306.43
+14207,7/8/2033,1278,Electronics,North,4,483.24,0.27,COD,1,2.7,1411.06
+14208,7/9/2033,1175,Home,East,7,298.36,0.27,Card,8,1.3,1524.62
+14209,7/10/2033,1895,Clothing,South,1,350.71,0.03,COD,7,3.9,340.19
+14210,7/11/2033,1661,Beauty,South,6,101.22,0.08,COD,4,3.2,558.73
+14211,7/12/2033,1272,Electronics,North,3,204.88,0.34,COD,6,2.7,405.66
+14212,7/13/2033,1836,Clothing,West,5,254.9,0.18,Wallet,10,3.1,1045.09
+14213,7/14/2033,1619,Clothing,West,5,487.8,0.14,COD,2,3.6,2097.54
+14214,7/15/2033,1650,Clothing,South,7,465.54,0.29,COD,4,5,2313.73
+14215,7/16/2033,1861,Electronics,East,2,145.44,0.03,COD,8,4.1,282.15
+14216,7/17/2033,1782,Home,West,1,375.46,0.15,Wallet,4,3.2,319.14
+14217,7/18/2033,1858,Beauty,South,3,157.42,0.13,Card,10,4.1,410.87
+14218,7/19/2033,1930,Beauty,East,6,593.12,0.12,Card,4,2.9,3131.67
+14219,7/20/2033,1288,Home,East,4,571.99,0.11,Wallet,4,2.2,2036.28
+14220,7/21/2033,1723,Beauty,West,1,344.51,0.07,COD,10,2,320.39
+14221,7/22/2033,1892,Clothing,South,1,423.86,0.06,COD,9,2.6,398.43
+14222,7/23/2033,1271,Home,East,3,483.84,0.22,COD,11,1,1132.19
+14223,7/24/2033,1929,Electronics,East,7,436.78,0.32,Card,2,1.7,2079.07
+14224,7/25/2033,1065,Clothing,North,6,424.4,0.18,COD,7,1.5,2088.05
+14225,7/26/2033,1482,Electronics,North,7,575.75,0.1,Card,3,4.8,3627.22
+14226,7/27/2033,1935,Clothing,West,7,363.93,0.06,COD,4,1.3,2394.66
+14227,7/28/2033,1247,Electronics,North,2,387.24,0.29,COD,1,3,549.88
+14228,7/29/2033,1155,Beauty,South,7,511.82,0.34,COD,3,4.7,2364.61
+14229,7/30/2033,1046,Electronics,West,6,406.89,0.12,COD,2,3.4,2148.38
+14230,7/31/2033,1934,Electronics,West,2,443.77,0.1,Wallet,10,3,798.79
+14231,8/1/2033,1453,Clothing,North,2,151.99,0.21,COD,7,4,240.14
+14232,8/2/2033,1200,Electronics,East,4,232.19,0.27,Wallet,6,2.4,677.99
+14233,8/3/2033,1659,Electronics,South,4,101.17,0.16,COD,1,1.8,339.93
+14234,8/4/2033,1123,Electronics,South,3,310.87,0.22,COD,11,4.4,727.44
+14235,8/5/2033,1000,Clothing,South,6,281.6,0.25,Card,8,1.2,1267.2
+14236,8/6/2033,1967,Clothing,West,7,598.34,0.34,Card,9,4.2,2764.33
+14237,8/7/2033,1758,Home,South,2,372.56,0.06,COD,1,1.4,700.41
+14238,8/8/2033,1854,Home,East,3,475.07,0.35,Card,5,3.5,926.39
+14239,8/9/2033,1639,Clothing,East,2,210.4,0.14,COD,7,2.9,361.89
+14240,8/10/2033,1190,Electronics,North,1,501.45,0.25,COD,2,5,376.09
+14241,8/11/2033,1578,Electronics,South,5,374.82,0.2,Wallet,6,2.6,1499.28
+14242,8/12/2033,1515,Home,West,5,422.74,0.17,Wallet,8,4.8,1754.37
+14243,8/13/2033,1441,Electronics,North,2,187.24,0.24,Card,8,2.6,284.6
+14244,8/14/2033,1920,Electronics,East,3,335.95,0.14,Card,10,3.7,866.75
+14245,8/15/2033,1814,Home,South,4,385.91,0.04,COD,10,3.6,1481.89
+14246,8/16/2033,1805,Clothing,East,6,359.62,0.17,Card,8,1.3,1790.91
+14247,8/17/2033,1142,Electronics,North,2,550.39,0.18,Card,6,4,902.64
+14248,8/18/2033,1190,Electronics,East,2,540.49,0.07,Wallet,6,1.8,1005.31
+14249,8/19/2033,1532,Beauty,South,6,583.03,0.33,Wallet,11,2.6,2343.78
+14250,8/20/2033,1226,Beauty,South,7,405.45,0.08,COD,3,4.1,2611.1
+14251,8/21/2033,1312,Home,North,4,583.57,0.14,COD,2,4.8,2007.48
+14252,8/22/2033,1628,Clothing,South,2,502,0.05,Card,5,3.2,953.8
+14253,8/23/2033,1948,Clothing,East,1,173.44,0.19,COD,9,3.1,140.49
+14254,8/24/2033,1301,Beauty,East,4,265.05,0.11,COD,4,3,943.58
+14255,8/25/2033,1653,Beauty,West,1,154.46,0.17,COD,5,4.3,128.2
+14256,8/26/2033,1995,Electronics,West,5,17.46,0.08,Card,6,5,80.32
+14257,8/27/2033,1459,Home,West,6,125.01,0.02,Wallet,11,3.5,735.06
+14258,8/28/2033,1400,Electronics,East,4,17.38,0.27,COD,6,2.5,50.75
+14259,8/29/2033,1550,Electronics,East,7,436.11,0.22,COD,4,1.9,2381.16
+14260,8/30/2033,1392,Home,North,4,263.94,0.12,Wallet,4,1.8,929.07
+14261,8/31/2033,1866,Clothing,West,3,197.86,0.02,Card,8,4.4,581.71
+14262,9/1/2033,1763,Beauty,East,3,460.61,0.3,Card,5,5,967.28
+14263,9/2/2033,1844,Electronics,North,6,502,0.06,Wallet,11,3.8,2831.28
+14264,9/3/2033,1206,Clothing,East,7,585.55,0.33,Wallet,5,4.8,2746.23
+14265,9/4/2033,1209,Beauty,North,4,390.58,0.17,COD,9,2.4,1296.73
+14266,9/5/2033,1114,Beauty,West,5,284.99,0.12,Card,4,3.5,1253.96
+14267,9/6/2033,1736,Electronics,West,7,193.58,0.26,COD,7,3,1002.74
+14268,9/7/2033,1645,Clothing,West,2,145.06,0.31,Card,5,2.9,200.18
+14269,9/8/2033,1250,Clothing,East,6,139.56,0.13,COD,9,3.5,728.5
+14270,9/9/2033,1218,Electronics,East,7,254.38,0.14,Card,8,2.2,1531.37
+14271,9/10/2033,1406,Beauty,North,6,595.2,0.15,Wallet,8,3.6,3035.52
+14272,9/11/2033,1442,Beauty,South,7,15.5,0.32,COD,10,3.7,73.78
+14273,9/12/2033,1602,Electronics,South,3,130.37,0.24,Wallet,10,4.3,297.24
+14274,9/13/2033,1353,Electronics,West,5,125.21,0.09,Card,3,3.9,569.71
+14275,9/14/2033,1887,Electronics,South,6,434.51,0.06,Card,9,2.3,2450.64
+14276,9/15/2033,1557,Beauty,West,5,221.2,0.08,Wallet,8,2.8,1017.52
+14277,9/16/2033,1549,Electronics,North,6,282.5,0.09,Card,3,1.5,1542.45
+14278,9/17/2033,1141,Clothing,South,3,101.95,0.08,COD,10,2,281.38
+14279,9/18/2033,1611,Clothing,South,2,251.92,0.23,Card,1,3.1,387.96
+14280,9/19/2033,1500,Clothing,West,3,75.37,0.04,COD,5,1.4,217.07
+14281,9/20/2033,1839,Electronics,North,6,326.83,0.14,Card,4,3.3,1686.44
+14282,9/21/2033,1701,Electronics,South,5,72.29,0.22,Card,8,2.6,281.93
+14283,9/22/2033,1546,Beauty,South,1,477.45,0.1,COD,6,1.1,429.7
+14284,9/23/2033,1658,Beauty,South,3,346.46,0.02,Card,10,2.7,1018.59
+14285,9/24/2033,1541,Home,North,5,438.52,0.03,Card,5,2.1,2126.82
+14286,9/25/2033,1845,Electronics,North,7,259.83,0.04,COD,9,1.3,1746.06
+14287,9/26/2033,1506,Electronics,South,7,238.17,0.29,COD,6,2.2,1183.7
+14288,9/27/2033,1595,Clothing,West,3,72.45,0.23,Card,11,2.2,167.36
+14289,9/28/2033,1880,Electronics,West,6,321.46,0.02,COD,11,2.4,1890.18
+14290,9/29/2033,1280,Beauty,South,7,315.98,0.14,Wallet,11,2.5,1902.2
+14291,9/30/2033,1423,Clothing,North,5,288.84,0.1,Card,11,2.7,1299.78
+14292,10/1/2033,1855,Electronics,South,2,448.2,0.2,COD,3,1.4,717.12
+14293,10/2/2033,1269,Beauty,North,5,502.02,0.18,COD,6,1,2058.28
+14294,10/3/2033,1153,Beauty,South,7,454.21,0.17,Card,11,3.9,2638.96
+14295,10/4/2033,1613,Electronics,North,7,99.16,0.11,Card,4,2.3,617.77
+14296,10/5/2033,1726,Clothing,East,4,378.9,0.05,COD,5,3.5,1439.82
+14297,10/6/2033,1661,Electronics,West,1,61.99,0.26,COD,6,2.2,45.87
+14298,10/7/2033,1943,Clothing,East,6,421.35,0.31,Card,9,4.9,1744.39
+14299,10/8/2033,1082,Electronics,West,5,238.38,0.33,Wallet,3,2.3,798.57
+14300,10/9/2033,1621,Clothing,North,7,92.51,0.02,COD,1,3.4,634.62
+14301,10/10/2033,1946,Beauty,East,6,519.3,0.26,Card,2,1.9,2305.69
+14302,10/11/2033,1898,Clothing,West,3,374.19,0.25,COD,8,3.1,841.93
+14303,10/12/2033,1425,Electronics,South,3,222.51,0.33,Wallet,4,3.3,447.25
+14304,10/13/2033,1274,Clothing,North,5,32.98,0.09,Card,7,1.7,150.06
+14305,10/14/2033,1712,Electronics,North,4,329.33,0.26,COD,2,1.5,974.82
+14306,10/15/2033,1283,Beauty,South,7,555.09,0.02,COD,11,4.9,3807.92
+14307,10/16/2033,1979,Clothing,South,5,363.88,0.22,Card,10,4.6,1419.13
+14308,10/17/2033,1172,Electronics,West,2,583.42,0.12,Card,8,3.6,1026.82
+14309,10/18/2033,1326,Electronics,North,4,94.82,0.27,Card,10,4.4,276.87
+14310,10/19/2033,1717,Home,West,7,347.46,0.3,Card,9,1.4,1702.55
+14311,10/20/2033,1062,Electronics,South,7,481.9,0.13,Card,7,3.9,2934.77
+14312,10/21/2033,1072,Home,North,6,322.44,0.18,Wallet,10,2.1,1586.4
+14313,10/22/2033,1762,Electronics,South,5,68.27,0.04,Wallet,11,3.2,327.7
+14314,10/23/2033,1635,Electronics,West,7,355.99,0.15,Card,1,4.1,2118.14
+14315,10/24/2033,1374,Clothing,West,6,372.87,0.13,Card,2,1.1,1946.38
+14316,10/25/2033,1632,Beauty,West,7,441.29,0.06,Card,9,3.8,2903.69
+14317,10/26/2033,1507,Beauty,North,1,460.31,0.31,Card,10,2.7,317.61
+14318,10/27/2033,1786,Electronics,South,4,465.9,0.05,Card,7,2.8,1770.42
+14319,10/28/2033,1942,Clothing,South,5,403.11,0.22,Card,11,4.6,1572.13
+14320,10/29/2033,1397,Electronics,West,1,141.25,0.31,Wallet,3,4.4,97.46
+14321,10/30/2033,1119,Clothing,West,5,251.48,0.32,Card,5,1.2,855.03
+14322,10/31/2033,1933,Clothing,West,2,469.04,0.28,COD,1,3.5,675.42
+14323,11/1/2033,1436,Beauty,West,3,572.75,0.06,Card,10,2.7,1615.16
+14324,11/2/2033,1828,Beauty,East,6,61.18,0.29,Card,3,1.5,260.63
+14325,11/3/2033,1675,Clothing,East,5,328.29,0.1,Wallet,11,4.4,1477.3
+14326,11/4/2033,1935,Clothing,East,4,197.83,0.32,Card,4,1.3,538.1
+14327,11/5/2033,1464,Beauty,West,5,146.86,0.25,Wallet,4,1.1,550.72
+14328,11/6/2033,1285,Home,West,5,310.9,0.27,Card,7,1.8,1134.79
+14329,11/7/2033,1264,Electronics,South,5,369.56,0.03,COD,5,2.2,1792.37
+14330,11/8/2033,1319,Electronics,North,7,20.72,0.2,Wallet,9,1.2,116.03
+14331,11/9/2033,1672,Clothing,South,5,471.42,0.29,Card,7,3.6,1673.54
+14332,11/10/2033,1375,Electronics,East,7,494.63,0.3,Card,2,2.7,2423.69
+14333,11/11/2033,1819,Electronics,South,4,579.82,0.01,COD,11,2.6,2296.09
+14334,11/12/2033,1088,Electronics,West,4,120.68,0.33,Card,11,1.6,323.42
+14335,11/13/2033,1653,Clothing,East,5,362.81,0.02,COD,8,2.8,1777.77
+14336,11/14/2033,1202,Electronics,East,7,264.58,0.22,Card,11,2.6,1444.61
+14337,11/15/2033,1820,Electronics,North,3,210.87,0.24,Card,2,2.5,480.78
+14338,11/16/2033,1738,Electronics,North,5,345.9,0.04,Card,7,1.9,1660.32
+14339,11/17/2033,1954,Home,East,6,472.69,0.02,Wallet,5,1.4,2779.42
+14340,11/18/2033,1333,Beauty,East,6,28.49,0.27,Card,10,2,124.79
+14341,11/19/2033,1221,Clothing,South,4,582.1,0.13,Card,6,3.7,2025.71
+14342,11/20/2033,1040,Clothing,East,6,488.78,0.04,COD,11,1.3,2815.37
+14343,11/21/2033,1707,Beauty,West,6,454.42,0.27,Card,4,2.5,1990.36
+14344,11/22/2033,1067,Electronics,South,2,459.83,0.3,Card,5,3.1,643.76
+14345,11/23/2033,1987,Electronics,West,5,242.6,0.21,Card,5,4.9,958.27
+14346,11/24/2033,1775,Electronics,West,5,454.7,0.06,COD,7,4.4,2137.09
+14347,11/25/2033,1513,Electronics,West,5,241.26,0.01,COD,11,4.7,1194.24
+14348,11/26/2033,1872,Clothing,East,5,540.74,0.25,Card,4,4.3,2027.78
+14349,11/27/2033,1636,Beauty,North,1,118.68,0.19,Card,5,3.4,96.13
+14350,11/28/2033,1621,Clothing,North,5,186.02,0.23,COD,4,4.4,716.18
+14351,11/29/2033,1597,Clothing,West,7,337.53,0.28,COD,4,3.3,1701.15
+14352,11/30/2033,1936,Beauty,East,4,201.74,0.15,Card,8,2.4,685.92
+14353,12/1/2033,1631,Electronics,South,7,263.18,0.04,Card,11,2.5,1768.57
+14354,12/2/2033,1126,Electronics,West,4,303.07,0.33,Card,5,3.3,812.23
+14355,12/3/2033,1254,Clothing,South,1,515.97,0.19,COD,9,4.2,417.94
+14356,12/4/2033,1694,Clothing,South,5,321.07,0.22,Wallet,5,1.5,1252.17
+14357,12/5/2033,1015,Electronics,East,3,227.04,0.33,Card,8,1.2,456.35
+14358,12/6/2033,1476,Clothing,East,7,159.93,0.33,Card,3,4.2,750.07
+14359,12/7/2033,1061,Clothing,North,5,254.08,0.2,Card,7,3.6,1016.32
+14360,12/8/2033,1880,Home,North,4,316.71,0.1,Card,1,4.3,1140.16
+14361,12/9/2033,1431,Clothing,East,7,451.48,0.35,Card,5,4.9,2054.23
+14362,12/10/2033,1669,Electronics,West,2,85.81,0.24,Wallet,2,2,130.43
+14363,12/11/2033,1267,Electronics,North,6,144.64,0.14,Card,8,1.8,746.34
+14364,12/12/2033,1034,Clothing,South,2,237.1,0.2,COD,6,2.4,379.36
+14365,12/13/2033,1778,Electronics,West,3,225.83,0.15,Card,5,4.5,575.87
+14366,12/14/2033,1575,Beauty,South,5,244.17,0.31,Wallet,3,1.1,842.39
+14367,12/15/2033,1493,Clothing,East,1,479.21,0.17,COD,1,1,397.74
+14368,12/16/2033,1561,Electronics,South,5,204.63,0.29,Card,10,1.9,726.44
+14369,12/17/2033,1468,Home,West,3,308.61,0.29,Wallet,10,2.5,657.34
+14370,12/18/2033,1766,Clothing,East,3,379.99,0.29,Card,10,2.2,809.38
+14371,12/19/2033,1660,Electronics,West,6,150.82,0.25,COD,11,4.3,678.69
+14372,12/20/2033,1324,Home,South,3,435.44,0.3,Wallet,10,3.8,914.42
+14373,12/21/2033,1303,Beauty,West,2,335.06,0.14,Card,8,4.4,576.3
+14374,12/22/2033,1275,Home,East,6,276.37,0.04,COD,11,2.5,1591.89
+14375,12/23/2033,1868,Electronics,South,5,488.72,0.29,Wallet,5,3.4,1734.96
+14376,12/24/2033,1962,Clothing,South,7,157.44,0.17,Wallet,9,3.1,914.73
+14377,12/25/2033,1683,Home,North,5,531.66,0.04,COD,11,2.9,2551.97
+14378,12/26/2033,1928,Electronics,North,1,343.21,0.04,Card,7,2.2,329.48
+14379,12/27/2033,1200,Electronics,West,3,371.37,0.06,COD,1,3.8,1047.26
+14380,12/28/2033,1444,Beauty,North,3,526.91,0.26,COD,11,3.1,1169.74
+14381,12/29/2033,1904,Electronics,North,4,493.29,0.25,COD,1,1.3,1479.87
+14382,12/30/2033,1323,Home,North,6,366.91,0.07,Wallet,7,1,2047.36
+14383,12/31/2033,1034,Clothing,North,4,455.61,0.3,Card,11,1.1,1275.71
+14384,1/1/2034,1976,Clothing,East,6,268.49,0.1,Card,7,1.3,1449.85
+14385,1/2/2034,1481,Electronics,East,2,335.22,0.28,COD,9,2.5,482.72
+14386,1/3/2034,1727,Home,North,6,51.31,0.17,Wallet,2,2.2,255.52
+14387,1/4/2034,1479,Clothing,West,5,67.57,0.26,COD,7,1.6,250.01
+14388,1/5/2034,1064,Clothing,East,1,500.21,0.13,Wallet,2,3.1,435.18
+14389,1/6/2034,1007,Home,North,7,49.91,0.12,Wallet,10,4.9,307.45
+14390,1/7/2034,1300,Home,East,6,114.1,0.29,Wallet,10,1.6,486.07
+14391,1/8/2034,1342,Beauty,South,6,480.56,0.01,Wallet,2,2,2854.53
+14392,1/9/2034,1430,Clothing,East,6,15.67,0.34,Wallet,5,2.8,62.05
+14393,1/10/2034,1423,Clothing,East,1,180.21,0.23,Wallet,9,3.6,138.76
+14394,1/11/2034,1331,Beauty,West,3,356.66,0.15,COD,9,3.4,909.48
+14395,1/12/2034,1437,Clothing,East,1,363.34,0.22,Card,10,3.1,283.41
+14396,1/13/2034,1587,Electronics,West,3,469.63,0.04,Card,1,3.9,1352.53
+14397,1/14/2034,1173,Electronics,South,7,310.97,0.18,Card,11,4.4,1784.97
+14398,1/15/2034,1558,Home,North,5,313,0.34,Card,7,5,1032.9
+14399,1/16/2034,1526,Clothing,West,1,439.31,0.08,Card,10,2.9,404.17
+14400,1/17/2034,1872,Home,East,3,306.7,0.25,Wallet,10,5,690.08
+14401,1/18/2034,1658,Clothing,East,5,370.97,0.15,COD,3,3.9,1576.62
+14402,1/19/2034,1025,Electronics,West,5,540.2,0.23,Card,10,3.6,2079.77
+14403,1/20/2034,1819,Clothing,South,3,249.85,0.07,COD,10,3.6,697.08
+14404,1/21/2034,1604,Electronics,North,3,240.3,0.16,COD,1,4.6,605.56
+14405,1/22/2034,1405,Clothing,East,2,17.08,0.34,Card,2,4.8,22.55
+14406,1/23/2034,1231,Clothing,South,5,373.85,0.07,Wallet,6,1.7,1738.4
+14407,1/24/2034,1532,Clothing,North,3,32.42,0.22,Card,10,3,75.86
+14408,1/25/2034,1818,Home,North,5,309.93,0.2,COD,2,4.8,1239.72
+14409,1/26/2034,1549,Home,East,1,485.48,0.2,Card,2,2.5,388.38
+14410,1/27/2034,1787,Home,West,7,336.7,0.22,COD,4,1.9,1838.38
+14411,1/28/2034,1504,Electronics,East,4,172.74,0.18,Wallet,3,1.4,566.59
+14412,1/29/2034,1668,Electronics,East,4,474.91,0.01,Card,8,3.4,1880.64
+14413,1/30/2034,1178,Clothing,East,6,172.78,0.32,Wallet,8,3.8,704.94
+14414,1/31/2034,1131,Beauty,South,3,443.82,0.29,Card,6,1.8,945.34
+14415,2/1/2034,1822,Home,West,3,372,0.06,COD,4,3.7,1049.04
+14416,2/2/2034,1454,Home,South,5,114.45,0.14,Wallet,7,4.6,492.14
+14417,2/3/2034,1347,Electronics,East,6,544.5,0.27,Wallet,9,2,2384.91
+14418,2/4/2034,1539,Clothing,West,3,132.38,0.34,Card,2,1.5,262.11
+14419,2/5/2034,1771,Clothing,North,5,593.91,0.33,Card,6,4.3,1989.6
+14420,2/6/2034,1405,Electronics,West,3,19.28,0.31,COD,7,4.7,39.91
+14421,2/7/2034,1075,Electronics,East,5,169.14,0.06,Card,1,1.9,794.96
+14422,2/8/2034,1940,Beauty,West,3,131.92,0.32,COD,6,3.9,269.12
+14423,2/9/2034,1578,Electronics,North,2,23.19,0.31,COD,8,3.4,32
+14424,2/10/2034,1853,Electronics,North,7,443.44,0.13,COD,7,2,2700.55
+14425,2/11/2034,1491,Electronics,West,5,420.65,0.14,Card,2,4.3,1808.8
+14426,2/12/2034,1193,Beauty,North,7,478.53,0.16,COD,2,2.9,2813.76
+14427,2/13/2034,1983,Clothing,South,2,165.17,0.23,Wallet,4,3.8,254.36
+14428,2/14/2034,1161,Home,West,2,274.94,0.09,COD,5,2.2,500.39
+14429,2/15/2034,1346,Beauty,North,2,400.58,0.01,COD,5,4.3,793.15
+14430,2/16/2034,1950,Electronics,North,2,272.26,0.05,Card,11,2.1,517.29
+14431,2/17/2034,1360,Clothing,West,1,422.94,0.15,Card,2,2.5,359.5
+14432,2/18/2034,1768,Electronics,South,7,385.87,0.1,Card,7,2.6,2430.98
+14433,2/19/2034,1583,Electronics,West,6,82.07,0.27,COD,8,1.8,359.47
+14434,2/20/2034,1086,Home,North,7,471.91,0.04,Card,2,4.5,3171.24
+14435,2/21/2034,1933,Home,West,4,436.6,0.32,COD,4,1.5,1187.55
+14436,2/22/2034,1261,Clothing,North,1,398.66,0.31,COD,11,3.3,275.08
+14437,2/23/2034,1213,Clothing,East,3,105.73,0.32,COD,11,4.3,215.69
+14438,2/24/2034,1664,Clothing,West,3,171.78,0.26,Card,3,3.3,381.35
+14439,2/25/2034,1721,Electronics,West,6,245.01,0.04,COD,4,2.3,1411.26
+14440,2/26/2034,1912,Electronics,North,4,178.76,0.15,COD,5,4.1,607.78
+14441,2/27/2034,1572,Electronics,North,4,148.27,0.05,Card,6,3,563.43
+14442,2/28/2034,1779,Electronics,North,4,486.13,0.35,Card,2,1.7,1263.94
+14443,3/1/2034,1261,Home,North,2,388.37,0.12,COD,10,2.3,683.53
+14444,3/2/2034,1729,Electronics,West,1,345.8,0.2,Card,6,3.4,276.64
+14445,3/3/2034,1282,Electronics,North,3,147.18,0.27,Card,9,3.6,322.32
+14446,3/4/2034,1647,Clothing,West,1,552.07,0.32,Card,11,3.2,375.41
+14447,3/5/2034,1466,Beauty,South,1,126.84,0.26,Card,8,2.1,93.86
+14448,3/6/2034,1379,Electronics,West,1,480.05,0.24,Wallet,1,3.4,364.84
+14449,3/7/2034,1361,Electronics,North,4,580.5,0.16,COD,9,2.3,1950.48
+14450,3/8/2034,1448,Clothing,North,6,440.35,0.21,COD,11,1.9,2087.26
+14451,3/9/2034,1440,Home,South,6,595.82,0.03,Wallet,10,4.8,3467.67
+14452,3/10/2034,1092,Clothing,West,4,395.86,0.31,COD,11,2.3,1092.57
+14453,3/11/2034,1620,Home,South,3,142.21,0.19,COD,2,2.3,345.57
+14454,3/12/2034,1752,Beauty,West,3,134.23,0.01,Card,11,4.6,398.66
+14455,3/13/2034,1866,Home,North,3,204.87,0.32,COD,1,1.6,417.93
+14456,3/14/2034,1423,Clothing,West,6,19.17,0.17,Card,6,3.3,95.47
+14457,3/15/2034,1141,Clothing,North,6,413.79,0.3,Card,1,4.1,1737.92
+14458,3/16/2034,1290,Electronics,North,1,172.17,0.3,Card,6,2.1,120.52
+14459,3/17/2034,1431,Beauty,East,4,491.88,0.29,Card,2,4.4,1396.94
+14460,3/18/2034,1748,Clothing,East,2,225.12,0.02,Card,11,4.1,441.24
+14461,3/19/2034,1851,Electronics,West,1,295.77,0.09,Card,7,2.9,269.15
+14462,3/20/2034,1823,Home,North,5,579.93,0.31,Wallet,7,1.5,2000.76
+14463,3/21/2034,1688,Electronics,South,6,156.67,0.31,Card,4,4.9,648.61
+14464,3/22/2034,1652,Clothing,North,1,436.93,0.16,Wallet,2,3.5,367.02
+14465,3/23/2034,1700,Clothing,South,4,456.74,0.15,COD,11,3.1,1552.92
+14466,3/24/2034,1997,Clothing,West,5,144.28,0.06,COD,7,4.5,678.12
+14467,3/25/2034,1048,Home,West,7,308.08,0.34,Card,1,2.7,1423.33
+14468,3/26/2034,1301,Electronics,South,1,219.87,0.07,Wallet,11,3.3,204.48
+14469,3/27/2034,1880,Clothing,South,4,466.57,0.07,Card,11,4.4,1735.64
+14470,3/28/2034,1189,Clothing,North,4,379.15,0.23,COD,2,2.6,1167.78
+14471,3/29/2034,1135,Home,West,6,293.45,0.08,COD,2,4.1,1619.84
+14472,3/30/2034,1554,Home,North,2,470.93,0.33,Card,1,2,631.05
+14473,3/31/2034,1403,Clothing,South,1,152.57,0,Card,9,3.8,152.57
+14474,4/1/2034,1891,Clothing,East,4,455.87,0,Card,6,3,1823.48
+14475,4/2/2034,1864,Electronics,East,3,521.24,0.18,Wallet,3,1.7,1282.25
+14476,4/3/2034,1601,Beauty,East,4,528.99,0.17,Wallet,6,1.5,1756.25
+14477,4/4/2034,1806,Clothing,South,2,473.45,0.06,Wallet,7,2.8,890.09
+14478,4/5/2034,1340,Home,North,4,253.69,0.17,Card,3,3.8,842.25
+14479,4/6/2034,1756,Electronics,West,6,589.36,0.14,Card,4,3.4,3041.1
+14480,4/7/2034,1944,Electronics,South,7,237.06,0.31,Card,10,4.4,1145
+14481,4/8/2034,1703,Clothing,East,1,388.6,0,Wallet,1,2.6,388.6
+14482,4/9/2034,1317,Beauty,North,6,109.23,0.34,Card,6,4.4,432.55
+14483,4/10/2034,1617,Clothing,West,1,588.56,0.22,Card,6,1.1,459.08
+14484,4/11/2034,1362,Beauty,West,5,426.83,0.05,Wallet,9,2.5,2027.44
+14485,4/12/2034,1821,Clothing,South,1,455.73,0.02,COD,2,1.3,446.62
+14486,4/13/2034,1381,Clothing,South,5,53.48,0.19,COD,5,4.7,216.59
+14487,4/14/2034,1232,Electronics,West,6,461.6,0.08,Card,5,2.9,2548.03
+14488,4/15/2034,1776,Home,West,3,468.21,0.11,COD,7,2.3,1250.12
+14489,4/16/2034,1343,Electronics,East,2,407.99,0.09,Wallet,5,3,742.54
+14490,4/17/2034,1548,Beauty,West,3,185.77,0.23,COD,10,3.1,429.13
+14491,4/18/2034,1816,Beauty,South,5,301.47,0.19,Card,4,4.4,1220.95
+14492,4/19/2034,1552,Beauty,North,4,79.6,0.03,Card,10,3.2,308.85
+14493,4/20/2034,1528,Clothing,East,4,290.88,0.18,Card,2,2.7,954.09
+14494,4/21/2034,1855,Home,East,3,157.64,0.28,COD,8,4.8,340.5
+14495,4/22/2034,1788,Home,West,4,219.22,0.03,Card,5,4.9,850.57
+14496,4/23/2034,1818,Electronics,North,5,110.12,0.31,COD,4,1.2,379.91
+14497,4/24/2034,1570,Clothing,East,6,149.58,0.2,COD,9,3.8,717.98
+14498,4/25/2034,1934,Electronics,South,2,59.79,0.33,COD,2,2.5,80.12
+14499,4/26/2034,1182,Clothing,West,7,553.14,0.05,Card,3,3.7,3678.38
+14500,4/27/2034,1040,Electronics,South,1,325.29,0.35,COD,8,3.5,211.44
+14501,4/28/2034,1550,Electronics,West,5,247.09,0.23,COD,11,2.3,951.3
+14502,4/29/2034,1396,Clothing,East,7,327.99,0.2,Card,4,4.9,1836.74
+14503,4/30/2034,1703,Clothing,West,5,382.55,0.18,Wallet,9,2.4,1568.46
+14504,5/1/2034,1778,Clothing,North,1,554.3,0.01,Card,10,3.5,548.76
+14505,5/2/2034,1493,Electronics,South,1,119.54,0.33,COD,10,4.3,80.09
+14506,5/3/2034,1658,Clothing,North,2,187.9,0.23,Card,10,1.6,289.37
+14507,5/4/2034,1906,Electronics,South,2,585.84,0.03,COD,10,2.2,1136.53
+14508,5/5/2034,1332,Clothing,South,2,232.15,0.01,COD,9,1.8,459.66
+14509,5/6/2034,1126,Clothing,West,4,28.2,0.02,Card,10,4.1,110.54
+14510,5/7/2034,1557,Clothing,East,5,101.37,0.21,COD,9,4.2,400.41
+14511,5/8/2034,1556,Home,East,6,30.41,0.21,COD,1,2,144.14
+14512,5/9/2034,1000,Electronics,North,1,594.11,0.17,COD,6,1,493.11
+14513,5/10/2034,1167,Home,West,5,178.14,0.11,Card,10,2.7,792.72
+14514,5/11/2034,1619,Clothing,East,7,555.27,0.19,Card,6,3.7,3148.38
+14515,5/12/2034,1018,Clothing,South,5,597.59,0.18,COD,8,3.5,2450.12
+14516,5/13/2034,1331,Clothing,South,2,365.91,0.01,Card,7,2.8,724.5
+14517,5/14/2034,1583,Electronics,West,2,34.42,0.1,COD,7,2.2,61.96
+14518,5/15/2034,1455,Home,North,5,62.73,0.02,Card,2,2.9,307.38
+14519,5/16/2034,1956,Clothing,West,2,296.73,0.32,Card,11,1.1,403.55
+14520,5/17/2034,1108,Electronics,North,4,252.61,0.25,Wallet,4,1.3,757.83
+14521,5/18/2034,1267,Electronics,West,1,369.61,0.35,COD,1,1.7,240.25
+14522,5/19/2034,1444,Electronics,South,7,271.73,0.11,COD,11,3.5,1692.88
+14523,5/20/2034,1239,Beauty,West,5,561.43,0.31,Wallet,11,1.9,1936.93
+14524,5/21/2034,1928,Home,East,1,327.82,0.21,COD,7,2.7,258.98
+14525,5/22/2034,1300,Electronics,East,4,420.83,0.16,COD,4,3.5,1413.99
+14526,5/23/2034,1601,Clothing,West,7,539.44,0.08,Wallet,9,4.3,3473.99
+14527,5/24/2034,1102,Clothing,North,2,100.92,0.26,COD,6,3.2,149.36
+14528,5/25/2034,1987,Home,North,3,149.39,0.32,COD,6,1.7,304.76
+14529,5/26/2034,1249,Electronics,South,4,77.78,0.08,Card,9,4.8,286.23
+14530,5/27/2034,1452,Electronics,South,3,96.69,0.06,Wallet,8,1.4,272.67
+14531,5/28/2034,1519,Beauty,North,1,314.86,0.24,Card,6,2.5,239.29
+14532,5/29/2034,1152,Electronics,West,5,202.89,0.34,Card,6,4.7,669.54
+14533,5/30/2034,1858,Electronics,South,7,262.56,0.26,Card,6,3.4,1360.06
+14534,5/31/2034,1173,Beauty,North,2,589.76,0.1,Card,4,3.7,1061.57
+14535,6/1/2034,1342,Clothing,North,7,106.67,0.15,Card,5,2.2,634.69
+14536,6/2/2034,1669,Electronics,West,4,331.38,0.13,Wallet,3,1.3,1153.2
+14537,6/3/2034,1430,Electronics,East,2,72.84,0.3,COD,9,2.5,101.98
+14538,6/4/2034,1726,Electronics,North,3,201.32,0.27,Card,11,2.6,440.89
+14539,6/5/2034,1688,Electronics,South,3,323.6,0.21,COD,2,2.1,766.93
+14540,6/6/2034,1686,Beauty,West,6,568.78,0.1,COD,11,1.9,3071.41
+14541,6/7/2034,1851,Clothing,West,7,243.87,0.33,COD,7,2.4,1143.75
+14542,6/8/2034,1849,Home,West,5,52.97,0.23,Card,1,3.6,203.93
+14543,6/9/2034,1657,Beauty,East,3,242.07,0.34,Wallet,10,4.8,479.3
+14544,6/10/2034,1961,Clothing,East,5,100.26,0.2,Card,7,3.8,401.04
+14545,6/11/2034,1323,Electronics,South,6,149.54,0.29,Card,2,4.1,637.04
+14546,6/12/2034,1989,Clothing,South,4,376.58,0.28,Card,5,2.2,1084.55
+14547,6/13/2034,1672,Beauty,West,6,54.44,0.12,COD,1,1.4,287.44
+14548,6/14/2034,1638,Home,South,5,286.86,0.34,COD,5,2.2,946.64
+14549,6/15/2034,1419,Electronics,North,3,371.54,0.01,Card,11,2.6,1103.47
+14550,6/16/2034,1593,Home,East,1,261.79,0.27,Card,4,3.8,191.11
+14551,6/17/2034,1484,Clothing,West,5,26.19,0.34,COD,1,4.8,86.43
+14552,6/18/2034,1658,Beauty,West,2,591.53,0.12,COD,1,4.2,1041.09
+14553,6/19/2034,1750,Electronics,North,1,229.76,0.23,Card,7,2.1,176.92
+14554,6/20/2034,1411,Clothing,North,7,470.47,0.2,Wallet,3,4.3,2634.63
+14555,6/21/2034,1935,Beauty,North,5,205.5,0.27,Wallet,10,2.6,750.08
+14556,6/22/2034,1083,Clothing,North,2,292.88,0.3,Card,9,1.7,410.03
+14557,6/23/2034,1112,Clothing,West,7,242.25,0.21,COD,9,2.8,1339.64
+14558,6/24/2034,1736,Electronics,East,6,215.39,0.29,Card,10,3.3,917.56
+14559,6/25/2034,1331,Electronics,East,1,27.78,0.11,COD,11,4.1,24.72
+14560,6/26/2034,1377,Electronics,North,5,225.61,0.08,Card,9,2.4,1037.81
+14561,6/27/2034,1754,Beauty,South,4,535.35,0.15,Card,1,1.6,1820.19
+14562,6/28/2034,1654,Electronics,West,6,418.88,0.24,COD,4,1.4,1910.09
+14563,6/29/2034,1040,Clothing,East,2,100.07,0.07,Wallet,1,1.4,186.13
+14564,6/30/2034,1934,Home,North,4,360.83,0.24,Card,1,4.8,1096.92
+14565,7/1/2034,1769,Electronics,South,3,536.96,0.14,Card,9,4.8,1385.36
+14566,7/2/2034,1958,Clothing,South,6,424.52,0.28,Card,5,4.9,1833.93
+14567,7/3/2034,1796,Home,North,6,101.98,0.01,COD,1,2.2,605.76
+14568,7/4/2034,1104,Beauty,West,5,522.68,0.23,COD,11,1.8,2012.32
+14569,7/5/2034,1201,Clothing,East,5,191.4,0.23,COD,3,4.9,736.89
+14570,7/6/2034,1449,Home,South,2,280.63,0.33,COD,7,5,376.04
+14571,7/7/2034,1818,Electronics,East,6,322.79,0.25,COD,2,1.3,1452.56
+14572,7/8/2034,1842,Beauty,East,5,512.55,0.28,COD,4,4,1845.18
+14573,7/9/2034,1972,Electronics,South,3,559.99,0.32,COD,2,2.2,1142.38
+14574,7/10/2034,1265,Home,North,7,558.85,0.24,COD,9,4.6,2973.08
+14575,7/11/2034,1909,Electronics,South,7,19.65,0.1,Wallet,9,1.4,123.79
+14576,7/12/2034,1209,Beauty,South,7,554.3,0.3,Card,7,4.6,2716.07
+14577,7/13/2034,1562,Home,West,5,46.82,0.26,Card,7,1,173.23
+14578,7/14/2034,1117,Home,East,6,170.48,0.15,Card,2,3.1,869.45
+14579,7/15/2034,1712,Electronics,North,7,316.27,0.25,Wallet,10,2.3,1660.42
+14580,7/16/2034,1376,Clothing,East,1,295.76,0.3,Card,8,2.7,207.03
+14581,7/17/2034,1550,Clothing,South,4,368.76,0.34,Card,1,2.7,973.53
+14582,7/18/2034,1539,Home,North,6,295.48,0.33,Wallet,8,3.6,1187.83
+14583,7/19/2034,1770,Electronics,North,3,561.61,0.11,Wallet,5,1.1,1499.5
+14584,7/20/2034,1083,Beauty,North,6,155.72,0.15,Wallet,4,3.8,794.17
+14585,7/21/2034,1453,Beauty,North,3,175.3,0.04,Card,10,1.1,504.86
+14586,7/22/2034,1666,Electronics,West,6,553.63,0.09,Wallet,2,1.7,3022.82
+14587,7/23/2034,1628,Home,North,7,59.89,0.31,Card,3,3.4,289.27
+14588,7/24/2034,1513,Clothing,South,4,371.59,0.13,Card,10,1.3,1293.13
+14589,7/25/2034,1604,Clothing,West,4,413.82,0.22,Card,2,5,1291.12
+14590,7/26/2034,1677,Electronics,South,3,310.74,0.23,COD,11,4.1,717.81
+14591,7/27/2034,1386,Clothing,South,6,421.13,0.27,Card,4,3.8,1844.55
+14592,7/28/2034,1911,Home,East,4,116.06,0.06,COD,3,2.1,436.39
+14593,7/29/2034,1349,Clothing,North,2,513.79,0.11,Wallet,5,1.2,914.55
+14594,7/30/2034,1295,Clothing,North,6,96.92,0.16,Card,7,4.9,488.48
+14595,7/31/2034,1257,Home,South,4,249.48,0.13,Card,9,1.6,868.19
+14596,8/1/2034,1080,Home,North,1,59.03,0.34,Card,5,4.3,38.96
+14597,8/2/2034,1936,Electronics,West,1,333.95,0.29,Wallet,8,1.8,237.1
+14598,8/3/2034,1267,Beauty,East,2,406.8,0.17,Card,2,2.5,675.29
+14599,8/4/2034,1418,Clothing,North,4,565.61,0.31,Card,6,3.8,1561.08
+14600,8/5/2034,1234,Electronics,North,1,447.51,0.12,Card,8,4.8,393.81
+14601,8/6/2034,1832,Electronics,West,7,331.55,0.28,Wallet,9,1.1,1671.01
+14602,8/7/2034,1310,Clothing,East,6,560.58,0.08,Card,11,2,3094.4
+14603,8/8/2034,1812,Beauty,West,5,294.89,0.27,Card,4,4.1,1076.35
+14604,8/9/2034,1974,Clothing,South,4,343.31,0.16,Card,4,1.7,1153.52
+14605,8/10/2034,1985,Home,South,2,363.72,0.04,Wallet,7,1.4,698.34
+14606,8/11/2034,1356,Electronics,North,4,254.84,0.1,Card,4,1.2,917.42
+14607,8/12/2034,1212,Clothing,East,3,505.51,0.14,COD,5,3,1304.22
+14608,8/13/2034,1573,Beauty,South,3,123.33,0.26,Card,2,4.1,273.79
+14609,8/14/2034,1048,Home,West,1,339.58,0.03,Wallet,2,4.8,329.39
+14610,8/15/2034,1126,Electronics,South,3,437.51,0.23,COD,11,2.1,1010.65
+14611,8/16/2034,1222,Clothing,South,2,543.83,0.25,COD,10,1.5,815.75
+14612,8/17/2034,1920,Electronics,West,1,532.09,0.23,Card,5,2.6,409.71
+14613,8/18/2034,1278,Clothing,North,2,312.61,0.27,Card,10,1.2,456.41
+14614,8/19/2034,1407,Home,East,6,391.25,0.06,Card,10,2.3,2206.65
+14615,8/20/2034,1504,Home,North,2,245.63,0.21,COD,2,3.6,388.1
+14616,8/21/2034,1293,Electronics,West,3,288.88,0.33,Wallet,6,1.7,580.65
+14617,8/22/2034,1795,Beauty,South,6,545.17,0.21,Card,6,3.5,2584.11
+14618,8/23/2034,1276,Clothing,East,3,559.46,0.21,Wallet,8,4.9,1325.92
+14619,8/24/2034,1437,Clothing,North,2,538.82,0.26,Card,1,4.5,797.45
+14620,8/25/2034,1106,Clothing,West,3,95.95,0.12,Wallet,7,2.4,253.31
+14621,8/26/2034,1657,Clothing,South,3,512.3,0.25,Card,7,2.7,1152.68
+14622,8/27/2034,1419,Clothing,South,3,569.79,0.32,Card,9,2.7,1162.37
+14623,8/28/2034,1610,Clothing,North,4,226.33,0,COD,4,4.4,905.32
+14624,8/29/2034,1428,Clothing,West,6,318.41,0.3,COD,7,5,1337.32
+14625,8/30/2034,1374,Electronics,South,6,470.77,0.08,COD,6,4.3,2598.65
+14626,8/31/2034,1072,Home,South,7,343.82,0.16,COD,4,3.2,2021.66
+14627,9/1/2034,1948,Clothing,East,6,596.19,0.3,COD,10,1.4,2504
+14628,9/2/2034,1997,Electronics,South,7,281.59,0.29,Card,8,4.8,1399.5
+14629,9/3/2034,1633,Home,North,2,432.66,0.31,Card,3,4.4,597.07
+14630,9/4/2034,1029,Beauty,West,7,478.67,0.33,Card,8,4.4,2244.96
+14631,9/5/2034,1187,Beauty,West,7,304.05,0.16,COD,5,2.6,1787.81
+14632,9/6/2034,1363,Clothing,East,5,516.34,0.23,COD,4,2.8,1987.91
+14633,9/7/2034,1865,Electronics,West,2,334.5,0.14,COD,3,1.5,575.34
+14634,9/8/2034,1799,Clothing,North,6,255.82,0.12,COD,10,4.8,1350.73
+14635,9/9/2034,1450,Electronics,South,1,78.08,0.15,Card,7,4.8,66.37
+14636,9/10/2034,1194,Beauty,East,3,245.15,0.26,COD,7,2,544.23
+14637,9/11/2034,1155,Electronics,West,3,444.35,0.18,Card,6,3.8,1093.1
+14638,9/12/2034,1171,Electronics,East,5,553.95,0.28,COD,3,1.8,1994.22
+14639,9/13/2034,1846,Clothing,East,1,162.23,0.26,Card,9,2.6,120.05
+14640,9/14/2034,1040,Clothing,West,4,222.81,0.01,COD,11,2.2,882.33
+14641,9/15/2034,1062,Home,East,7,105.07,0.22,COD,2,2.6,573.68
+14642,9/16/2034,1022,Clothing,West,2,419.07,0.15,Card,3,2.2,712.42
+14643,9/17/2034,1359,Electronics,North,4,576.71,0.16,COD,1,2.4,1937.75
+14644,9/18/2034,1074,Electronics,West,1,389.96,0.29,Card,7,4.2,276.87
+14645,9/19/2034,1559,Clothing,South,5,375.99,0.19,Card,2,2.2,1522.76
+14646,9/20/2034,1671,Electronics,West,1,338.79,0.31,COD,10,4.3,233.77
+14647,9/21/2034,1824,Clothing,South,5,66.75,0.25,Wallet,8,3.3,250.31
+14648,9/22/2034,1117,Clothing,East,4,441.76,0.19,Card,9,4.1,1431.3
+14649,9/23/2034,1611,Home,West,4,367.2,0.26,Card,11,4.7,1086.91
+14650,9/24/2034,1379,Beauty,South,1,401.96,0.01,COD,2,1.6,397.94
+14651,9/25/2034,1928,Beauty,West,1,540.8,0.01,COD,6,2.4,535.39
+14652,9/26/2034,1919,Beauty,West,7,473.62,0.03,Card,11,1.2,3215.88
+14653,9/27/2034,1678,Electronics,West,3,471.84,0.15,Wallet,1,2.6,1203.19
+14654,9/28/2034,1289,Electronics,North,5,557.4,0.08,COD,8,1.9,2564.04
+14655,9/29/2034,1439,Electronics,South,3,594.11,0.34,Card,5,3.3,1176.34
+14656,9/30/2034,1667,Beauty,North,2,355.05,0.19,Card,9,4.1,575.18
+14657,10/1/2034,1932,Beauty,North,2,78.7,0.23,COD,3,2.9,121.2
+14658,10/2/2034,1006,Beauty,South,1,283.59,0.1,COD,2,2.3,255.23
+14659,10/3/2034,1195,Electronics,West,4,475.75,0.11,Card,7,1.6,1693.67
+14660,10/4/2034,1420,Beauty,North,2,31.22,0.12,Wallet,11,1.1,54.95
+14661,10/5/2034,1567,Clothing,North,2,48.28,0.24,Card,7,3.7,73.39
+14662,10/6/2034,1832,Electronics,North,3,54.29,0.17,COD,10,1.1,135.18
+14663,10/7/2034,1192,Clothing,West,3,442.66,0.18,Card,5,4.7,1088.94
+14664,10/8/2034,1558,Electronics,North,7,308.18,0.21,Wallet,7,3.4,1704.24
+14665,10/9/2034,1147,Clothing,East,7,230.81,0.27,COD,6,2.4,1179.44
+14666,10/10/2034,1786,Electronics,South,2,76.79,0.03,Card,9,1.2,148.97
+14667,10/11/2034,1668,Clothing,East,1,443.36,0.27,Wallet,3,2.7,323.65
+14668,10/12/2034,1201,Clothing,West,3,202.8,0.2,Card,4,4.5,486.72
+14669,10/13/2034,1443,Beauty,North,2,170.21,0.23,COD,9,4.9,262.12
+14670,10/14/2034,1913,Home,South,4,396.61,0.11,Wallet,10,1.3,1411.93
+14671,10/15/2034,1987,Clothing,North,3,342.02,0.14,COD,8,4.1,882.41
+14672,10/16/2034,1418,Home,West,2,227.01,0.08,Wallet,10,2,417.7
+14673,10/17/2034,1426,Beauty,South,7,390.27,0.34,Wallet,6,2.5,1803.05
+14674,10/18/2034,1478,Electronics,East,5,173.66,0.17,Wallet,3,3.2,720.69
+14675,10/19/2034,1474,Clothing,South,3,479.98,0.35,Card,9,5,935.96
+14676,10/20/2034,1125,Electronics,North,5,149.15,0.17,Card,9,1.8,618.97
+14677,10/21/2034,1394,Electronics,South,3,107.92,0.08,COD,11,1.5,297.86
+14678,10/22/2034,1816,Home,West,3,472.73,0.18,COD,6,3.4,1162.92
+14679,10/23/2034,1880,Beauty,West,7,429.12,0.01,COD,2,4.4,2973.8
+14680,10/24/2034,1805,Electronics,South,6,121.84,0.32,Card,7,3.6,497.11
+14681,10/25/2034,1575,Home,West,6,83,0.29,Wallet,9,2.4,353.58
+14682,10/26/2034,1324,Beauty,West,5,505.46,0.25,Wallet,9,4.9,1895.48
+14683,10/27/2034,1391,Beauty,West,1,469.31,0.21,Card,3,5,370.75
+14684,10/28/2034,1929,Electronics,East,2,206.45,0.2,Card,2,4.1,330.32
+14685,10/29/2034,1687,Beauty,North,1,400.05,0.35,Card,5,4.2,260.03
+14686,10/30/2034,1627,Electronics,West,1,87.63,0.1,Card,11,4,78.87
+14687,10/31/2034,1439,Clothing,South,6,311.62,0.27,COD,10,2,1364.9
+14688,11/1/2034,1203,Electronics,West,2,25.96,0.2,Wallet,7,1.6,41.54
+14689,11/2/2034,1485,Electronics,East,6,244.09,0.34,Card,3,3.2,966.6
+14690,11/3/2034,1832,Home,South,6,58.78,0.29,COD,4,4.8,250.4
+14691,11/4/2034,1030,Clothing,North,7,292.96,0.35,COD,10,4.5,1332.97
+14692,11/5/2034,1387,Electronics,South,6,261.68,0.21,Card,2,1.4,1240.36
+14693,11/6/2034,1624,Electronics,South,4,274.97,0.07,COD,11,1.2,1022.89
+14694,11/7/2034,1876,Home,South,1,41.52,0.18,COD,10,4.5,34.05
+14695,11/8/2034,1433,Electronics,South,7,226.55,0.25,Wallet,2,3.5,1189.39
+14696,11/9/2034,1836,Home,West,7,457.54,0.27,COD,7,2.2,2338.03
+14697,11/10/2034,1925,Electronics,North,1,230.81,0,COD,2,3.2,230.81
+14698,11/11/2034,1375,Electronics,West,7,433.38,0.18,Card,1,1.9,2487.6
+14699,11/12/2034,1343,Clothing,East,1,231.15,0.08,Card,4,4.8,212.66
+14700,11/13/2034,1442,Clothing,East,4,262.6,0.31,Card,6,4.3,724.78
+14701,11/14/2034,1578,Clothing,South,3,344.88,0.05,Card,10,4.8,982.91
+14702,11/15/2034,1074,Electronics,West,7,571.15,0.23,Card,10,1.7,3078.5
+14703,11/16/2034,1556,Beauty,West,5,78.68,0.09,Card,4,4.4,357.99
+14704,11/17/2034,1771,Clothing,North,5,34.25,0.12,COD,1,3.2,150.7
+14705,11/18/2034,1665,Electronics,North,4,370.65,0.33,COD,1,2.3,993.34
+14706,11/19/2034,1154,Clothing,North,1,570.22,0.08,Card,9,2.9,524.6
+14707,11/20/2034,1429,Beauty,West,5,593.99,0.03,Card,1,4.8,2880.85
+14708,11/21/2034,1362,Electronics,North,4,298.24,0.02,COD,7,3.8,1169.1
+14709,11/22/2034,1447,Electronics,North,6,288.83,0.18,Card,11,2.4,1421.04
+14710,11/23/2034,1986,Home,North,2,392.3,0.22,Card,7,5,611.99
+14711,11/24/2034,1233,Clothing,South,5,340.05,0.11,COD,1,2.4,1513.22
+14712,11/25/2034,1562,Clothing,East,2,385.94,0.24,Card,1,4.3,586.63
+14713,11/26/2034,1817,Electronics,East,1,526.29,0.02,Card,6,4.1,515.76
+14714,11/27/2034,1261,Electronics,West,5,451.59,0.3,Card,8,3.9,1580.56
+14715,11/28/2034,1826,Clothing,West,4,305.67,0.29,Card,7,3.7,868.1
+14716,11/29/2034,1124,Electronics,South,3,285.19,0.34,Wallet,6,1.4,564.68
+14717,11/30/2034,1910,Clothing,East,5,389.17,0.33,Card,10,5,1303.72
+14718,12/1/2034,1244,Clothing,North,5,281.59,0.12,COD,3,1.6,1239
+14719,12/2/2034,1541,Electronics,North,5,282.8,0.14,COD,11,3.4,1216.04
+14720,12/3/2034,1937,Beauty,West,5,24.54,0.26,Card,7,2,90.8
+14721,12/4/2034,1484,Home,East,4,116.83,0.05,Card,6,1.7,443.95
+14722,12/5/2034,1121,Home,West,4,300.78,0.11,Wallet,8,3.2,1070.78
+14723,12/6/2034,1124,Electronics,West,3,496.25,0.04,Wallet,4,4.3,1429.2
+14724,12/7/2034,1548,Electronics,North,4,178.06,0.16,Card,9,2.5,598.28
+14725,12/8/2034,1169,Clothing,North,4,320.75,0.19,Card,1,1.3,1039.23
+14726,12/9/2034,1123,Electronics,East,1,216.8,0.07,COD,7,3.5,201.62
+14727,12/10/2034,1868,Beauty,West,7,76.31,0.01,Card,9,4.1,528.83
+14728,12/11/2034,1034,Electronics,South,1,575.6,0.25,Card,10,2.2,431.7
+14729,12/12/2034,1086,Clothing,East,7,514.98,0.01,Card,1,3.8,3568.81
+14730,12/13/2034,1645,Clothing,West,2,60.92,0.34,Card,10,1.3,80.41
+14731,12/14/2034,1707,Clothing,East,3,436.08,0.08,Card,3,2.4,1203.58
+14732,12/15/2034,1785,Electronics,East,7,218.33,0.23,COD,7,2.9,1176.8
+14733,12/16/2034,1200,Clothing,East,1,596.99,0.15,COD,9,4.1,507.44
+14734,12/17/2034,1368,Electronics,South,3,191.9,0.02,COD,1,2.4,564.19
+14735,12/18/2034,1796,Beauty,South,3,154.66,0.17,Card,6,2.8,385.1
+14736,12/19/2034,1076,Electronics,North,5,347.22,0.18,Card,11,3.5,1423.6
+14737,12/20/2034,1058,Beauty,North,6,503.55,0.3,COD,2,3.5,2114.91
+14738,12/21/2034,1430,Home,West,6,127.62,0.26,Card,5,3.1,566.63
+14739,12/22/2034,1637,Electronics,East,6,430,0.03,Card,7,2.3,2502.6
+14740,12/23/2034,1499,Home,West,3,50.92,0.07,Card,7,3.7,142.07
+14741,12/24/2034,1912,Electronics,North,5,552.58,0.11,Card,10,4.3,2458.98
+14742,12/25/2034,1108,Beauty,South,2,62.43,0.04,Wallet,7,1.6,119.87
+14743,12/26/2034,1735,Clothing,North,2,549.83,0.16,COD,4,2.4,923.71
+14744,12/27/2034,1277,Electronics,West,6,302.12,0.34,Card,6,3.7,1196.4
+14745,12/28/2034,1067,Clothing,North,2,277.13,0.18,COD,11,4,454.49
+14746,12/29/2034,1068,Electronics,West,5,584.38,0.26,Card,10,4.1,2162.21
+14747,12/30/2034,1164,Beauty,West,6,594.37,0.24,Card,6,3.6,2710.33
+14748,12/31/2034,1488,Electronics,West,7,395.35,0.3,Card,7,2.9,1937.22
+14749,1/1/2035,1304,Home,West,7,89.36,0.08,COD,9,3.6,575.48
+14750,1/2/2035,1908,Clothing,North,5,311.11,0.26,Card,6,1.5,1151.11
+14751,1/3/2035,1673,Beauty,West,2,324.56,0.31,Card,10,1.8,447.89
+14752,1/4/2035,1364,Electronics,West,6,315.95,0.06,Card,1,4.7,1781.96
+14753,1/5/2035,1853,Clothing,East,7,348.15,0.12,Card,8,4.7,2144.6
+14754,1/6/2035,1820,Clothing,West,5,25.95,0.34,COD,2,3.9,85.64
+14755,1/7/2035,1378,Home,North,4,431.07,0.27,Wallet,3,2.3,1258.72
+14756,1/8/2035,1342,Electronics,West,7,431.75,0.1,COD,5,3.6,2720.02
+14757,1/9/2035,1946,Electronics,South,4,82.55,0.2,COD,6,3.8,264.16
+14758,1/10/2035,1898,Electronics,South,5,348.59,0.14,Wallet,7,3.1,1498.94
+14759,1/11/2035,1553,Home,West,5,347.49,0.17,Card,4,4,1442.08
+14760,1/12/2035,1353,Electronics,South,1,414.23,0.12,Card,3,1.1,364.52
+14761,1/13/2035,1415,Clothing,South,7,64.96,0.1,Card,9,2,409.25
+14762,1/14/2035,1108,Electronics,North,1,381.5,0.24,Card,4,4.2,289.94
+14763,1/15/2035,1562,Beauty,East,3,179.24,0.27,Card,9,4.8,392.54
+14764,1/16/2035,1761,Beauty,South,7,311.6,0.31,Card,9,4.5,1505.03
+14765,1/17/2035,1496,Clothing,South,6,467.39,0.05,Card,11,3.9,2664.12
+14766,1/18/2035,1340,Clothing,East,3,427.8,0.29,COD,3,1.7,911.21
+14767,1/19/2035,1941,Electronics,East,3,84.56,0.09,Wallet,3,2.5,230.85
+14768,1/20/2035,1382,Electronics,South,2,360.84,0.15,Card,11,1.2,613.43
+14769,1/21/2035,1532,Electronics,West,4,581.93,0.32,Card,8,3.6,1582.85
+14770,1/22/2035,1299,Home,South,2,106.71,0.16,COD,1,2.8,179.27
+14771,1/23/2035,1138,Clothing,West,6,513.95,0.07,Card,6,3.3,2867.84
+14772,1/24/2035,1358,Beauty,West,5,425.99,0.06,Card,6,4.9,2002.15
+14773,1/25/2035,1835,Clothing,West,1,467.79,0.17,Card,9,2.6,388.27
+14774,1/26/2035,1498,Home,East,6,179.95,0.27,COD,2,2.2,788.18
+14775,1/27/2035,1384,Clothing,South,5,183.42,0.35,Wallet,8,1.6,596.12
+14776,1/28/2035,1603,Clothing,South,6,545.02,0.28,COD,7,1.6,2354.49
+14777,1/29/2035,1958,Electronics,North,5,225.5,0.31,Card,2,3.1,777.97
+14778,1/30/2035,1279,Clothing,East,7,51.86,0.26,Card,1,4,268.63
+14779,1/31/2035,1636,Clothing,North,1,366.35,0.31,Card,4,3.3,252.78
+14780,2/1/2035,1482,Home,North,5,88.02,0.03,Wallet,2,4.5,426.9
+14781,2/2/2035,1908,Beauty,West,3,481.01,0.33,COD,3,2.3,966.83
+14782,2/3/2035,1110,Electronics,East,6,390.42,0.14,Card,2,3.4,2014.57
+14783,2/4/2035,1865,Electronics,North,1,526.72,0.32,COD,9,3.6,358.17
+14784,2/5/2035,1138,Clothing,South,5,474.13,0.03,Card,4,2.1,2299.53
+14785,2/6/2035,1995,Clothing,North,3,80.59,0.25,Wallet,1,2.6,181.33
+14786,2/7/2035,1434,Electronics,East,3,237.93,0.26,Wallet,8,3.4,528.2
+14787,2/8/2035,1508,Home,South,7,468.12,0.35,Card,4,1.1,2129.95
+14788,2/9/2035,1272,Beauty,South,4,259.14,0.27,COD,10,4.5,756.69
+14789,2/10/2035,1098,Beauty,South,3,583.83,0.13,COD,11,1.4,1523.8
+14790,2/11/2035,1763,Electronics,West,2,445.41,0.2,Card,11,1.2,712.66
+14791,2/12/2035,1849,Beauty,South,1,24.07,0.13,COD,8,1.9,20.94
+14792,2/13/2035,1103,Home,West,1,529.79,0.07,COD,8,3,492.7
+14793,2/14/2035,1213,Clothing,West,1,73.97,0.09,Card,9,2.3,67.31
+14794,2/15/2035,1760,Clothing,North,5,97.21,0.08,COD,10,2.8,447.17
+14795,2/16/2035,1663,Home,North,6,444.68,0.19,COD,7,1.3,2161.14
+14796,2/17/2035,1761,Clothing,South,5,521.01,0.32,Card,4,1.9,1771.43
+14797,2/18/2035,1786,Clothing,East,2,328.76,0.32,Card,2,1.4,447.11
+14798,2/19/2035,1164,Clothing,South,6,184.09,0.02,COD,6,1.9,1082.45
+14799,2/20/2035,1998,Clothing,North,7,220.52,0.03,Card,4,3.8,1497.33
+14800,2/21/2035,1852,Electronics,South,3,215.59,0.09,Wallet,6,3.3,588.56
+14801,2/22/2035,1519,Beauty,North,5,206.11,0.09,Card,8,2.3,937.8
+14802,2/23/2035,1283,Home,South,6,157.1,0.03,Card,3,2,914.32
+14803,2/24/2035,1516,Clothing,East,3,371.19,0.14,Card,1,5,957.67
+14804,2/25/2035,1656,Electronics,South,6,541.74,0.21,COD,5,4.1,2567.85
+14805,2/26/2035,1612,Clothing,East,3,194.64,0.2,COD,3,4.3,467.14
+14806,2/27/2035,1163,Electronics,East,6,124.22,0.19,Card,6,1.1,603.71
+14807,2/28/2035,1885,Electronics,South,5,505.57,0.12,Card,3,1.2,2224.51
+14808,3/1/2035,1658,Clothing,East,5,448.94,0.25,Wallet,1,3.9,1683.52
+14809,3/2/2035,1063,Clothing,East,2,559.54,0.29,Card,9,1.8,794.55
+14810,3/3/2035,1090,Clothing,North,7,111.83,0.12,Card,5,2.7,688.87
+14811,3/4/2035,1116,Electronics,North,7,99.39,0.03,Card,2,1.7,674.86
+14812,3/5/2035,1865,Clothing,East,4,331.74,0.1,Card,2,1.7,1194.26
+14813,3/6/2035,1266,Electronics,West,1,374.44,0.05,Card,11,1.4,355.72
+14814,3/7/2035,1821,Beauty,South,5,295.9,0.16,Card,9,3.4,1242.78
+14815,3/8/2035,1684,Clothing,East,5,365.4,0.05,Card,1,4,1735.65
+14816,3/9/2035,1558,Home,South,3,120.52,0.16,Wallet,10,1.2,303.71
+14817,3/10/2035,1139,Electronics,North,4,295.57,0.08,Card,3,2.1,1087.7
+14818,3/11/2035,1245,Electronics,South,7,399.98,0.26,COD,10,3.6,2071.9
+14819,3/12/2035,1660,Beauty,East,5,268.13,0.01,COD,11,2.6,1327.24
+14820,3/13/2035,1757,Electronics,East,6,412.48,0.19,Card,7,3.8,2004.65
+14821,3/14/2035,1394,Clothing,East,7,278.95,0.06,COD,1,4,1835.49
+14822,3/15/2035,1486,Clothing,East,4,210.16,0,Card,2,1.1,840.64
+14823,3/16/2035,1475,Electronics,West,1,192.61,0.3,Card,6,2.5,134.83
+14824,3/17/2035,1516,Home,West,6,255.38,0.24,Wallet,9,3.9,1164.53
+14825,3/18/2035,1976,Clothing,West,3,28.51,0.03,COD,9,2.5,82.96
+14826,3/19/2035,1183,Electronics,East,2,406.09,0.23,Wallet,8,1,625.38
+14827,3/20/2035,1019,Electronics,West,6,509.39,0.21,Wallet,3,2.3,2414.51
+14828,3/21/2035,1936,Electronics,South,7,222.46,0.17,Card,2,4.5,1292.49
+14829,3/22/2035,1557,Beauty,East,1,41.93,0.15,Card,1,4.8,35.64
+14830,3/23/2035,1523,Home,North,6,592.26,0.31,Card,11,3.2,2451.96
+14831,3/24/2035,1581,Electronics,East,4,169.26,0.09,Wallet,11,2.2,616.11
+14832,3/25/2035,1528,Electronics,South,4,89.07,0.14,Wallet,9,2.9,306.4
+14833,3/26/2035,1882,Home,West,1,231.31,0.12,COD,5,1.9,203.55
+14834,3/27/2035,1146,Clothing,East,7,447.06,0.27,Card,3,1.7,2284.48
+14835,3/28/2035,1665,Clothing,West,4,186.94,0.32,Card,10,3,508.48
+14836,3/29/2035,1303,Clothing,East,6,351.2,0.3,Wallet,10,3.9,1475.04
+14837,3/30/2035,1619,Electronics,South,2,258.1,0.28,Wallet,11,1.9,371.66
+14838,3/31/2035,1747,Home,East,6,83.89,0.35,Card,5,4.6,327.17
+14839,4/1/2035,1819,Beauty,West,2,208.22,0.24,Card,11,1.7,316.49
+14840,4/2/2035,1863,Electronics,West,4,439.05,0.26,Card,3,3.2,1299.59
+14841,4/3/2035,1581,Clothing,South,6,373.02,0.34,Card,9,4.1,1477.16
+14842,4/4/2035,1694,Clothing,East,4,85.07,0,Wallet,1,1.9,340.28
+14843,4/5/2035,1761,Clothing,North,7,110.54,0.22,COD,1,2.2,603.55
+14844,4/6/2035,1227,Electronics,East,2,389.83,0.26,COD,3,1.2,576.95
+14845,4/7/2035,1101,Home,South,7,490.85,0.32,Card,6,4.8,2336.45
+14846,4/8/2035,1586,Clothing,North,4,219.44,0.31,Card,11,2.9,605.65
+14847,4/9/2035,1416,Clothing,South,5,363.26,0.29,Card,2,1.3,1289.57
+14848,4/10/2035,1957,Electronics,East,3,114.83,0.33,COD,1,4.3,230.81
+14849,4/11/2035,1215,Electronics,North,6,197.16,0.19,COD,8,3.3,958.2
+14850,4/12/2035,1406,Electronics,South,5,26.86,0,Card,11,1.2,134.3
+14851,4/13/2035,1398,Home,West,7,464.44,0,Card,10,2.8,3251.08
+14852,4/14/2035,1922,Electronics,North,4,249.59,0.19,Card,9,2.7,808.67
+14853,4/15/2035,1714,Home,North,4,492.43,0.15,Card,10,1.6,1674.26
+14854,4/16/2035,1703,Clothing,South,3,429.4,0.16,COD,1,2.7,1082.09
+14855,4/17/2035,1760,Clothing,West,4,499.82,0.14,COD,3,2.1,1719.38
+14856,4/18/2035,1498,Clothing,North,3,182.11,0.32,Card,5,3.8,371.5
+14857,4/19/2035,1753,Clothing,South,6,123.29,0.13,Wallet,7,1,643.57
+14858,4/20/2035,1464,Electronics,North,2,583.56,0.3,COD,10,1.4,816.98
+14859,4/21/2035,1690,Electronics,North,3,434.64,0.32,Card,4,4.7,886.67
+14860,4/22/2035,1948,Home,North,3,502.91,0.17,Card,6,2.7,1252.25
+14861,4/23/2035,1973,Home,West,5,22.68,0.16,Wallet,1,1.7,95.26
+14862,4/24/2035,1730,Electronics,East,4,222.36,0.27,COD,4,4.2,649.29
+14863,4/25/2035,1081,Clothing,East,6,449.55,0.25,Card,8,4.4,2022.98
+14864,4/26/2035,1603,Electronics,West,2,60.62,0.11,COD,5,1.8,107.9
+14865,4/27/2035,1946,Electronics,West,1,346.89,0.04,Card,8,3.9,333.01
+14866,4/28/2035,1686,Electronics,South,7,266.01,0.09,Wallet,1,3.5,1694.48
+14867,4/29/2035,1750,Beauty,North,3,25.31,0.05,Wallet,10,4,72.13
+14868,4/30/2035,1771,Electronics,West,1,153.05,0.1,COD,9,4.2,137.74
+14869,5/1/2035,1902,Electronics,South,4,181.6,0.09,COD,4,3.6,661.02
+14870,5/2/2035,1364,Electronics,East,7,80.44,0.22,Card,9,4.8,439.2
+14871,5/3/2035,1162,Electronics,East,3,384.45,0.33,COD,8,4.5,772.74
+14872,5/4/2035,1047,Clothing,East,1,156.8,0.24,COD,8,1.9,119.17
+14873,5/5/2035,1510,Electronics,East,5,177.41,0.32,COD,2,4.7,603.19
+14874,5/6/2035,1328,Electronics,South,1,540.47,0.27,COD,3,2.4,394.54
+14875,5/7/2035,1839,Clothing,North,7,288.27,0.25,Wallet,10,3.9,1513.42
+14876,5/8/2035,1115,Electronics,South,5,244.39,0.14,Card,9,4.4,1050.88
+14877,5/9/2035,1940,Home,North,7,438.46,0.11,Card,3,2.7,2731.61
+14878,5/10/2035,1848,Clothing,East,2,547.12,0.3,COD,8,1.2,765.97
+14879,5/11/2035,1336,Electronics,West,4,29.65,0.32,Wallet,5,4.8,80.65
+14880,5/12/2035,1880,Home,West,6,277.22,0.16,Wallet,7,1.3,1397.19
+14881,5/13/2035,1736,Electronics,West,1,372.31,0,COD,4,2.4,372.31
+14882,5/14/2035,1863,Clothing,North,3,201.36,0.28,Wallet,8,3.4,434.94
+14883,5/15/2035,1839,Clothing,East,7,466.86,0.1,COD,4,1.5,2941.22
+14884,5/16/2035,1146,Electronics,South,7,583.31,0,Card,5,4.4,4083.17
+14885,5/17/2035,1574,Clothing,West,4,566.91,0.28,COD,1,1.8,1632.7
+14886,5/18/2035,1805,Beauty,North,1,170.6,0.18,Card,10,4.9,139.89
+14887,5/19/2035,1322,Beauty,West,3,147.41,0.24,Card,8,4.7,336.09
+14888,5/20/2035,1442,Clothing,South,3,575.13,0.32,Card,7,3.4,1173.27
+14889,5/21/2035,1836,Clothing,East,7,283.3,0.19,Card,11,3.6,1606.31
+14890,5/22/2035,1012,Electronics,South,6,136.85,0.18,Card,5,3.1,673.3
+14891,5/23/2035,1942,Electronics,East,7,428.59,0.1,Card,6,2.6,2700.12
+14892,5/24/2035,1493,Clothing,East,6,181.39,0.11,Card,1,2.4,968.62
+14893,5/25/2035,1700,Clothing,East,7,171.34,0.28,Card,8,4.6,863.55
+14894,5/26/2035,1286,Beauty,West,7,529.36,0.16,COD,9,3.3,3112.64
+14895,5/27/2035,1719,Clothing,South,3,110.05,0.06,COD,11,4.3,310.34
+14896,5/28/2035,1113,Clothing,West,6,52.67,0.03,Wallet,5,3.1,306.54
+14897,5/29/2035,1479,Clothing,South,3,172.47,0.17,Wallet,10,2.2,429.45
+14898,5/30/2035,1021,Home,North,1,370.06,0.16,Card,7,1.4,310.85
+14899,5/31/2035,1348,Home,North,7,87.01,0.23,COD,10,2.3,468.98
+14900,6/1/2035,1725,Clothing,South,2,290.88,0.16,Card,4,4.5,488.68
+14901,6/2/2035,1682,Electronics,South,6,381.99,0.05,Card,6,3.8,2177.34
+14902,6/3/2035,1834,Home,South,5,511.51,0.18,COD,2,4.1,2097.19
+14903,6/4/2035,1565,Electronics,South,5,149.47,0.32,COD,4,4.1,508.2
+14904,6/5/2035,1905,Beauty,East,5,493.15,0.06,Wallet,5,1.5,2317.8
+14905,6/6/2035,1809,Clothing,West,2,152.42,0.24,COD,9,1.6,231.68
+14906,6/7/2035,1319,Clothing,East,3,410.91,0.21,Card,9,2.3,973.86
+14907,6/8/2035,1125,Clothing,West,3,266.94,0.26,Wallet,8,2.2,592.61
+14908,6/9/2035,1276,Home,West,4,82.09,0.05,COD,4,1.3,311.94
+14909,6/10/2035,1975,Electronics,West,5,432.84,0.33,Wallet,6,1.6,1450.01
+14910,6/11/2035,1203,Beauty,East,5,142.39,0.22,COD,7,4.4,555.32
+14911,6/12/2035,1193,Clothing,South,3,118.32,0.3,Card,1,3.4,248.47
+14912,6/13/2035,1680,Electronics,East,5,224.62,0.09,Card,1,2.4,1022.02
+14913,6/14/2035,1663,Electronics,East,3,397.17,0.26,Card,4,3.1,881.72
+14914,6/15/2035,1546,Clothing,West,7,151.89,0.27,Card,3,2,776.16
+14915,6/16/2035,1695,Clothing,North,7,122.44,0.14,Card,10,3.3,737.09
+14916,6/17/2035,1285,Clothing,North,3,20.82,0.13,COD,4,1.3,54.34
+14917,6/18/2035,1056,Home,East,6,290.91,0.23,Wallet,9,4.6,1344
+14918,6/19/2035,1733,Clothing,West,3,265.76,0.03,Wallet,2,2,773.36
+14919,6/20/2035,1302,Beauty,East,1,151.81,0.26,COD,4,4.3,112.34
+14920,6/21/2035,1162,Clothing,East,1,46.39,0.02,Card,7,3.6,45.46
+14921,6/22/2035,1018,Home,South,1,266.11,0.07,Card,2,3.1,247.48
+14922,6/23/2035,1369,Electronics,West,1,476.1,0.23,COD,8,4.7,366.6
+14923,6/24/2035,1263,Clothing,North,2,433.44,0.03,Card,10,1.6,840.87
+14924,6/25/2035,1793,Electronics,North,4,518.57,0.34,Wallet,4,1.5,1369.02
+14925,6/26/2035,1112,Clothing,North,4,20.61,0.3,Wallet,9,2.3,57.71
+14926,6/27/2035,1487,Beauty,East,3,580.36,0.22,Card,1,4.3,1358.04
+14927,6/28/2035,1326,Electronics,West,7,214.73,0.29,COD,7,1.1,1067.21
+14928,6/29/2035,1541,Electronics,South,5,594.38,0.31,Card,1,2,2050.61
+14929,6/30/2035,1646,Beauty,North,1,162.78,0.09,COD,11,2.7,148.13
+14930,7/1/2035,1578,Electronics,West,4,290.85,0.3,Card,10,3.9,814.38
+14931,7/2/2035,1064,Home,North,4,222.05,0.07,Card,11,2.2,826.03
+14932,7/3/2035,1291,Clothing,South,1,223.12,0.14,COD,9,2.8,191.88
+14933,7/4/2035,1024,Home,West,7,507.74,0.2,COD,10,2.3,2843.34
+14934,7/5/2035,1548,Electronics,East,2,451.66,0.25,COD,10,1.4,677.49
+14935,7/6/2035,1000,Electronics,East,2,595.41,0.01,COD,1,4,1178.91
+14936,7/7/2035,1910,Clothing,North,4,373.91,0.1,COD,3,2.8,1346.08
+14937,7/8/2035,1548,Beauty,North,2,286.01,0.21,COD,7,4.3,451.9
+14938,7/9/2035,1140,Clothing,West,6,67.69,0.13,Wallet,1,3.8,353.34
+14939,7/10/2035,1743,Electronics,South,1,597.99,0.27,Wallet,5,1.2,436.53
+14940,7/11/2035,1647,Clothing,North,7,337.65,0.23,COD,6,3,1819.93
+14941,7/12/2035,1900,Beauty,West,4,424.78,0.08,COD,3,5,1563.19
+14942,7/13/2035,1187,Home,South,1,252.94,0.05,COD,6,2.2,240.29
+14943,7/14/2035,1127,Beauty,North,2,335.41,0.22,Card,4,3,523.24
+14944,7/15/2035,1200,Electronics,North,1,566.41,0.16,Card,6,3.6,475.78
+14945,7/16/2035,1126,Electronics,West,2,112.36,0.06,Wallet,6,1.8,211.24
+14946,7/17/2035,1256,Clothing,North,7,186.04,0.11,Wallet,4,3.8,1159.03
+14947,7/18/2035,1675,Home,East,2,103.95,0.11,COD,1,3.6,185.03
+14948,7/19/2035,1546,Electronics,South,1,478.45,0.04,Card,3,2.5,459.31
+14949,7/20/2035,1193,Electronics,South,7,51.3,0.19,Card,11,2.1,290.87
+14950,7/21/2035,1702,Home,East,2,62.75,0.27,Card,10,4.7,91.62
+14951,7/22/2035,1103,Electronics,West,6,189.62,0.2,Card,7,1.5,910.18
+14952,7/23/2035,1534,Clothing,East,3,315.8,0.29,COD,2,2.7,672.65
+14953,7/24/2035,1264,Clothing,East,1,252.67,0.04,Wallet,4,4.1,242.56
+14954,7/25/2035,1801,Clothing,South,3,41.22,0.15,Card,6,1.6,105.11
+14955,7/26/2035,1941,Home,West,1,575.13,0.21,COD,5,4.7,454.35
+14956,7/27/2035,1973,Clothing,North,2,572.43,0.24,Card,6,3.1,870.09
+14957,7/28/2035,1383,Clothing,East,2,178.42,0.24,Wallet,5,3,271.2
+14958,7/29/2035,1259,Clothing,East,7,442.94,0.26,Wallet,9,2.7,2294.43
+14959,7/30/2035,1413,Clothing,West,4,353.47,0.23,Card,11,4.5,1088.69
+14960,7/31/2035,1990,Clothing,East,6,153.92,0.03,Wallet,2,4.8,895.81
+14961,8/1/2035,1357,Electronics,West,4,168.37,0.24,COD,4,2.5,511.84
+14962,8/2/2035,1074,Electronics,North,3,302.32,0.25,Card,1,3.2,680.22
+14963,8/3/2035,1354,Electronics,West,2,260.25,0.35,COD,7,2.3,338.32
+14964,8/4/2035,1583,Electronics,North,4,185.37,0.24,Card,1,2.5,563.52
+14965,8/5/2035,1770,Clothing,West,2,487.39,0.24,COD,6,1.1,740.83
+14966,8/6/2035,1909,Home,East,1,296.66,0.18,Wallet,10,4.1,243.26
+14967,8/7/2035,1187,Home,North,4,398.09,0.3,COD,10,4.9,1114.65
+14968,8/8/2035,1972,Home,East,3,125.72,0.35,Card,9,4.1,245.15
+14969,8/9/2035,1684,Clothing,North,7,327.1,0.27,Card,2,3.1,1671.48
+14970,8/10/2035,1991,Clothing,West,4,201.02,0.21,Card,1,4.3,635.22
+14971,8/11/2035,1289,Clothing,West,2,322.95,0.03,Card,11,4.4,626.52
+14972,8/12/2035,1044,Electronics,West,5,471.78,0.25,Card,11,3.2,1769.17
+14973,8/13/2035,1572,Electronics,South,5,464.81,0.25,COD,11,4.7,1743.04
+14974,8/14/2035,1082,Clothing,South,7,222.22,0.27,COD,10,1.1,1135.54
+14975,8/15/2035,1122,Beauty,North,7,421.15,0.04,COD,3,1,2830.13
+14976,8/16/2035,1357,Electronics,South,6,565.65,0.23,Card,6,1.3,2613.3
+14977,8/17/2035,1527,Electronics,West,7,381.02,0.1,Card,7,1.2,2400.43
+14978,8/18/2035,1065,Home,South,2,101.82,0.27,Card,11,2.7,148.66
+14979,8/19/2035,1935,Electronics,South,1,412.63,0.08,Card,8,4.8,379.62
+14980,8/20/2035,1656,Home,East,4,76.37,0.24,Card,4,3.7,232.16
+14981,8/21/2035,1374,Home,North,7,525.18,0.1,Card,8,3.6,3308.63
+14982,8/22/2035,1161,Beauty,North,5,317.25,0,COD,7,2.5,1586.25
+14983,8/23/2035,1745,Clothing,North,1,240.31,0.22,Wallet,11,3.1,187.44
+14984,8/24/2035,1379,Home,South,2,48.35,0.04,COD,8,2.2,92.83
+14985,8/25/2035,1655,Clothing,West,1,237.76,0.23,COD,5,3.1,183.08
+14986,8/26/2035,1357,Clothing,East,2,543.38,0.32,Card,10,4,739
+14987,8/27/2035,1187,Clothing,North,6,27.28,0.34,Wallet,7,3.2,108.03
+14988,8/28/2035,1321,Electronics,South,4,292.67,0.08,Card,4,2.7,1077.03
+14989,8/29/2035,1449,Clothing,West,1,559.73,0.28,Card,1,4.4,403.01
+14990,8/30/2035,1473,Clothing,East,4,245.98,0.12,Card,3,2.1,865.85
+14991,8/31/2035,1012,Home,East,1,265.48,0.32,Card,10,2.9,180.53
+14992,9/1/2035,1183,Home,North,2,353.46,0.28,COD,9,4.9,508.98
+14993,9/2/2035,1110,Home,North,2,285.82,0.03,Wallet,11,4.9,554.49
+14994,9/3/2035,1926,Electronics,West,1,113.63,0.14,COD,4,1,97.72
+14995,9/4/2035,1507,Home,South,6,25.85,0.12,Card,5,3.1,136.49
+14996,9/5/2035,1289,Clothing,West,2,371.74,0.27,COD,3,2.3,542.74
+14997,9/6/2035,1294,Beauty,North,3,553.67,0.14,COD,11,2.2,1428.47
+14998,9/7/2035,1450,Beauty,West,3,77.22,0.24,Wallet,6,3.4,176.06
+14999,9/8/2035,1903,Electronics,South,4,138.41,0.21,COD,4,2.8,437.38
+15000,9/9/2035,1214,Home,East,7,231.58,0.34,COD,5,3.9,1069.9
diff --git a/wayang-jdbc/demo/data/fifa_world_cup_all_matches.csv b/wayang-jdbc/demo/data/fifa_world_cup_all_matches.csv
new file mode 100644
index 000000000..4595036c3
--- /dev/null
+++ b/wayang-jdbc/demo/data/fifa_world_cup_all_matches.csv
@@ -0,0 +1,1070 @@
+match_id,world_cup_year,host_country,date,stage,round_raw,group,team1,team2,halftime_score_team1,halftime_score_team2,fulltime_score_team1,fulltime_score_team2,extra_time_score_team1,extra_time_score_team2,penalty_score_team1,penalty_score_team2,winner,result_method,stadium,city,total_goals_team1,total_goals_team2
+1,1930,Uruguay,1930-07-13,Group Stage,Matchday 1,Group 1,France,Mexico,3,0,4,1,,,,,France,Normal Time,Estadio Pocitos,Montevideo,4,1
+2,1930,Uruguay,1930-07-15,Group Stage,Matchday 3,Group 1,Argentina,France,0,0,1,0,,,,,Argentina,Normal Time,Estadio Parque Central,Montevideo,1,0
+3,1930,Uruguay,1930-07-16,Group Stage,Matchday 4,Group 1,Chile,Mexico,1,0,3,0,,,,,Chile,Normal Time,Estadio Parque Central,Montevideo,2,0
+4,1930,Uruguay,1930-07-19,Group Stage,Matchday 7,Group 1,Chile,France,0,0,1,0,,,,,Chile,Normal Time,Estadio Centenario,Montevideo,1,0
+5,1930,Uruguay,1930-07-19,Group Stage,Matchday 7,Group 1,Argentina,Mexico,3,1,6,3,,,,,Argentina,Normal Time,Estadio Centenario,Montevideo,6,3
+6,1930,Uruguay,1930-07-22,Group Stage,Matchday 10,Group 1,Argentina,Chile,2,1,3,1,,,,,Argentina,Normal Time,Estadio Centenario,Montevideo,3,1
+7,1930,Uruguay,1930-07-14,Group Stage,Matchday 2,Group 2,Yugoslavia,Brazil,2,0,2,1,,,,,Yugoslavia,Normal Time,Estadio Parque Central,Montevideo,2,1
+8,1930,Uruguay,1930-07-17,Group Stage,Matchday 5,Group 2,Yugoslavia,Bolivia,0,0,4,0,,,,,Yugoslavia,Normal Time,Estadio Parque Central,Montevideo,4,0
+9,1930,Uruguay,1930-07-20,Group Stage,Matchday 8,Group 2,Brazil,Bolivia,1,0,4,0,,,,,Brazil,Normal Time,Estadio Centenario,Montevideo,4,0
+10,1930,Uruguay,1930-07-14,Group Stage,Matchday 2,Group 3,Romania,Peru,1,0,3,1,,,,,Romania,Normal Time,Estadio Pocitos,Montevideo,3,1
+11,1930,Uruguay,1930-07-18,Group Stage,Matchday 6,Group 3,Uruguay,Peru,0,0,1,0,,,,,Uruguay,Normal Time,Estadio Centenario,Montevideo,1,0
+12,1930,Uruguay,1930-07-21,Group Stage,Matchday 9,Group 3,Uruguay,Romania,4,0,4,0,,,,,Uruguay,Normal Time,Estadio Centenario,Montevideo,4,0
+13,1930,Uruguay,1930-07-13,Group Stage,Matchday 1,Group 4,United States,Belgium,2,0,3,0,,,,,United States,Normal Time,Estadio Parque Central,Montevideo,3,0
+14,1930,Uruguay,1930-07-17,Group Stage,Matchday 5,Group 4,United States,Paraguay,2,0,3,0,,,,,United States,Normal Time,Estadio Parque Central,Montevideo,3,0
+15,1930,Uruguay,1930-07-20,Group Stage,Matchday 8,Group 4,Paraguay,Belgium,1,0,1,0,,,,,Paraguay,Normal Time,Estadio Centenario,Montevideo,1,0
+16,1930,Uruguay,1930-07-26,Semi-final,Semi-finals,,Argentina,United States,1,0,6,1,,,,,Argentina,Normal Time,Estadio Centenario,Montevideo,6,1
+17,1930,Uruguay,1930-07-27,Semi-final,Semi-finals,,Uruguay,Yugoslavia,3,1,6,1,,,,,Uruguay,Normal Time,Estadio Centenario,Montevideo,6,1
+18,1930,Uruguay,1930-07-30,Final,Final,,Uruguay,Argentina,1,2,4,2,,,,,Uruguay,Normal Time,Estadio Centenario,Montevideo,4,2
+19,1934,Italy,1934-05-27,Preliminary round,Preliminary round,,Sweden,Argentina,1,1,3,2,,,,,Sweden,Normal Time,Stadio Littoriale,Bologna,3,2
+20,1934,Italy,1934-05-27,Preliminary round,Preliminary round,,Austria,France,1,1,1,1,3,2,,,Austria,Extra Time,Stadio Benito Mussolini,Turin,3,2
+21,1934,Italy,1934-05-27,Preliminary round,Preliminary round,,Germany,Belgium,1,2,5,2,,,,,Germany,Normal Time,Stadio Giovanni Berta,Florence,5,2
+22,1934,Italy,1934-05-27,Preliminary round,Preliminary round,,Spain,Brazil,3,0,3,1,,,,,Spain,Normal Time,Stadio Luigi Ferraris,Genoa,3,1
+23,1934,Italy,1934-05-27,Preliminary round,Preliminary round,,Hungary,Egypt,2,2,4,2,,,,,Hungary,Normal Time,Stadio Giorgio Ascarelli,Naples,4,2
+24,1934,Italy,1934-05-27,Preliminary round,Preliminary round,,Switzerland,Netherlands,2,1,3,2,,,,,Switzerland,Normal Time,Stadio San Siro,Milan,3,2
+25,1934,Italy,1934-05-27,Preliminary round,Preliminary round,,Italy,United States,3,0,7,1,,,,,Italy,Normal Time,Stadio Nazionale PNF,Rome,7,1
+26,1934,Italy,1934-05-27,Preliminary round,Preliminary round,,Czechoslovakia,Romania,0,1,2,1,,,,,Czechoslovakia,Normal Time,Stadio Littorio,Trieste,2,1
+27,1934,Italy,1934-05-31,Quarter-final,Quarter-finals,,Czechoslovakia,Switzerland,1,1,3,2,,,,,Czechoslovakia,Normal Time,Stadio Benito Mussolini,Turin,3,2
+28,1934,Italy,1934-05-31,Quarter-final,Quarter-finals,,Germany,Sweden,0,0,2,1,,,,,Germany,Normal Time,Stadio San Siro,Milan,2,1
+29,1934,Italy,1934-05-31,Quarter-final,Quarter-finals,,Italy,Spain,1,1,1,1,1,1,,,Draw,Draw (after Extra Time),Stadio Giovanni Berta,Florence,1,1
+30,1934,Italy,1934-05-31,Quarter-final,Quarter-finals,,Austria,Hungary,1,0,2,1,,,,,Austria,Normal Time,Stadio Littoriale,Bologna,2,1
+31,1934,Italy,1934-06-01,Quarter-final,"Quarter-finals, Replays",,Italy,Spain,1,0,1,0,,,,,Italy,Normal Time,Stadio Giovanni Berta,Florence,1,0
+32,1934,Italy,1934-06-03,Semi-final,Semi-finals,,Italy,Austria,1,0,1,0,,,,,Italy,Normal Time,Stadio San Siro,Milan,1,0
+33,1934,Italy,1934-06-03,Semi-final,Semi-finals,,Czechoslovakia,Germany,1,0,3,1,,,,,Czechoslovakia,Normal Time,Stadio Nazionale PNF,Rome,3,1
+34,1934,Italy,1934-06-07,Third-place match,Third-place match,,Germany,Austria,3,1,3,2,,,,,Germany,Normal Time,Stadio Giorgio Ascarelli,Naples,3,2
+35,1934,Italy,1934-06-10,Final,Final,,Italy,Czechoslovakia,0,0,1,1,2,1,,,Italy,Extra Time,Stadio Nazionale PNF,Rome,2,1
+36,1938,France,1938-06-04,First round,First round,,Switzerland,Germany,1,1,1,1,1,1,,,Draw,Draw (after Extra Time),Parc des Princes,Paris,1,1
+37,1938,France,1938-06-05,First round,First round,,Hungary,Dutch East Indies,4,0,6,0,,,,,Hungary,Normal Time,Vélodrome Municipal,Reims,6,0
+38,1938,France,1938-06-05,First round,First round,,France,Belgium,2,1,3,1,,,,,France,Normal Time,Stade Olympique de Colombes,Paris,3,1
+39,1938,France,1938-06-05,First round,First round,,Cuba,Romania,1,1,2,2,3,3,,,Draw,Draw (after Extra Time),Stade Chapou,Toulouse,3,3
+40,1938,France,1938-06-05,First round,First round,,Italy,Norway,1,0,1,1,2,1,,,Italy,Extra Time,Stade Vélodrome,Marseille,2,1
+41,1938,France,1938-06-05,First round,First round,,Brazil,Poland,3,1,4,4,6,5,,,Brazil,Extra Time,Stade de la Meinau,Strasbourg,6,5
+42,1938,France,1938-06-05,First round,First round,,Czechoslovakia,Netherlands,0,0,0,0,3,0,,,Czechoslovakia,Extra Time,Stade municipal,Le Havre,3,0
+43,1938,France,1938-06-05,First round,First round,,Sweden,Austria,,,,,,,,,Sweden,Walkover,Stade Gerland,Lyon,0,0
+44,1938,France,1938-06-09,"First round, Replays","First round, Replays",,Cuba,Romania,0,1,2,1,,,,,Cuba,Normal Time,Stade Chapou,Toulouse,2,1
+45,1938,France,1938-06-09,"First round, Replays","First round, Replays",,Germany,Switzerland,2,1,2,4,,,,,Switzerland,Normal Time,Parc des Princes,Paris,1,4
+46,1938,France,1938-06-12,Quarter-final,Quarter-finals,,Brazil,Czechoslovakia,1,0,1,1,1,1,,,Draw,Draw (after Extra Time),Parc Lescure,Bordeaux,1,1
+47,1938,France,1938-06-12,Quarter-final,Quarter-finals,,Switzerland,Hungary,0,1,0,2,,,,,Hungary,Normal Time,Stade Victor Boucquey,Lille,0,2
+48,1938,France,1938-06-12,Quarter-final,Quarter-finals,,Sweden,Cuba,4,0,8,0,,,,,Sweden,Normal Time,Stade du Fort Carré,Antibes,8,0
+49,1938,France,1938-06-12,Quarter-final,Quarter-finals,,France,Italy,1,1,1,3,,,,,Italy,Normal Time,Stade Olympique de Colombes,Paris,1,3
+50,1938,France,1938-06-14,Quarter-final,"Quarter-finals, Replays",,Brazil,Czechoslovakia,0,1,2,1,,,,,Brazil,Normal Time,Parc Lescure,Bordeaux,2,1
+51,1938,France,1938-06-16,Semi-final,Semi-finals,,Hungary,Sweden,3,1,5,1,,,,,Hungary,Normal Time,Parc des Princes,Paris,4,1
+52,1938,France,1938-06-16,Semi-final,Semi-finals,,Italy,Brazil,0,0,2,1,,,,,Italy,Normal Time,Stade Vélodrome,Marseille,2,1
+53,1938,France,1938-06-19,Third Place Play-off,Match for third place,,Sweden,Brazil,2,1,2,4,,,,,Brazil,Normal Time,Parc Lescure,Bordeaux,2,4
+54,1938,France,1938-06-19,Final,Final,,Hungary,Italy,1,3,2,4,,,,,Italy,Normal Time,Stade Olympique de Colombes,Paris,2,4
+55,1950,Brazil,1950-06-24,First round,First round,Group 1,Brazil,Mexico,1,0,4,0,,,,,Brazil,Normal Time,Estádio do Maracanã,Rio de Janeiro,4,0
+56,1950,Brazil,1950-06-25,First round,First round,Group 1,Yugoslavia,Switzerland,0,0,3,0,,,,,Yugoslavia,Normal Time,Estádio Independência,Belo Horizonte,3,0
+57,1950,Brazil,1950-06-28,First round,First round,Group 1,Brazil,Switzerland,2,1,2,2,,,,,Draw,Draw,Estádio do Pacaembu,São Paulo,2,2
+58,1950,Brazil,1950-06-28,First round,First round,Group 1,Yugoslavia,Mexico,2,0,4,1,,,,,Yugoslavia,Normal Time,Estádio dos Eucaliptos,Porto Alegre,4,1
+59,1950,Brazil,1950-07-01,First round,First round,Group 1,Brazil,Yugoslavia,1,0,2,0,,,,,Brazil,Normal Time,Estádio do Maracanã,Rio de Janeiro,2,0
+60,1950,Brazil,1950-07-02,First round,First round,Group 1,Switzerland,Mexico,2,0,2,1,,,,,Switzerland,Normal Time,Estádio dos Eucaliptos,Porto Alegre,2,1
+61,1950,Brazil,1950-06-25,First round,First round,Group 2,England,Chile,,,2,0,,,,,England,Normal Time,Estádio do Maracanã,Rio de Janeiro,2,0
+62,1950,Brazil,1950-06-25,First round,First round,Group 2,Spain,United States,,,3,1,,,,,Spain,Normal Time,Estádio Durival de Britto,Curitiba,3,1
+63,1950,Brazil,1950-06-29,First round,First round,Group 2,Spain,Chile,,,2,0,,,,,Spain,Normal Time,Estádio do Maracanã,Rio de Janeiro,2,0
+64,1950,Brazil,1950-06-29,First round,First round,Group 2,United States,England,,,1,0,,,,,United States,Normal Time,Estádio Independência,Belo Horizonte,1,0
+65,1950,Brazil,1950-07-02,First round,First round,Group 2,Spain,England,,,1,0,,,,,Spain,Normal Time,Estádio do Maracanã,Rio de Janeiro,1,0
+66,1950,Brazil,1950-07-02,First round,First round,Group 2,Chile,United States,,,5,2,,,,,Chile,Normal Time,Estádio Ilha do Retiro,Recife,5,2
+67,1950,Brazil,1950-06-25,First round,First round,Group 3,Sweden,Italy,,,3,2,,,,,Sweden,Normal Time,Estádio do Pacaembu,São Paulo,3,2
+68,1950,Brazil,1950-06-29,First round,First round,Group 3,Sweden,Paraguay,,,2,2,,,,,Draw,Draw,Estádio Durival Britto,Curitiba,2,2
+69,1950,Brazil,1950-07-02,First round,First round,Group 3,Italy,Paraguay,,,2,0,,,,,Italy,Normal Time,Estádio do Pacaembu,São Paulo,2,0
+70,1950,Brazil,1950-07-02,First round,First round,Group 4,Uruguay,Bolivia,,,8,0,,,,,Uruguay,Normal Time,Estádio Independência,Belo Horizonte,8,0
+71,1950,Brazil,1950-07-09,Final Round,Final Round,,Uruguay,Spain,,,2,2,,,,,Draw,Draw,Estádio do Pacaembu,São Paulo,2,2
+72,1950,Brazil,1950-07-09,Final Round,Final Round,,Brazil,Sweden,,,7,1,,,,,Brazil,Normal Time,Estádio do Maracanã,Rio de Janeiro,7,1
+73,1950,Brazil,1950-07-13,Final Round,Final Round,,Brazil,Spain,,,6,1,,,,,Brazil,Normal Time,Estádio do Maracanã,Rio de Janeiro,5,1
+74,1950,Brazil,1950-07-13,Final Round,Final Round,,Uruguay,Sweden,,,3,2,,,,,Uruguay,Normal Time,Estádio do Pacaembu,São Paulo,3,2
+75,1950,Brazil,1950-07-16,Final Round,Final Round,,Sweden,Spain,,,3,1,,,,,Sweden,Normal Time,Estádio do Pacaembu,São Paulo,3,1
+76,1950,Brazil,1950-07-16,Final Round,Final Round,,Uruguay,Brazil,,,2,1,,,,,Uruguay,Normal Time,Estádio do Maracanã,Rio de Janeiro,2,1
+77,1954,Switzerland,1954-06-16,Group Stage,Matchday 1,Group 1,Brazil,Mexico,,,5,0,,,,,Brazil,Normal Time,Charmilles Stadium,Geneva,0,0
+78,1954,Switzerland,1954-06-16,Group Stage,Matchday 1,Group 1,Yugoslavia,France,,,1,0,,,,,Yugoslavia,Normal Time,Stade Olympique de la Pontaise,Lausanne,0,0
+79,1954,Switzerland,1954-06-19,Group Stage,Matchday 2,Group 1,Brazil,Yugoslavia,,,1,1,1,1,,,Draw,Draw (after Extra Time),Stade Olympique de la Pontaise,Lausanne,0,0
+80,1954,Switzerland,1954-06-19,Group Stage,Matchday 2,Group 1,France,Mexico,,,3,2,,,,,France,Normal Time,Charmilles Stadium,Geneva,0,0
+81,1954,Switzerland,1954-06-17,Group Stage,Matchday 1,Group 2,West Germany,Turkey,,,4,1,,,,,West Germany,Normal Time,Wankdorf Stadium,Bern,0,0
+82,1954,Switzerland,1954-06-17,Group Stage,Matchday 1,Group 2,Hungary,South Korea,,,9,0,,,,,Hungary,Normal Time,Hardturm Stadium,Zürich,0,0
+83,1954,Switzerland,1954-06-20,Group Stage,Matchday 2,Group 2,Hungary,West Germany,,,8,3,,,,,Hungary,Normal Time,St. Jakob Stadium,Basel,0,0
+84,1954,Switzerland,1954-06-20,Group Stage,Matchday 2,Group 2,Turkey,South Korea,,,7,0,,,,,Turkey,Normal Time,Charmilles Stadium,Geneva,0,0
+85,1954,Switzerland,1954-06-23,Group Stage,Group 2 Play-off,,West Germany,Turkey,,,7,2,,,,,West Germany,Normal Time,Hardturm Stadium,Zürich,0,0
+86,1954,Switzerland,1954-06-16,Group Stage,Matchday 1,Group 3,Uruguay,Czechoslovakia,,,2,0,,,,,Uruguay,Normal Time,Wankdorf Stadium,Bern,0,0
+87,1954,Switzerland,1954-06-16,Group Stage,Matchday 1,Group 3,Austria,Scotland,,,1,0,,,,,Austria,Normal Time,Hardturm Stadium,Zürich,0,0
+88,1954,Switzerland,1954-06-19,Group Stage,Matchday 2,Group 3,Austria,Czechoslovakia,,,5,0,,,,,Austria,Normal Time,Hardturm Stadium,Zürich,0,0
+89,1954,Switzerland,1954-06-19,Group Stage,Matchday 2,Group 3,Uruguay,Scotland,,,7,0,,,,,Uruguay,Normal Time,St. Jakob Stadium,Basel,0,0
+90,1954,Switzerland,1954-06-17,Group Stage,Matchday 1,Group 4,England,Belgium,,,3,3,4,4,,,Draw,Draw (after Extra Time),St. Jakob Stadium,Basel,0,0
+91,1954,Switzerland,1954-06-17,Group Stage,Matchday 1,Group 4,Switzerland,Italy,,,2,1,,,,,Switzerland,Normal Time,Stade Olympique de la Pontaise,Lausanne,0,0
+92,1954,Switzerland,1954-06-20,Group Stage,Matchday 2,Group 4,England,Switzerland,,,2,0,,,,,England,Normal Time,Wankdorf Stadium,Bern,0,0
+93,1954,Switzerland,1954-06-20,Group Stage,Matchday 2,Group 4,Italy,Belgium,,,4,1,,,,,Italy,Normal Time,Cornaredo Stadium,Lugano,0,0
+94,1954,Switzerland,1954-06-23,Group Stage,Group 4 Play-off,,Switzerland,Italy,,,4,1,,,,,Switzerland,Normal Time,St. Jakob Stadium,Basel,0,0
+95,1954,Switzerland,1954-06-26,Quarter-final,Quarter-finals,,Austria,Switzerland,,,7,5,,,,,Austria,Normal Time,Stade Olympique de la Pontaise,Lausanne,0,0
+96,1954,Switzerland,1954-06-26,Quarter-final,Quarter-finals,,Uruguay,England,,,4,2,,,,,Uruguay,Normal Time,St. Jakob Stadium,Basel,0,0
+97,1954,Switzerland,1954-06-27,Quarter-final,Quarter-finals,,Yugoslavia,West Germany,,,0,2,,,,,West Germany,Normal Time,Charmilles Stadium,Geneva,0,0
+98,1954,Switzerland,1954-06-27,Quarter-final,Quarter-finals,,Brazil,Hungary,,,2,4,,,,,Hungary,Normal Time,Wankdorf Stadium,Bern,0,0
+99,1954,Switzerland,1954-06-30,Semi-final,Semi-finals,,West Germany,Austria,,,6,1,,,,,West Germany,Normal Time,St. Jakob Stadium,Basel,0,0
+100,1954,Switzerland,1954-06-30,Semi-final,Semi-finals,,Hungary,Uruguay,,,2,2,4,2,,,Hungary,Extra Time,Stade Olympique de la Pontaise,Lausanne,0,0
+101,1954,Switzerland,1954-07-03,Third-place match,Third-place match,,Uruguay,Austria,,,1,3,,,,,Austria,Normal Time,Hardturm Stadium,Zürich,0,0
+102,1954,Switzerland,1954-07-04,Final,Final,,Hungary,West Germany,,,2,3,,,,,West Germany,Normal Time,Wankdorf Stadium,Bern,0,0
+103,1958,Sweden,1958-06-08,Group Stage,Matchday 1,Group 1,West Germany,Argentina,,,3,1,,,,,West Germany,Normal Time,Malmö Stadion,Malmö,0,0
+104,1958,Sweden,1958-06-08,Group Stage,Matchday 1,Group 1,Northern Ireland,Czechoslovakia,,,1,0,,,,,Northern Ireland,Normal Time,Örjans Vall,Halmstad,0,0
+105,1958,Sweden,1958-06-11,Group Stage,Matchday 2,Group 1,Argentina,Northern Ireland,,,3,1,,,,,Argentina,Normal Time,Örjans Vall,Halmstad,0,0
+106,1958,Sweden,1958-06-11,Group Stage,Matchday 2,Group 1,West Germany,Czechoslovakia,,,2,2,,,,,Draw,Draw,Olympiastadion,Helsingborg,0,0
+107,1958,Sweden,1958-06-15,Group Stage,Matchday 3,Group 1,West Germany,Northern Ireland,,,2,2,,,,,Draw,Draw,Malmö Stadion,Malmö,0,0
+108,1958,Sweden,1958-06-15,Group Stage,Matchday 3,Group 1,Czechoslovakia,Argentina,,,6,1,,,,,Czechoslovakia,Normal Time,Olympiastadion,Helsingborg,0,0
+109,1958,Sweden,1958-06-17,Group Stage,Group 1 Play-off,,Northern Ireland,Czechoslovakia,,,1,1,2,1,,,Northern Ireland,Extra Time,Malmö Stadion,Malmö,0,0
+110,1958,Sweden,1958-06-08,Group Stage,Matchday 1,Group 2,France,Paraguay,,,7,3,,,,,France,Normal Time,Idrottsparken,Norrköping,0,0
+111,1958,Sweden,1958-06-08,Group Stage,Matchday 1,Group 2,Yugoslavia,Scotland,,,1,1,,,,,Draw,Draw,Arosvallen,Västerås,0,0
+112,1958,Sweden,1958-06-11,Group Stage,Matchday 2,Group 2,Yugoslavia,France,,,3,2,,,,,Yugoslavia,Normal Time,Arosvallen,Västerås,0,0
+113,1958,Sweden,1958-06-11,Group Stage,Matchday 2,Group 2,Paraguay,Scotland,,,3,2,,,,,Paraguay,Normal Time,Idrottsparken,Norrköping,0,0
+114,1958,Sweden,1958-06-15,Group Stage,Matchday 3,Group 2,France,Scotland,,,2,1,,,,,France,Normal Time,Eyravallen,Örebro,0,0
+115,1958,Sweden,1958-06-15,Group Stage,Matchday 3,Group 2,Paraguay,Yugoslavia,,,3,3,,,,,Draw,Draw,Tunavallen,Eskilstuna,0,0
+116,1958,Sweden,1958-06-08,Group Stage,Matchday 1,Group 3,Sweden,Mexico,,,3,0,,,,,Sweden,Normal Time,Råsunda Stadium,Solna,0,0
+117,1958,Sweden,1958-06-08,Group Stage,Matchday 1,Group 3,Hungary,Wales,,,1,1,,,,,Draw,Draw,Jernvallen,Sandviken,0,0
+118,1958,Sweden,1958-06-11,Group Stage,Matchday 2,Group 3,Mexico,Wales,,,1,1,,,,,Draw,Draw,Råsunda Stadium,Solna,0,0
+119,1958,Sweden,1958-06-12,Group Stage,Matchday 2,Group 3,Sweden,Hungary,,,2,1,,,,,Sweden,Normal Time,Råsunda Stadium,Solna,0,0
+120,1958,Sweden,1958-06-15,Group Stage,Matchday 3,Group 3,Sweden,Wales,,,0,0,,,,,Draw,Draw,Råsunda Stadium,Solna,0,0
+121,1958,Sweden,1958-06-15,Group Stage,Matchday 3,Group 3,Hungary,Mexico,,,4,0,,,,,Hungary,Normal Time,Jernvallen,Sandviken,0,0
+122,1958,Sweden,1958-06-17,Group Stage,Group 3 Play-off,,Wales,Hungary,,,2,1,,,,,Wales,Normal Time,Råsunda Stadium,Solna,0,0
+123,1958,Sweden,1958-06-08,Group Stage,Matchday 1,Group 4,Brazil,Austria,,,3,0,,,,,Brazil,Normal Time,Rimnersvallen,Uddevalla,0,0
+124,1958,Sweden,1958-06-08,Group Stage,Matchday 1,Group 4,Soviet Union,England,,,2,2,,,,,Draw,Draw,Ullevi,Gothenburg,0,0
+125,1958,Sweden,1958-06-11,Group Stage,Matchday 2,Group 4,Brazil,England,,,0,0,,,,,Draw,Draw,Ullevi,Gothenburg,0,0
+126,1958,Sweden,1958-06-11,Group Stage,Matchday 2,Group 4,Soviet Union,Austria,,,2,0,,,,,Soviet Union,Normal Time,Ryavallen,Borås,0,0
+127,1958,Sweden,1958-06-15,Group Stage,Matchday 3,Group 4,England,Austria,,,2,2,,,,,Draw,Draw,Ryavallen,Borås,0,0
+128,1958,Sweden,1958-06-15,Group Stage,Matchday 3,Group 4,Brazil,Soviet Union,,,2,0,,,,,Brazil,Normal Time,Ullevi,Gothenburg,0,0
+129,1958,Sweden,1958-06-17,Group Stage,Group 4 Play-off,,Soviet Union,England,,,1,0,,,,,Soviet Union,Normal Time,Ullevi,Gothenburg,0,0
+130,1958,Sweden,1958-06-19,Quarter-final,Quarter-finals,,France,Northern Ireland,,,4,0,,,,,France,Normal Time,Idrottsparken,Norrköping,0,0
+131,1958,Sweden,1958-06-19,Quarter-final,Quarter-finals,,Sweden,Soviet Union,,,2,0,,,,,Sweden,Normal Time,Råsunda Stadium,Solna,0,0
+132,1958,Sweden,1958-06-19,Quarter-final,Quarter-finals,,Brazil,Wales,,,1,0,,,,,Brazil,Normal Time,Ullevi,Gothenburg,0,0
+133,1958,Sweden,1958-06-19,Quarter-final,Quarter-finals,,West Germany,Yugoslavia,,,1,0,,,,,West Germany,Normal Time,Malmö Stadion,Malmö,0,0
+134,1958,Sweden,1958-06-24,Semi-final,Semi-finals,,France,Brazil,,,2,5,,,,,Brazil,Normal Time,Råsunda Stadium,Solna,0,0
+135,1958,Sweden,1958-06-24,Semi-final,Semi-finals,,West Germany,Sweden,,,1,3,,,,,Sweden,Normal Time,Ullevi,Gothenburg,0,0
+136,1958,Sweden,1958-06-28,Third Place Play-off,Match for third place,,West Germany,France,,,3,6,,,,,France,Normal Time,Ullevi,Gothenburg,0,0
+137,1958,Sweden,1958-06-29,Final,Final,,Sweden,Brazil,,,2,5,,,,,Brazil,Normal Time,Råsunda Stadium,Solna,0,0
+138,1962,Chile,1962-05-30,Group Stage,Matchday 1,Group 1,Uruguay,Colombia,,,2,1,,,,,Uruguay,Normal Time,Estadio Carlos Dittborn,Arica,0,0
+139,1962,Chile,1962-05-31,Group Stage,Matchday 1,Group 1,Soviet Union,Yugoslavia,,,2,0,,,,,Soviet Union,Normal Time,Estadio Carlos Dittborn,Arica,0,0
+140,1962,Chile,1962-06-02,Group Stage,Matchday 2,Group 1,Yugoslavia,Uruguay,,,3,1,,,,,Yugoslavia,Normal Time,Estadio Carlos Dittborn,Arica,0,0
+141,1962,Chile,1962-06-03,Group Stage,Matchday 2,Group 1,Soviet Union,Colombia,,,4,4,,,,,Draw,Draw,Estadio Carlos Dittborn,Arica,0,0
+142,1962,Chile,1962-06-06,Group Stage,Matchday 3,Group 1,Soviet Union,Uruguay,,,2,1,,,,,Soviet Union,Normal Time,Estadio Carlos Dittborn,Arica,0,0
+143,1962,Chile,1962-06-07,Group Stage,Matchday 3,Group 1,Yugoslavia,Colombia,,,5,0,,,,,Yugoslavia,Normal Time,Estadio Carlos Dittborn,Arica,0,0
+144,1962,Chile,1962-05-30,Group Stage,Matchday 1,Group 2,Chile,Switzerland,,,3,1,,,,,Chile,Normal Time,Estadio Nacional,Santiago,0,0
+145,1962,Chile,1962-05-31,Group Stage,Matchday 1,Group 2,West Germany,Italy,,,0,0,,,,,Draw,Draw,Estadio Nacional,Santiago,0,0
+146,1962,Chile,1962-06-02,Group Stage,Matchday 2,Group 2,Chile,Italy,,,2,0,,,,,Chile,Normal Time,Estadio Nacional,Santiago,0,0
+147,1962,Chile,1962-06-03,Group Stage,Matchday 2,Group 2,West Germany,Switzerland,,,2,1,,,,,West Germany,Normal Time,Estadio Nacional,Santiago,0,0
+148,1962,Chile,1962-06-06,Group Stage,Matchday 3,Group 2,West Germany,Chile,,,2,0,,,,,West Germany,Normal Time,Estadio Nacional,Santiago,0,0
+149,1962,Chile,1962-06-07,Group Stage,Matchday 3,Group 2,Italy,Switzerland,,,3,0,,,,,Italy,Normal Time,Estadio Nacional,Santiago,0,0
+150,1962,Chile,1962-05-30,Group Stage,Matchday 1,Group 3,Brazil,Mexico,,,2,0,,,,,Brazil,Normal Time,Estadio Sausalito,Viña del Mar,0,0
+151,1962,Chile,1962-05-31,Group Stage,Matchday 1,Group 3,Czechoslovakia,Spain,,,1,0,,,,,Czechoslovakia,Normal Time,Estadio Sausalito,Viña del Mar,0,0
+152,1962,Chile,1962-06-02,Group Stage,Matchday 2,Group 3,Brazil,Czechoslovakia,,,0,0,,,,,Draw,Draw,Estadio Sausalito,Viña del Mar,0,0
+153,1962,Chile,1962-06-03,Group Stage,Matchday 2,Group 3,Spain,Mexico,,,1,0,,,,,Spain,Normal Time,Estadio Sausalito,Viña del Mar,0,0
+154,1962,Chile,1962-06-06,Group Stage,Matchday 3,Group 3,Brazil,Spain,,,2,1,,,,,Brazil,Normal Time,Estadio Sausalito,Viña del Mar,0,0
+155,1962,Chile,1962-06-07,Group Stage,Matchday 3,Group 3,Mexico,Czechoslovakia,,,3,1,,,,,Mexico,Normal Time,Estadio Sausalito,Viña del Mar,0,0
+156,1962,Chile,1962-05-30,Group Stage,Matchday 1,Group 4,Argentina,Bulgaria,,,1,0,,,,,Argentina,Normal Time,Estadio El Teniente,Rancagua,0,0
+157,1962,Chile,1962-05-31,Group Stage,Matchday 1,Group 4,Hungary,England,,,2,1,,,,,Hungary,Normal Time,Estadio El Teniente,Rancagua,0,0
+158,1962,Chile,1962-06-02,Group Stage,Matchday 2,Group 4,England,Argentina,,,3,1,,,,,England,Normal Time,Estadio El Teniente,Rancagua,0,0
+159,1962,Chile,1962-06-03,Group Stage,Matchday 2,Group 4,Hungary,Bulgaria,,,6,1,,,,,Hungary,Normal Time,Estadio El Teniente,Rancagua,0,0
+160,1962,Chile,1962-06-06,Group Stage,Matchday 3,Group 4,Hungary,Argentina,,,0,0,,,,,Draw,Draw,Estadio El Teniente,Rancagua,0,0
+161,1962,Chile,1962-06-07,Group Stage,Matchday 3,Group 4,England,Bulgaria,,,0,0,,,,,Draw,Draw,Estadio El Teniente,Rancagua,0,0
+162,1962,Chile,1962-06-10,Quarter-final,Quarter-finals,,Chile,Soviet Union,,,2,1,,,,,Chile,Normal Time,Estadio Carlos Dittborn,Arica,0,0
+163,1962,Chile,1962-06-10,Quarter-final,Quarter-finals,,Yugoslavia,West Germany,,,1,0,,,,,Yugoslavia,Normal Time,Estadio Nacional,Santiago,0,0
+164,1962,Chile,1962-06-10,Quarter-final,Quarter-finals,,Brazil,England,,,3,1,,,,,Brazil,Normal Time,Estadio Sausalito,Viña del Mar,0,0
+165,1962,Chile,1962-06-10,Quarter-final,Quarter-finals,,Czechoslovakia,Hungary,,,1,0,,,,,Czechoslovakia,Normal Time,Estadio El Teniente,Rancagua,0,0
+166,1962,Chile,1962-06-13,Semi-final,Semi-finals,,Brazil,Chile,,,4,2,,,,,Brazil,Normal Time,Estadio Nacional,Santiago,0,0
+167,1962,Chile,1962-06-13,Semi-final,Semi-finals,,Czechoslovakia,Yugoslavia,,,3,1,,,,,Czechoslovakia,Normal Time,Estadio Sausalito,Viña del Mar,0,0
+168,1962,Chile,1962-06-16,Third-place match,Third-place match,,Chile,Yugoslavia,,,1,0,,,,,Chile,Normal Time,Estadio Nacional,Santiago,0,0
+169,1962,Chile,1962-06-17,Final,Final,,Brazil,Czechoslovakia,,,3,1,,,,,Brazil,Normal Time,Estadio Nacional,Santiago,0,0
+170,1966,England,1966-07-11,Group Stage,Matchday 1,Group 1,England,Uruguay,,,0,0,,,,,Draw,Draw,Wembley Stadium,London,0,0
+171,1966,England,1966-07-13,Group Stage,Matchday 1,Group 1,France,Mexico,,,1,1,,,,,Draw,Draw,Wembley Stadium,London,0,0
+172,1966,England,1966-07-15,Group Stage,Matchday 2,Group 1,Uruguay,France,,,2,1,,,,,Uruguay,Normal Time,White City Stadium,London,0,0
+173,1966,England,1966-07-16,Group Stage,Matchday 2,Group 1,England,Mexico,,,2,0,,,,,England,Normal Time,Wembley Stadium,London,0,0
+174,1966,England,1966-07-19,Group Stage,Matchday 3,Group 1,Mexico,Uruguay,,,0,0,,,,,Draw,Draw,Wembley Stadium,London,0,0
+175,1966,England,1966-07-20,Group Stage,Matchday 3,Group 1,England,France,,,2,0,,,,,England,Normal Time,Wembley Stadium,London,0,0
+176,1966,England,1966-07-12,Group Stage,Matchday 1,Group 2,West Germany,Switzerland,,,5,0,,,,,West Germany,Normal Time,Hillsborough Stadium,Sheffield,0,0
+177,1966,England,1966-07-13,Group Stage,Matchday 1,Group 2,Argentina,Spain,,,2,1,,,,,Argentina,Normal Time,Villa Park,Birmingham,0,0
+178,1966,England,1966-07-15,Group Stage,Matchday 2,Group 2,Spain,Switzerland,,,2,1,,,,,Spain,Normal Time,Hillsborough Stadium,Sheffield,0,0
+179,1966,England,1966-07-16,Group Stage,Matchday 2,Group 2,Argentina,West Germany,,,0,0,,,,,Draw,Draw,Villa Park,Birmingham,0,0
+180,1966,England,1966-07-19,Group Stage,Matchday 3,Group 2,Argentina,Switzerland,,,2,0,,,,,Argentina,Normal Time,Hillsborough Stadium,Sheffield,0,0
+181,1966,England,1966-07-20,Group Stage,Matchday 3,Group 2,West Germany,Spain,,,2,1,,,,,West Germany,Normal Time,Villa Park,Birmingham,0,0
+182,1966,England,1966-07-12,Group Stage,Matchday 1,Group 3,Brazil,Bulgaria,,,2,0,,,,,Brazil,Normal Time,Goodison Park,Liverpool,0,0
+183,1966,England,1966-07-13,Group Stage,Matchday 1,Group 3,Portugal,Hungary,,,3,1,,,,,Portugal,Normal Time,Old Trafford,Manchester,0,0
+184,1966,England,1966-07-15,Group Stage,Matchday 2,Group 3,Hungary,Brazil,,,3,1,,,,,Hungary,Normal Time,Goodison Park,Liverpool,0,0
+185,1966,England,1966-07-16,Group Stage,Matchday 2,Group 3,Portugal,Bulgaria,,,3,0,,,,,Portugal,Normal Time,Old Trafford,Manchester,0,0
+186,1966,England,1966-07-19,Group Stage,Matchday 3,Group 3,Portugal,Brazil,,,3,1,,,,,Portugal,Normal Time,Goodison Park,Liverpool,0,0
+187,1966,England,1966-07-20,Group Stage,Matchday 3,Group 3,Hungary,Bulgaria,,,3,1,,,,,Hungary,Normal Time,Old Trafford,Manchester,0,0
+188,1966,England,1966-07-12,Group Stage,Matchday 1,Group 4,Soviet Union,North Korea,,,3,0,,,,,Soviet Union,Normal Time,Ayresome Park,Middlesbrough,0,0
+189,1966,England,1966-07-13,Group Stage,Matchday 1,Group 4,Italy,Chile,,,2,0,,,,,Italy,Normal Time,Roker Park,Sunderland,0,0
+190,1966,England,1966-07-15,Group Stage,Matchday 2,Group 4,Chile,North Korea,,,1,1,,,,,Draw,Draw,Ayresome Park,Middlesbrough,0,0
+191,1966,England,1966-07-16,Group Stage,Matchday 2,Group 4,Soviet Union,Italy,,,1,0,,,,,Soviet Union,Normal Time,Roker Park,Sunderland,0,0
+192,1966,England,1966-07-19,Group Stage,Matchday 3,Group 4,North Korea,Italy,,,1,0,,,,,North Korea,Normal Time,Ayresome Park,Middlesbrough,0,0
+193,1966,England,1966-07-20,Group Stage,Matchday 3,Group 4,Soviet Union,Chile,,,2,1,,,,,Soviet Union,Normal Time,Roker Park,Sunderland,0,0
+194,1966,England,1966-07-23,Quarter-final,Quarter-finals,,England,Argentina,,,1,0,,,,,England,Normal Time,Wembley Stadium,London,0,0
+195,1966,England,1966-07-23,Quarter-final,Quarter-finals,,West Germany,Uruguay,,,4,0,,,,,West Germany,Normal Time,Hillsborough Stadium,Sheffield,0,0
+196,1966,England,1966-07-23,Quarter-final,Quarter-finals,,Soviet Union,Hungary,,,2,1,,,,,Soviet Union,Normal Time,Roker Park,Sunderland,0,0
+197,1966,England,1966-07-23,Quarter-final,Quarter-finals,,Portugal,North Korea,,,5,3,,,,,Portugal,Normal Time,Goodison Park,Liverpool,0,0
+198,1966,England,1966-07-25,Semi-final,Semi-finals,,West Germany,Soviet Union,,,2,1,,,,,West Germany,Normal Time,Goodison Park,Liverpool,0,0
+199,1966,England,1966-07-26,Semi-final,Semi-finals,,England,Portugal,,,2,1,,,,,England,Normal Time,Wembley Stadium,London,0,0
+200,1966,England,1966-07-28,Third-place match,Third-place match,,Portugal,Soviet Union,,,2,1,,,,,Portugal,Normal Time,Wembley Stadium,London,0,0
+201,1966,England,1966-07-30,Final,Final,,England,West Germany,,,2,2,4,2,,,England,Extra Time,Wembley Stadium,London,0,0
+202,1970,Mexico,1970-05-31,Group Stage,Matchday 1,Group 1,Mexico,Soviet Union,,,0,0,,,,,Draw,Draw,Estadio Azteca,Mexico City,0,0
+203,1970,Mexico,1970-06-03,Group Stage,Matchday 1,Group 1,Belgium,El Salvador,,,3,0,,,,,Belgium,Normal Time,Estadio Azteca,Mexico City,0,0
+204,1970,Mexico,1970-06-06,Group Stage,Matchday 2,Group 1,Soviet Union,Belgium,,,4,1,,,,,Soviet Union,Normal Time,Estadio Azteca,Mexico City,0,0
+205,1970,Mexico,1970-06-07,Group Stage,Matchday 2,Group 1,Mexico,El Salvador,,,4,0,,,,,Mexico,Normal Time,Estadio Azteca,Mexico City,0,0
+206,1970,Mexico,1970-06-10,Group Stage,Matchday 3,Group 1,Soviet Union,El Salvador,,,2,0,,,,,Soviet Union,Normal Time,Estadio Azteca,Mexico City,0,0
+207,1970,Mexico,1970-06-11,Group Stage,Matchday 3,Group 1,Mexico,Belgium,,,1,0,,,,,Mexico,Normal Time,Estadio Azteca,Mexico City,0,0
+208,1970,Mexico,1970-06-02,Group Stage,Matchday 1,Group 2,Uruguay,Israel,,,2,0,,,,,Uruguay,Normal Time,Estadio Cuauhtémoc,Puebla,0,0
+209,1970,Mexico,1970-06-03,Group Stage,Matchday 1,Group 2,Italy,Sweden,,,1,0,,,,,Italy,Normal Time,Estadio Luis Dosal,Toluca,0,0
+210,1970,Mexico,1970-06-06,Group Stage,Matchday 2,Group 2,Uruguay,Italy,,,0,0,,,,,Draw,Draw,Estadio Cuauhtémoc,Puebla,0,0
+211,1970,Mexico,1970-06-07,Group Stage,Matchday 2,Group 2,Sweden,Israel,,,1,1,,,,,Draw,Draw,Estadio Luis Dosal,Toluca,0,0
+212,1970,Mexico,1970-06-10,Group Stage,Matchday 3,Group 2,Uruguay,Sweden,,,0,1,,,,,Sweden,Normal Time,Estadio Cuauhtémoc,Puebla,0,0
+213,1970,Mexico,1970-06-11,Group Stage,Matchday 3,Group 2,Israel,Italy,,,0,0,,,,,Draw,Draw,Estadio Luis Dosal,Toluca,0,0
+214,1970,Mexico,1970-06-02,Group Stage,Matchday 1,Group 3,Romania,England,,,0,1,,,,,England,Normal Time,Estadio Jalisco,Guadalajara,0,0
+215,1970,Mexico,1970-06-03,Group Stage,Matchday 1,Group 3,Czechoslovakia,Brazil,,,1,4,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+216,1970,Mexico,1970-06-06,Group Stage,Matchday 2,Group 3,Romania,Czechoslovakia,,,2,1,,,,,Romania,Normal Time,Estadio Jalisco,Guadalajara,0,0
+217,1970,Mexico,1970-06-07,Group Stage,Matchday 2,Group 3,England,Brazil,,,0,1,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+218,1970,Mexico,1970-06-10,Group Stage,Matchday 3,Group 3,Romania,Brazil,,,2,3,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+219,1970,Mexico,1970-06-11,Group Stage,Matchday 3,Group 3,England,Czechoslovakia,,,1,0,,,,,England,Normal Time,Estadio Jalisco,Guadalajara,0,0
+220,1970,Mexico,1970-06-02,Group Stage,Matchday 1,Group 4,Peru,Bulgaria,,,3,2,,,,,Peru,Normal Time,Estadio Nou Camp,León,0,0
+221,1970,Mexico,1970-06-03,Group Stage,Matchday 1,Group 4,Morocco,West Germany,,,1,2,,,,,West Germany,Normal Time,Estadio Nou Camp,León,0,0
+222,1970,Mexico,1970-06-06,Group Stage,Matchday 2,Group 4,Peru,Morocco,,,3,0,,,,,Peru,Normal Time,Estadio Nou Camp,León,0,0
+223,1970,Mexico,1970-06-07,Group Stage,Matchday 2,Group 4,Bulgaria,West Germany,,,2,5,,,,,West Germany,Normal Time,Estadio Nou Camp,León,0,0
+224,1970,Mexico,1970-06-10,Group Stage,Matchday 3,Group 4,Peru,West Germany,,,1,3,,,,,West Germany,Normal Time,Estadio Nou Camp,León,0,0
+225,1970,Mexico,1970-06-11,Group Stage,Matchday 3,Group 4,Bulgaria,Morocco,,,1,1,,,,,Draw,Draw,Estadio Nou Camp,León,0,0
+226,1970,Mexico,1970-06-14,Quarter-final,Quarter-finals,,Soviet Union,Uruguay,,,0,0,0,1,,,Uruguay,Extra Time,Estadio Azteca,Mexico City,0,0
+227,1970,Mexico,1970-06-14,Quarter-final,Quarter-finals,,Italy,Mexico,,,4,1,,,,,Italy,Normal Time,Estadio Luis Dosal,Toluca,0,0
+228,1970,Mexico,1970-06-14,Quarter-final,Quarter-finals,,Brazil,Peru,,,4,2,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+229,1970,Mexico,1970-06-14,Quarter-final,Quarter-finals,,West Germany,England,,,2,2,3,2,,,West Germany,Extra Time,Estadio Nou Camp,León,0,0
+230,1970,Mexico,1970-06-17,Semi-final,Semi-finals,,Uruguay,Brazil,,,1,3,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+231,1970,Mexico,1970-06-17,Semi-final,Semi-finals,,Italy,West Germany,,,1,1,4,3,,,Italy,Extra Time,Estadio Azteca,Mexico City,0,0
+232,1970,Mexico,1970-06-20,Third Place Play-off,Match for third place,,Uruguay,West Germany,,,0,1,,,,,West Germany,Normal Time,Estadio Azteca,Mexico City,0,0
+233,1970,Mexico,1970-06-21,Final,Final,,Brazil,Italy,,,4,1,,,,,Brazil,Normal Time,Estadio Azteca,Mexico City,0,0
+234,1974,West Germany,1974-06-14,Group Stage,Matchday 1,Group 1,West Germany,Chile,,,1,0,,,,,West Germany,Normal Time,Olympiastadion,West Berlin,0,0
+235,1974,West Germany,1974-06-14,Group Stage,Matchday 1,Group 1,East Germany,Australia,,,2,0,,,,,East Germany,Normal Time,Volksparkstadion,Hamburg,0,0
+236,1974,West Germany,1974-06-18,Group Stage,Matchday 2,Group 1,Chile,East Germany,,,1,1,,,,,Draw,Draw,Olympiastadion,West Berlin,0,0
+237,1974,West Germany,1974-06-18,Group Stage,Matchday 2,Group 1,Australia,West Germany,,,0,3,,,,,West Germany,Normal Time,Volksparkstadion,Hamburg,0,0
+238,1974,West Germany,1974-06-22,Group Stage,Matchday 3,Group 1,Australia,Chile,,,0,0,,,,,Draw,Draw,Olympiastadion,West Berlin,0,0
+239,1974,West Germany,1974-06-22,Group Stage,Matchday 3,Group 1,East Germany,West Germany,,,1,0,,,,,East Germany,Normal Time,Volksparkstadion,Hamburg,0,0
+240,1974,West Germany,1974-06-13,Group Stage,Matchday 1,Group 2,Brazil,Yugoslavia,,,0,0,,,,,Draw,Draw,Waldstadion,Frankfurt,0,0
+241,1974,West Germany,1974-06-14,Group Stage,Matchday 1,Group 2,Zaire,Scotland,,,0,2,,,,,Scotland,Normal Time,Westfalenstadion,Dortmund,0,0
+242,1974,West Germany,1974-06-18,Group Stage,Matchday 2,Group 2,Yugoslavia,Zaire,,,9,0,,,,,Yugoslavia,Normal Time,Parkstadion,Gelsenkirchen,0,0
+243,1974,West Germany,1974-06-18,Group Stage,Matchday 2,Group 2,Scotland,Brazil,,,0,0,,,,,Draw,Draw,Waldstadion,Frankfurt,0,0
+244,1974,West Germany,1974-06-22,Group Stage,Matchday 3,Group 2,Scotland,Yugoslavia,,,1,1,,,,,Draw,Draw,Waldstadion,Frankfurt,0,0
+245,1974,West Germany,1974-06-22,Group Stage,Matchday 3,Group 2,Zaire,Brazil,,,0,3,,,,,Brazil,Normal Time,Parkstadion,Gelsenkirchen,0,0
+246,1974,West Germany,1974-06-15,Group Stage,Matchday 1,Group 3,Uruguay,Netherlands,,,0,2,,,,,Netherlands,Normal Time,Niedersachsenstadion,Hanover,0,0
+247,1974,West Germany,1974-06-15,Group Stage,Matchday 1,Group 3,Sweden,Bulgaria,,,0,0,,,,,Draw,Draw,Rheinstadion,Düsseldorf,0,0
+248,1974,West Germany,1974-06-19,Group Stage,Matchday 2,Group 3,Netherlands,Sweden,,,0,0,,,,,Draw,Draw,Westfalenstadion,Dortmund,0,0
+249,1974,West Germany,1974-06-19,Group Stage,Matchday 2,Group 3,Uruguay,Bulgaria,,,1,1,,,,,Draw,Draw,Niedersachsenstadion,Hanover,0,0
+250,1974,West Germany,1974-06-23,Group Stage,Matchday 3,Group 3,Netherlands,Bulgaria,,,4,1,,,,,Netherlands,Normal Time,Westfalenstadion,Dortmund,0,0
+251,1974,West Germany,1974-06-23,Group Stage,Matchday 3,Group 3,Sweden,Uruguay,,,3,0,,,,,Sweden,Normal Time,Rheinstadion,Düsseldorf,0,0
+252,1974,West Germany,1974-06-15,Group Stage,Matchday 1,Group 4,Italy,Haiti,,,3,1,,,,,Italy,Normal Time,Olympiastadion,München,0,0
+253,1974,West Germany,1974-06-15,Group Stage,Matchday 1,Group 4,Poland,Argentina,,,3,2,,,,,Poland,Normal Time,Neckarstadion,Stuttgart,0,0
+254,1974,West Germany,1974-06-19,Group Stage,Matchday 2,Group 4,Haiti,Poland,,,0,7,,,,,Poland,Normal Time,Olympiastadion,München,0,0
+255,1974,West Germany,1974-06-19,Group Stage,Matchday 2,Group 4,Argentina,Italy,,,1,1,,,,,Draw,Draw,Neckarstadion,Stuttgart,0,0
+256,1974,West Germany,1974-06-23,Group Stage,Matchday 3,Group 4,Argentina,Haiti,,,4,1,,,,,Argentina,Normal Time,Olympiastadion,München,0,0
+257,1974,West Germany,1974-06-23,Group Stage,Matchday 3,Group 4,Poland,Italy,,,2,1,,,,,Poland,Normal Time,Neckarstadion,Stuttgart,0,0
+258,1974,West Germany,1974-06-26,Group Stage,Matchday 4,Group A,Brazil,East Germany,,,1,0,,,,,Brazil,Normal Time,Niedersachsenstadion,Hanover,0,0
+259,1974,West Germany,1974-06-26,Group Stage,Matchday 4,Group A,Netherlands,Argentina,,,4,0,,,,,Netherlands,Normal Time,Parkstadion,Gelsenkirchen,0,0
+260,1974,West Germany,1974-06-30,Group Stage,Matchday 5,Group A,East Germany,Netherlands,,,0,2,,,,,Netherlands,Normal Time,Parkstadion,Gelsenkirchen,0,0
+261,1974,West Germany,1974-06-30,Group Stage,Matchday 5,Group A,Argentina,Brazil,,,1,2,,,,,Brazil,Normal Time,Niedersachsenstadion,Hanover,0,0
+262,1974,West Germany,1974-07-03,Group Stage,Matchday 6,Group A,Argentina,East Germany,,,1,1,,,,,Draw,Draw,Parkstadion,Gelsenkirchen,0,0
+263,1974,West Germany,1974-07-03,Group Stage,Matchday 6,Group A,Netherlands,Brazil,,,2,0,,,,,Netherlands,Normal Time,Westfalenstadion,Dortmund,0,0
+264,1974,West Germany,1974-06-26,Group Stage,Matchday 4,Group B,Yugoslavia,West Germany,,,0,2,,,,,West Germany,Normal Time,Rheinstadion,Düsseldorf,0,0
+265,1974,West Germany,1974-06-26,Group Stage,Matchday 4,Group B,Sweden,Poland,,,0,1,,,,,Poland,Normal Time,Neckarstadion,Stuttgart,0,0
+266,1974,West Germany,1974-06-30,Group Stage,Matchday 5,Group B,West Germany,Sweden,,,4,2,,,,,West Germany,Normal Time,Rheinstadion,Düsseldorf,0,0
+267,1974,West Germany,1974-06-30,Group Stage,Matchday 5,Group B,Poland,Yugoslavia,,,2,1,,,,,Poland,Normal Time,Waldstadion,Frankfurt,0,0
+268,1974,West Germany,1974-07-03,Group Stage,Matchday 6,Group B,Poland,West Germany,,,0,1,,,,,West Germany,Normal Time,Waldstadion,Frankfurt,0,0
+269,1974,West Germany,1974-07-03,Group Stage,Matchday 6,Group B,Sweden,Yugoslavia,,,2,1,,,,,Sweden,Normal Time,Rheinstadion,Düsseldorf,0,0
+270,1974,West Germany,1974-07-06,Third Place Play-off,Match for third place,,Brazil,Poland,,,0,1,,,,,Poland,Normal Time,Olympiastadion,München,0,0
+271,1974,West Germany,1974-07-07,Final,Final,,Netherlands,West Germany,,,1,2,,,,,West Germany,Normal Time,Olympiastadion,München,0,0
+272,1978,Argentina,1978-06-02,Group Stage,Matchday 1,Group 1,Argentina,Hungary,,,2,1,,,,,Argentina,Normal Time,Estadio Monumental,Buenos Aires,0,0
+273,1978,Argentina,1978-06-02,Group Stage,Matchday 1,Group 1,Italy,France,,,2,1,,,,,Italy,Normal Time,Estadio José María Minella,Mar del Plata,0,0
+274,1978,Argentina,1978-06-06,Group Stage,Matchday 2,Group 1,Argentina,France,,,2,1,,,,,Argentina,Normal Time,Estadio Monumental,Buenos Aires,0,0
+275,1978,Argentina,1978-06-06,Group Stage,Matchday 2,Group 1,Italy,Hungary,,,3,1,,,,,Italy,Normal Time,Estadio José María Minella,Mar del Plata,0,0
+276,1978,Argentina,1978-06-10,Group Stage,Matchday 3,Group 1,Argentina,Italy,,,0,1,,,,,Italy,Normal Time,Estadio Monumental,Buenos Aires,0,0
+277,1978,Argentina,1978-06-10,Group Stage,Matchday 3,Group 1,France,Hungary,,,3,1,,,,,France,Normal Time,Estadio José María Minella,Mar del Plata,0,0
+278,1978,Argentina,1978-06-01,Group Stage,Matchday 1,Group 2,West Germany,Poland,,,0,0,,,,,Draw,Draw,Estadio Monumental,Buenos Aires,0,0
+279,1978,Argentina,1978-06-02,Group Stage,Matchday 1,Group 2,Tunisia,Mexico,,,3,1,,,,,Tunisia,Normal Time,Estadio Gigante de Arroyito,Rosario,0,0
+280,1978,Argentina,1978-06-06,Group Stage,Matchday 2,Group 2,Poland,Tunisia,,,1,0,,,,,Poland,Normal Time,Estadio Gigante de Arroyito,Rosario,0,0
+281,1978,Argentina,1978-06-06,Group Stage,Matchday 2,Group 2,West Germany,Mexico,,,6,0,,,,,West Germany,Normal Time,Estadio Chateau Carreras,Córdoba,0,0
+282,1978,Argentina,1978-06-10,Group Stage,Matchday 3,Group 2,Poland,Mexico,,,3,1,,,,,Poland,Normal Time,Estadio Gigante de Arroyito,Rosario,0,0
+283,1978,Argentina,1978-06-10,Group Stage,Matchday 3,Group 2,West Germany,Tunisia,,,0,0,,,,,Draw,Draw,Estadio Olímpico Chateau Carreras,Córdoba,0,0
+284,1978,Argentina,1978-06-03,Group Stage,Matchday 1,Group 3,Austria,Spain,,,2,1,,,,,Austria,Normal Time,Estadio José Amalfitani,Buenos Aires,0,0
+285,1978,Argentina,1978-06-03,Group Stage,Matchday 1,Group 3,Brazil,Sweden,,,1,1,,,,,Draw,Draw,Estadio José Maria Minella,Mar del Plata,0,0
+286,1978,Argentina,1978-06-07,Group Stage,Matchday 2,Group 3,Austria,Sweden,,,1,0,,,,,Austria,Normal Time,Estadio José Amalfitani,Buenos Aires,0,0
+287,1978,Argentina,1978-06-07,Group Stage,Matchday 2,Group 3,Brazil,Spain,,,0,0,,,,,Draw,Draw,Estadio José Maria Minella,Mar del Plata,0,0
+288,1978,Argentina,1978-06-11,Group Stage,Matchday 3,Group 3,Spain,Sweden,,,1,0,,,,,Spain,Normal Time,Estadio José Amalfitani,Buenos Aires,0,0
+289,1978,Argentina,1978-06-11,Group Stage,Matchday 3,Group 3,Brazil,Austria,,,1,0,,,,,Brazil,Normal Time,Estadio José Maria Minella,Mar del Plata,0,0
+290,1978,Argentina,1978-06-03,Group Stage,Matchday 1,Group 4,Peru,Scotland,,,3,1,,,,,Peru,Normal Time,Estadio Chateau Carreras,Córdoba,0,0
+291,1978,Argentina,1978-06-03,Group Stage,Matchday 1,Group 4,Netherlands,Iran,,,3,0,,,,,Netherlands,Normal Time,Estadio Ciudad de Mendoza,Mendoza,0,0
+292,1978,Argentina,1978-06-07,Group Stage,Matchday 2,Group 4,Scotland,Iran,,,1,1,,,,,Draw,Draw,Estadio Chateau Carreras,Córdoba,0,0
+293,1978,Argentina,1978-06-07,Group Stage,Matchday 2,Group 4,Netherlands,Peru,,,0,0,,,,,Draw,Draw,Estadio Ciudad de Mendoza,Mendoza,0,0
+294,1978,Argentina,1978-06-11,Group Stage,Matchday 3,Group 4,Peru,Iran,,,4,1,,,,,Peru,Normal Time,Estadio Chateau Carreras,Córdoba,0,0
+295,1978,Argentina,1978-06-11,Group Stage,Matchday 3,Group 4,Scotland,Netherlands,,,3,2,,,,,Scotland,Normal Time,Estadio Ciudad de Mendoza,Mendoza,0,0
+296,1978,Argentina,1978-06-14,Group Stage,Matchday 4,Group A,Italy,West Germany,,,0,0,,,,,Draw,Draw,Estadio Monumental,Buenos Aires,0,0
+297,1978,Argentina,1978-06-14,Group Stage,Matchday 4,Group A,Austria,Netherlands,,,1,5,,,,,Netherlands,Normal Time,Estadio Chateau Carreras,Córdoba,0,0
+298,1978,Argentina,1978-06-18,Group Stage,Matchday 5,Group A,Italy,Austria,,,1,0,,,,,Italy,Normal Time,Estadio Monumental,Buenos Aires,0,0
+299,1978,Argentina,1978-06-18,Group Stage,Matchday 5,Group A,Netherlands,West Germany,,,2,2,,,,,Draw,Draw,Estadio Chateau Carreras,Córdoba,0,0
+300,1978,Argentina,1978-06-21,Group Stage,Matchday 6,Group A,Italy,Netherlands,,,1,2,,,,,Netherlands,Normal Time,Estadio Monumental,Buenos Aires,0,0
+301,1978,Argentina,1978-06-21,Group Stage,Matchday 6,Group A,Austria,West Germany,,,3,2,,,,,Austria,Normal Time,Estadio Chateau Carreras,Córdoba,0,0
+302,1978,Argentina,1978-06-14,Group Stage,Matchday 4,Group B,Argentina,Poland,,,2,0,,,,,Argentina,Normal Time,Estadio Gigante de Arroyito,Rosario,0,0
+303,1978,Argentina,1978-06-14,Group Stage,Matchday 4,Group B,Peru,Brazil,,,0,3,,,,,Brazil,Normal Time,Estadio Ciudad de Mendoza,Mendoza,0,0
+304,1978,Argentina,1978-06-18,Group Stage,Matchday 5,Group B,Argentina,Brazil,,,0,0,,,,,Draw,Draw,Estadio Gigante de Arroyito,Rosario,0,0
+305,1978,Argentina,1978-06-18,Group Stage,Matchday 5,Group B,Peru,Poland,,,0,1,,,,,Poland,Normal Time,Estadio Ciudad de Mendoza,Mendoza,0,0
+306,1978,Argentina,1978-06-21,Group Stage,Matchday 6,Group B,Argentina,Peru,,,6,0,,,,,Argentina,Normal Time,Estadio Gigante de Arroyito,Rosario,0,0
+307,1978,Argentina,1978-06-21,Group Stage,Matchday 6,Group B,Poland,Brazil,,,1,3,,,,,Brazil,Normal Time,Estadio Ciudad de Mendoza,Mendoza,0,0
+308,1978,Argentina,1978-06-24,Third Place Play-off,Third place match,,Brazil,Italy,,,2,1,,,,,Brazil,Normal Time,Estadio Monumental,Buenos Aires,0,0
+309,1978,Argentina,1978-06-25,Final,Final,,Netherlands,Argentina,,,1,1,1,3,,,Argentina,Extra Time,Estadio Monumental,Buenos Aires,0,0
+310,1982,Spain,1982-06-14,Group Stage,Matchday 1,Group 1,Italy,Poland,,,0,0,,,,,Draw,Draw,Balaídos,Vigo,0,0
+311,1982,Spain,1982-06-15,Group Stage,Matchday 1,Group 1,Peru,Cameroon,,,0,0,,,,,Draw,Draw,Estadio de Riazor,A Coruña,0,0
+312,1982,Spain,1982-06-18,Group Stage,Matchday 2,Group 1,Italy,Peru,,,1,1,,,,,Draw,Draw,Balaídos,Vigo,0,0
+313,1982,Spain,1982-06-19,Group Stage,Matchday 2,Group 1,Poland,Cameroon,,,0,0,,,,,Draw,Draw,Estadio de Riazor,A Coruña,0,0
+314,1982,Spain,1982-06-22,Group Stage,Matchday 3,Group 1,Poland,Peru,,,5,1,,,,,Poland,Normal Time,Estadio de Riazor,A Coruña,0,0
+315,1982,Spain,1982-06-23,Group Stage,Matchday 3,Group 1,Italy,Cameroon,,,1,1,,,,,Draw,Draw,Balaídos,Vigo,0,0
+316,1982,Spain,1982-06-16,Group Stage,Matchday 1,Group 2,West Germany,Algeria,,,1,2,,,,,Algeria,Normal Time,El Molinón,Gijón,0,0
+317,1982,Spain,1982-06-17,Group Stage,Matchday 1,Group 2,Chile,Austria,,,0,1,,,,,Austria,Normal Time,Estadio Carlos Tartiere,Oviedo,0,0
+318,1982,Spain,1982-06-20,Group Stage,Matchday 2,Group 2,West Germany,Chile,,,4,1,,,,,West Germany,Normal Time,El Molinón,Gijón,0,0
+319,1982,Spain,1982-06-21,Group Stage,Matchday 2,Group 2,Algeria,Austria,,,0,2,,,,,Austria,Normal Time,Estadio Carlos Tartiere,Oviedo,0,0
+320,1982,Spain,1982-06-24,Group Stage,Matchday 3,Group 2,Algeria,Chile,,,3,2,,,,,Algeria,Normal Time,Estadio Carlos Tartiere,Oviedo,0,0
+321,1982,Spain,1982-06-25,Group Stage,Matchday 3,Group 2,West Germany,Austria,,,1,0,,,,,West Germany,Normal Time,El Molinón,Gijón,0,0
+322,1982,Spain,1982-06-13,Group Stage,Matchday 1,Group 3,Argentina,Belgium,,,0,1,,,,,Belgium,Normal Time,Camp Nou,Barcelona,0,0
+323,1982,Spain,1982-06-15,Group Stage,Matchday 1,Group 3,Hungary,El Salvador,,,10,1,,,,,Hungary,Normal Time,Nuevo Estadio,Elche,0,0
+324,1982,Spain,1982-06-18,Group Stage,Matchday 2,Group 3,Argentina,Hungary,,,4,1,,,,,Argentina,Normal Time,Estadio José Rico Pérez,Alicante,0,0
+325,1982,Spain,1982-06-19,Group Stage,Matchday 2,Group 3,Belgium,El Salvador,,,1,0,,,,,Belgium,Normal Time,Nuevo Estadio,Elche,0,0
+326,1982,Spain,1982-06-22,Group Stage,Matchday 3,Group 3,Belgium,Hungary,,,1,1,,,,,Draw,Draw,Nuevo Estadio,Elche,0,0
+327,1982,Spain,1982-06-23,Group Stage,Matchday 3,Group 3,Argentina,El Salvador,,,2,0,,,,,Argentina,Normal Time,Estadio José Rico Pérez,Alicante,0,0
+328,1982,Spain,1982-06-16,Group Stage,Matchday 1,Group 4,England,France,,,3,1,,,,,England,Normal Time,Estadio San Mamés,Bilbao,0,0
+329,1982,Spain,1982-06-17,Group Stage,Matchday 1,Group 4,Czechoslovakia,Kuwait,,,1,1,,,,,Draw,Draw,Estadio José Zorrilla,Valladolid,0,0
+330,1982,Spain,1982-06-20,Group Stage,Matchday 2,Group 4,England,Czechoslovakia,,,2,0,,,,,England,Normal Time,Estadio San Mamés,Bilbao,0,0
+331,1982,Spain,1982-06-21,Group Stage,Matchday 2,Group 4,France,Kuwait,,,4,1,,,,,France,Normal Time,Estadio José Zorrilla,Valladolid,0,0
+332,1982,Spain,1982-06-24,Group Stage,Matchday 3,Group 4,France,Czechoslovakia,,,1,1,,,,,Draw,Draw,Estadio José Zorrilla,Valladolid,0,0
+333,1982,Spain,1982-06-25,Group Stage,Matchday 3,Group 4,England,Kuwait,,,1,0,,,,,England,Normal Time,Estadio San Mamés,Bilbao,0,0
+334,1982,Spain,1982-06-16,Group Stage,Matchday 1,Group 5,Spain,Honduras,,,1,1,,,,,Draw,Draw,Estadio Luis Casanova,Valencia,0,0
+335,1982,Spain,1982-06-17,Group Stage,Matchday 1,Group 5,Yugoslavia,Northern Ireland,,,0,0,,,,,Draw,Draw,La Romareda,Zaragoza,0,0
+336,1982,Spain,1982-06-20,Group Stage,Matchday 2,Group 5,Spain,Yugoslavia,,,2,1,,,,,Spain,Normal Time,Estadio Luis Casanova,Valencia,0,0
+337,1982,Spain,1982-06-21,Group Stage,Matchday 2,Group 5,Honduras,Northern Ireland,,,1,1,,,,,Draw,Draw,La Romareda,Zaragoza,0,0
+338,1982,Spain,1982-06-24,Group Stage,Matchday 3,Group 5,Honduras,Yugoslavia,,,0,1,,,,,Yugoslavia,Normal Time,La Romareda,Zaragoza,0,0
+339,1982,Spain,1982-06-25,Group Stage,Matchday 3,Group 5,Spain,Northern Ireland,,,0,1,,,,,Northern Ireland,Normal Time,Estadio Luis Casanova,Valencia,0,0
+340,1982,Spain,1982-06-14,Group Stage,Matchday 1,Group 6,Brazil,Soviet Union,,,2,1,,,,,Brazil,Normal Time,Estadio Ramón Sánchez Pizjuán,Seville,0,0
+341,1982,Spain,1982-06-15,Group Stage,Matchday 1,Group 6,Scotland,New Zealand,,,5,2,,,,,Scotland,Normal Time,Estadio La Rosaleda,Málaga,0,0
+342,1982,Spain,1982-06-18,Group Stage,Matchday 2,Group 6,Brazil,Scotland,,,4,1,,,,,Brazil,Normal Time,Estadio Benito Villamarín,Seville,0,0
+343,1982,Spain,1982-06-19,Group Stage,Matchday 2,Group 6,Soviet Union,New Zealand,,,3,0,,,,,Soviet Union,Normal Time,Estadio La Rosaleda,Málaga,0,0
+344,1982,Spain,1982-06-22,Group Stage,Matchday 3,Group 6,Soviet Union,Scotland,,,2,2,,,,,Draw,Draw,Estadio La Rosaleda,Málaga,0,0
+345,1982,Spain,1982-06-23,Group Stage,Matchday 3,Group 6,Brazil,New Zealand,,,4,0,,,,,Brazil,Normal Time,Estadio Benito Villamarín,Seville,0,0
+346,1982,Spain,1982-06-28,Group Stage,Matchday 4,Group A,Poland,Belgium,,,3,0,,,,,Poland,Normal Time,Camp Nou,Barcelona,0,0
+347,1982,Spain,1982-07-01,Group Stage,Matchday 5,Group A,Belgium,Soviet Union,,,0,1,,,,,Soviet Union,Normal Time,Camp Nou,Barcelona,0,0
+348,1982,Spain,1982-07-04,Group Stage,Matchday 6,Group A,Soviet Union,Poland,,,0,0,,,,,Draw,Draw,Camp Nou,Barcelona,0,0
+349,1982,Spain,1982-06-29,Group Stage,Matchday 4,Group B,West Germany,England,,,0,0,,,,,Draw,Draw,Estadio Santiago Bernabéu,Madrid,0,0
+350,1982,Spain,1982-07-02,Group Stage,Matchday 5,Group B,West Germany,Spain,,,2,1,,,,,West Germany,Normal Time,Estadio Santiago Bernabéu,Madrid,0,0
+351,1982,Spain,1982-07-05,Group Stage,Matchday 6,Group B,Spain,England,,,0,0,,,,,Draw,Draw,Estadio Santiago Bernabéu,Madrid,0,0
+352,1982,Spain,1982-06-29,Group Stage,Matchday 4,Group C,Italy,Argentina,,,2,1,,,,,Italy,Normal Time,Estadio Sarriá,Barcelona,0,0
+353,1982,Spain,1982-07-02,Group Stage,Matchday 5,Group C,Argentina,Brazil,,,1,3,,,,,Brazil,Normal Time,Estadio Sarriá,Barcelona,0,0
+354,1982,Spain,1982-07-05,Group Stage,Matchday 6,Group C,Italy,Brazil,,,3,2,,,,,Italy,Normal Time,Estadio Sarriá,Barcelona,0,0
+355,1982,Spain,1982-06-28,Group Stage,Matchday 4,Group D,Austria,France,,,0,1,,,,,France,Normal Time,Estadio Vicente Calderón,Madrid,0,0
+356,1982,Spain,1982-07-01,Group Stage,Matchday 5,Group D,Austria,Northern Ireland,,,2,2,,,,,Draw,Draw,Estadio Vicente Calderón,Madrid,0,0
+357,1982,Spain,1982-07-04,Group Stage,Matchday 6,Group D,Northern Ireland,France,,,1,4,,,,,France,Normal Time,Estadio Vicente Calderón,Madrid,0,0
+358,1982,Spain,1982-07-08,Semi-final,Semi-finals,,Poland,Italy,,,0,2,,,,,Italy,Normal Time,Camp Nou,Barcelona,0,0
+359,1982,Spain,1982-07-08,Semi-final,Semi-finals,,West Germany,France,,,1,1,3,3,5,4,West Germany,Penalties,Estadio Ramón Sánchez Pizjuán,Seville,0,0
+360,1982,Spain,1982-07-10,Third Place Play-off,Third place match,,Poland,France,,,3,2,,,,,Poland,Normal Time,Estadio José Rico Pérez,Alicante,0,0
+361,1982,Spain,1982-07-11,Final,Final,,Italy,West Germany,,,3,1,,,,,Italy,Normal Time,Estadio Santiago Bernabéu,,0,0
+362,1986,Mexico,1986-05-31,Group Stage,Matchday 1,Group A,Bulgaria,Italy,,,1,1,,,,,Draw,Draw,Estadio Azteca,Mexico City,0,0
+363,1986,Mexico,1986-06-02,Group Stage,Matchday 1,Group A,Argentina,South Korea,,,3,1,,,,,Argentina,Normal Time,Estadio Olímpico Universitario,Mexico City,0,0
+364,1986,Mexico,1986-06-05,Group Stage,Matchday 2,Group A,Italy,Argentina,,,1,1,,,,,Draw,Draw,Estadio Cuauhtémoc,Puebla,0,0
+365,1986,Mexico,1986-06-05,Group Stage,Matchday 2,Group A,South Korea,Bulgaria,,,1,1,,,,,Draw,Draw,Estadio Olímpico Universitario,Mexico City,0,0
+366,1986,Mexico,1986-06-10,Group Stage,Matchday 3,Group A,South Korea,Italy,,,2,3,,,,,Italy,Normal Time,Estadio Cuauhtémoc,Puebla,0,0
+367,1986,Mexico,1986-06-10,Group Stage,Matchday 3,Group A,Argentina,Bulgaria,,,2,0,,,,,Argentina,Normal Time,Estadio Olímpico Universitario,Mexico City,0,0
+368,1986,Mexico,1986-06-03,Group Stage,Matchday 1,Group B,Belgium,Mexico,,,1,2,,,,,Mexico,Normal Time,Estadio Azteca,Mexico City,0,0
+369,1986,Mexico,1986-06-04,Group Stage,Matchday 1,Group B,Paraguay,Iraq,,,1,0,,,,,Paraguay,Normal Time,Estadio Nemesio Díez,Toluca,0,0
+370,1986,Mexico,1986-06-07,Group Stage,Matchday 2,Group B,Mexico,Paraguay,,,1,1,,,,,Draw,Draw,Estadio Azteca,Mexico City,0,0
+371,1986,Mexico,1986-06-08,Group Stage,Matchday 2,Group B,Iraq,Belgium,,,1,2,,,,,Belgium,Normal Time,Estadio Nemesio Díez,Toluca,0,0
+372,1986,Mexico,1986-06-11,Group Stage,Matchday 3,Group B,Iraq,Mexico,,,0,1,,,,,Mexico,Normal Time,Estadio Azteca,Mexico City,0,0
+373,1986,Mexico,1986-06-11,Group Stage,Matchday 3,Group B,Paraguay,Belgium,,,2,2,,,,,Draw,Draw,Estadio Nemesio Díez,Toluca,0,0
+374,1986,Mexico,1986-06-01,Group Stage,Matchday 1,Group C,Canada,France,,,0,1,,,,,France,Normal Time,Estadio Nou Camp,León,0,0
+375,1986,Mexico,1986-06-02,Group Stage,Matchday 1,Group C,Soviet Union,Hungary,,,6,0,,,,,Soviet Union,Normal Time,Estadio Sergio León Chavez,Irapuato,0,0
+376,1986,Mexico,1986-06-05,Group Stage,Matchday 2,Group C,France,Soviet Union,,,1,1,,,,,Draw,Draw,Estadio Nou Camp,León,0,0
+377,1986,Mexico,1986-06-06,Group Stage,Matchday 2,Group C,Hungary,Canada,,,2,0,,,,,Hungary,Normal Time,Estadio Sergio León Chavez,Irapuato,0,0
+378,1986,Mexico,1986-06-09,Group Stage,Matchday 3,Group C,Hungary,France,,,0,3,,,,,France,Normal Time,Estadio Nou Camp,León,0,0
+379,1986,Mexico,1986-06-09,Group Stage,Matchday 3,Group C,Soviet Union,Canada,,,2,0,,,,,Soviet Union,Normal Time,Estadio Sergio León Chavez,Irapuato,0,0
+380,1986,Mexico,1986-06-01,Group Stage,Matchday 1,Group D,Spain,Brazil,,,0,1,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+381,1986,Mexico,1986-06-03,Group Stage,Matchday 1,Group D,Algeria,Northern Ireland,,,1,1,,,,,Draw,Draw,Estadio Tres de Marzo,Guadalajara,0,0
+382,1986,Mexico,1986-06-06,Group Stage,Matchday 2,Group D,Brazil,Algeria,,,1,0,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+383,1986,Mexico,1986-06-07,Group Stage,Matchday 2,Group D,Northern Ireland,Spain,,,1,2,,,,,Spain,Normal Time,Estadio Tres de Marzo,Guadalajara,0,0
+384,1986,Mexico,1986-06-12,Group Stage,Matchday 3,Group D,Northern Ireland,Brazil,,,0,3,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+385,1986,Mexico,1986-06-12,Group Stage,Matchday 3,Group D,Algeria,Spain,,,0,3,,,,,Spain,Normal Time,Estadio Tecnológico,Monterrey,0,0
+386,1986,Mexico,1986-06-04,Group Stage,Matchday 1,Group E,Uruguay,West Germany,,,1,1,,,,,Draw,Draw,Estadio La Corregidora,Querétaro,0,0
+387,1986,Mexico,1986-06-04,Group Stage,Matchday 1,Group E,Scotland,Denmark,,,0,1,,,,,Denmark,Normal Time,Estadio Neza 86,Nezahualcóyotl,0,0
+388,1986,Mexico,1986-06-08,Group Stage,Matchday 2,Group E,West Germany,Scotland,,,2,1,,,,,West Germany,Normal Time,Estadio La Corregidora,Querétaro,0,0
+389,1986,Mexico,1986-06-08,Group Stage,Matchday 2,Group E,Denmark,Uruguay,,,6,1,,,,,Denmark,Normal Time,Estadio Neza 86,Nezahualcóyotl,0,0
+390,1986,Mexico,1986-06-13,Group Stage,Matchday 3,Group E,Denmark,West Germany,,,2,0,,,,,Denmark,Normal Time,Estadio La Corregidora,Querétaro,0,0
+391,1986,Mexico,1986-06-13,Group Stage,Matchday 3,Group E,Scotland,Uruguay,,,0,0,,,,,Draw,Draw,Estadio Neza 86,Nezahualcóyotl,0,0
+392,1986,Mexico,1986-06-02,Group Stage,Matchday 1,Group F,Morocco,Poland,,,0,0,,,,,Draw,Draw,Estadio Universitario,Monterrey,0,0
+393,1986,Mexico,1986-06-03,Group Stage,Matchday 1,Group F,Portugal,England,,,1,0,,,,,Portugal,Normal Time,Estadio Tecnológico,Monterrey,0,0
+394,1986,Mexico,1986-06-06,Group Stage,Matchday 2,Group F,England,Morocco,,,0,0,,,,,Draw,Draw,Estadio Tecnológico,Monterrey,0,0
+395,1986,Mexico,1986-06-07,Group Stage,Matchday 2,Group F,Poland,Portugal,,,1,0,,,,,Poland,Normal Time,Estadio Universitario,Monterrey,0,0
+396,1986,Mexico,1986-06-11,Group Stage,Matchday 3,Group F,Portugal,Morocco,,,1,3,,,,,Morocco,Normal Time,Estadio Tres de Marzo,Guadalajara,0,0
+397,1986,Mexico,1986-06-11,Group Stage,Matchday 3,Group F,England,Poland,,,3,0,,,,,England,Normal Time,Estadio Tecnológico,Monterrey,0,0
+398,1986,Mexico,1986-06-15,Round of 16,Round of 16,,Mexico,Bulgaria,,,2,0,,,,,Mexico,Normal Time,Estadio Azteca,Mexico City,0,0
+399,1986,Mexico,1986-06-15,Round of 16,Round of 16,,Soviet Union,Belgium,,,2,2,3,4,,,Belgium,Extra Time,Estadio Nou Camp,León,0,0
+400,1986,Mexico,1986-06-16,Round of 16,Round of 16,,Argentina,Uruguay,,,1,0,,,,,Argentina,Normal Time,Estadio Cuauhtémoc,Puebla,0,0
+401,1986,Mexico,1986-06-16,Round of 16,Round of 16,,Brazil,Poland,,,4,0,,,,,Brazil,Normal Time,Estadio Jalisco,Guadalajara,0,0
+402,1986,Mexico,1986-06-17,Round of 16,Round of 16,,Italy,France,,,0,2,,,,,France,Normal Time,Estadio Olímpico Universitario,Mexico City,0,0
+403,1986,Mexico,1986-06-17,Round of 16,Round of 16,,Morocco,West Germany,,,0,1,,,,,West Germany,Normal Time,Estadio Universitario,Monterrey,0,0
+404,1986,Mexico,1986-06-18,Round of 16,Round of 16,,England,Paraguay,,,3,0,,,,,England,Normal Time,Estadio Azteca,Mexico City,0,0
+405,1986,Mexico,1986-06-18,Round of 16,Round of 16,,Denmark,Spain,,,1,5,,,,,Spain,Normal Time,Estadio La Corregidora,Querétaro,0,0
+406,1986,Mexico,1986-06-21,Quarter-final,Quarter-finals,,Brazil,France,,,1,1,1,1,3,4,France,Penalties,Estadio Jalisco,Guadalajara,0,0
+407,1986,Mexico,1986-06-21,Quarter-final,Quarter-finals,,West Germany,Mexico,,,0,0,0,0,4,1,West Germany,Penalties,Estadio Universitario,Monterrey,0,0
+408,1986,Mexico,1986-06-22,Quarter-final,Quarter-finals,,Spain,Belgium,,,1,1,1,1,4,5,Belgium,Penalties,Estadio Cuauhtémoc,Puebla,0,0
+409,1986,Mexico,1986-06-22,Quarter-final,Quarter-finals,,Argentina,England,,,2,1,,,,,Argentina,Normal Time,Estadio Azteca,Mexico City,0,0
+410,1986,Mexico,1986-06-25,Semi-final,Semi-finals,,Argentina,Belgium,,,2,0,,,,,Argentina,Normal Time,Estadio Azteca,Mexico City,0,0
+411,1986,Mexico,1986-06-25,Semi-final,Semi-finals,,France,West Germany,,,0,2,,,,,West Germany,Normal Time,Estadio Jalisco,Guadalajara,0,0
+412,1986,Mexico,1986-06-28,Third Place Play-off,Third place match,,France,Belgium,,,2,2,4,2,,,France,Extra Time,Estadio Cuauhtémoc,Puebla,0,0
+413,1986,Mexico,1986-06-29,Final,Final,,Argentina,West Germany,,,3,2,,,,,Argentina,Normal Time,Estadio Azteca,Mexico City,0,0
+414,1990,Italy,1990-06-09,Group Stage,Matchday 1,Group A,Italy,Austria,,,1,0,,,,,Italy,Normal Time,Stadio Olimpico,Rome,0,0
+415,1990,Italy,1990-06-10,Group Stage,Matchday 1,Group A,United States,Czechoslovakia,,,1,5,,,,,Czechoslovakia,Normal Time,Stadio Comunale,Florence,0,0
+416,1990,Italy,1990-06-14,Group Stage,Matchday 2,Group A,Italy,United States,,,1,0,,,,,Italy,Normal Time,Stadio Olimpico,Rome,0,0
+417,1990,Italy,1990-06-15,Group Stage,Matchday 2,Group A,Austria,Czechoslovakia,,,0,1,,,,,Czechoslovakia,Normal Time,Stadio Comunale,Florence,0,0
+418,1990,Italy,1990-06-19,Group Stage,Matchday 3,Group A,Italy,Czechoslovakia,,,2,0,,,,,Italy,Normal Time,Stadio Olimpico,Rome,0,0
+419,1990,Italy,1990-06-19,Group Stage,Matchday 3,Group A,Austria,United States,,,2,1,,,,,Austria,Normal Time,Stadio Comunale,Florence,0,0
+420,1990,Italy,1990-06-08,Group Stage,Matchday 1,Group B,Argentina,Cameroon,,,0,1,,,,,Cameroon,Normal Time,San Siro,Milan,0,0
+421,1990,Italy,1990-06-09,Group Stage,Matchday 1,Group B,Soviet Union,Romania,,,0,2,,,,,Romania,Normal Time,Stadio San Nicola,Bari,0,0
+422,1990,Italy,1990-06-13,Group Stage,Matchday 1,Group B,Argentina,Soviet Union,,,2,0,,,,,Argentina,Normal Time,Stadio San Paolo,Naples,0,0
+423,1990,Italy,1990-06-14,Group Stage,Matchday 2,Group B,Cameroon,Romania,,,2,1,,,,,Cameroon,Normal Time,Stadio San Nicola,Bari,0,0
+424,1990,Italy,1990-06-18,Group Stage,Matchday 3,Group B,Argentina,Romania,,,1,1,,,,,Draw,Draw,Stadio San Paolo,Naples,0,0
+425,1990,Italy,1990-06-18,Group Stage,Matchday 3,Group B,Cameroon,Soviet Union,,,0,4,,,,,Soviet Union,Normal Time,Stadio San Nicola,Bari,0,0
+426,1990,Italy,1990-06-10,Group Stage,Matchday 1,Group C,Brazil,Sweden,,,2,1,,,,,Brazil,Normal Time,Stadio Delle Alpi,Turin,0,0
+427,1990,Italy,1990-06-11,Group Stage,Matchday 1,Group C,Costa Rica,Scotland,,,1,0,,,,,Costa Rica,Normal Time,Stadio Luigi Ferraris,Genoa,0,0
+428,1990,Italy,1990-06-16,Group Stage,Matchday 2,Group C,Brazil,Costa Rica,,,1,0,,,,,Brazil,Normal Time,Stadio Delle Alpi,Turin,0,0
+429,1990,Italy,1990-06-16,Group Stage,Matchday 2,Group C,Sweden,Scotland,,,1,2,,,,,Scotland,Normal Time,Stadio Luigi Ferraris,Genoa,0,0
+430,1990,Italy,1990-06-20,Group Stage,Matchday 3,Group C,Brazil,Scotland,,,1,0,,,,,Brazil,Normal Time,Stadio Delle Alpi,Turin,0,0
+431,1990,Italy,1990-06-20,Group Stage,Matchday 3,Group C,Sweden,Costa Rica,,,1,2,,,,,Costa Rica,Normal Time,Stadio Luigi Ferraris,Genoa,0,0
+432,1990,Italy,1990-06-09,Group Stage,Matchday 1,Group D,United Arab Emirates,Colombia,,,0,2,,,,,Colombia,Normal Time,Stadio Renato Dall'Ara,Bologna,0,0
+433,1990,Italy,1990-06-10,Group Stage,Matchday 1,Group D,West Germany,Yugoslavia,,,4,1,,,,,West Germany,Normal Time,San Siro,Milan,0,0
+434,1990,Italy,1990-06-14,Group Stage,Matchday 2,Group D,Yugoslavia,Colombia,,,1,0,,,,,Yugoslavia,Normal Time,Stadio Renato Dall'Ara,Bologna,0,0
+435,1990,Italy,1990-06-15,Group Stage,Matchday 2,Group D,West Germany,United Arab Emirates,,,5,1,,,,,West Germany,Normal Time,San Siro,Milan,0,0
+436,1990,Italy,1990-06-19,Group Stage,Matchday 3,Group D,West Germany,Colombia,,,1,1,,,,,Draw,Draw,San Siro,Milan,0,0
+437,1990,Italy,1990-06-19,Group Stage,Matchday 3,Group D,Yugoslavia,United Arab Emirates,,,4,1,,,,,Yugoslavia,Normal Time,Stadio Renato Dall'Ara,Bologna,0,0
+438,1990,Italy,1990-06-12,Group Stage,Matchday 1,Group E,Belgium,South Korea,,,2,0,,,,,Belgium,Normal Time,Stadio Marc'Antonio Bentegodi,Verona,0,0
+439,1990,Italy,1990-06-13,Group Stage,Matchday 1,Group E,Uruguay,Spain,,,0,0,,,,,Draw,Draw,Stadio Friuli,Udine,0,0
+440,1990,Italy,1990-06-17,Group Stage,Matchday 2,Group E,Belgium,Uruguay,,,3,1,,,,,Belgium,Normal Time,Stadio Marc'Antonio Bentegodi,Verona,0,0
+441,1990,Italy,1990-06-17,Group Stage,Matchday 2,Group E,South Korea,Spain,,,1,3,,,,,Spain,Normal Time,Stadio Friuli,Udine,0,0
+442,1990,Italy,1990-06-21,Group Stage,Matchday 3,Group E,Belgium,Spain,,,1,2,,,,,Spain,Normal Time,Stadio Marc'Antonio Bentegodi,Verona,0,0
+443,1990,Italy,1990-06-21,Group Stage,Matchday 3,Group E,South Korea,Uruguay,,,0,1,,,,,Uruguay,Normal Time,Stadio Friuli,Udine,0,0
+444,1990,Italy,1990-06-11,Group Stage,Matchday 1,Group F,England,Ireland,,,1,1,,,,,Draw,Draw,Stadio Sant'Elia,Cagliari,0,0
+445,1990,Italy,1990-06-12,Group Stage,Matchday 1,Group F,Netherlands,Egypt,,,1,1,,,,,Draw,Draw,Stadio La Favorita,Palermo,0,0
+446,1990,Italy,1990-06-16,Group Stage,Matchday 2,Group F,England,Netherlands,,,0,0,,,,,Draw,Draw,Stadio Sant'Elia,Cagliari,0,0
+447,1990,Italy,1990-06-17,Group Stage,Matchday 2,Group F,Ireland,Egypt,,,0,0,,,,,Draw,Draw,Stadio La Favorita,Palermo,0,0
+448,1990,Italy,1990-06-21,Group Stage,Matchday 3,Group F,England,Egypt,,,1,0,,,,,England,Normal Time,Stadio Sant'Elia,Cagliari,0,0
+449,1990,Italy,1990-06-21,Group Stage,Matchday 3,Group F,Ireland,Netherlands,,,1,1,,,,,Draw,Draw,Stadio La Favorita,Palermo,0,0
+450,1990,Italy,1990-06-23,Round of 16,Round of 16,,Cameroon,Colombia,,,0,0,2,1,,,Cameroon,Extra Time,Stadio San Paolo,Naples,0,0
+451,1990,Italy,1990-06-23,Round of 16,Round of 16,,Czechoslovakia,Costa Rica,,,4,1,,,,,Czechoslovakia,Normal Time,Stadio San Nicola,Bari,0,0
+452,1990,Italy,1990-06-24,Round of 16,Round of 16,,Brazil,Argentina,,,0,1,,,,,Argentina,Normal Time,Stadio Delle Alpi,Turin,0,0
+453,1990,Italy,1990-06-24,Round of 16,Round of 16,,West Germany,Netherlands,,,2,1,,,,,West Germany,Normal Time,San Siro,Milan,0,0
+454,1990,Italy,1990-06-25,Round of 16,Round of 16,,Ireland,Romania,,,0,0,0,0,5,4,Ireland,Penalties,Stadio Luigi Ferraris,Genoa,0,0
+455,1990,Italy,1990-06-25,Round of 16,Round of 16,,Italy,Uruguay,,,2,0,,,,,Italy,Normal Time,Stadio Olimpico,Rome,0,0
+456,1990,Italy,1990-06-26,Round of 16,Round of 16,,Spain,Yugoslavia,,,1,1,1,2,,,Yugoslavia,Extra Time,Stadio Marc'Antonio Bentegodi,Verona,0,0
+457,1990,Italy,1990-06-26,Round of 16,Round of 16,,England,Belgium,,,0,0,1,0,,,England,Extra Time,Stadio Renato Dall'Ara,Bologna,0,0
+458,1990,Italy,1990-06-30,Quarter-final,Quarter-finals,,Yugoslavia,Argentina,,,0,0,0,0,2,3,Argentina,Penalties,Stadio Artemio Franchi,Florence,0,0
+459,1990,Italy,1990-06-30,Quarter-final,Quarter-finals,,Italy,Ireland,,,1,0,,,,,Italy,Normal Time,Stadio Olimpico,Rome,0,0
+460,1990,Italy,1990-07-01,Quarter-final,Quarter-finals,,West Germany,Czechoslovakia,,,1,0,,,,,West Germany,Normal Time,San Siro,Milan,0,0
+461,1990,Italy,1990-07-01,Quarter-final,Quarter-finals,,England,Cameroon,,,2,2,3,2,,,England,Extra Time,Stadio San Paolo,Naples,0,0
+462,1990,Italy,1990-07-03,Semi-final,Semi-finals,,Italy,Argentina,,,1,1,1,1,3,4,Argentina,Penalties,Stadio San Paolo,Naples,1,1
+463,1990,Italy,1990-07-04,Semi-final,Semi-finals,,West Germany,England,,,1,1,1,1,4,3,West Germany,Penalties,Stadio delle Alpi,Turin,1,1
+464,1990,Italy,1990-07-07,Third Place Play-off,Third place match,,Italy,England,,,2,1,,,,,Italy,Normal Time,Stadio San Nicola,Bari,2,1
+465,1990,Italy,1990-07-08,Final,Final,,West Germany,Argentina,,,1,0,,,,,West Germany,Normal Time,Stadio Olimpico,Rome,1,0
+466,1994,United States,1994-06-18,Group Stage,Matchday 1,Group A,USA,Switzerland,,,1,1,,,,,Draw,Draw,Pontiac Silverdome,Pontiac,0,0
+467,1994,United States,1994-06-18,Group Stage,Matchday 1,Group A,Colombia,Romania,,,1,3,,,,,Romania,Normal Time,Rose Bowl,Pasadena,0,0
+468,1994,United States,1994-06-22,Group Stage,Matchday 2,Group A,Romania,Switzerland,,,1,4,,,,,Switzerland,Normal Time,Pontiac Silverdome,Pontiac,0,0
+469,1994,United States,1994-06-22,Group Stage,Matchday 2,Group A,USA,Colombia,,,2,1,,,,,USA,Normal Time,Rose Bowl,Pasadena,0,0
+470,1994,United States,1994-06-26,Group Stage,Matchday 2,Group A,USA,Romania,,,0,1,,,,,Romania,Normal Time,Rose Bowl,Pasadena,0,0
+471,1994,United States,1994-06-26,Group Stage,Matchday 2,Group A,Switzerland,Colombia,,,0,2,,,,,Colombia,Normal Time,Stanford Stadium,Stanford,0,0
+472,1994,United States,1994-06-19,Group Stage,Matchday 1,Group B,Cameroon,Sweden,,,2,2,,,,,Draw,Draw,Rose Bowl,Pasadena,0,0
+473,1994,United States,1994-06-20,Group Stage,Matchday 1,Group B,Brazil,Russia,,,2,0,,,,,Brazil,Normal Time,Stanford Stadium,Stanford,0,0
+474,1994,United States,1994-06-24,Group Stage,Matchday 2,Group B,Brazil,Cameroon,,,3,0,,,,,Brazil,Normal Time,Stanford Stadium,Stanford,0,0
+475,1994,United States,1994-06-24,Group Stage,Matchday 2,Group B,Sweden,Russia,,,3,1,,,,,Sweden,Normal Time,Pontiac Silverdome,Pontiac,0,0
+476,1994,United States,1994-06-28,Group Stage,Matchday 3,Group B,Russia,Cameroon,,,6,1,,,,,Russia,Normal Time,Stanford Stadium,Stanford,0,0
+477,1994,United States,1994-06-28,Group Stage,Matchday 3,Group B,Brazil,Sweden,,,1,1,,,,,Draw,Draw,Pontiac Silverdome,Pontiac,0,0
+478,1994,United States,1994-06-17,Group Stage,Matchday 1,Group C,Germany,Bolivia,,,1,0,,,,,Germany,Normal Time,Soldier Field,Chicago,0,0
+479,1994,United States,1994-06-17,Group Stage,Matchday 1,Group C,Spain,South Korea,,,2,2,,,,,Draw,Draw,Cotton Bowl,Dallas,0,0
+480,1994,United States,1994-06-21,Group Stage,Matchday 1,Group C,Germany,Spain,,,1,1,,,,,Draw,Draw,Soldier Field,Chicago,0,0
+481,1994,United States,1994-06-23,Group Stage,Matchday 2,Group C,South Korea,Bolivia,,,0,0,,,,,Draw,Draw,Foxboro Stadium,Foxborough,0,0
+482,1994,United States,1994-06-27,Group Stage,Matchday 3,Group C,Bolivia,Spain,,,1,3,,,,,Spain,Normal Time,Soldier Field,Chicago,0,0
+483,1994,United States,1994-06-27,Group Stage,Matchday 3,Group C,Germany,South Korea,,,3,2,,,,,Germany,Normal Time,Cotton Bowl,Dallas,0,0
+484,1994,United States,1994-06-21,Group Stage,Matchday 1,Group D,Argentina,Greece,,,4,0,,,,,Argentina,Normal Time,Foxboro Stadium,Foxborough,0,0
+485,1994,United States,1994-06-21,Group Stage,Matchday 1,Group D,Nigeria,Bulgaria,,,3,0,,,,,Nigeria,Normal Time,Cotton Bowl,Dallas,0,0
+486,1994,United States,1994-06-25,Group Stage,Matchday 2,Group D,Argentina,Nigeria,,,2,1,,,,,Argentina,Normal Time,Foxboro Stadium,Foxborough,0,0
+487,1994,United States,1994-06-26,Group Stage,Matchday 2,Group D,Greece,Bulgaria,,,0,4,,,,,Bulgaria,Normal Time,Soldier Field,Chicago,0,0
+488,1994,United States,1994-06-30,Group Stage,Matchday 3,Group D,Greece,Nigeria,,,0,2,,,,,Nigeria,Normal Time,Foxboro Stadium,Foxborough,0,0
+489,1994,United States,1994-06-30,Group Stage,Matchday 3,Group D,Argentina,Bulgaria,,,0,2,,,,,Bulgaria,Normal Time,Cotton Bowl,Dallas,0,0
+490,1994,United States,1994-06-18,Group Stage,Matchday 1,Group E,Italy,Ireland,,,0,1,,,,,Ireland,Normal Time,Giants Stadium,East Rutherford,0,0
+491,1994,United States,1994-06-19,Group Stage,Matchday 1,Group E,Norway,Mexico,,,1,0,,,,,Norway,Normal Time,RFK Stadium,Washington,0,0
+492,1994,United States,1994-06-23,Group Stage,Matchday 2,Group E,Italy,Norway,,,1,0,,,,,Italy,Normal Time,Giants Stadium,East Rutherford,0,0
+493,1994,United States,1994-06-24,Group Stage,Matchday 2,Group E,Mexico,Ireland,,,2,1,,,,,Mexico,Normal Time,Citrus Bowl,Orlando,0,0
+494,1994,United States,1994-06-28,Group Stage,Matchday 3,Group E,Ireland,Norway,,,0,0,,,,,Draw,Draw,Giants Stadium,East Rutherford,0,0
+495,1994,United States,1994-06-28,Group Stage,Matchday 3,Group E,Italy,Mexico,,,1,1,,,,,Draw,Draw,RFK Stadium,Washington,0,0
+496,1994,United States,1994-06-19,Group Stage,Matchday 1,Group F,Belgium,Morocco,,,1,0,,,,,Belgium,Normal Time,Citrus Bowl,Orlando,0,0
+497,1994,United States,1994-06-20,Group Stage,Matchday 1,Group F,Netherlands,Saudi Arabia,,,2,1,,,,,Netherlands,Normal Time,RFK Stadium,Washington,0,0
+498,1994,United States,1994-06-25,Group Stage,Matchday 2,Group F,Belgium,Netherlands,,,1,0,,,,,Belgium,Normal Time,Citrus Bowl,Orlando,0,0
+499,1994,United States,1994-06-25,Group Stage,Matchday 2,Group F,Saudi Arabia,Morocco,,,2,1,,,,,Saudi Arabia,Normal Time,Giants Stadium,East Rutherford,0,0
+500,1994,United States,1994-06-29,Group Stage,Matchday 3,Group F,Morocco,Netherlands,,,1,2,,,,,Netherlands,Normal Time,Citrus Bowl,Orlando,0,0
+501,1994,United States,1994-06-29,Group Stage,Matchday 3,Group F,Belgium,Saudi Arabia,,,0,1,,,,,Saudi Arabia,Normal Time,RFK Stadium,Washington,0,0
+502,1994,United States,1994-07-02,Round of 16,Round of 16,,Germany,Belgium,,,3,2,,,,,Germany,Normal Time,Soldier Field,Chicago,0,0
+503,1994,United States,1994-07-02,Round of 16,Round of 16,,Spain,Switzerland,,,3,0,,,,,Spain,Normal Time,RFK Stadium,Washington,0,0
+504,1994,United States,1994-07-03,Round of 16,Round of 16,,Saudi Arabia,Sweden,,,1,3,,,,,Sweden,Normal Time,Cotton Bowl,Dallas,0,0
+505,1994,United States,1994-07-03,Round of 16,Round of 16,,Romania,Argentina,,,3,2,,,,,Romania,Normal Time,Rose Bowl,Pasadena,0,0
+506,1994,United States,1994-07-04,Round of 16,Round of 16,,Netherlands,Ireland,,,2,0,,,,,Netherlands,Normal Time,Citrus Bowl,Orlando,0,0
+507,1994,United States,1994-07-04,Round of 16,Round of 16,,Brazil,USA,,,1,0,,,,,Brazil,Normal Time,Stanford Stadium,Stanford,0,0
+508,1994,United States,1994-07-05,Round of 16,Round of 16,,Nigeria,Italy,,,1,1,1,2,,,Italy,Extra Time,Foxboro Stadium,Foxborough,0,0
+509,1994,United States,1994-07-05,Round of 16,Round of 16,,Mexico,Bulgaria,,,1,1,1,1,1,3,Bulgaria,Penalties,Giants Stadium,East Rutherford,0,0
+510,1994,United States,1994-07-09,Quarter-final,Quarter-finals,,Italy,Spain,,,2,1,,,,,Italy,Normal Time,Foxboro Stadium,Foxborough,0,0
+511,1994,United States,1994-07-09,Quarter-final,Quarter-finals,,Netherlands,Brazil,,,2,3,,,,,Brazil,Normal Time,Cotton Bowl,Dallas,0,0
+512,1994,United States,1994-07-10,Quarter-final,Quarter-finals,,Bulgaria,Germany,,,2,1,,,,,Bulgaria,Normal Time,Giants Stadium,East Rutherford,0,0
+513,1994,United States,1994-07-10,Quarter-final,Quarter-finals,,Romania,Sweden,,,1,1,2,2,4,5,Sweden,Penalties,Stanford Stadium,Stanford,0,0
+514,1994,United States,1994-07-13,Semi-final,Semi-finals,,Bulgaria,Italy,,,1,2,,,,,Italy,Normal Time,Giants Stadium,East Rutherford,0,0
+515,1994,United States,1994-07-13,Semi-final,Semi-finals,,Sweden,Brazil,,,0,1,,,,,Brazil,Normal Time,Rose Bowl,Pasadena,0,0
+516,1994,United States,1994-07-16,Third-place match,Third-place match,,Sweden,Bulgaria,,,4,0,,,,,Sweden,Normal Time,Rose Bowl,Pasadena,0,0
+517,1994,United States,1994-07-17,Final,Final,,Brazil,Italy,,,0,0,0,0,3,2,Brazil,Penalties,Rose Bowl,Pasadena,0,0
+518,1998,France,1998-06-10,Group Stage,Matchday 1,Group A,Brazil,Scotland,,,2,1,,,,,Brazil,Normal Time,Stade de France,Saint-Denis,0,0
+519,1998,France,1998-06-10,Group Stage,Matchday 1,Group A,Morocco,Norway,,,2,2,,,,,Draw,Draw,Stade de la Mosson,Montpellier,0,0
+520,1998,France,1998-06-16,Group Stage,Matchday 2,Group A,Scotland,Norway,,,1,1,,,,,Draw,Draw,Parc Lescure,Bordeaux,0,0
+521,1998,France,1998-06-16,Group Stage,Matchday 2,Group A,Brazil,Morocco,,,3,0,,,,,Brazil,Normal Time,Stade de la Beaujoire,Nantes,0,0
+522,1998,France,1998-06-23,Group Stage,Matchday 3,Group A,Scotland,Morocco,,,0,3,,,,,Morocco,Normal Time,Stade Geoffroy-Guichard,Saint-Étienne,0,0
+523,1998,France,1998-06-23,Group Stage,Matchday 3,Group A,Brazil,Norway,,,1,2,,,,,Norway,Normal Time,Stade Vélodrome,Marseille,0,0
+524,1998,France,1998-06-11,Group Stage,Matchday 1,Group B,Cameroon,Austria,,,1,1,,,,,Draw,Draw,Stade de Toulouse,Toulouse,0,0
+525,1998,France,1998-06-11,Group Stage,Matchday 1,Group B,Italy,Chile,,,2,2,,,,,Draw,Draw,Parc Lescure,Bordeaux,0,0
+526,1998,France,1998-06-17,Group Stage,Matchday 2,Group B,Chile,Austria,,,1,1,,,,,Draw,Draw,Stade Geoffroy-Guichard,Saint-Étienne,0,0
+527,1998,France,1998-06-17,Group Stage,Matchday 2,Group B,Italy,Cameroon,,,3,0,,,,,Italy,Normal Time,Stade de la Mosson,Montpellier,0,0
+528,1998,France,1998-06-23,Group Stage,Matchday 3,Group B,Italy,Austria,,,2,1,,,,,Italy,Normal Time,Stade de France,Saint-Denis,0,0
+529,1998,France,1998-06-23,Group Stage,Matchday 3,Group B,Chile,Cameroon,,,1,1,,,,,Draw,Draw,Stade de la Beaujoire,Nantes,0,0
+530,1998,France,1998-06-12,Group Stage,Matchday 1,Group C,Saudi Arabia,Denmark,,,0,1,,,,,Denmark,Normal Time,Stade Félix Bollaert,Lens,0,0
+531,1998,France,1998-06-12,Group Stage,Matchday 1,Group C,France,South Africa,,,3,0,,,,,France,Normal Time,Stade Vélodrome,Marseille,0,0
+532,1998,France,1998-06-18,Group Stage,Matchday 2,Group C,France,Saudi Arabia,,,4,0,,,,,France,Normal Time,Stade de France,Saint-Denis,0,0
+533,1998,France,1998-06-18,Group Stage,Matchday 2,Group C,South Africa,Denmark,,,1,1,,,,,Draw,Draw,Stade de Toulouse,Toulouse,0,0
+534,1998,France,1998-06-24,Group Stage,Matchday 3,Group C,France,Denmark,,,2,1,,,,,France,Normal Time,Stade Gerland,Lyon,0,0
+535,1998,France,1998-06-24,Group Stage,Matchday 3,Group C,South Africa,Saudi Arabia,,,2,2,,,,,Draw,Draw,Parc Lescure,Bordeaux,0,0
+536,1998,France,1998-06-12,Group Stage,Matchday 1,Group D,Paraguay,Bulgaria,,,0,0,,,,,Draw,Draw,Stade de la Mosson,Montpellier,0,0
+537,1998,France,1998-06-13,Group Stage,Matchday 1,Group D,Spain,Nigeria,,,2,3,,,,,Nigeria,Normal Time,Stade de la Beaujoire,Nantes,0,0
+538,1998,France,1998-06-19,Group Stage,Matchday 2,Group D,Nigeria,Bulgaria,,,1,0,,,,,Nigeria,Normal Time,Parc des Princes,Paris,0,0
+539,1998,France,1998-06-19,Group Stage,Matchday 2,Group D,Spain,Paraguay,,,0,0,,,,,Draw,Draw,Stade Geoffroy-Guichard,Saint-Étienne,0,0
+540,1998,France,1998-06-24,Group Stage,Matchday 3,Group D,Spain,Bulgaria,,,6,1,,,,,Spain,Normal Time,Stade Félix Bollaert,Lens,0,0
+541,1998,France,1998-06-24,Group Stage,Matchday 3,Group D,Nigeria,Paraguay,,,1,3,,,,,Paraguay,Normal Time,Stade de Toulouse,Toulouse,0,0
+542,1998,France,1998-06-13,Group Stage,Matchday 1,Group E,Netherlands,Belgium,,,0,0,,,,,Draw,Draw,Stade de France,Saint-Denis,0,0
+543,1998,France,1998-06-13,Group Stage,Matchday 1,Group E,South Korea,Mexico,,,1,3,,,,,Mexico,Normal Time,Stade Gerland,Lyon,0,0
+544,1998,France,1998-06-20,Group Stage,Matchday 2,Group E,Netherlands,South Korea,,,5,0,,,,,Netherlands,Normal Time,Stade Vélodrome,Marseille,0,0
+545,1998,France,1998-06-20,Group Stage,Matchday 2,Group E,Belgium,Mexico,,,2,2,,,,,Draw,Draw,Parc Lescure,Bordeaux,0,0
+546,1998,France,1998-06-25,Group Stage,Matchday 3,Group E,Belgium,South Korea,,,1,1,,,,,Draw,Draw,Parc des Princes,Paris,0,0
+547,1998,France,1998-06-25,Group Stage,Matchday 3,Group E,Netherlands,Mexico,,,2,2,,,,,Draw,Draw,Stade Geoffroy-Guichard,Saint-Étienne,0,0
+548,1998,France,1998-06-14,Group Stage,Matchday 1,Group F,Yugoslavia,Iran,,,1,0,,,,,Yugoslavia,Normal Time,Stade Geoffroy-Guichard,Saint-Étienne,0,0
+549,1998,France,1998-06-15,Group Stage,Matchday 1,Group F,Germany,USA,,,2,0,,,,,Germany,Normal Time,Parc des Princes,Paris,0,0
+550,1998,France,1998-06-21,Group Stage,Matchday 2,Group F,Germany,Yugoslavia,,,2,2,,,,,Draw,Draw,Stade Félix Bollaert,Lens,0,0
+551,1998,France,1998-06-21,Group Stage,Matchday 2,Group F,USA,Iran,,,1,2,,,,,Iran,Normal Time,Stade Gerland,Lyon,0,0
+552,1998,France,1998-06-25,Group Stage,Matchday 3,Group F,Germany,Iran,,,2,0,,,,,Germany,Normal Time,Stade de la Mosson,Montpellier,0,0
+553,1998,France,1998-06-25,Group Stage,Matchday 3,Group F,USA,Yugoslavia,,,0,1,,,,,Yugoslavia,Normal Time,Stade de la Beaujoire,Nantes,0,0
+554,1998,France,1998-06-15,Group Stage,Matchday 1,Group G,Romania,Colombia,,,1,0,,,,,Romania,Normal Time,Stade Gerland,Lyon,0,0
+555,1998,France,1998-06-15,Group Stage,Matchday 1,Group G,England,Tunisia,,,2,0,,,,,England,Normal Time,Stade Vélodrome,Marseille,0,0
+556,1998,France,1998-06-22,Group Stage,Matchday 2,Group G,Colombia,Tunisia,,,1,0,,,,,Colombia,Normal Time,Stade de la Mosson,Montpellier,0,0
+557,1998,France,1998-06-22,Group Stage,Matchday 2,Group G,Romania,England,,,2,1,,,,,Romania,Normal Time,Stade de Toulouse,Toulouse,0,0
+558,1998,France,1998-06-26,Group Stage,Matchday 3,Group G,Romania,Tunisia,,,1,1,,,,,Draw,Draw,Stade de France,Saint-Denis,0,0
+559,1998,France,1998-06-26,Group Stage,Matchday 3,Group G,Colombia,England,,,0,2,,,,,England,Normal Time,Stade Félix Bollaert,Lens,0,0
+560,1998,France,1998-06-14,Group Stage,Matchday 1,Group H,Jamaica,Croatia,,,1,3,,,,,Croatia,Normal Time,Stade Félix Bollaert,Lens,0,0
+561,1998,France,1998-06-14,Group Stage,Matchday 1,Group H,Argentina,Japan,,,1,0,,,,,Argentina,Normal Time,Stade de Toulouse,Toulouse,0,0
+562,1998,France,1998-06-20,Group Stage,Matchday 2,Group H,Japan,Croatia,,,0,1,,,,,Croatia,Normal Time,Stade de la Beaujoire,Nantes,0,0
+563,1998,France,1998-06-21,Group Stage,Matchday 2,Group H,Argentina,Jamaica,,,5,0,,,,,Argentina,Normal Time,Parc des Princes,Paris,0,0
+564,1998,France,1998-06-26,Group Stage,Matchday 3,Group H,Japan,Jamaica,,,1,2,,,,,Jamaica,Normal Time,Stade Gerland,Lyon,0,0
+565,1998,France,1998-06-26,Group Stage,Matchday 3,Group H,Argentina,Croatia,,,1,0,,,,,Argentina,Normal Time,Parc Lescure,Bordeaux,0,0
+566,1998,France,1998-06-27,Round of 16,Round of 16,,Brazil,Chile,,,4,1,,,,,Brazil,Normal Time,Parc des Princes,Paris,0,0
+567,1998,France,1998-06-27,Round of 16,Round of 16,,Italy,Norway,,,1,0,,,,,Italy,Normal Time,Stade Vélodrome,Marseille,0,0
+568,1998,France,1998-06-28,Round of 16,Round of 16,,Nigeria,Denmark,,,1,4,,,,,Denmark,Normal Time,Stade de France,Saint-Denis,0,0
+569,1998,France,1998-06-28,Round of 16,Round of 16,,France,Paraguay,,,0,0,1,0,,,France,Extra Time,Stade Félix Bollaert,Lens,0,0
+570,1998,France,1998-06-29,Round of 16,Round of 16,,Germany,Mexico,,,2,1,,,,,Germany,Normal Time,Stade de la Mosson,Montpellier,0,0
+571,1998,France,1998-06-29,Round of 16,Round of 16,,Netherlands,Yugoslavia,,,2,1,,,,,Netherlands,Normal Time,Stade de Toulouse,Toulouse,0,0
+572,1998,France,1998-06-30,Round of 16,Round of 16,,Argentina,England,,,2,2,2,2,4,3,Argentina,Penalties,Stade Geoffroy-Guichard,Saint-Étienne,0,0
+573,1998,France,1998-06-30,Round of 16,Round of 16,,Romania,Croatia,,,0,1,,,,,Croatia,Normal Time,Parc Lescure,Bordeaux,0,0
+574,1998,France,1998-07-03,Quarter-final,Quarter-finals,,Italy,France,,,0,0,0,0,3,4,France,Penalties,Stade de France,Saint-Denis,0,0
+575,1998,France,1998-07-03,Quarter-final,Quarter-finals,,Brazil,Denmark,,,3,2,,,,,Brazil,Normal Time,Stade de la Beaujoire,Nantes,0,0
+576,1998,France,1998-07-04,Quarter-final,Quarter-finals,,Germany,Croatia,,,0,3,,,,,Croatia,Normal Time,Stade Gerland,Lyon,0,0
+577,1998,France,1998-07-04,Quarter-final,Quarter-finals,,Netherlands,Argentina,,,2,1,,,,,Netherlands,Normal Time,Stade Vélodrome,Marseille,0,0
+578,1998,France,1998-07-07,Semi-final,Semi-finals,,Brazil,Netherlands,,,1,1,1,1,4,2,Brazil,Penalties,Stade Vélodrome,Marseille,0,0
+579,1998,France,1998-07-08,Semi-final,Semi-finals,,France,Croatia,,,2,1,,,,,France,Normal Time,Stade de France,Saint-Denis,0,0
+580,1998,France,1998-07-11,Third Place Play-off,Third place match,,Netherlands,Croatia,,,1,2,,,,,Croatia,Normal Time,Parc des Princes,Paris,0,0
+581,1998,France,1998-07-12,Final,Final,,Brazil,France,,,0,3,,,,,France,Normal Time,Stade de France,Saint-Denis,0,0
+582,2002,South Korea / Japan,2002-05-31,Group Stage,Matchday 1,Group A,France,Senegal,,,0,1,,,,,Senegal,Normal Time,Seoul World Cup Stadium,Seoul,0,0
+583,2002,South Korea / Japan,2002-06-01,Group Stage,Matchday 1,Group A,Uruguay,Denmark,,,1,2,,,,,Denmark,Normal Time,Munsu Cup Stadium,Ulsan,0,0
+584,2002,South Korea / Japan,2002-06-06,Group Stage,Matchday 2,Group A,France,Uruguay,,,0,0,,,,,Draw,Draw,Asiad Main Stadium,Busan,0,0
+585,2002,South Korea / Japan,2002-06-06,Group Stage,Matchday 2,Group A,Denmark,Senegal,,,1,1,,,,,Draw,Draw,Daegu World Cup Stadium,Daegu,0,0
+586,2002,South Korea / Japan,2002-06-11,Group Stage,Matchday 3,Group A,Denmark,France,,,2,0,,,,,Denmark,Normal Time,Incheon Munhak Stadium,Incheon,0,0
+587,2002,South Korea / Japan,2002-06-11,Group Stage,Matchday 3,Group A,Senegal,Uruguay,,,3,3,,,,,Draw,Draw,Suwon World Cup Stadium,Suwon,0,0
+588,2002,South Korea / Japan,2002-06-02,Group Stage,Matchday 1,Group B,Paraguay,South Africa,,,2,2,,,,,Draw,Draw,Asiad Main Stadium,Busan,0,0
+589,2002,South Korea / Japan,2002-06-02,Group Stage,Matchday 1,Group B,Spain,Slovenia,,,3,1,,,,,Spain,Normal Time,Gwangju World Cup Stadium,Gwangju,0,0
+590,2002,South Korea / Japan,2002-06-07,Group Stage,Matchday 2,Group B,Spain,Paraguay,,,3,1,,,,,Spain,Normal Time,Jeonju World Cup Stadium,Jeonju,0,0
+591,2002,South Korea / Japan,2002-06-08,Group Stage,Matchday 2,Group B,South Africa,Slovenia,,,1,0,,,,,South Africa,Normal Time,Daegu World Cup Stadium,Daegu,0,0
+592,2002,South Korea / Japan,2002-06-12,Group Stage,Matchday 3,Group B,South Africa,Spain,,,2,3,,,,,Spain,Normal Time,Daejeon World Cup Stadium,Daejeon,0,0
+593,2002,South Korea / Japan,2002-06-12,Group Stage,Matchday 3,Group B,Slovenia,Paraguay,,,1,3,,,,,Paraguay,Normal Time,Jeju World Cup Stadium,Jeju,0,0
+594,2002,South Korea / Japan,2002-06-03,Group Stage,Matchday 1,Group C,Brazil,Turkey,,,2,1,,,,,Brazil,Normal Time,Munsu Cup Stadium,Ulsan,0,0
+595,2002,South Korea / Japan,2002-06-04,Group Stage,Matchday 1,Group C,China,Costa Rica,,,0,2,,,,,Costa Rica,Normal Time,Gwangju World Cup Stadium,Gwangju,0,0
+596,2002,South Korea / Japan,2002-06-08,Group Stage,Matchday 2,Group C,Brazil,China,,,4,0,,,,,Brazil,Normal Time,Jeju World Cup Stadium,Jeju,0,0
+597,2002,South Korea / Japan,2002-06-09,Group Stage,Matchday 2,Group C,Costa Rica,Turkey,,,1,1,,,,,Draw,Draw,Incheon Munhak Stadium,Incheon,0,0
+598,2002,South Korea / Japan,2002-06-13,Group Stage,Matchday 3,Group C,Costa Rica,Brazil,,,2,5,,,,,Brazil,Normal Time,Suwon World Cup Stadium,Suwon,0,0
+599,2002,South Korea / Japan,2002-06-13,Group Stage,Matchday 3,Group C,Turkey,China,,,3,0,,,,,Turkey,Normal Time,Seoul World Cup Stadium,Seoul,0,0
+600,2002,South Korea / Japan,2002-06-04,Group Stage,Matchday 1,Group D,South Korea,Poland,,,2,0,,,,,South Korea,Normal Time,Asiad Main Stadium,Busan,0,0
+601,2002,South Korea / Japan,2002-06-05,Group Stage,Matchday 1,Group D,USA,Portugal,,,3,2,,,,,USA,Normal Time,Suwon World Cup Stadium,Suwon,0,0
+602,2002,South Korea / Japan,2002-06-10,Group Stage,Matchday 2,Group D,South Korea,USA,,,1,1,,,,,Draw,Draw,Daegu World Cup Stadium,Daegu,0,0
+603,2002,South Korea / Japan,2002-06-10,Group Stage,Matchday 2,Group D,Portugal,Poland,,,4,0,,,,,Portugal,Normal Time,Jeonju World Cup Stadium,Jeonju,0,0
+604,2002,South Korea / Japan,2002-06-14,Group Stage,Matchday 3,Group D,Portugal,South Korea,,,0,1,,,,,South Korea,Normal Time,Incheon Munhak Stadium,Incheon,0,0
+605,2002,South Korea / Japan,2002-06-14,Group Stage,Matchday 3,Group D,Poland,USA,,,3,1,,,,,Poland,Normal Time,Daejeon World Cup Stadium,Daejeon,0,0
+606,2002,South Korea / Japan,2002-06-01,Group Stage,Matchday 1,Group E,Ireland,Cameroon,,,1,1,,,,,Draw,Draw,Niigata Stadium,Niigata,0,0
+607,2002,South Korea / Japan,2002-06-01,Group Stage,Matchday 1,Group E,Germany,Saudi Arabia,,,8,0,,,,,Germany,Normal Time,Sapporo Dome,Sapporo,0,0
+608,2002,South Korea / Japan,2002-06-05,Group Stage,Matchday 1,Group E,Germany,Ireland,,,1,1,,,,,Draw,Draw,Kashima Soccer Stadium,Ibaraki,0,0
+609,2002,South Korea / Japan,2002-06-06,Group Stage,Matchday 2,Group E,Cameroon,Saudi Arabia,,,1,0,,,,,Cameroon,Normal Time,Saitama Stadium,Saitama,0,0
+610,2002,South Korea / Japan,2002-06-11,Group Stage,Matchday 3,Group E,Cameroon,Germany,,,0,2,,,,,Germany,Normal Time,Shizuoka Stadium,Shizuoka,0,0
+611,2002,South Korea / Japan,2002-06-11,Group Stage,Matchday 3,Group E,Saudi Arabia,Ireland,,,0,3,,,,,Ireland,Normal Time,International Stadium Yokohama,Yokohama,0,0
+612,2002,South Korea / Japan,2002-06-02,Group Stage,Matchday 1,Group F,England,Sweden,,,1,1,,,,,Draw,Draw,Saitama Stadium,Saitama,0,0
+613,2002,South Korea / Japan,2002-06-02,Group Stage,Matchday 1,Group F,Argentina,Nigeria,,,1,0,,,,,Argentina,Normal Time,Kashima Soccer Stadium,Ibaraki,0,0
+614,2002,South Korea / Japan,2002-06-07,Group Stage,Matchday 2,Group F,Sweden,Nigeria,,,2,1,,,,,Sweden,Normal Time,Kobe Wing Stadium,Kobe,0,0
+615,2002,South Korea / Japan,2002-06-07,Group Stage,Matchday 2,Group F,Argentina,England,,,0,1,,,,,England,Normal Time,Sapporo Dome,Sapporo,0,0
+616,2002,South Korea / Japan,2002-06-12,Group Stage,Matchday 3,Group F,Sweden,Argentina,,,1,1,,,,,Draw,Draw,Miyagi Stadium,Miyagi,0,0
+617,2002,South Korea / Japan,2002-06-12,Group Stage,Matchday 3,Group F,Nigeria,England,,,0,0,,,,,Draw,Draw,Nagai Stadium,Osaka,0,0
+618,2002,South Korea / Japan,2002-06-03,Group Stage,Matchday 1,Group G,Croatia,Mexico,,,0,1,,,,,Mexico,Normal Time,Niigata Stadium,Niigata,0,0
+619,2002,South Korea / Japan,2002-06-03,Group Stage,Matchday 1,Group G,Italy,Ecuador,,,2,0,,,,,Italy,Normal Time,Sapporo Dome,Sapporo,0,0
+620,2002,South Korea / Japan,2002-06-08,Group Stage,Matchday 2,Group G,Italy,Croatia,,,1,2,,,,,Croatia,Normal Time,Kashima Soccer Stadium,Ibaraki,0,0
+621,2002,South Korea / Japan,2002-06-09,Group Stage,Matchday 2,Group G,Mexico,Ecuador,,,2,1,,,,,Mexico,Normal Time,Miyagi Stadium,Miyagi,0,0
+622,2002,South Korea / Japan,2002-06-13,Group Stage,Matchday 3,Group G,Mexico,Italy,,,1,1,,,,,Draw,Draw,Ōita Stadium,Ōita,0,0
+623,2002,South Korea / Japan,2002-06-13,Group Stage,Matchday 3,Group G,Ecuador,Croatia,,,1,0,,,,,Ecuador,Normal Time,International Stadium Yokohama,Yokohama,0,0
+624,2002,South Korea / Japan,2002-06-04,Group Stage,Matchday 1,Group H,Japan,Belgium,,,2,2,,,,,Draw,Draw,Saitama Stadium,Saitama,0,0
+625,2002,South Korea / Japan,2002-06-05,Group Stage,Matchday 1,Group H,Russia,Tunisia,,,2,0,,,,,Russia,Normal Time,Kobe Wing Stadium,Kobe,0,0
+626,2002,South Korea / Japan,2002-06-09,Group Stage,Matchday 2,Group H,Japan,Russia,,,1,0,,,,,Japan,Normal Time,International Stadium Yokohama,Yokohama,0,0
+627,2002,South Korea / Japan,2002-06-10,Group Stage,Matchday 2,Group H,Tunisia,Belgium,,,1,1,,,,,Draw,Draw,Ōita Stadium,Ōita,0,0
+628,2002,South Korea / Japan,2002-06-14,Group Stage,Matchday 3,Group H,Tunisia,Japan,,,0,2,,,,,Japan,Normal Time,Nagai Stadium,Osaka,0,0
+629,2002,South Korea / Japan,2002-06-14,Group Stage,Matchday 3,Group H,Belgium,Russia,,,3,2,,,,,Belgium,Normal Time,Shizuoka Stadium,Shizuoka,0,0
+630,2002,South Korea / Japan,2002-06-15,Round of 16,Round of 16,,Germany,Paraguay,,,1,0,,,,,Germany,Normal Time,Jeju World Cup Stadium,Jeju,0,0
+631,2002,South Korea / Japan,2002-06-15,Round of 16,Round of 16,,Denmark,England,,,0,3,,,,,England,Normal Time,Niigata Stadium,Niigata,0,0
+632,2002,South Korea / Japan,2002-06-16,Round of 16,Round of 16,,Sweden,Senegal,,,1,1,1,2,,,Senegal,Extra Time,Ōita Stadium,Ōita,0,0
+633,2002,South Korea / Japan,2002-06-16,Round of 16,Round of 16,,Spain,Ireland,,,1,1,1,1,3,2,Spain,Penalties,Suwon World Cup Stadium,Suwon,0,0
+634,2002,South Korea / Japan,2002-06-17,Round of 16,Round of 16,,Mexico,USA,,,0,2,,,,,USA,Normal Time,Jeonju World Cup Stadium,Jeonju,0,0
+635,2002,South Korea / Japan,2002-06-17,Round of 16,Round of 16,,Brazil,Belgium,,,2,0,,,,,Brazil,Normal Time,Kobe Wing Stadium,Kobe,0,0
+636,2002,South Korea / Japan,2002-06-18,Round of 16,Round of 16,,Japan,Turkey,,,0,1,,,,,Turkey,Normal Time,Miyagi Stadium,Miyagi,0,0
+637,2002,South Korea / Japan,2002-06-18,Round of 16,Round of 16,,South Korea,Italy,,,1,1,2,1,,,South Korea,Extra Time,Daejeon World Cup Stadium,Daejeon,0,0
+638,2002,South Korea / Japan,2002-06-21,Quarter-final,Quarter-finals,,England,Brazil,,,1,2,,,,,Brazil,Normal Time,Shizuoka Stadium,Shizuoka,0,0
+639,2002,South Korea / Japan,2002-06-21,Quarter-final,Quarter-finals,,Germany,USA,,,1,0,,,,,Germany,Normal Time,Munsu Cup Stadium,Ulsan,0,0
+640,2002,South Korea / Japan,2002-06-22,Quarter-final,Quarter-finals,,Spain,South Korea,,,0,0,0,0,3,5,South Korea,Penalties,Gwangju World Cup Stadium,Gwangju,0,0
+641,2002,South Korea / Japan,2002-06-22,Quarter-final,Quarter-finals,,Senegal,Turkey,,,0,0,0,1,,,Turkey,Extra Time,Nagai Stadium,Osaka,0,0
+642,2002,South Korea / Japan,2002-06-25,Semi-final,Semi-finals,,Germany,South Korea,,,1,0,,,,,Germany,Normal Time,Seoul World Cup Stadium,Seoul,0,0
+643,2002,South Korea / Japan,2002-06-26,Semi-final,Semi-finals,,Brazil,Turkey,,,1,0,,,,,Brazil,Normal Time,Saitama Stadium,Saitama,0,0
+644,2002,South Korea / Japan,2002-06-29,Third Place Play-off,Third place play-off,,South Korea,Turkey,,,2,3,,,,,Turkey,Normal Time,Daegu World Cup Stadium,Daegu,0,0
+645,2002,South Korea / Japan,2002-06-30,Final,Final,,Germany,Brazil,,,0,2,,,,,Brazil,Normal Time,International Stadium Yokohama,Yokohama,0,0
+646,2006,Germany,2006-06-09,Group Stage,Matchday 1,Group A,Germany,Costa Rica,2,1,4,2,,,,,Germany,Normal Time,Allianz Arena,München,0,0
+647,2006,Germany,2006-06-09,Group Stage,Matchday 1,Group A,Poland,Ecuador,0,1,0,2,,,,,Ecuador,Normal Time,Veltins-Arena,Gelsenkirchen,0,0
+648,2006,Germany,2006-06-14,Group Stage,Matchday 6,Group A,Germany,Poland,0,0,1,0,,,,,Germany,Normal Time,Signal Iduna Park,Dortmund,0,0
+649,2006,Germany,2006-06-15,Group Stage,Matchday 7,Group A,Ecuador,Costa Rica,1,0,3,0,,,,,Ecuador,Normal Time,AOL Arena,Hamburg,0,0
+650,2006,Germany,2006-06-20,Group Stage,Matchday 12,Group A,Ecuador,Germany,0,2,0,3,,,,,Germany,Normal Time,Olympiastadion,Berlin,0,0
+651,2006,Germany,2006-06-20,Group Stage,Matchday 12,Group A,Costa Rica,Poland,1,1,1,2,,,,,Poland,Normal Time,AWD-Arena,Hannover,0,0
+652,2006,Germany,2006-06-10,Group Stage,Matchday 2,Group B,England,Paraguay,1,0,1,0,,,,,England,Normal Time,Commerzbank-Arena,Frankfurt,0,0
+653,2006,Germany,2006-06-10,Group Stage,Matchday 2,Group B,Trinidad and Tobago,Sweden,,,0,0,,,,,Draw,Draw,Signal Iduna Park,Dortmund,0,0
+654,2006,Germany,2006-06-15,Group Stage,Matchday 7,Group B,England,Trinidad and Tobago,0,0,2,0,,,,,England,Normal Time,Frankenstadion,Nürnberg,0,0
+655,2006,Germany,2006-06-15,Group Stage,Matchday 7,Group B,Sweden,Paraguay,0,0,1,0,,,,,Sweden,Normal Time,Olympiastadion,Berlin,0,0
+656,2006,Germany,2006-06-20,Group Stage,Matchday 12,Group B,Sweden,England,0,1,2,2,,,,,Draw,Draw,RheinEnergieStadion,Köln,0,0
+657,2006,Germany,2006-06-20,Group Stage,Matchday 12,Group B,Paraguay,Trinidad and Tobago,1,0,2,0,,,,,Paraguay,Normal Time,Fritz-Walter-Stadion,Kaiserslautern,0,0
+658,2006,Germany,2006-06-10,Group Stage,Matchday 2,Group C,Argentina,Côte d'Ivoire,2,0,2,1,,,,,Argentina,Normal Time,AOL Arena,Hamburg,0,0
+659,2006,Germany,2006-06-11,Group Stage,Matchday 3,Group C,Serbia and Montenegro,Netherlands,0,1,0,1,,,,,Netherlands,Normal Time,Zentralstadion,Leipzig,0,0
+660,2006,Germany,2006-06-16,Group Stage,Matchday 8,Group C,Argentina,Serbia and Montenegro,3,0,6,0,,,,,Argentina,Normal Time,Veltins-Arena,Gelsenkirchen,0,0
+661,2006,Germany,2006-06-16,Group Stage,Matchday 8,Group C,Netherlands,Côte d'Ivoire,2,1,2,1,,,,,Netherlands,Normal Time,Gottlieb-Daimler-Stadion,Stuttgart,0,0
+662,2006,Germany,2006-06-21,Group Stage,Matchday 13,Group C,Netherlands,Argentina,,,0,0,,,,,Draw,Draw,Commerzbank-Arena,Frankfurt,0,0
+663,2006,Germany,2006-06-21,Group Stage,Matchday 13,Group C,Côte d'Ivoire,Serbia and Montenegro,1,2,3,2,,,,,Côte d'Ivoire,Normal Time,Allianz Arena,München,0,0
+664,2006,Germany,2006-06-11,Group Stage,Matchday 3,Group D,Mexico,Iran,1,1,3,1,,,,,Mexico,Normal Time,Frankenstadion,Nürnberg,0,0
+665,2006,Germany,2006-06-11,Group Stage,Matchday 3,Group D,Angola,Portugal,0,1,0,1,,,,,Portugal,Normal Time,RheinEnergieStadion,Köln,0,0
+666,2006,Germany,2006-06-16,Group Stage,Matchday 8,Group D,Mexico,Angola,,,0,0,,,,,Draw,Draw,AWD-Arena,Hannover,0,0
+667,2006,Germany,2006-06-17,Group Stage,Matchday 9,Group D,Portugal,Iran,0,0,2,0,,,,,Portugal,Normal Time,Commerzbank-Arena,Frankfurt,0,0
+668,2006,Germany,2006-06-21,Group Stage,Matchday 13,Group D,Portugal,Mexico,2,1,2,1,,,,,Portugal,Normal Time,Veltins-Arena,Gelsenkirchen,0,0
+669,2006,Germany,2006-06-21,Group Stage,Matchday 13,Group D,Iran,Angola,0,0,1,1,,,,,Draw,Draw,Zentralstadion,Leipzig,0,0
+670,2006,Germany,2006-06-12,Group Stage,Matchday 4,Group E,Italy,Ghana,1,0,2,0,,,,,Italy,Normal Time,AWD-Arena,Hannover,0,0
+671,2006,Germany,2006-06-12,Group Stage,Matchday 4,Group E,USA,Czech Republic,0,2,0,3,,,,,Czech Republic,Normal Time,Veltins-Arena,Gelsenkirchen,0,0
+672,2006,Germany,2006-06-17,Group Stage,Matchday 9,Group E,Italy,USA,1,1,1,1,,,,,Draw,Draw,Fritz-Walter-Stadion,Kaiserslautern,0,0
+673,2006,Germany,2006-06-17,Group Stage,Matchday 9,Group E,Czech Republic,Ghana,0,1,0,2,,,,,Ghana,Normal Time,RheinEnergieStadion,Köln,0,0
+674,2006,Germany,2006-06-22,Group Stage,Matchday 14,Group E,Czech Republic,Italy,0,1,0,2,,,,,Italy,Normal Time,AOL Arena,Hamburg,0,0
+675,2006,Germany,2006-06-22,Group Stage,Matchday 14,Group E,Ghana,USA,2,1,2,1,,,,,Ghana,Normal Time,Frankenstadion,Nürnberg,0,0
+676,2006,Germany,2006-06-13,Group Stage,Matchday 5,Group F,Brazil,Croatia,1,0,1,0,,,,,Brazil,Normal Time,Olympiastadion,Berlin,0,0
+677,2006,Germany,2006-06-12,Group Stage,Matchday 4,Group F,Australia,Japan,0,1,3,1,,,,,Australia,Normal Time,Fritz-Walter-Stadion,Kaiserslautern,0,0
+678,2006,Germany,2006-06-18,Group Stage,Matchday 10,Group F,Brazil,Australia,0,0,2,0,,,,,Brazil,Normal Time,Allianz Arena,München,0,0
+679,2006,Germany,2006-06-18,Group Stage,Matchday 10,Group F,Japan,Croatia,,,0,0,,,,,Draw,Draw,Frankenstadion,Nürnberg,0,0
+680,2006,Germany,2006-06-22,Group Stage,Matchday 14,Group F,Japan,Brazil,1,1,1,4,,,,,Brazil,Normal Time,Signal Iduna Park,Dortmund,0,0
+681,2006,Germany,2006-06-22,Group Stage,Matchday 14,Group F,Croatia,Australia,1,1,2,2,,,,,Draw,Draw,Gottlieb-Daimler-Stadion,Stuttgart,0,0
+682,2006,Germany,2006-06-13,Group Stage,Matchday 5,Group G,France,Switzerland,,,0,0,,,,,Draw,Draw,Gottlieb-Daimler-Stadion,Stuttgart,0,0
+683,2006,Germany,2006-06-13,Group Stage,Matchday 5,Group G,South Korea,Togo,0,1,2,1,,,,,South Korea,Normal Time,Commerzbank-Arena,Frankfurt,0,0
+684,2006,Germany,2006-06-18,Group Stage,Matchday 10,Group G,France,South Korea,1,0,1,1,,,,,Draw,Draw,Zentralstadion,Leipzig,0,0
+685,2006,Germany,2006-06-19,Group Stage,Matchday 11,Group G,Togo,Switzerland,0,1,0,2,,,,,Switzerland,Normal Time,Signal Iduna Park,Dortmund,0,0
+686,2006,Germany,2006-06-23,Group Stage,Matchday 15,Group G,Togo,France,0,0,0,2,,,,,France,Normal Time,RheinEnergieStadion,Köln,0,0
+687,2006,Germany,2006-06-23,Group Stage,Matchday 15,Group G,Switzerland,South Korea,1,0,2,0,,,,,Switzerland,Normal Time,AWD-Arena,Hannover,0,0
+688,2006,Germany,2006-06-14,Group Stage,Matchday 6,Group H,Spain,Ukraine,2,0,4,0,,,,,Spain,Normal Time,Zentralstadion,Leipzig,0,0
+689,2006,Germany,2006-06-14,Group Stage,Matchday 6,Group H,Tunisia,Saudi Arabia,1,0,2,2,,,,,Draw,Draw,Allianz Arena,München,0,0
+690,2006,Germany,2006-06-19,Group Stage,Matchday 11,Group H,Spain,Tunisia,0,1,3,1,,,,,Spain,Normal Time,Gottlieb-Daimler-Stadion,Stuttgart,0,0
+691,2006,Germany,2006-06-19,Group Stage,Matchday 11,Group H,Saudi Arabia,Ukraine,0,2,0,4,,,,,Ukraine,Normal Time,AOL Arena,Hamburg,0,0
+692,2006,Germany,2006-06-23,Group Stage,Matchday 15,Group H,Saudi Arabia,Spain,0,1,0,1,,,,,Spain,Normal Time,Fritz-Walter-Stadion,Kaiserslautern,0,0
+693,2006,Germany,2006-06-23,Group Stage,Matchday 15,Group H,Ukraine,Tunisia,0,0,1,0,,,,,Ukraine,Normal Time,Olympiastadion,Berlin,0,0
+694,2006,Germany,2006-06-24,Round of 16,Round of 16,,Germany,Sweden,2,0,2,0,,,,,Germany,Normal Time,Allianz Arena,München,0,0
+695,2006,Germany,2006-06-24,Round of 16,Round of 16,,Argentina,Mexico,1,1,1,1,2,1,,,Argentina,Extra Time,Zentralstadion,Leipzig,0,0
+696,2006,Germany,2006-06-25,Round of 16,Round of 16,,England,Ecuador,0,0,1,0,,,,,England,Normal Time,Gottlieb-Daimler-Stadion,Stuttgart,0,0
+697,2006,Germany,2006-06-25,Round of 16,Round of 16,,Portugal,Netherlands,1,0,1,0,,,,,Portugal,Normal Time,Frankenstadion,Nürnberg,0,0
+698,2006,Germany,2006-06-26,Round of 16,Round of 16,,Italy,Australia,0,0,1,0,,,,,Italy,Normal Time,Fritz-Walter-Stadion,Kaiserslautern,0,0
+699,2006,Germany,2006-06-26,Round of 16,Round of 16,,Switzerland,Ukraine,,,0,0,0,0,0,3,Ukraine,Penalties,RheinEnergieStadion,Köln,0,0
+700,2006,Germany,2006-06-27,Round of 16,Round of 16,,Brazil,Ghana,2,0,3,0,,,,,Brazil,Normal Time,Signal Iduna Park,Dortmund,0,0
+701,2006,Germany,2006-06-27,Round of 16,Round of 16,,Spain,France,1,1,1,3,,,,,France,Normal Time,AWD-Arena,Hannover,0,0
+702,2006,Germany,2006-06-30,Quarter-final,Quarterfinals,,Germany,Argentina,0,0,1,1,1,1,4,2,Germany,Penalties,Olympiastadion,Berlin,0,0
+703,2006,Germany,2006-06-30,Quarter-final,Quarterfinals,,Italy,Ukraine,1,0,3,0,,,,,Italy,Normal Time,AOL Arena,Hamburg,0,0
+704,2006,Germany,2006-07-01,Quarter-final,Quarterfinals,,England,Portugal,,,0,0,0,0,1,3,Portugal,Penalties,Veltins-Arena,Gelsenkirchen,0,0
+705,2006,Germany,2006-07-01,Quarter-final,Quarterfinals,,Brazil,France,0,0,0,1,,,,,France,Normal Time,Commerzbank-Arena,Frankfurt,0,0
+706,2006,Germany,2006-07-04,Semi-final,Semifinals,,Germany,Italy,,,0,0,0,2,,,Italy,Extra Time,Signal Iduna Park,Dortmund,0,2
+707,2006,Germany,2006-07-05,Semi-final,Semifinals,,Portugal,France,0,1,0,1,,,,,France,Normal Time,Allianz Arena,München,0,1
+708,2006,Germany,2006-07-08,Third-place play-off,Third-place play-off,,Germany,Portugal,0,0,3,1,,,,,Germany,Normal Time,Gottlieb-Daimler-Stadion,Stuttgart,2,1
+709,2006,Germany,2006-07-09,Final,Final,,Italy,France,1,1,1,1,1,1,5,3,Italy,Penalties,Olympiastadion,Berlin,1,1
+710,2010,South Africa,2010-06-11,Group Stage,Matchday 1,Group A,South Africa,Mexico,,,1,1,,,,,Draw,Draw,Soccer City,Johannesburg,0,0
+711,2010,South Africa,2010-06-11,Group Stage,Matchday 1,Group A,Uruguay,France,,,0,0,,,,,Draw,Draw,Cape Town Stadium,Cape Town,0,0
+712,2010,South Africa,2010-06-16,Group Stage,Matchday 6,Group A,South Africa,Uruguay,,,0,3,,,,,Uruguay,Normal Time,Loftus Versfeld Stadium,Pretoria,0,0
+713,2010,South Africa,2010-06-17,Group Stage,Matchday 7,Group A,France,Mexico,,,0,2,,,,,Mexico,Normal Time,Peter Mokaba Stadium,Polokwane,0,0
+714,2010,South Africa,2010-06-22,Group Stage,Matchday 12,Group A,Mexico,Uruguay,,,0,1,,,,,Uruguay,Normal Time,Royal Bafokeng Stadium,Rustenburg,0,0
+715,2010,South Africa,2010-06-22,Group Stage,Matchday 12,Group A,France,South Africa,,,1,2,,,,,South Africa,Normal Time,Free State Stadium,Bloemfontein,0,0
+716,2010,South Africa,2010-06-12,Group Stage,Matchday 2,Group B,South Korea,Greece,,,2,0,,,,,South Korea,Normal Time,Nelson Mandela Bay Stadium,Port Elizabeth,0,0
+717,2010,South Africa,2010-06-12,Group Stage,Matchday 2,Group B,Argentina,Nigeria,,,1,0,,,,,Argentina,Normal Time,Ellis Park Stadium,Johannesburg,0,0
+718,2010,South Africa,2010-06-17,Group Stage,Matchday 7,Group B,Argentina,South Korea,,,4,1,,,,,Argentina,Normal Time,Soccer City,Johannesburg,0,0
+719,2010,South Africa,2010-06-17,Group Stage,Matchday 7,Group B,Greece,Nigeria,,,2,1,,,,,Greece,Normal Time,Free State Stadium,Bloemfontein,0,0
+720,2010,South Africa,2010-06-22,Group Stage,Matchday 12,Group B,Nigeria,South Korea,,,2,2,,,,,Draw,Draw,Moses Mabhida Stadium,Durban,0,0
+721,2010,South Africa,2010-06-22,Group Stage,Matchday 12,Group B,Greece,Argentina,,,0,2,,,,,Argentina,Normal Time,Peter Mokaba Stadium,Polokwane,0,0
+722,2010,South Africa,2010-06-12,Group Stage,Matchday 2,Group C,England,USA,,,1,1,,,,,Draw,Draw,Royal Bafokeng Stadium,Rustenburg,0,0
+723,2010,South Africa,2010-06-13,Group Stage,Matchday 3,Group C,Algeria,Slovenia,,,0,1,,,,,Slovenia,Normal Time,Peter Mokaba Stadium,Polokwane,0,0
+724,2010,South Africa,2010-06-18,Group Stage,Matchday 8,Group C,Slovenia,USA,,,2,2,,,,,Draw,Draw,Ellis Park Stadium,Johannesburg,0,0
+725,2010,South Africa,2010-06-18,Group Stage,Matchday 8,Group C,England,Algeria,,,0,0,,,,,Draw,Draw,Cape Town Stadium,Cape Town,0,0
+726,2010,South Africa,2010-06-23,Group Stage,Matchday 13,Group C,USA,Algeria,,,1,0,,,,,USA,Normal Time,Loftus Versfeld Stadium,Pretoria,0,0
+727,2010,South Africa,2010-06-23,Group Stage,Matchday 13,Group C,Slovenia,England,,,0,1,,,,,England,Normal Time,Nelson Mandela Bay Stadium,Port Elizabeth,0,0
+728,2010,South Africa,2010-06-13,Group Stage,Matchday 3,Group D,Serbia,Ghana,,,0,1,,,,,Ghana,Normal Time,Loftus Versfeld Stadium,Pretoria,0,0
+729,2010,South Africa,2010-06-13,Group Stage,Matchday 3,Group D,Germany,Australia,,,4,0,,,,,Germany,Normal Time,Moses Mabhida Stadium,Durban,0,0
+730,2010,South Africa,2010-06-18,Group Stage,Matchday 8,Group D,Germany,Serbia,,,0,1,,,,,Serbia,Normal Time,Nelson Mandela Bay Stadium,Port Elizabeth,0,0
+731,2010,South Africa,2010-06-19,Group Stage,Matchday 9,Group D,Ghana,Australia,,,1,1,,,,,Draw,Draw,Royal Bafokeng Stadium,Rustenburg,0,0
+732,2010,South Africa,2010-06-23,Group Stage,Matchday 13,Group D,Australia,Serbia,,,2,1,,,,,Australia,Normal Time,Mbombela Stadium,Nelspruit,0,0
+733,2010,South Africa,2010-06-23,Group Stage,Matchday 13,Group D,Ghana,Germany,,,0,1,,,,,Germany,Normal Time,Soccer City,Johannesburg,0,0
+734,2010,South Africa,2010-06-14,Group Stage,Matchday 4,Group E,Netherlands,Denmark,,,2,0,,,,,Netherlands,Normal Time,Soccer City,Johannesburg,0,0
+735,2010,South Africa,2010-06-14,Group Stage,Matchday 4,Group E,Japan,Cameroon,,,1,0,,,,,Japan,Normal Time,Free State Stadium,Bloemfontein,0,0
+736,2010,South Africa,2010-06-19,Group Stage,Matchday 9,Group E,Netherlands,Japan,,,1,0,,,,,Netherlands,Normal Time,Moses Mabhida Stadium,Durban,0,0
+737,2010,South Africa,2010-06-19,Group Stage,Matchday 9,Group E,Cameroon,Denmark,,,1,2,,,,,Denmark,Normal Time,Loftus Versfeld Stadium,Pretoria,0,0
+738,2010,South Africa,2010-06-24,Group Stage,Matchday 14,Group E,Denmark,Japan,,,1,3,,,,,Japan,Normal Time,Royal Bafokeng Stadium,Rustenburg,0,0
+739,2010,South Africa,2010-06-24,Group Stage,Matchday 14,Group E,Cameroon,Netherlands,,,1,2,,,,,Netherlands,Normal Time,Cape Town Stadium,Cape Town,0,0
+740,2010,South Africa,2010-06-14,Group Stage,Matchday 4,Group F,Italy,Paraguay,,,1,1,,,,,Draw,Draw,Cape Town Stadium,Cape Town,0,0
+741,2010,South Africa,2010-06-15,Group Stage,Matchday 5,Group F,New Zealand,Slovakia,,,1,1,,,,,Draw,Draw,Royal Bafokeng Stadium,Rustenburg,0,0
+742,2010,South Africa,2010-06-20,Group Stage,Matchday 10,Group F,Slovakia,Paraguay,,,0,2,,,,,Paraguay,Normal Time,Free State Stadium,Bloemfontein,0,0
+743,2010,South Africa,2010-06-20,Group Stage,Matchday 10,Group F,Italy,New Zealand,,,1,1,,,,,Draw,Draw,Mbombela Stadium,Nelspruit,0,0
+744,2010,South Africa,2010-06-24,Group Stage,Matchday 14,Group F,Slovakia,Italy,,,3,2,,,,,Slovakia,Normal Time,Ellis Park Stadium,Johannesburg,0,0
+745,2010,South Africa,2010-06-24,Group Stage,Matchday 14,Group F,Paraguay,New Zealand,,,0,0,,,,,Draw,Draw,Peter Mokaba Stadium,Polokwane,0,0
+746,2010,South Africa,2010-06-15,Group Stage,Matchday 5,Group G,Côte d'Ivoire,Portugal,,,0,0,,,,,Draw,Draw,Nelson Mandela Bay Stadium,Port Elizabeth,0,0
+747,2010,South Africa,2010-06-15,Group Stage,Matchday 5,Group G,Brazil,North Korea,,,2,1,,,,,Brazil,Normal Time,Ellis Park Stadium,Johannesburg,0,0
+748,2010,South Africa,2010-06-20,Group Stage,Matchday 10,Group G,Brazil,Côte d'Ivoire,,,3,1,,,,,Brazil,Normal Time,Soccer City,Johannesburg,0,0
+749,2010,South Africa,2010-06-21,Group Stage,Matchday 11,Group G,Portugal,North Korea,,,7,0,,,,,Portugal,Normal Time,Cape Town Stadium,Cape Town,0,0
+750,2010,South Africa,2010-06-25,Group Stage,Matchday 15,Group G,Portugal,Brazil,,,0,0,,,,,Draw,Draw,Moses Mabhida Stadium,Durban,0,0
+751,2010,South Africa,2010-06-25,Group Stage,Matchday 15,Group G,North Korea,Côte d'Ivoire,,,0,3,,,,,Côte d'Ivoire,Normal Time,Mbombela Stadium,Nelspruit,0,0
+752,2010,South Africa,2010-06-16,Group Stage,Matchday 6,Group H,Honduras,Chile,,,0,1,,,,,Chile,Normal Time,Mbombela Stadium,Nelspruit,0,0
+753,2010,South Africa,2010-06-16,Group Stage,Matchday 6,Group H,Spain,Switzerland,,,0,1,,,,,Switzerland,Normal Time,Moses Mabhida Stadium,Durban,0,0
+754,2010,South Africa,2010-06-21,Group Stage,Matchday 11,Group H,Chile,Switzerland,,,1,0,,,,,Chile,Normal Time,Nelson Mandela Bay Stadium,Port Elizabeth,0,0
+755,2010,South Africa,2010-06-21,Group Stage,Matchday 11,Group H,Spain,Honduras,,,2,0,,,,,Spain,Normal Time,Ellis Park Stadium,Johannesburg,0,0
+756,2010,South Africa,2010-06-25,Group Stage,Matchday 15,Group H,Chile,Spain,,,1,2,,,,,Spain,Normal Time,Loftus Versfeld Stadium,Pretoria,0,0
+757,2010,South Africa,2010-06-25,Group Stage,Matchday 15,Group H,Switzerland,Honduras,,,0,0,,,,,Draw,Draw,Free State Stadium,Bloemfontein,0,0
+758,2010,South Africa,2010-06-26,Round of 16,Round of 16,,Uruguay,South Korea,,,2,1,,,,,Uruguay,Normal Time,Nelson Mandela Bay Stadium,Port Elizabeth,0,0
+759,2010,South Africa,2010-06-26,Round of 16,Round of 16,,USA,Ghana,,,1,1,1,2,,,Ghana,Extra Time,Royal Bafokeng Stadium,Rustenburg,0,0
+760,2010,South Africa,2010-06-27,Round of 16,Round of 16,,Germany,England,,,4,1,,,,,Germany,Normal Time,Free State Stadium,Bloemfontein,0,0
+761,2010,South Africa,2010-06-27,Round of 16,Round of 16,,Argentina,Mexico,,,3,1,,,,,Argentina,Normal Time,Soccer City,Johannesburg,0,0
+762,2010,South Africa,2010-06-28,Round of 16,Round of 16,,Netherlands,Slovakia,,,2,1,,,,,Netherlands,Normal Time,Moses Mabhida Stadium,Durban,0,0
+763,2010,South Africa,2010-06-28,Round of 16,Round of 16,,Brazil,Chile,,,3,0,,,,,Brazil,Normal Time,Ellis Park Stadium,Johannesburg,0,0
+764,2010,South Africa,2010-06-29,Round of 16,Round of 16,,Paraguay,Japan,,,0,0,0,0,5,3,Paraguay,Penalties,Loftus Versfeld Stadium,Pretoria,0,0
+765,2010,South Africa,2010-06-29,Round of 16,Round of 16,,Spain,Portugal,,,1,0,,,,,Spain,Normal Time,Cape Town Stadium,Cape Town,0,0
+766,2010,South Africa,2010-07-02,Quarter-final,Quarterfinals,,Netherlands,Brazil,,,2,1,,,,,Netherlands,Normal Time,Nelson Mandela Bay Stadium,Port Elizabeth,0,0
+767,2010,South Africa,2010-07-02,Quarter-final,Quarterfinals,,Uruguay,Ghana,,,1,1,1,1,4,2,Uruguay,Penalties,Soccer City,Johannesburg,0,0
+768,2010,South Africa,2010-07-03,Quarter-final,Quarterfinals,,Argentina,Germany,,,0,4,,,,,Germany,Normal Time,Cape Town Stadium,Cape Town,0,0
+769,2010,South Africa,2010-07-03,Quarter-final,Quarterfinals,,Paraguay,Spain,,,0,1,,,,,Spain,Normal Time,Ellis Park Stadium,Johannesburg,0,0
+770,2010,South Africa,2010-07-06,Semi-final,Semifinals,,Uruguay,Netherlands,,,2,3,,,,,Netherlands,Normal Time,Cape Town Stadium,Cape Town,0,0
+771,2010,South Africa,2010-07-07,Semi-final,Semifinals,,Germany,Spain,,,0,1,,,,,Spain,Normal Time,Moses Mabhida Stadium,Durban,0,0
+772,2010,South Africa,2010-07-10,Third-place play-off,Third-place play-off,,Uruguay,Germany,,,2,3,,,,,Germany,Normal Time,Nelson Mandela Bay Stadium,Port Elizabeth,0,0
+773,2010,South Africa,2010-07-11,Final,Final,,Netherlands,Spain,,,0,0,0,1,,,Spain,Extra Time,Soccer City,Johannesburg,0,0
+774,2014,Brazil,2014-06-12,Group Stage,Matchday 1,Group A,Brazil,Croatia,1,1,3,1,,,,,Brazil,Normal Time,Arena de São Paulo,São Paulo,3,0
+775,2014,Brazil,2014-06-13,Group Stage,Matchday 2,Group A,Mexico,Cameroon,0,0,1,0,,,,,Mexico,Normal Time,Estádio das Dunas,Natal,1,0
+776,2014,Brazil,2014-06-17,Group Stage,Matchday 6,Group A,Brazil,Mexico,,,0,0,,,,,Draw,Draw,Estádio Castelão,Fortaleza,0,0
+777,2014,Brazil,2014-06-18,Group Stage,Matchday 7,Group A,Cameroon,Croatia,,,0,4,,,,,Croatia,Normal Time,Arena Amazônia,Manaus,0,4
+778,2014,Brazil,2014-06-23,Group Stage,Matchday 12,Group A,Cameroon,Brazil,,,1,4,,,,,Brazil,Normal Time,Estádio Nacional Mané Garrincha,Brasília,1,4
+779,2014,Brazil,2014-06-23,Group Stage,Matchday 12,Group A,Croatia,Mexico,,,1,3,,,,,Mexico,Normal Time,Arena Pernambuco,Recife,1,3
+780,2014,Brazil,2014-06-13,Group Stage,Matchday 2,Group B,Spain,Netherlands,1,1,1,5,,,,,Netherlands,Normal Time,Arena Fonte Nova,Salvador,1,5
+781,2014,Brazil,2014-06-13,Group Stage,Matchday 2,Group B,Chile,Australia,2,1,3,1,,,,,Chile,Normal Time,Arena Pantanal,Cuiabá,3,1
+782,2014,Brazil,2014-06-18,Group Stage,Matchday 7,Group B,Australia,Netherlands,,,2,3,,,,,Netherlands,Normal Time,Estádio Beira-Rio,Porto Alegre,2,3
+783,2014,Brazil,2014-06-18,Group Stage,Matchday 7,Group B,Spain,Chile,,,0,2,,,,,Chile,Normal Time,Estádio do Maracanã,Rio de Janeiro,0,2
+784,2014,Brazil,2014-06-23,Group Stage,Matchday 12,Group B,Australia,Spain,,,0,3,,,,,Spain,Normal Time,Arena da Baixada,Curitiba,0,3
+785,2014,Brazil,2014-06-23,Group Stage,Matchday 12,Group B,Netherlands,Chile,,,2,0,,,,,Netherlands,Normal Time,Arena de São Paulo,São Paulo,2,0
+786,2014,Brazil,2014-06-14,Group Stage,Matchday 3,Group C,Colombia,Greece,,,3,0,,,,,Colombia,Normal Time,Estádio Mineirão,Belo Horizonte,3,0
+787,2014,Brazil,2014-06-14,Group Stage,Matchday 3,Group C,Côte d'Ivoire,Japan,,,2,1,,,,,Côte d'Ivoire,Normal Time,Arena Pernambuco,Recife,2,1
+788,2014,Brazil,2014-06-19,Group Stage,Matchday 8,Group C,Colombia,Côte d'Ivoire,,,2,1,,,,,Colombia,Normal Time,Estádio Nacional Mané Garrincha,Brasília,2,1
+789,2014,Brazil,2014-06-19,Group Stage,Matchday 8,Group C,Japan,Greece,,,0,0,,,,,Draw,Draw,Estádio das Dunas,Natal,0,0
+790,2014,Brazil,2014-06-24,Group Stage,Matchday 13,Group C,Japan,Colombia,,,1,4,,,,,Colombia,Normal Time,Arena Pantanal,Cuiabá,1,4
+791,2014,Brazil,2014-06-24,Group Stage,Matchday 13,Group C,Greece,Côte d'Ivoire,,,2,1,,,,,Greece,Normal Time,Estádio Castelão,Fortaleza,2,1
+792,2014,Brazil,2014-06-14,Group Stage,Matchday 3,Group D,Uruguay,Costa Rica,,,1,3,,,,,Costa Rica,Normal Time,Estádio Castelão,Fortaleza,1,3
+793,2014,Brazil,2014-06-14,Group Stage,Matchday 3,Group D,England,Italy,,,1,2,,,,,Italy,Normal Time,Arena Amazônia,Manaus,1,2
+794,2014,Brazil,2014-06-19,Group Stage,Matchday 8,Group D,Uruguay,England,,,2,1,,,,,Uruguay,Normal Time,Arena de São Paulo,São Paulo,2,1
+795,2014,Brazil,2014-06-20,Group Stage,Matchday 9,Group D,Italy,Costa Rica,,,0,1,,,,,Costa Rica,Normal Time,Arena Pernambuco,Recife,0,1
+796,2014,Brazil,2014-06-24,Group Stage,Matchday 13,Group D,Italy,Uruguay,,,0,1,,,,,Uruguay,Normal Time,Estádio das Dunas,Natal,0,1
+797,2014,Brazil,2014-06-24,Group Stage,Matchday 13,Group D,Costa Rica,England,,,0,0,,,,,Draw,Draw,Estádio Mineirão,Belo Horizonte,0,0
+798,2014,Brazil,2014-06-15,Group Stage,Matchday 4,Group E,Switzerland,Ecuador,,,2,1,,,,,Switzerland,Normal Time,Estádio Nacional Mané Garrincha,Brasília,2,1
+799,2014,Brazil,2014-06-15,Group Stage,Matchday 4,Group E,France,Honduras,,,3,0,,,,,France,Normal Time,Estádio Beira-Rio,Porto Alegre,2,0
+800,2014,Brazil,2014-06-20,Group Stage,Matchday 9,Group E,Switzerland,France,,,2,5,,,,,France,Normal Time,Arena Fonte Nova,Salvador,2,5
+801,2014,Brazil,2014-06-20,Group Stage,Matchday 9,Group E,Honduras,Ecuador,,,1,2,,,,,Ecuador,Normal Time,Arena da Baixada,Curitiba,1,2
+802,2014,Brazil,2014-06-25,Group Stage,Matchday 14,Group E,Honduras,Switzerland,,,0,3,,,,,Switzerland,Normal Time,Arena Amazônia,Manaus,0,3
+803,2014,Brazil,2014-06-25,Group Stage,Matchday 14,Group E,Ecuador,France,,,0,0,,,,,Draw,Draw,Estádio do Maracanã,Rio de Janeiro,0,0
+804,2014,Brazil,2014-06-15,Group Stage,Matchday 4,Group F,Argentina,Bosnia-Herzegovina,,,2,1,,,,,Argentina,Normal Time,Estádio do Maracanã,Rio de Janeiro,1,1
+805,2014,Brazil,2014-06-16,Group Stage,Matchday 5,Group F,Iran,Nigeria,,,0,0,,,,,Draw,Draw,Arena da Baixada,Curitiba,0,0
+806,2014,Brazil,2014-06-21,Group Stage,Matchday 10,Group F,Argentina,Iran,,,1,0,,,,,Argentina,Normal Time,Estádio Mineirão,Belo Horizonte,1,0
+807,2014,Brazil,2014-06-21,Group Stage,Matchday 10,Group F,Nigeria,Bosnia-Herzegovina,,,1,0,,,,,Nigeria,Normal Time,Arena Pantanal,Cuiabá,1,0
+808,2014,Brazil,2014-06-25,Group Stage,Matchday 14,Group F,Nigeria,Argentina,,,2,3,,,,,Argentina,Normal Time,Estádio Beira-Rio,Porto Alegre,2,3
+809,2014,Brazil,2014-06-25,Group Stage,Matchday 14,Group F,Bosnia-Herzegovina,Iran,,,3,1,,,,,Bosnia-Herzegovina,Normal Time,Arena Fonte Nova,Salvador,3,1
+810,2014,Brazil,2014-06-16,Group Stage,Matchday 5,Group G,Germany,Portugal,,,4,0,,,,,Germany,Normal Time,Arena Fonte Nova,Salvador,4,0
+811,2014,Brazil,2014-06-16,Group Stage,Matchday 5,Group G,Ghana,USA,,,1,2,,,,,USA,Normal Time,Estádio das Dunas,Natal,1,2
+812,2014,Brazil,2014-06-21,Group Stage,Matchday 10,Group G,Germany,Ghana,,,2,2,,,,,Draw,Draw,Estádio Castelão,Fortaleza,2,2
+813,2014,Brazil,2014-06-22,Group Stage,Matchday 11,Group G,USA,Portugal,,,2,2,,,,,Draw,Draw,Arena Amazônia,Manaus,2,2
+814,2014,Brazil,2014-06-26,Group Stage,Matchday 15,Group G,USA,Germany,,,0,1,,,,,Germany,Normal Time,Arena Pernambuco,Recife,0,1
+815,2014,Brazil,2014-06-26,Group Stage,Matchday 15,Group G,Portugal,Ghana,,,2,1,,,,,Portugal,Normal Time,Estádio Nacional Mané Garrincha,Brasília,1,1
+816,2014,Brazil,2014-06-17,Group Stage,Matchday 6,Group H,Belgium,Algeria,,,2,1,,,,,Belgium,Normal Time,Estádio Mineirão,Belo Horizonte,2,1
+817,2014,Brazil,2014-06-17,Group Stage,Matchday 6,Group H,Russia,South Korea,,,1,1,,,,,Draw,Draw,Arena Pantanal,Cuiabá,1,1
+818,2014,Brazil,2014-06-22,Group Stage,Matchday 11,Group H,Belgium,Russia,,,1,0,,,,,Belgium,Normal Time,Estádio do Maracanã,Rio de Janeiro,1,0
+819,2014,Brazil,2014-06-22,Group Stage,Matchday 11,Group H,South Korea,Algeria,,,2,4,,,,,Algeria,Normal Time,Estádio Beira-Rio,Porto Alegre,2,4
+820,2014,Brazil,2014-06-26,Group Stage,Matchday 15,Group H,South Korea,Belgium,,,0,1,,,,,Belgium,Normal Time,Arena de São Paulo,São Paulo,0,1
+821,2014,Brazil,2014-06-26,Group Stage,Matchday 15,Group H,Algeria,Russia,,,1,1,,,,,Draw,Draw,Arena da Baixada,Curitiba,1,1
+822,2014,Brazil,2014-06-28,Round of 16,Round of 16,,Brazil,Chile,1,1,1,1,1,1,3,2,Brazil,Penalties,Estádio Mineirão,Belo Horizonte,1,1
+823,2014,Brazil,2014-06-28,Round of 16,Round of 16,,Colombia,Uruguay,1,0,2,0,,,,,Colombia,Normal Time,Estádio do Maracanã,Rio de Janeiro,2,0
+824,2014,Brazil,2014-06-29,Round of 16,Round of 16,,Netherlands,Mexico,0,0,2,1,,,,,Netherlands,Normal Time,Estádio Castelão,Fortaleza,2,1
+825,2014,Brazil,2014-06-29,Round of 16,Round of 16,,Costa Rica,Greece,0,0,1,1,1,1,5,3,Costa Rica,Penalties,Arena Pernambuco,Recife,1,1
+826,2014,Brazil,2014-06-30,Round of 16,Round of 16,,France,Nigeria,0,0,2,0,,,,,France,Normal Time,Estádio Nacional Mané Garrincha,Brasília,1,0
+827,2014,Brazil,2014-06-30,Round of 16,Round of 16,,Germany,Algeria,0,0,0,0,2,1,,,Germany,Extra Time,Estádio Beira-Rio,Porto Alegre,2,1
+828,2014,Brazil,2014-07-01,Round of 16,Round of 16,,Argentina,Switzerland,0,0,0,0,1,0,,,Argentina,Extra Time,Arena de São Paulo,São Paulo,1,0
+829,2014,Brazil,2014-07-01,Round of 16,Round of 16,,Belgium,USA,0,0,0,0,2,1,,,Belgium,Extra Time,Arena Fonte Nova,Salvador,2,1
+830,2014,Brazil,2014-07-04,Quarter-final,Quarter-finals,,France,Germany,0,1,0,1,,,,,Germany,Normal Time,Estádio do Maracanã,Rio de Janeiro,0,1
+831,2014,Brazil,2014-07-04,Quarter-final,Quarter-finals,,Brazil,Colombia,1,0,2,1,,,,,Brazil,Normal Time,Estádio Castelão,Fortaleza,2,1
+832,2014,Brazil,2014-07-05,Quarter-final,Quarter-finals,,Argentina,Belgium,1,0,1,0,,,,,Argentina,Normal Time,Estádio Nacional Mané Garrincha,Brasília,1,0
+833,2014,Brazil,2014-07-05,Quarter-final,Quarter-finals,,Netherlands,Costa Rica,0,0,0,0,0,0,4,3,Netherlands,Penalties,Arena Fonte Nova,Salvador,0,0
+834,2014,Brazil,2014-07-08,Semi-final,Semi-finals,,Brazil,Germany,0,5,1,7,,,,,Germany,Normal Time,Estádio Mineirão,Belo Horizonte,1,7
+835,2014,Brazil,2014-07-09,Semi-final,Semi-finals,,Netherlands,Argentina,0,0,0,0,0,0,2,4,Argentina,Penalties,Arena de São Paulo,São Paulo,0,0
+836,2014,Brazil,2014-07-12,Third Place Play-off,Match for third place,,Brazil,Netherlands,0,2,0,3,,,,,Netherlands,Normal Time,Estádio Nacional Mané Garrincha,Brasília,0,3
+837,2014,Brazil,2014-07-13,Final,Final,,Germany,Argentina,0,0,0,0,1,0,,,Germany,Extra Time,Estádio do Maracanã,Rio de Janeiro,1,0
+838,2018,Russia,2018-06-14,Group Stage,Matchday 1,Group A,Russia,Saudi Arabia,2,0,5,0,,,,,Russia,Normal Time,Luzhniki Stadium,Moscow,5,0
+839,2018,Russia,2018-06-15,Group Stage,Matchday 2,Group A,Egypt,Uruguay,0,0,0,1,,,,,Uruguay,Normal Time,Ekaterinburg Arena,Ekaterinburg,0,1
+840,2018,Russia,2018-06-19,Group Stage,Matchday 6,Group A,Russia,Egypt,0,0,3,1,,,,,Russia,Normal Time,Saint Petersburg Stadium,Saint Petersburg,2,1
+841,2018,Russia,2018-06-20,Group Stage,Matchday 7,Group A,Uruguay,Saudi Arabia,1,0,1,0,,,,,Uruguay,Normal Time,Rostov Arena,Rostov-on-Don,1,0
+842,2018,Russia,2018-06-25,Group Stage,Matchday 12,Group A,Uruguay,Russia,2,0,3,0,,,,,Uruguay,Normal Time,Samara Arena,Samara,2,0
+843,2018,Russia,2018-06-25,Group Stage,Matchday 12,Group A,Saudi Arabia,Egypt,1,1,2,1,,,,,Saudi Arabia,Normal Time,Volgograd Arena,Volgograd,2,1
+844,2018,Russia,2018-06-15,Group Stage,Matchday 2,Group B,Morocco,Iran,0,0,0,1,,,,,Iran,Normal Time,Saint Petersburg Stadium,Saint Petersburg,0,0
+845,2018,Russia,2018-06-15,Group Stage,Matchday 2,Group B,Portugal,Spain,2,1,3,3,,,,,Draw,Draw,Fisht Stadium,Sochi,3,3
+846,2018,Russia,2018-06-20,Group Stage,Matchday 7,Group B,Portugal,Morocco,1,0,1,0,,,,,Portugal,Normal Time,Luzhniki Stadium,Moscow,1,0
+847,2018,Russia,2018-06-20,Group Stage,Matchday 7,Group B,Iran,Spain,0,0,0,1,,,,,Spain,Normal Time,Kazan Arena,Kazan,0,1
+848,2018,Russia,2018-06-25,Group Stage,Matchday 12,Group B,Iran,Portugal,0,1,1,1,,,,,Draw,Draw,Mordovia Arena,Saransk,1,1
+849,2018,Russia,2018-06-25,Group Stage,Matchday 12,Group B,Spain,Morocco,1,1,2,2,,,,,Draw,Draw,Kaliningrad Stadium,Kaliningrad,2,2
+850,2018,Russia,2018-06-16,Group Stage,Matchday 3,Group C,France,Australia,0,0,2,1,,,,,France,Normal Time,Kazan Arena,Kazan,1,1
+851,2018,Russia,2018-06-16,Group Stage,Matchday 3,Group C,Peru,Denmark,0,0,0,1,,,,,Denmark,Normal Time,Mordovia Arena,Saransk,0,1
+852,2018,Russia,2018-06-21,Group Stage,Matchday 8,Group C,Denmark,Australia,1,1,1,1,,,,,Draw,Draw,Samara Arena,Samara,1,1
+853,2018,Russia,2018-06-21,Group Stage,Matchday 8,Group C,France,Peru,1,0,1,0,,,,,France,Normal Time,Ekaterinburg Arena,Ekaterinburg,1,0
+854,2018,Russia,2018-06-26,Group Stage,Matchday 13,Group C,Denmark,France,0,0,0,0,,,,,Draw,Draw,Luzhniki Stadium,Moscow,0,0
+855,2018,Russia,2018-06-26,Group Stage,Matchday 13,Group C,Australia,Peru,0,1,0,2,,,,,Peru,Normal Time,Fisht Stadium,Sochi,0,2
+856,2018,Russia,2018-06-16,Group Stage,Matchday 3,Group D,Argentina,Iceland,1,1,1,1,,,,,Draw,Draw,Spartak Stadium,Moscow,1,1
+857,2018,Russia,2018-06-16,Group Stage,Matchday 3,Group D,Croatia,Nigeria,1,0,2,0,,,,,Croatia,Normal Time,Kaliningrad Stadium,Kaliningrad,1,0
+858,2018,Russia,2018-06-21,Group Stage,Matchday 8,Group D,Argentina,Croatia,0,0,0,3,,,,,Croatia,Normal Time,Nizhny Novgorod Stadium,Nizhny Novgorod,0,3
+859,2018,Russia,2018-06-22,Group Stage,Matchday 9,Group D,Nigeria,Iceland,0,0,2,0,,,,,Nigeria,Normal Time,Volgograd Arena,Volgograd,2,0
+860,2018,Russia,2018-06-26,Group Stage,Matchday 13,Group D,Nigeria,Argentina,0,1,1,2,,,,,Argentina,Normal Time,Saint Petersburg Stadium,Saint Petersburg,1,2
+861,2018,Russia,2018-06-26,Group Stage,Matchday 13,Group D,Iceland,Croatia,0,0,1,2,,,,,Croatia,Normal Time,Rostov Arena,Rostov-on-Don,1,2
+862,2018,Russia,2018-06-17,Group Stage,Matchday 4,Group E,Costa Rica,Serbia,0,0,0,1,,,,,Serbia,Normal Time,Samara Arena,Samara,0,1
+863,2018,Russia,2018-06-17,Group Stage,Matchday 4,Group E,Brazil,Switzerland,1,0,1,1,,,,,Draw,Draw,Rostov Arena,Rostov-on-Don,1,1
+864,2018,Russia,2018-06-22,Group Stage,Matchday 9,Group E,Brazil,Costa Rica,0,0,2,0,,,,,Brazil,Normal Time,Saint Petersburg Stadium,Saint Petersburg,2,0
+865,2018,Russia,2018-06-22,Group Stage,Matchday 9,Group E,Serbia,Switzerland,1,0,1,2,,,,,Switzerland,Normal Time,Kaliningrad Stadium,Kaliningrad,1,2
+866,2018,Russia,2018-06-27,Group Stage,Matchday 14,Group E,Serbia,Brazil,0,1,0,2,,,,,Brazil,Normal Time,Spartak Stadium,Moscow,0,2
+867,2018,Russia,2018-06-27,Group Stage,Matchday 14,Group E,Switzerland,Costa Rica,1,0,2,2,,,,,Draw,Draw,Nizhny Novgorod Stadium,Nizhny Novgorod,2,1
+868,2018,Russia,2018-06-17,Group Stage,Matchday 4,Group F,Germany,Mexico,0,1,0,1,,,,,Mexico,Normal Time,Luzhniki Stadium,Moscow,0,1
+869,2018,Russia,2018-06-18,Group Stage,Matchday 5,Group F,Sweden,South Korea,0,0,1,0,,,,,Sweden,Normal Time,Nizhny Novgorod Stadium,Nizhny Novgorod,1,0
+870,2018,Russia,2018-06-23,Group Stage,Matchday 10,Group F,South Korea,Mexico,0,1,1,2,,,,,Mexico,Normal Time,Rostov Arena,Rostov-on-Don,1,2
+871,2018,Russia,2018-06-23,Group Stage,Matchday 10,Group F,Germany,Sweden,0,1,2,1,,,,,Germany,Normal Time,Fisht Stadium,Sochi,2,1
+872,2018,Russia,2018-06-27,Group Stage,Matchday 14,Group F,South Korea,Germany,0,0,2,0,,,,,South Korea,Normal Time,Kazan Arena,Kazan,2,0
+873,2018,Russia,2018-06-27,Group Stage,Matchday 14,Group F,Mexico,Sweden,0,0,0,3,,,,,Sweden,Normal Time,Ekaterinburg Arena,Ekaterinburg,0,2
+874,2018,Russia,2018-06-18,Group Stage,Matchday 5,Group G,Belgium,Panama,0,0,3,0,,,,,Belgium,Normal Time,Fisht Stadium,Sochi,3,0
+875,2018,Russia,2018-06-18,Group Stage,Matchday 5,Group G,Tunisia,England,1,1,1,2,,,,,England,Normal Time,Volgograd Arena,Volgograd,1,2
+876,2018,Russia,2018-06-23,Group Stage,Matchday 10,Group G,Belgium,Tunisia,3,1,5,2,,,,,Belgium,Normal Time,Spartak Stadium,Moscow,5,2
+877,2018,Russia,2018-06-24,Group Stage,Matchday 11,Group G,England,Panama,5,0,6,1,,,,,England,Normal Time,Nizhny Novgorod Stadium,Nizhny Novgorod,6,1
+878,2018,Russia,2018-06-28,Group Stage,Matchday 15,Group G,England,Belgium,0,0,0,1,,,,,Belgium,Normal Time,Kaliningrad Stadium,Kaliningrad,0,1
+879,2018,Russia,2018-06-28,Group Stage,Matchday 15,Group G,Panama,Tunisia,1,0,1,2,,,,,Tunisia,Normal Time,Mordovia Arena,Saransk,0,2
+880,2018,Russia,2018-06-19,Group Stage,Matchday 6,Group H,Colombia,Japan,1,1,1,2,,,,,Japan,Normal Time,Mordovia Arena,Saransk,1,2
+881,2018,Russia,2018-06-19,Group Stage,Matchday 6,Group H,Poland,Senegal,0,1,1,2,,,,,Senegal,Normal Time,Spartak Stadium,Moscow,1,1
+882,2018,Russia,2018-06-24,Group Stage,Matchday 11,Group H,Japan,Senegal,1,1,2,2,,,,,Draw,Draw,Ekaterinburg Arena,Ekaterinburg,2,2
+883,2018,Russia,2018-06-24,Group Stage,Matchday 11,Group H,Poland,Colombia,0,1,0,3,,,,,Colombia,Normal Time,Kazan Arena,Kazan,0,3
+884,2018,Russia,2018-06-28,Group Stage,Matchday 15,Group H,Japan,Poland,0,1,0,1,,,,,Poland,Normal Time,Volgograd Arena,Volgograd,0,1
+885,2018,Russia,2018-06-28,Group Stage,Matchday 15,Group H,Senegal,Colombia,0,1,0,1,,,,,Colombia,Normal Time,Samara Arena,Samara,0,1
+886,2018,Russia,2018-06-30,Round of 16,Round of 16,,France,Argentina,1,1,4,3,,,,,France,Normal Time,Kazan Arena,Kazan,4,3
+887,2018,Russia,2018-06-30,Round of 16,Round of 16,,Uruguay,Portugal,1,0,2,1,,,,,Uruguay,Normal Time,Fisht Stadium,Sochi,2,1
+888,2018,Russia,2018-07-01,Round of 16,Round of 16,,Spain,Russia,1,1,1,1,1,1,3,4,Russia,Penalties,Luzhniki Stadium,Moscow,0,1
+889,2018,Russia,2018-07-01,Round of 16,Round of 16,,Croatia,Denmark,1,1,1,1,1,1,3,2,Croatia,Penalties,Nizhny Novgorod Stadium,Nizhny Novgorod,1,1
+890,2018,Russia,2018-07-02,Round of 16,Round of 16,,Brazil,Mexico,0,0,2,0,,,,,Brazil,Normal Time,Samara Arena,Samara,2,0
+891,2018,Russia,2018-07-02,Round of 16,Round of 16,,Belgium,Japan,0,0,3,2,,,,,Belgium,Normal Time,Rostov Arena,Rostov-on-Don,3,2
+892,2018,Russia,2018-07-03,Round of 16,Round of 16,,Sweden,Switzerland,0,0,1,0,,,,,Sweden,Normal Time,Saint Petersburg Stadium,Saint Petersburg,1,0
+893,2018,Russia,2018-07-03,Round of 16,Round of 16,,Colombia,England,0,0,1,1,1,1,3,4,England,Penalties,Spartak Stadium,Moscow,1,1
+894,2018,Russia,2018-07-06,Quarter-final,Quarter-finals,,Uruguay,France,0,1,0,2,,,,,France,Normal Time,Nizhny Novgorod Stadium,Nizhny Novgorod,0,2
+895,2018,Russia,2018-07-06,Quarter-final,Quarter-finals,,Brazil,Belgium,0,2,1,2,,,,,Belgium,Normal Time,Kazan Arena,Kazan,1,1
+896,2018,Russia,2018-07-07,Quarter-final,Quarter-finals,,Sweden,England,0,1,0,2,,,,,England,Normal Time,Samara Arena,Samara,0,2
+897,2018,Russia,2018-07-07,Quarter-final,Quarter-finals,,Russia,Croatia,1,1,1,1,2,2,3,4,Croatia,Penalties,Fisht Stadium,Sochi,2,2
+898,2018,Russia,2018-07-10,Semi-final,Semi-finals,,France,Belgium,0,0,1,0,,,,,France,Normal Time,Saint Petersburg Stadium,St. Petersburg,1,0
+899,2018,Russia,2018-07-11,Semi-final,Semi-finals,,Croatia,England,0,1,1,1,2,1,,,Croatia,Extra Time,Luzhniki Stadium,Moscow,2,1
+900,2018,Russia,2018-07-14,Third Place Play-off,Match for third place,,Belgium,England,1,0,2,0,,,,,Belgium,Normal Time,Saint Petersburg Stadium,St. Petersburg,2,0
+901,2018,Russia,2018-07-15,Final,Final,,France,Croatia,2,1,4,2,,,,,France,Normal Time,Luzhniki Stadium,Moscow,3,2
+902,2022,Qatar,2022-11-20,Group Stage,Matchday 1,Group A,Qatar,Ecuador,0,2,0,2,,,,,Ecuador,Normal Time,Al Bayt Stadium,Al Khor,0,2
+903,2022,Qatar,2022-11-21,Group Stage,Matchday 2,Group A,Senegal,Netherlands,0,0,0,2,,,,,Netherlands,Normal Time,Al Thumama Stadium,Doha,0,2
+904,2022,Qatar,2022-11-25,Group Stage,Matchday 6,Group A,Qatar,Senegal,0,1,1,3,,,,,Senegal,Normal Time,Al Thumama Stadium,Doha,1,3
+905,2022,Qatar,2022-11-25,Group Stage,Matchday 6,Group A,Netherlands,Ecuador,1,0,1,1,,,,,Draw,Draw,Khalifa International Stadium,Al Rayyan,1,1
+906,2022,Qatar,2022-11-29,Group Stage,Matchday 10,Group A,Ecuador,Senegal,0,1,1,2,,,,,Senegal,Normal Time,Khalifa International Stadium,Al Rayyan,1,2
+907,2022,Qatar,2022-11-29,Group Stage,Matchday 10,Group A,Netherlands,Qatar,1,0,2,0,,,,,Netherlands,Normal Time,Al Bayt Stadium,Al Khor,2,0
+908,2022,Qatar,2022-11-21,Group Stage,Matchday 2,Group B,England,Iran,3,0,6,2,,,,,England,Normal Time,Khalifa International Stadium,Al Rayyan,6,2
+909,2022,Qatar,2022-11-21,Group Stage,Matchday 2,Group B,USA,Wales,1,0,1,1,,,,,Draw,Draw,Ahmad bin Ali Stadium,Al Rayyan,1,1
+910,2022,Qatar,2022-11-25,Group Stage,Matchday 6,Group B,Wales,Iran,0,0,0,2,,,,,Iran,Normal Time,Ahmad bin Ali Stadium,Al Rayyan,0,2
+911,2022,Qatar,2022-11-25,Group Stage,Matchday 6,Group B,England,USA,,,0,0,,,,,Draw,Draw,Al Bayt Stadium,Al Khor,0,0
+912,2022,Qatar,2022-11-29,Group Stage,Matchday 10,Group B,Wales,England,0,0,0,3,,,,,England,Normal Time,Ahmad bin Ali Stadium,Al Rayyan,0,3
+913,2022,Qatar,2022-11-29,Group Stage,Matchday 10,Group B,Iran,USA,0,1,0,1,,,,,USA,Normal Time,Al Thumama Stadium,Doha,0,1
+914,2022,Qatar,2022-11-22,Group Stage,Matchday 3,Group C,Argentina,Saudi Arabia,1,0,1,2,,,,,Saudi Arabia,Normal Time,Lusail Iconic Stadium,Lusail,1,2
+915,2022,Qatar,2022-11-22,Group Stage,Matchday 3,Group C,Mexico,Poland,,,0,0,,,,,Draw,Draw,Stadium 974,Doha,0,0
+916,2022,Qatar,2022-11-26,Group Stage,Matchday 7,Group C,Poland,Saudi Arabia,1,0,2,0,,,,,Poland,Normal Time,Education City Stadium,Al Rayyan,2,0
+917,2022,Qatar,2022-11-26,Group Stage,Matchday 7,Group C,Argentina,Mexico,0,0,2,0,,,,,Argentina,Normal Time,Lusail Iconic Stadium,Lusail,2,0
+918,2022,Qatar,2022-11-30,Group Stage,Matchday 11,Group C,Poland,Argentina,0,0,0,2,,,,,Argentina,Normal Time,Stadium 974,Doha,0,2
+919,2022,Qatar,2022-11-30,Group Stage,Matchday 11,Group C,Saudi Arabia,Mexico,0,0,1,2,,,,,Mexico,Normal Time,Lusail Iconic Stadium,Lusail,1,2
+920,2022,Qatar,2022-11-22,Group Stage,Matchday 3,Group D,Denmark,Tunisia,,,0,0,,,,,Draw,Draw,Education City Stadium,Al Rayyan,0,0
+921,2022,Qatar,2022-11-22,Group Stage,Matchday 3,Group D,France,Australia,2,1,4,1,,,,,France,Normal Time,Al Janoub Stadium,Al Wakrah,4,1
+922,2022,Qatar,2022-11-26,Group Stage,Matchday 7,Group D,Tunisia,Australia,0,1,0,1,,,,,Australia,Normal Time,Al Janoub Stadium,Al Wakrah,0,1
+923,2022,Qatar,2022-11-26,Group Stage,Matchday 7,Group D,France,Denmark,0,0,2,1,,,,,France,Normal Time,Stadium 974,Doha,2,1
+924,2022,Qatar,2022-11-30,Group Stage,Matchday 11,Group D,Australia,Denmark,0,0,1,0,,,,,Australia,Normal Time,Al Janoub Stadium,Al Wakrah,1,0
+925,2022,Qatar,2022-11-30,Group Stage,Matchday 11,Group D,Tunisia,France,0,0,1,0,,,,,Tunisia,Normal Time,Education City Stadium,Al Rayyan,1,0
+926,2022,Qatar,2022-11-23,Group Stage,Matchday 4,Group E,Germany,Japan,1,0,1,2,,,,,Japan,Normal Time,Khalifa International Stadium,Al Rayyan,1,2
+927,2022,Qatar,2022-11-23,Group Stage,Matchday 4,Group E,Spain,Costa Rica,3,0,7,0,,,,,Spain,Normal Time,Al Thumama Stadium,Doha,7,0
+928,2022,Qatar,2022-11-27,Group Stage,Matchday 8,Group E,Japan,Costa Rica,0,0,0,1,,,,,Costa Rica,Normal Time,Ahmad bin Ali Stadium,Al Rayyan,0,1
+929,2022,Qatar,2022-11-27,Group Stage,Matchday 8,Group E,Spain,Germany,0,0,1,1,,,,,Draw,Draw,Al Bayt Stadium,Al Khor,1,1
+930,2022,Qatar,2022-12-01,Group Stage,Matchday 12,Group E,Japan,Spain,0,0,2,1,,,,,Japan,Normal Time,Khalifa International Stadium,Al Rayyan,2,1
+931,2022,Qatar,2022-12-01,Group Stage,Matchday 12,Group E,Costa Rica,Germany,0,1,2,4,,,,,Germany,Normal Time,Al Bayt Stadium,Al Khor,2,4
+932,2022,Qatar,2022-11-23,Group Stage,Matchday 4,Group F,Morocco,Croatia,,,0,0,,,,,Draw,Draw,Al Bayt Stadium,Al Khor,0,0
+933,2022,Qatar,2022-11-23,Group Stage,Matchday 4,Group F,Belgium,Canada,1,0,1,0,,,,,Belgium,Normal Time,Ahmad bin Ali Stadium,Al Rayyan,1,0
+934,2022,Qatar,2022-11-27,Group Stage,Matchday 8,Group F,Belgium,Morocco,0,0,0,2,,,,,Morocco,Normal Time,Al Thumama Stadium,Doha,0,2
+935,2022,Qatar,2022-11-27,Group Stage,Matchday 8,Group F,Croatia,Canada,2,1,4,1,,,,,Croatia,Normal Time,Khalifa International Stadium,Al Rayyan,4,1
+936,2022,Qatar,2022-12-01,Group Stage,Matchday 12,Group F,Croatia,Belgium,,,0,0,,,,,Draw,Draw,Ahmad bin Ali Stadium,Al Rayyan,0,0
+937,2022,Qatar,2022-12-01,Group Stage,Matchday 12,Group F,Canada,Morocco,1,2,1,2,,,,,Morocco,Normal Time,Al Thumama Stadium,Doha,0,2
+938,2022,Qatar,2022-11-24,Group Stage,Matchday 5,Group G,Switzerland,Cameroon,0,0,1,0,,,,,Switzerland,Normal Time,Al Janoub Stadium,Al Wakrah,1,0
+939,2022,Qatar,2022-11-24,Group Stage,Matchday 5,Group G,Brazil,Serbia,0,0,2,0,,,,,Brazil,Normal Time,Lusail Iconic Stadium,Lusail,2,0
+940,2022,Qatar,2022-11-28,Group Stage,Matchday 9,Group G,Cameroon,Serbia,1,2,3,3,,,,,Draw,Draw,Al Janoub Stadium,Al Wakrah,3,3
+941,2022,Qatar,2022-11-28,Group Stage,Matchday 9,Group G,Brazil,Switzerland,0,0,1,0,,,,,Brazil,Normal Time,Stadium 974,Doha,1,0
+942,2022,Qatar,2022-12-02,Group Stage,Matchday 13,Group G,Serbia,Switzerland,2,1,2,3,,,,,Switzerland,Normal Time,Stadium 974,Doha,2,3
+943,2022,Qatar,2022-12-02,Group Stage,Matchday 13,Group G,Cameroon,Brazil,0,0,1,0,,,,,Cameroon,Normal Time,Lusail Iconic Stadium,Lusail,1,0
+944,2022,Qatar,2022-11-24,Group Stage,Matchday 5,Group H,Uruguay,South Korea,,,0,0,,,,,Draw,Draw,Education City Stadium,Al Rayyan,0,0
+945,2022,Qatar,2022-11-24,Group Stage,Matchday 5,Group H,Portugal,Ghana,0,0,3,2,,,,,Portugal,Normal Time,Stadium 974,Doha,3,2
+946,2022,Qatar,2022-11-28,Group Stage,Matchday 9,Group H,South Korea,Ghana,0,2,2,3,,,,,Ghana,Normal Time,Education City Stadium,Al Rayyan,2,3
+947,2022,Qatar,2022-11-28,Group Stage,Matchday 9,Group H,Portugal,Uruguay,0,0,2,0,,,,,Portugal,Normal Time,Lusail Iconic Stadium,Lusail,2,0
+948,2022,Qatar,2022-12-02,Group Stage,Matchday 13,Group H,Ghana,Uruguay,,,0,2,,,,,Uruguay,Normal Time,Al Janoub Stadium,Al Wakrah,0,2
+949,2022,Qatar,2022-12-02,Group Stage,Matchday 13,Group H,South Korea,Portugal,1,1,2,1,,,,,South Korea,Normal Time,Lusail Iconic Stadium,Lusail,2,1
+950,2022,Qatar,2022-12-03,Round of 16,Round of 16,,Netherlands,USA,2,0,3,1,,,,,Netherlands,Normal Time,Khalifa International Stadium,Al Rayyan,3,1
+951,2022,Qatar,2022-12-03,Round of 16,Round of 16,,Argentina,Australia,1,0,2,1,,,,,Argentina,Normal Time,Ahmad bin Ali Stadium,Al Rayyan,2,0
+952,2022,Qatar,2022-12-04,Round of 16,Round of 16,,France,Poland,1,0,3,1,,,,,France,Normal Time,Al Thumama Stadium,Doha,3,1
+953,2022,Qatar,2022-12-04,Round of 16,Round of 16,,England,Senegal,2,0,3,0,,,,,England,Normal Time,Al Bayt Stadium,Al Khor,3,0
+954,2022,Qatar,2022-12-05,Round of 16,Round of 16,,Japan,Croatia,1,0,1,1,1,1,1,3,Croatia,Penalties,Al Janoub Stadium,Al Wakrah,1,1
+955,2022,Qatar,2022-12-05,Round of 16,Round of 16,,Brazil,South Korea,4,0,4,1,,,,,Brazil,Normal Time,Stadium 974,Doha,4,1
+956,2022,Qatar,2022-12-06,Round of 16,Round of 16,,Morocco,Spain,0,0,0,0,0,0,3,0,Morocco,Penalties,Education City Stadium,Al Rayyan,0,0
+957,2022,Qatar,2022-12-06,Round of 16,Round of 16,,Portugal,Switzerland,2,0,6,1,,,,,Portugal,Normal Time,Lusail Iconic Stadium,Lusail,6,1
+958,2022,Qatar,2022-12-09,Quarter-final,Quarter-finals,,Croatia,Brazil,0,0,0,0,1,1,4,2,Croatia,Penalties,Education City Stadium,Al Rayyan,1,1
+959,2022,Qatar,2022-12-09,Quarter-final,Quarter-finals,,Netherlands,Argentina,1,0,2,2,2,2,3,4,Argentina,Penalties,Lusail Iconic Stadium,Lusail,2,2
+960,2022,Qatar,2022-12-10,Quarter-final,Quarter-finals,,Morocco,Portugal,1,0,1,0,,,,,Morocco,Normal Time,Al Thumama Stadium,Doha,1,0
+961,2022,Qatar,2022-12-10,Quarter-final,Quarter-finals,,England,France,0,1,1,2,,,,,France,Normal Time,Al Bayt Stadium,Al Khor,1,2
+962,2022,Qatar,2022-12-13,Semi-final,Semi-finals,,Argentina,Croatia,2,0,3,0,,,,,Argentina,Normal Time,Lusail Iconic Stadium,Lusail,3,0
+963,2022,Qatar,2022-12-14,Semi-final,Semi-finals,,France,Morocco,1,0,2,0,,,,,France,Normal Time,Al Bayt Stadium,Al Khor,2,0
+964,2022,Qatar,2022-12-17,Third Place Play-off,Match for third place,,Croatia,Morocco,2,1,2,1,,,,,Croatia,Normal Time,Khalifa International Stadium,Al Rayyan,2,1
+965,2022,Qatar,2022-12-18,Final,Final,,Argentina,France,2,0,2,2,3,3,4,2,Argentina,Penalties,Lusail Iconic Stadium,Lusail,3,3
+966,2026,"Canada, Mexico, United States",2026-06-11,Group Stage,Matchday 1,Group A,Mexico,South Africa,1,0,2,0,,,,,Mexico,Normal Time,Estadio Azteca,Mexico City,2,0
+967,2026,"Canada, Mexico, United States",2026-06-11,Group Stage,Matchday 1,Group A,South Korea,Czech Republic,0,0,2,1,,,,,South Korea,Normal Time,Estadio Guadalajara,Zapopan,2,1
+968,2026,"Canada, Mexico, United States",2026-06-18,Group Stage,Matchday 8,Group A,Czech Republic,South Africa,1,0,1,1,,,,,Draw,Draw,Mercedes-Benz Stadium,Atlanta,1,1
+969,2026,"Canada, Mexico, United States",2026-06-18,Group Stage,Matchday 8,Group A,Mexico,South Korea,0,0,1,0,,,,,Mexico,Normal Time,Estadio Guadalajara,Zapopan,1,0
+970,2026,"Canada, Mexico, United States",2026-06-24,Group Stage,Matchday 14,Group A,Czech Republic,Mexico,0,0,0,3,,,,,Mexico,Normal Time,Estadio Azteca,Mexico City,0,3
+971,2026,"Canada, Mexico, United States",2026-06-24,Group Stage,Matchday 14,Group A,South Africa,South Korea,0,0,1,0,,,,,South Africa,Normal Time,Estadio Monterrey,Guadalupe,1,0
+972,2026,"Canada, Mexico, United States",2026-06-12,Group Stage,Matchday 2,Group B,Canada,Bosnia & Herzegovina,0,1,1,1,,,,,Draw,Draw,BMO Field,Toronto,1,1
+973,2026,"Canada, Mexico, United States",2026-06-13,Group Stage,Matchday 3,Group B,Qatar,Switzerland,0,1,1,1,,,,,Draw,Draw,Levi's Stadium,Santa Clara,1,1
+974,2026,"Canada, Mexico, United States",2026-06-18,Group Stage,Matchday 8,Group B,Switzerland,Bosnia & Herzegovina,0,0,4,1,,,,,Switzerland,Normal Time,SoFi Stadium,Inglewood,4,1
+975,2026,"Canada, Mexico, United States",2026-06-18,Group Stage,Matchday 8,Group B,Canada,Qatar,3,0,6,0,,,,,Canada,Normal Time,BC Place,Vancouver,6,0
+976,2026,"Canada, Mexico, United States",2026-06-24,Group Stage,Matchday 14,Group B,Switzerland,Canada,0,0,2,1,,,,,Switzerland,Normal Time,BC Place,Vancouver,2,1
+977,2026,"Canada, Mexico, United States",2026-06-24,Group Stage,Matchday 14,Group B,Bosnia & Herzegovina,Qatar,2,1,3,1,,,,,Bosnia & Herzegovina,Normal Time,Lumen Field,Seattle,3,1
+978,2026,"Canada, Mexico, United States",2026-06-13,Group Stage,Matchday 3,Group C,Brazil,Morocco,1,1,1,1,,,,,Draw,Draw,MetLife Stadium,East Rutherford,1,1
+979,2026,"Canada, Mexico, United States",2026-06-13,Group Stage,Matchday 3,Group C,Haiti,Scotland,0,1,0,1,,,,,Scotland,Normal Time,Gillette Stadium,Foxborough,0,1
+980,2026,"Canada, Mexico, United States",2026-06-19,Group Stage,Matchday 9,Group C,Scotland,Morocco,0,1,0,1,,,,,Morocco,Normal Time,Gillette Stadium,Foxborough,0,1
+981,2026,"Canada, Mexico, United States",2026-06-19,Group Stage,Matchday 9,Group C,Brazil,Haiti,3,0,3,0,,,,,Brazil,Normal Time,Lincoln Financial Field,Philadelphia,3,0
+982,2026,"Canada, Mexico, United States",2026-06-24,Group Stage,Matchday 14,Group C,Scotland,Brazil,0,2,0,3,,,,,Brazil,Normal Time,Hard Rock Stadium,Miami Gardens,0,3
+983,2026,"Canada, Mexico, United States",2026-06-24,Group Stage,Matchday 14,Group C,Morocco,Haiti,2,2,4,2,,,,,Morocco,Normal Time,Mercedes-Benz Stadium,Atlanta,4,2
+984,2026,"Canada, Mexico, United States",2026-06-12,Group Stage,Matchday 2,Group D,USA,Paraguay,3,0,4,1,,,,,USA,Normal Time,SoFi Stadium,Inglewood,4,1
+985,2026,"Canada, Mexico, United States",2026-06-13,Group Stage,Matchday 3,Group D,Australia,Turkey,1,0,2,0,,,,,Australia,Normal Time,BC Place,Vancouver,2,0
+986,2026,"Canada, Mexico, United States",2026-06-19,Group Stage,Matchday 9,Group D,USA,Australia,2,0,2,0,,,,,USA,Normal Time,Lumen Field,Seattle,2,0
+987,2026,"Canada, Mexico, United States",2026-06-19,Group Stage,Matchday 9,Group D,Turkey,Paraguay,0,1,0,1,,,,,Paraguay,Normal Time,Levi's Stadium,Santa Clara,0,1
+988,2026,"Canada, Mexico, United States",2026-06-25,Group Stage,Matchday 15,Group D,Turkey,USA,2,1,3,2,,,,,Turkey,Normal Time,SoFi Stadium,Inglewood,3,2
+989,2026,"Canada, Mexico, United States",2026-06-25,Group Stage,Matchday 15,Group D,Paraguay,Australia,0,0,0,0,,,,,Draw,Draw,Levi's Stadium,Santa Clara,0,0
+990,2026,"Canada, Mexico, United States",2026-06-14,Group Stage,Matchday 4,Group E,Germany,Curaçao,3,1,7,1,,,,,Germany,Normal Time,NRG Stadium,Houston,7,1
+991,2026,"Canada, Mexico, United States",2026-06-14,Group Stage,Matchday 4,Group E,Ivory Coast,Ecuador,0,0,1,0,,,,,Ivory Coast,Normal Time,Lincoln Financial Field,Philadelphia,1,0
+992,2026,"Canada, Mexico, United States",2026-06-20,Group Stage,Matchday 10,Group E,Germany,Ivory Coast,0,1,2,1,,,,,Germany,Normal Time,BMO Field,Toronto,2,1
+993,2026,"Canada, Mexico, United States",2026-06-20,Group Stage,Matchday 10,Group E,Ecuador,Curaçao,0,0,0,0,,,,,Draw,Draw,Arrowhead Stadium,Kansas City,0,0
+994,2026,"Canada, Mexico, United States",2026-06-25,Group Stage,Matchday 15,Group E,Curaçao,Ivory Coast,0,1,0,2,,,,,Ivory Coast,Normal Time,Lincoln Financial Field,Philadelphia,0,2
+995,2026,"Canada, Mexico, United States",2026-06-25,Group Stage,Matchday 15,Group E,Ecuador,Germany,1,1,2,1,,,,,Ecuador,Normal Time,MetLife Stadium,East Rutherford,2,1
+996,2026,"Canada, Mexico, United States",2026-06-14,Group Stage,Matchday 4,Group F,Netherlands,Japan,0,0,2,2,,,,,Draw,Draw,AT&T Stadium,Arlington,2,2
+997,2026,"Canada, Mexico, United States",2026-06-14,Group Stage,Matchday 4,Group F,Sweden,Tunisia,2,1,5,1,,,,,Sweden,Normal Time,Estadio Monterrey,Guadalupe,5,1
+998,2026,"Canada, Mexico, United States",2026-06-20,Group Stage,Matchday 10,Group F,Netherlands,Sweden,2,0,5,1,,,,,Netherlands,Normal Time,NRG Stadium,Houston,5,1
+999,2026,"Canada, Mexico, United States",2026-06-20,Group Stage,Matchday 10,Group F,Tunisia,Japan,0,2,0,4,,,,,Japan,Normal Time,Estadio Monterrey,Guadalupe,0,4
+1000,2026,"Canada, Mexico, United States",2026-06-25,Group Stage,Matchday 15,Group F,Japan,Sweden,0,0,1,1,,,,,Draw,Draw,AT&T Stadium,Arlington,1,1
+1001,2026,"Canada, Mexico, United States",2026-06-25,Group Stage,Matchday 15,Group F,Tunisia,Netherlands,0,2,1,3,,,,,Netherlands,Normal Time,Arrowhead Stadium,Kansas City,1,3
+1002,2026,"Canada, Mexico, United States",2026-06-15,Group Stage,Matchday 5,Group G,Belgium,Egypt,0,1,1,1,,,,,Draw,Draw,Lumen Field,Seattle,1,1
+1003,2026,"Canada, Mexico, United States",2026-06-15,Group Stage,Matchday 5,Group G,Iran,New Zealand,1,1,2,2,,,,,Draw,Draw,SoFi Stadium,Inglewood,2,2
+1004,2026,"Canada, Mexico, United States",2026-06-21,Group Stage,Matchday 11,Group G,Belgium,Iran,0,0,0,0,,,,,Draw,Draw,SoFi Stadium,Inglewood,0,0
+1005,2026,"Canada, Mexico, United States",2026-06-21,Group Stage,Matchday 11,Group G,New Zealand,Egypt,1,0,1,3,,,,,Egypt,Normal Time,BC Place,Vancouver,1,3
+1006,2026,"Canada, Mexico, United States",2026-06-26,Group Stage,Matchday 16,Group G,Egypt,Iran,1,1,1,1,,,,,Draw,Draw,Lumen Field,Seattle,1,1
+1007,2026,"Canada, Mexico, United States",2026-06-26,Group Stage,Matchday 16,Group G,New Zealand,Belgium,0,1,1,5,,,,,Belgium,Normal Time,BC Place,Vancouver,1,5
+1008,2026,"Canada, Mexico, United States",2026-06-15,Group Stage,Matchday 5,Group H,Spain,Cape Verde,0,0,0,0,,,,,Draw,Draw,Mercedes-Benz Stadium,Atlanta,0,0
+1009,2026,"Canada, Mexico, United States",2026-06-15,Group Stage,Matchday 5,Group H,Saudi Arabia,Uruguay,1,0,1,1,,,,,Draw,Draw,Hard Rock Stadium,Miami Gardens,1,1
+1010,2026,"Canada, Mexico, United States",2026-06-21,Group Stage,Matchday 11,Group H,Spain,Saudi Arabia,3,0,4,0,,,,,Spain,Normal Time,Mercedes-Benz Stadium,Atlanta,4,0
+1011,2026,"Canada, Mexico, United States",2026-06-21,Group Stage,Matchday 11,Group H,Uruguay,Cape Verde,2,1,2,2,,,,,Draw,Draw,Hard Rock Stadium,Miami Gardens,2,2
+1012,2026,"Canada, Mexico, United States",2026-06-26,Group Stage,Matchday 16,Group H,Cape Verde,Saudi Arabia,0,0,0,0,,,,,Draw,Draw,NRG Stadium,Houston,0,0
+1013,2026,"Canada, Mexico, United States",2026-06-26,Group Stage,Matchday 16,Group H,Uruguay,Spain,0,1,0,1,,,,,Spain,Normal Time,Estadio Guadalajara,Zapopan,0,1
+1014,2026,"Canada, Mexico, United States",2026-06-16,Group Stage,Matchday 6,Group I,France,Senegal,0,0,3,1,,,,,France,Normal Time,MetLife Stadium,East Rutherford,3,1
+1015,2026,"Canada, Mexico, United States",2026-06-16,Group Stage,Matchday 6,Group I,Iraq,Norway,1,2,1,4,,,,,Norway,Normal Time,Gillette Stadium,Foxborough,1,4
+1016,2026,"Canada, Mexico, United States",2026-06-22,Group Stage,Matchday 12,Group I,France,Iraq,1,0,3,0,,,,,France,Normal Time,Lincoln Financial Field,Philadelphia,3,0
+1017,2026,"Canada, Mexico, United States",2026-06-22,Group Stage,Matchday 12,Group I,Norway,Senegal,1,0,3,2,,,,,Norway,Normal Time,MetLife Stadium,East Rutherford,3,2
+1018,2026,"Canada, Mexico, United States",2026-06-26,Group Stage,Matchday 16,Group I,Norway,France,1,3,1,4,,,,,France,Normal Time,Gillette Stadium,Foxborough,1,4
+1019,2026,"Canada, Mexico, United States",2026-06-26,Group Stage,Matchday 16,Group I,Senegal,Iraq,1,0,5,0,,,,,Senegal,Normal Time,BMO Field,Toronto,5,0
+1020,2026,"Canada, Mexico, United States",2026-06-16,Group Stage,Matchday 6,Group J,Argentina,Algeria,1,0,3,0,,,,,Argentina,Normal Time,Arrowhead Stadium,Kansas City,3,0
+1021,2026,"Canada, Mexico, United States",2026-06-16,Group Stage,Matchday 6,Group J,Austria,Jordan,1,0,3,1,,,,,Austria,Normal Time,Levi's Stadium,Santa Clara,3,1
+1022,2026,"Canada, Mexico, United States",2026-06-22,Group Stage,Matchday 12,Group J,Argentina,Austria,1,0,2,0,,,,,Argentina,Normal Time,AT&T Stadium,Arlington,2,0
+1023,2026,"Canada, Mexico, United States",2026-06-22,Group Stage,Matchday 12,Group J,Jordan,Algeria,1,0,1,2,,,,,Algeria,Normal Time,Levi's Stadium,Santa Clara,1,2
+1024,2026,"Canada, Mexico, United States",2026-06-27,Group Stage,Matchday 17,Group J,Algeria,Austria,1,1,3,3,,,,,Draw,Draw,Arrowhead Stadium,Kansas City,3,3
+1025,2026,"Canada, Mexico, United States",2026-06-27,Group Stage,Matchday 17,Group J,Jordan,Argentina,0,2,1,3,,,,,Argentina,Normal Time,AT&T Stadium,Arlington,1,3
+1026,2026,"Canada, Mexico, United States",2026-06-17,Group Stage,Matchday 7,Group K,Portugal,DR Congo,1,1,1,1,,,,,Draw,Draw,NRG Stadium,Houston,1,1
+1027,2026,"Canada, Mexico, United States",2026-06-17,Group Stage,Matchday 7,Group K,Uzbekistan,Colombia,0,1,1,3,,,,,Colombia,Normal Time,Estadio Azteca,Mexico City,1,3
+1028,2026,"Canada, Mexico, United States",2026-06-23,Group Stage,Matchday 13,Group K,Portugal,Uzbekistan,3,0,5,0,,,,,Portugal,Normal Time,NRG Stadium,Houston,5,0
+1029,2026,"Canada, Mexico, United States",2026-06-23,Group Stage,Matchday 13,Group K,Colombia,DR Congo,0,0,1,0,,,,,Colombia,Normal Time,Estadio Guadalajara,Zapopan,1,0
+1030,2026,"Canada, Mexico, United States",2026-06-27,Group Stage,Matchday 17,Group K,Colombia,Portugal,0,0,0,0,,,,,Draw,Draw,Hard Rock Stadium,Miami Gardens,0,0
+1031,2026,"Canada, Mexico, United States",2026-06-27,Group Stage,Matchday 17,Group K,DR Congo,Uzbekistan,0,1,3,1,,,,,DR Congo,Normal Time,Mercedes-Benz Stadium,Atlanta,3,1
+1032,2026,"Canada, Mexico, United States",2026-06-17,Group Stage,Matchday 7,Group L,England,Croatia,2,2,4,2,,,,,England,Normal Time,AT&T Stadium,Arlington,4,2
+1033,2026,"Canada, Mexico, United States",2026-06-17,Group Stage,Matchday 7,Group L,Ghana,Panama,0,0,1,0,,,,,Ghana,Normal Time,BMO Field,Toronto,1,0
+1034,2026,"Canada, Mexico, United States",2026-06-23,Group Stage,Matchday 13,Group L,England,Ghana,0,0,0,0,,,,,Draw,Draw,Gillette Stadium,Foxborough,0,0
+1035,2026,"Canada, Mexico, United States",2026-06-23,Group Stage,Matchday 13,Group L,Panama,Croatia,0,0,0,1,,,,,Croatia,Normal Time,BMO Field,Toronto,0,1
+1036,2026,"Canada, Mexico, United States",2026-06-27,Group Stage,Matchday 17,Group L,Panama,England,0,0,0,2,,,,,England,Normal Time,MetLife Stadium,East Rutherford,0,2
+1037,2026,"Canada, Mexico, United States",2026-06-27,Group Stage,Matchday 17,Group L,Croatia,Ghana,1,0,2,1,,,,,Croatia,Normal Time,Lincoln Financial Field,Philadelphia,2,1
+1038,2026,"Canada, Mexico, United States",2026-06-28,Round of 32,Round of 32,,South Africa,Canada,0,0,0,1,,,,,Canada,Normal Time,SoFi Stadium,Inglewood,0,1
+1039,2026,"Canada, Mexico, United States",2026-06-29,Round of 32,Round of 32,,Germany,Paraguay,0,1,1,1,1,1,3,4,Paraguay,Penalties,Gillette Stadium,Foxborough,1,1
+1040,2026,"Canada, Mexico, United States",2026-06-29,Round of 32,Round of 32,,Netherlands,Morocco,0,0,1,1,1,1,2,3,Morocco,Penalties,Estadio Monterrey,Guadalupe,1,1
+1041,2026,"Canada, Mexico, United States",2026-06-29,Round of 32,Round of 32,,Brazil,Japan,0,1,2,1,,,,,Brazil,Normal Time,NRG Stadium,Houston,2,1
+1042,2026,"Canada, Mexico, United States",2026-06-30,Round of 32,Round of 32,,France,Sweden,1,0,3,0,,,,,France,Normal Time,MetLife Stadium,East Rutherford,3,0
+1043,2026,"Canada, Mexico, United States",2026-06-30,Round of 32,Round of 32,,Ivory Coast,Norway,0,1,1,2,,,,,Norway,Normal Time,AT&T Stadium,Arlington,1,2
+1044,2026,"Canada, Mexico, United States",2026-06-30,Round of 32,Round of 32,,Mexico,Ecuador,1,0,2,0,,,,,Mexico,Normal Time,Estadio Azteca,Mexico City,2,0
+1045,2026,"Canada, Mexico, United States",2026-07-01,Round of 32,Round of 32,,England,DR Congo,0,1,2,1,,,,,England,Normal Time,Mercedes-Benz Stadium,Atlanta,2,1
+1046,2026,"Canada, Mexico, United States",2026-07-01,Round of 32,Round of 32,,USA,Bosnia & Herzegovina,1,0,2,0,,,,,USA,Normal Time,Levi's Stadium,Santa Clara,2,0
+1047,2026,"Canada, Mexico, United States",2026-07-01,Round of 32,Round of 32,,Belgium,Senegal,0,1,2,2,3,2,,,Belgium,Extra Time,Lumen Field,Seattle,3,2
+1048,2026,"Canada, Mexico, United States",2026-07-02,Round of 32,Round of 32,,Portugal,Croatia,0,0,2,1,,,,,Portugal,Normal Time,BMO Field,Toronto,2,1
+1049,2026,"Canada, Mexico, United States",2026-07-02,Round of 32,Round of 32,,Spain,Austria,1,0,3,0,,,,,Spain,Normal Time,SoFi Stadium,Inglewood,3,0
+1050,2026,"Canada, Mexico, United States",2026-07-02,Round of 32,Round of 32,,Switzerland,Algeria,1,0,2,0,,,,,Switzerland,Normal Time,BC Place,Vancouver,2,0
+1051,2026,"Canada, Mexico, United States",2026-07-03,Round of 32,Round of 32,,Argentina,Cape Verde,1,0,1,1,3,2,,,Argentina,Extra Time,Hard Rock Stadium,Miami Gardens,3,2
+1052,2026,"Canada, Mexico, United States",2026-07-03,Round of 32,Round of 32,,Colombia,Ghana,1,0,1,0,,,,,Colombia,Normal Time,Arrowhead Stadium,Kansas City,1,0
+1053,2026,"Canada, Mexico, United States",2026-07-03,Round of 32,Round of 32,,Australia,Egypt,0,1,1,1,1,1,2,4,Egypt,Penalties,AT&T Stadium,Arlington,1,1
+1054,2026,"Canada, Mexico, United States",2026-07-04,Round of 16,Round of 16,,Paraguay,France,0,0,0,1,,,,,France,Normal Time,Lincoln Financial Field,Philadelphia,0,1
+1055,2026,"Canada, Mexico, United States",2026-07-04,Round of 16,Round of 16,,Canada,Morocco,0,0,0,3,,,,,Morocco,Normal Time,NRG Stadium,Houston,0,3
+1056,2026,"Canada, Mexico, United States",2026-07-05,Round of 16,Round of 16,,Brazil,Norway,0,0,1,2,,,,,Norway,Normal Time,MetLife Stadium,East Rutherford,1,2
+1057,2026,"Canada, Mexico, United States",2026-07-05,Round of 16,Round of 16,,Mexico,England,1,2,2,3,,,,,England,Normal Time,Estadio Azteca,Mexico City,2,3
+1058,2026,"Canada, Mexico, United States",2026-07-06,Round of 16,Round of 16,,Portugal,Spain,0,0,0,1,,,,,Spain,Normal Time,AT&T Stadium,Arlington,0,1
+1059,2026,"Canada, Mexico, United States",2026-07-06,Round of 16,Round of 16,,USA,Belgium,1,2,1,4,,,,,Belgium,Normal Time,Lumen Field,Seattle,1,4
+1060,2026,"Canada, Mexico, United States",2026-07-07,Round of 16,Round of 16,,Argentina,Egypt,0,1,3,2,,,,,Argentina,Normal Time,Mercedes-Benz Stadium,Atlanta,3,2
+1061,2026,"Canada, Mexico, United States",2026-07-07,Round of 16,Round of 16,,Switzerland,Colombia,0,0,0,0,0,0,4,3,Switzerland,Penalties,BC Place,Vancouver,0,0
+1062,2026,"Canada, Mexico, United States",2026-07-09,Quarter-final,Quarter-finals,,France,Morocco,0,0,2,0,,,,,France,Normal Time,Gillette Stadium,Foxborough,2,0
+1063,2026,"Canada, Mexico, United States",2026-07-10,Quarter-final,Quarter-finals,,Spain,Belgium,1,1,2,1,,,,,Spain,Normal Time,SoFi Stadium,Inglewood,2,1
+1064,2026,"Canada, Mexico, United States",2026-07-11,Quarter-final,Quarter-finals,,Norway,England,1,1,1,1,1,2,,,England,Extra Time,Hard Rock Stadium,Miami Gardens,1,2
+1065,2026,"Canada, Mexico, United States",2026-07-11,Quarter-final,Quarter-finals,,Argentina,Switzerland,1,0,1,1,3,1,,,Argentina,Extra Time,Arrowhead Stadium,Kansas City,3,1
+1066,2026,"Canada, Mexico, United States",2026-07-14,Semi-final,Semi-finals,,France,Spain,0,1,0,2,,,,,Spain,Normal Time,AT&T Stadium,Arlington,0,2
+1067,2026,"Canada, Mexico, United States",2026-07-15,Semi-final,Semi-finals,,England,Argentina,0,0,1,2,,,,,Argentina,Normal Time,Mercedes-Benz Stadium,Atlanta,1,2
+1068,2026,"Canada, Mexico, United States",2026-07-18,Third Place Play-off,Match for third place,,France,England,0,4,4,6,,,,,England,Normal Time,Hard Rock Stadium,Miami Gardens,4,6
+1069,2026,"Canada, Mexico, United States",2026-07-19,Final,Final,,Spain,Argentina,0,0,0,0,1,0,,,Spain,Extra Time,MetLife Stadium,East Rutherford,1,0
diff --git a/wayang-jdbc/demo/data/heart_disease_risk_2026.csv b/wayang-jdbc/demo/data/heart_disease_risk_2026.csv
new file mode 100644
index 000000000..4cc797632
--- /dev/null
+++ b/wayang-jdbc/demo/data/heart_disease_risk_2026.csv
@@ -0,0 +1,9001 @@
+patient_id,age,sex,resting_bp_systolic,resting_bp_diastolic,cholesterol_total,hdl,ldl,triglycerides,fasting_blood_sugar,hba1c,bmi,resting_heart_rate,max_heart_rate_achieved,chest_pain_type,exercise_induced_angina,st_depression,family_history,smoker_status,alcohol_units_per_week,exercise_minutes_per_week,sleep_hours,stress_score,wearable_owner,daily_steps,diet_quality_score,has_heart_disease
+1,44,Male,117,74,193,57,106,119,112,5.2,26.5,74,165,Asymptomatic,False,0.3,False,Never,2.9,86,5.4,19.8,True,7731,62.9,0
+2,57,Male,139,94,185,69,110,35,114,5.9,20.8,63,150,Non-Anginal Pain,False,2.1,False,Never,3.0,132,4.3,45.8,True,2629,74.6,1
+3,29,Male,128,78,197,52,108,157,95,5.5,24.5,81,210,Asymptomatic,False,0.8,False,Current,3.5,128,5.1,17.7,True,9290,65.7,0
+4,72,Male,132,86,197,59,104,143,92,4.8,27.3,93,137,Asymptomatic,False,2.1,False,Never,2.7,18,6.8,63.6,True,7373,48.5,1
+5,62,Female,116,75,154,65,75,104,135,6.2,26.0,86,181,Atypical Angina,True,1.3,True,Former,3.3,24,8.2,58.7,False,6331,47.3,1
+6,50,Female,122,71,147,46,101,41,134,5.9,28.9,88,185,Atypical Angina,False,0.8,True,Former,3.3,190,5.9,55.1,False,6857,82.6,0
+7,50,Female,133,85,227,63,124,194,109,5.5,26.0,80,182,Non-Anginal Pain,False,2.1,False,Never,5.1,91,8.2,82.2,True,8466,63.7,0
+8,58,Female,133,81,141,54,99,40,118,5.8,24.7,71,135,Asymptomatic,True,0.9,True,Current,2.5,92,6.4,45.5,True,6769,42.4,1
+9,51,Female,121,64,219,84,104,85,136,5.7,20.8,96,190,Asymptomatic,False,0.4,False,Former,2.8,266,9.0,65.6,True,7648,53.5,0
+10,51,Male,126,77,172,50,104,115,132,6.3,19.5,76,151,Asymptomatic,False,0.3,True,Former,6.1,89,9.1,58.7,False,7531,53.2,0
+11,63,Female,123,87,164,65,81,136,170,6.9,19.2,83,125,Asymptomatic,True,1.2,False,Never,4.7,155,7.2,54.0,False,3440,62.7,1
+12,61,Female,112,77,230,65,148,105,101,5.5,22.3,78,145,Asymptomatic,True,0.4,False,Never,14.1,197,5.4,32.5,True,6443,80.9,0
+13,53,Female,110,81,166,52,104,149,103,5.3,22.7,79,181,Atypical Angina,False,1.6,False,Never,6.8,227,7.6,36.7,True,7583,60.0,0
+14,53,Male,131,70,192,63,92,127,107,4.9,28.0,78,173,Asymptomatic,False,1.0,False,Never,14.6,84,5.1,52.1,True,8539,80.2,0
+15,56,Female,148,92,177,41,107,102,78,5.7,28.0,90,167,Asymptomatic,False,0.2,False,Never,8.7,70,7.1,51.3,True,4864,64.8,0
+16,46,Male,134,77,105,46,36,118,84,4.4,25.6,77,178,Asymptomatic,False,0.6,False,Never,1.8,196,6.8,39.5,True,9626,78.6,0
+17,49,Male,150,96,158,47,81,214,136,6.0,22.7,82,180,Non-Anginal Pain,False,0.3,False,Former,15.3,165,7.1,48.3,False,9860,50.9,0
+18,61,Female,138,95,272,44,191,141,155,7.2,31.3,74,121,Asymptomatic,True,0.1,False,Never,0.4,103,7.7,25.8,False,4593,46.7,1
+19,52,Female,126,80,162,67,65,208,87,4.7,22.8,83,176,Asymptomatic,False,1.1,False,Former,14.0,162,5.6,49.9,False,5681,52.9,0
+20,36,Female,102,62,170,86,66,86,64,4.4,15.9,63,209,Asymptomatic,False,1.1,False,Never,1.7,266,5.3,32.2,False,7563,73.1,0
+21,48,Female,126,87,232,58,134,232,124,5.5,22.3,78,157,Non-Anginal Pain,False,1.4,False,Current,10.5,116,7.9,71.4,False,6483,63.6,1
+22,63,Male,126,87,229,47,148,191,88,4.9,21.1,80,151,Asymptomatic,True,0.4,False,Former,2.3,107,7.3,40.5,False,5408,64.5,0
+23,51,Male,129,81,149,53,88,82,183,7.2,27.4,66,176,Atypical Angina,False,0.7,False,Never,7.6,191,7.2,39.6,False,5714,59.7,0
+24,52,Female,126,77,134,77,58,56,121,5.9,20.5,65,158,Non-Anginal Pain,False,0.9,False,Former,3.7,206,8.1,46.6,True,9080,28.1,0
+25,62,Male,145,99,238,57,147,210,84,4.9,29.9,81,129,Asymptomatic,True,2.9,True,Never,4.7,85,6.1,35.7,False,4423,57.0,1
+26,78,Male,129,73,192,61,96,157,143,7.0,19.2,80,164,Non-Anginal Pain,False,0.6,True,Never,3.4,251,9.2,55.3,True,6652,73.1,0
+27,45,Female,133,81,199,50,108,199,138,6.2,27.5,76,173,Atypical Angina,False,0.3,False,Never,3.6,178,7.2,13.1,True,4106,32.0,0
+28,72,Male,125,76,138,64,62,153,146,6.1,25.8,78,157,Non-Anginal Pain,False,0.7,False,Never,16.7,170,5.5,11.2,True,8068,56.6,0
+29,38,Male,135,75,145,39,84,119,134,6.0,22.8,87,206,Asymptomatic,False,3.0,False,Never,2.1,165,6.7,44.0,False,4825,59.9,0
+30,56,Male,127,80,196,56,100,209,103,4.3,20.1,62,180,Asymptomatic,False,0.5,False,Never,18.3,167,8.4,17.5,False,5064,85.6,0
+31,39,Female,125,91,204,61,97,183,60,4.0,20.8,88,182,Atypical Angina,False,0.0,False,Current,0.9,146,5.9,45.5,False,5418,24.5,0
+32,72,Male,124,87,204,68,91,227,153,6.7,22.1,82,149,Typical Angina,True,0.6,False,Never,16.6,104,6.3,54.3,False,7079,45.3,1
+33,65,Male,143,76,130,39,79,85,95,5.1,25.9,87,132,Asymptomatic,False,1.2,False,Never,4.5,135,8.4,60.0,True,9496,46.1,1
+34,69,Female,123,84,178,57,116,111,94,5.2,18.9,65,123,Non-Anginal Pain,False,1.0,True,Former,1.9,68,8.3,55.2,True,5912,58.8,0
+35,42,Female,121,75,193,73,93,164,103,6.0,26.9,69,194,Asymptomatic,False,1.4,False,Former,11.7,179,7.3,45.6,True,8685,49.8,0
+36,63,Female,118,66,141,39,82,149,108,5.4,28.6,63,158,Atypical Angina,False,0.7,True,Never,1.6,114,7.3,64.3,False,5478,57.9,0
+37,47,Male,131,73,249,50,155,222,118,6.4,30.1,77,154,Atypical Angina,True,0.9,False,Never,18.5,94,8.4,60.2,False,1639,57.3,0
+38,48,Female,132,92,231,71,107,237,144,6.5,24.1,63,168,Asymptomatic,False,0.5,True,Former,18.9,180,7.2,47.6,False,7206,50.1,0
+39,61,Male,106,65,196,41,106,115,164,7.5,26.3,100,160,Asymptomatic,True,0.4,False,Former,3.0,120,10.0,64.4,False,7174,89.2,1
+40,65,Female,136,89,179,43,102,121,124,6.0,29.4,84,139,Non-Anginal Pain,False,1.9,False,Current,6.8,178,4.9,35.7,False,5151,62.0,1
+41,57,Female,127,79,172,32,121,122,142,6.3,24.8,82,177,Asymptomatic,False,1.0,False,Never,0.3,171,6.7,50.5,False,6841,57.4,0
+42,46,Male,103,59,237,48,153,154,138,6.6,22.6,81,210,Atypical Angina,False,0.2,False,Former,2.0,221,7.9,10.4,False,3549,47.3,0
+43,43,Female,125,75,215,70,126,129,114,5.2,25.2,75,194,Non-Anginal Pain,False,1.6,False,Never,7.7,176,5.6,48.5,True,5420,34.0,0
+44,73,Female,138,102,142,46,78,98,106,5.4,21.5,81,132,Asymptomatic,False,1.2,False,Never,6.3,135,5.9,55.7,True,3512,61.0,0
+45,62,Female,137,74,263,71,161,93,77,4.6,28.6,83,130,Asymptomatic,False,2.0,True,Current,7.7,176,7.1,70.5,True,9406,64.2,1
+46,63,Female,135,79,239,68,128,255,119,5.6,28.2,70,169,Atypical Angina,False,1.2,True,Former,9.9,203,8.0,25.2,False,7474,45.8,0
+47,82,Female,134,75,188,65,97,159,115,5.7,22.8,73,132,Atypical Angina,False,1.1,True,Never,1.4,167,7.2,54.2,True,9456,44.0,0
+48,43,Female,132,88,149,38,101,108,96,5.1,29.2,82,173,Non-Anginal Pain,True,0.4,False,Former,2.9,134,5.5,72.4,True,7278,62.7,1
+49,87,Female,137,94,214,69,121,155,141,6.3,24.8,72,140,Asymptomatic,True,3.1,True,Former,5.6,122,5.8,44.4,True,6277,78.6,1
+50,90,Female,143,95,197,70,99,169,106,5.0,16.4,90,140,Atypical Angina,False,0.7,False,Former,24.6,169,7.1,70.5,False,5986,49.8,1
+51,75,Female,141,86,259,56,181,122,135,5.9,23.5,82,109,Asymptomatic,False,0.7,False,Never,0.3,125,7.7,49.8,True,6994,51.0,1
+52,65,Male,118,72,165,66,55,197,77,4.8,16.4,70,153,Atypical Angina,False,0.2,True,Never,14.3,139,7.8,67.3,False,3561,66.4,0
+53,45,Female,113,70,173,72,83,144,80,4.8,24.1,84,174,Non-Anginal Pain,False,0.2,False,Never,3.6,111,7.7,80.6,True,8661,81.2,0
+54,67,Female,118,73,218,90,92,192,96,5.6,19.8,80,153,Asymptomatic,False,0.6,False,Never,3.0,244,9.1,26.3,True,5982,72.7,0
+55,48,Male,137,84,186,53,108,211,159,7.0,28.8,75,166,Asymptomatic,False,0.9,False,Never,6.9,178,6.4,52.7,False,4894,57.9,0
+56,54,Male,139,90,190,44,98,188,126,5.1,26.4,72,180,Typical Angina,False,0.2,False,Never,5.8,56,6.4,38.0,True,5451,55.8,0
+57,50,Male,155,107,170,49,97,202,126,6.1,28.6,80,175,Non-Anginal Pain,True,0.7,False,Never,11.0,146,6.7,43.7,True,9740,70.0,0
+58,58,Female,153,96,190,57,114,120,82,5.2,26.2,76,171,Non-Anginal Pain,False,0.3,False,Current,1.1,142,7.1,74.4,True,10719,77.6,1
+59,71,Male,133,71,157,47,90,196,122,5.4,24.2,89,132,Asymptomatic,True,0.1,False,Former,1.5,32,8.9,45.6,False,1009,49.0,1
+60,47,Male,124,83,182,55,96,161,147,6.9,27.6,77,145,Typical Angina,True,0.3,False,Never,5.4,261,6.2,46.8,True,8530,93.2,1
+61,41,Male,115,64,135,51,45,163,118,5.6,28.0,84,144,Asymptomatic,True,1.5,False,Never,6.3,89,7.8,24.8,False,3746,55.6,0
+62,41,Female,122,68,150,45,62,180,108,5.9,25.0,72,200,Atypical Angina,True,0.3,True,Former,1.9,168,6.1,29.5,False,6575,38.2,0
+63,41,Male,111,72,231,58,136,164,104,5.0,24.1,80,208,Asymptomatic,False,0.0,False,Never,7.3,78,6.7,60.5,False,3470,44.6,0
+64,35,Female,116,76,262,65,136,244,140,5.5,31.1,76,193,Asymptomatic,False,1.4,True,Never,0.0,155,7.2,48.0,False,5293,33.9,0
+65,42,Male,102,67,185,90,61,144,141,6.0,15.0,58,204,Asymptomatic,False,0.3,True,Current,1.5,279,6.9,39.4,True,10306,53.4,0
+66,71,Female,139,85,203,57,127,122,124,6.2,28.6,83,152,Non-Anginal Pain,True,3.0,False,Never,2.6,202,6.1,47.0,True,5469,53.9,1
+67,46,Male,144,83,158,48,64,190,94,4.6,20.9,90,207,Asymptomatic,True,0.9,True,Never,25.8,177,8.0,80.3,True,4468,61.5,0
+68,57,Male,137,89,222,58,154,134,134,6.1,24.2,82,148,Asymptomatic,False,1.1,True,Never,17.0,144,7.3,48.7,True,7402,49.6,0
+69,38,Male,113,65,180,36,116,121,143,6.8,24.1,75,170,Typical Angina,False,3.6,False,Never,5.6,41,6.6,45.1,False,4544,42.5,1
+70,56,Female,125,84,167,57,94,123,105,5.3,17.2,88,150,Asymptomatic,False,0.2,False,Current,1.2,171,8.5,38.0,True,7252,48.3,0
+71,31,Female,131,79,208,72,111,132,113,5.9,24.0,73,184,Asymptomatic,False,1.2,False,Never,3.7,101,6.8,63.6,True,6951,77.4,0
+72,45,Male,139,89,180,32,128,93,98,5.6,26.3,87,169,Non-Anginal Pain,False,1.4,True,Never,9.7,163,7.3,33.3,True,8326,68.0,0
+73,83,Male,148,98,161,35,112,124,93,5.2,24.7,72,121,Non-Anginal Pain,True,0.1,False,Former,2.2,141,5.6,70.5,False,7318,84.2,1
+74,46,Male,136,90,212,47,138,100,82,4.8,19.3,78,166,Non-Anginal Pain,False,1.2,False,Never,3.6,162,5.8,47.2,False,4685,72.5,0
+75,69,Male,131,90,197,38,117,183,128,5.9,28.4,70,169,Asymptomatic,False,0.5,False,Never,6.8,111,8.2,56.0,False,6717,31.7,0
+76,60,Male,156,92,163,56,56,290,108,5.5,28.1,87,157,Atypical Angina,False,2.6,True,Never,13.2,157,8.2,40.5,False,4347,49.1,0
+77,52,Male,124,72,178,63,84,129,132,6.2,27.1,85,177,Asymptomatic,False,0.7,False,Never,2.3,207,7.9,41.9,True,9628,73.6,0
+78,46,Male,140,95,173,42,93,171,114,5.7,26.3,83,205,Asymptomatic,False,0.2,True,Never,15.7,117,6.1,57.9,True,3751,76.8,0
+79,71,Female,148,92,206,61,120,73,162,6.5,21.9,76,150,Asymptomatic,False,0.7,True,Current,3.1,110,7.6,44.7,False,2404,57.4,0
+80,52,Male,126,86,213,67,128,112,156,7.2,26.8,80,182,Asymptomatic,True,0.6,False,Never,9.8,96,6.4,53.2,True,7284,51.8,0
+81,74,Female,142,80,190,53,104,111,100,5.3,24.4,74,136,Asymptomatic,False,2.2,False,Current,0.3,239,9.3,34.7,True,5383,71.5,0
+82,45,Male,124,74,153,58,78,95,112,5.5,21.4,89,182,Atypical Angina,False,0.5,True,Current,2.3,84,6.8,29.4,True,8516,44.6,1
+83,55,Female,113,71,208,66,88,239,84,4.7,22.6,79,166,Non-Anginal Pain,False,0.2,True,Former,4.0,194,6.6,57.6,False,5825,59.0,0
+84,60,Male,119,81,192,54,117,158,122,6.0,17.3,69,186,Non-Anginal Pain,False,1.3,False,Never,1.9,178,8.6,23.6,False,3984,73.1,0
+85,59,Female,143,101,216,71,107,189,133,6.0,31.4,77,141,Atypical Angina,False,3.8,False,Never,3.2,196,7.8,31.3,False,7782,57.4,1
+86,38,Female,124,85,166,66,74,165,107,5.2,25.8,81,184,Non-Anginal Pain,False,0.2,False,Never,5.5,73,6.3,39.6,False,4761,44.3,0
+87,45,Male,126,74,170,49,82,215,124,6.2,23.6,74,193,Typical Angina,False,0.1,True,Never,7.3,268,4.0,38.7,True,9865,60.7,0
+88,51,Male,116,72,227,58,148,111,135,6.5,20.8,87,166,Atypical Angina,False,0.3,True,Former,3.3,228,8.2,67.3,True,6216,56.1,0
+89,43,Female,107,66,156,43,98,70,124,5.8,27.1,81,201,Asymptomatic,False,0.6,False,Never,7.3,87,7.6,58.6,True,4938,70.2,0
+90,63,Female,113,82,207,48,119,188,103,5.2,25.3,93,149,Asymptomatic,True,0.4,False,Former,2.8,58,5.6,32.6,False,4082,62.6,1
+91,62,Male,148,86,134,31,67,157,160,7.6,31.2,84,118,Asymptomatic,True,2.8,False,Never,19.0,0,7.2,55.4,True,5831,61.5,1
+92,29,Male,116,56,190,59,98,172,117,5.9,26.5,85,195,Non-Anginal Pain,False,0.9,False,Current,5.0,168,6.5,20.2,True,7706,60.7,0
+93,31,Female,115,73,202,57,116,106,79,5.0,22.0,91,195,Non-Anginal Pain,False,0.8,False,Former,7.3,118,6.6,50.2,False,7412,74.9,0
+94,37,Male,121,92,132,57,35,93,103,5.4,21.2,80,192,Asymptomatic,False,0.3,False,Never,2.1,214,6.3,52.4,True,9985,57.5,0
+95,56,Female,137,86,175,59,100,153,101,4.6,20.6,77,167,Atypical Angina,False,0.6,False,Never,5.9,141,8.6,88.2,True,4963,69.0,0
+96,80,Male,121,79,289,66,178,263,143,6.5,21.3,83,132,Atypical Angina,False,1.0,False,Current,1.9,229,5.8,53.7,True,7844,78.6,0
+97,49,Male,127,79,182,58,55,314,97,4.9,19.7,89,193,Non-Anginal Pain,False,1.1,False,Current,33.2,181,4.1,49.6,False,7520,49.5,0
+98,57,Male,140,79,150,41,79,193,178,7.0,25.4,69,134,Asymptomatic,True,2.8,True,Never,5.1,86,7.8,81.9,True,8197,54.8,1
+99,40,Male,135,73,247,61,149,176,104,4.4,24.7,69,196,Asymptomatic,False,0.6,True,Former,2.6,189,8.3,33.4,False,5398,62.4,0
+100,40,Female,129,76,210,51,110,279,95,5.2,29.9,92,179,Non-Anginal Pain,False,0.2,False,Former,19.2,94,6.5,57.4,False,6911,41.8,0
+101,29,Male,98,60,214,52,142,103,124,5.3,28.5,85,167,Atypical Angina,False,1.9,False,Current,4.1,170,9.5,41.7,True,6424,52.4,1
+102,54,Female,130,82,197,68,97,109,137,6.2,30.2,82,154,Asymptomatic,False,0.7,False,Never,7.3,107,6.5,55.6,False,6714,45.8,0
+103,66,Female,129,75,217,51,147,139,124,6.3,27.6,84,140,Asymptomatic,True,1.5,False,Never,2.9,147,7.8,43.9,True,5643,62.9,1
+104,49,Male,134,84,180,51,101,170,135,6.4,32.2,62,185,Typical Angina,False,0.6,False,Never,3.2,202,7.8,41.9,True,7794,48.3,0
+105,72,Male,121,62,132,63,49,118,86,5.2,17.7,60,159,Atypical Angina,False,1.9,False,Never,4.8,154,7.9,36.5,False,4051,66.9,0
+106,57,Male,120,82,158,52,80,171,169,6.9,26.8,96,167,Asymptomatic,False,0.3,True,Never,11.7,0,7.8,25.9,True,4769,47.1,0
+107,54,Male,145,98,247,65,157,110,97,5.4,31.4,72,151,Asymptomatic,False,0.8,False,Former,2.6,158,7.5,40.6,False,3490,29.2,0
+108,61,Female,110,82,149,55,77,148,99,5.1,22.2,70,164,Non-Anginal Pain,True,0.1,False,Never,3.3,136,7.6,12.8,False,6953,21.2,0
+109,60,Male,119,74,194,40,111,212,72,4.6,28.5,83,151,Asymptomatic,True,1.8,False,Former,1.7,116,9.0,49.0,False,3222,63.4,1
+110,69,Female,140,99,175,46,81,203,107,5.6,30.5,88,109,Asymptomatic,False,1.6,False,Never,8.9,122,7.0,54.1,False,3448,35.6,1
+111,44,Male,107,65,224,46,120,202,89,5.3,22.7,81,195,Asymptomatic,False,0.2,False,Former,2.0,244,6.3,30.8,False,6194,79.4,0
+112,24,Male,112,75,159,52,58,264,111,5.6,22.6,77,210,Asymptomatic,False,0.7,False,Never,15.1,173,7.8,67.4,False,8550,48.9,0
+113,55,Female,143,101,202,52,108,167,143,6.4,23.4,76,161,Asymptomatic,True,3.7,False,Never,7.3,130,6.0,42.7,False,6604,66.8,1
+114,46,Female,116,69,171,59,82,158,103,5.5,29.8,98,184,Asymptomatic,False,0.5,False,Former,1.2,81,6.3,36.9,False,3527,38.3,0
+115,54,Female,138,91,171,69,81,35,113,6.2,27.9,93,162,Asymptomatic,False,0.1,False,Never,7.6,124,6.2,64.0,False,9015,68.5,0
+116,76,Female,141,97,233,43,154,183,112,5.9,31.9,79,168,Asymptomatic,False,0.2,False,Current,5.0,84,7.3,68.5,True,6176,37.4,0
+117,40,Female,113,74,174,52,82,159,111,5.2,18.1,86,172,Asymptomatic,False,1.4,False,Former,3.4,143,7.2,58.2,False,8240,83.6,0
+118,64,Female,134,81,182,52,95,228,133,5.6,30.3,94,150,Typical Angina,True,0.6,False,Never,8.5,34,7.8,57.8,False,7689,37.8,1
+119,66,Male,115,72,180,41,101,224,154,6.8,29.4,76,155,Non-Anginal Pain,False,0.3,False,Never,21.1,112,5.9,50.4,True,6597,67.7,1
+120,60,Male,131,76,149,48,83,113,135,6.5,28.5,85,120,Atypical Angina,True,1.0,False,Never,2.9,0,8.1,67.9,False,2307,48.9,1
+121,69,Male,133,84,192,49,114,127,118,5.8,29.2,89,154,Asymptomatic,False,0.5,True,Current,24.0,0,7.9,63.8,True,2791,46.1,0
+122,48,Female,103,69,214,56,112,182,151,6.2,23.3,82,160,Typical Angina,False,1.3,True,Former,7.5,187,6.8,52.6,True,3253,70.0,0
+123,45,Female,127,79,217,49,129,172,111,5.5,24.3,88,201,Asymptomatic,False,0.3,False,Current,0.8,94,6.5,28.3,True,11125,61.6,0
+124,68,Male,136,96,161,56,77,179,133,6.3,22.1,89,155,Asymptomatic,False,0.7,True,Former,1.8,78,7.7,61.0,False,1587,57.9,0
+125,63,Male,134,81,171,30,126,141,143,6.5,40.0,93,155,Typical Angina,True,0.0,False,Never,3.4,151,5.0,30.1,False,6740,61.0,1
+126,72,Male,153,90,243,55,148,235,146,6.5,29.7,89,127,Atypical Angina,True,0.5,False,Never,6.8,27,5.6,36.5,False,4505,39.6,1
+127,57,Male,102,68,177,48,113,90,121,5.7,17.7,69,176,Asymptomatic,False,0.8,False,Never,10.8,195,7.2,74.2,True,6960,53.4,0
+128,75,Male,168,99,200,51,114,109,120,5.6,32.8,79,141,Typical Angina,False,2.4,True,Former,5.9,160,6.8,32.6,True,3685,68.5,1
+129,50,Male,140,83,155,53,84,116,141,6.5,29.1,74,184,Asymptomatic,False,1.0,False,Never,7.0,71,5.6,48.0,False,5615,58.6,0
+130,40,Female,123,79,248,61,148,156,100,4.8,16.5,85,179,Atypical Angina,False,0.8,False,Current,5.6,161,7.7,37.2,False,8059,62.4,1
+131,28,Male,121,79,183,21,119,155,122,5.6,33.1,93,179,Atypical Angina,False,0.1,False,Current,15.0,120,8.2,39.7,True,2708,51.6,0
+132,40,Female,132,84,134,43,76,119,105,5.5,26.1,96,180,Atypical Angina,False,0.6,False,Former,3.9,0,6.9,56.9,False,5879,35.5,0
+133,65,Female,129,75,241,48,154,112,141,6.5,25.8,81,162,Asymptomatic,False,0.6,False,Former,2.8,94,6.7,36.5,False,2595,46.6,0
+134,35,Male,105,60,208,62,111,159,143,5.7,19.8,88,189,Typical Angina,False,1.4,False,Current,7.1,176,7.8,35.7,False,7470,67.2,0
+135,48,Female,109,72,146,42,67,211,164,7.1,24.6,91,184,Asymptomatic,False,0.7,True,Never,0.9,58,6.9,56.8,False,4136,43.5,0
+136,81,Male,123,85,249,61,149,155,155,7.4,22.4,85,134,Non-Anginal Pain,True,2.2,False,Never,9.5,108,6.4,47.2,False,6956,33.8,1
+137,65,Female,138,97,314,74,193,220,130,5.8,27.1,79,141,Asymptomatic,False,2.4,True,Former,0.3,99,6.5,45.1,True,9622,34.8,1
+138,77,Female,138,97,183,60,70,225,111,5.7,27.4,76,149,Asymptomatic,False,0.7,True,Former,12.4,64,7.5,16.0,False,7582,53.8,0
+139,41,Male,134,86,206,49,134,185,68,4.0,26.9,69,198,Atypical Angina,True,0.7,False,Never,2.2,103,7.9,42.4,True,7398,53.3,0
+140,22,Female,113,68,205,77,119,62,90,5.0,20.9,76,209,Asymptomatic,False,0.9,True,Never,5.4,214,6.9,51.6,False,6970,33.5,0
+141,74,Male,136,79,174,55,102,123,155,7.2,25.0,70,156,Asymptomatic,False,0.4,False,Former,1.7,119,6.3,6.9,False,4643,53.3,0
+142,36,Male,113,70,128,44,71,53,134,6.3,20.7,78,198,Asymptomatic,False,0.3,False,Current,4.5,182,8.1,53.0,True,4784,30.9,0
+143,55,Female,131,82,178,51,98,204,143,6.3,29.6,91,176,Asymptomatic,True,0.8,False,Current,7.1,90,7.6,43.2,True,8295,62.6,0
+144,57,Male,127,78,177,47,112,118,123,5.5,28.5,82,151,Asymptomatic,True,1.7,False,Never,7.8,46,7.1,62.6,True,2153,48.1,1
+145,42,Female,134,84,196,57,128,95,150,6.8,27.5,70,186,Non-Anginal Pain,False,1.7,False,Never,5.9,180,6.4,32.2,False,5337,62.4,0
+146,74,Female,130,72,226,60,118,245,113,5.4,27.1,76,135,Atypical Angina,False,0.4,False,Never,4.3,161,7.9,96.7,True,5822,52.7,0
+147,74,Male,139,86,217,43,132,157,109,5.2,22.1,73,106,Atypical Angina,False,1.1,False,Former,5.6,87,7.7,55.3,False,2985,47.2,1
+148,61,Male,141,97,182,40,120,120,106,5.4,32.4,96,136,Asymptomatic,True,1.1,False,Current,1.6,54,7.2,62.3,False,9236,55.5,1
+149,54,Female,139,90,185,79,86,135,122,5.7,26.9,91,173,Typical Angina,False,0.4,False,Former,6.5,195,6.7,62.8,True,5932,59.8,0
+150,56,Female,119,76,122,41,65,173,125,5.9,26.0,85,154,Non-Anginal Pain,True,1.7,True,Current,7.9,106,7.7,66.1,False,10736,15.9,1
+151,40,Female,124,82,214,52,154,45,93,4.7,26.1,72,175,Asymptomatic,True,0.1,False,Current,0.6,181,8.7,50.3,True,6839,53.3,0
+152,51,Male,124,70,188,35,113,162,148,6.8,31.3,91,164,Asymptomatic,False,0.3,False,Current,6.2,51,4.9,30.1,False,6574,51.0,1
+153,53,Female,125,88,192,61,105,143,115,5.8,27.4,80,171,Atypical Angina,False,0.1,True,Never,1.2,140,6.0,54.2,False,4151,88.5,0
+154,43,Female,127,84,198,44,139,92,121,5.6,28.9,78,186,Asymptomatic,False,0.3,True,Current,2.6,242,6.1,57.5,True,8554,67.7,0
+155,65,Male,130,95,188,47,112,155,144,6.5,29.4,85,141,Asymptomatic,False,0.4,False,Current,6.6,103,5.3,55.9,False,3467,36.1,1
+156,35,Male,147,89,224,73,98,184,141,7.0,26.3,75,176,Asymptomatic,False,1.1,False,Never,2.6,126,5.9,49.4,False,3980,46.6,1
+157,48,Female,119,80,220,60,129,132,139,6.3,30.0,91,183,Non-Anginal Pain,False,0.2,True,Never,0.6,169,6.8,46.3,True,6686,81.4,0
+158,25,Female,125,80,166,66,70,194,113,5.5,21.7,84,210,Typical Angina,False,0.8,False,Current,22.7,262,6.5,58.3,True,12857,59.6,0
+159,60,Male,155,89,106,46,50,90,136,5.9,26.9,84,108,Non-Anginal Pain,True,1.9,False,Former,9.3,87,6.5,68.0,False,2347,67.2,1
+160,64,Male,133,83,206,69,97,93,100,5.3,22.8,71,150,Atypical Angina,False,1.0,False,Former,2.5,158,4.8,20.4,False,9709,90.5,0
+161,62,Female,145,101,168,60,97,123,141,6.4,28.4,77,186,Asymptomatic,False,0.5,False,Never,6.5,279,8.3,33.0,True,7100,58.1,0
+162,90,Male,120,80,209,78,121,87,99,5.2,15.0,71,129,Asymptomatic,False,0.6,False,Former,12.2,206,7.8,42.1,True,3809,74.0,0
+163,66,Male,140,89,201,54,120,125,119,5.3,24.0,75,138,Typical Angina,True,0.5,False,Never,6.1,115,6.8,61.4,True,6950,85.2,1
+164,42,Male,127,88,144,49,72,169,108,5.2,22.6,82,178,Asymptomatic,True,2.2,True,Never,15.9,99,8.2,33.9,True,7044,60.3,0
+165,89,Male,153,86,229,56,127,206,146,6.8,27.1,81,118,Atypical Angina,False,0.3,False,Never,2.2,124,8.2,64.4,False,5567,69.9,1
+166,42,Male,127,91,153,59,85,70,98,5.6,21.4,63,172,Asymptomatic,False,0.3,False,Former,1.9,235,5.1,50.1,True,9687,53.4,0
+167,64,Male,140,89,184,43,106,226,146,6.7,18.6,63,138,Atypical Angina,False,4.3,True,Never,40.2,100,7.3,61.7,False,4717,80.9,1
+168,64,Female,134,92,171,64,113,77,125,6.1,23.5,82,158,Asymptomatic,False,0.2,False,Never,1.2,11,5.4,88.4,False,7435,59.5,0
+169,43,Female,113,62,161,47,77,137,107,5.0,23.9,76,200,Asymptomatic,False,0.4,False,Former,12.6,85,6.8,43.6,False,8363,82.4,0
+170,72,Male,135,86,205,63,116,155,104,5.0,29.3,78,134,Typical Angina,False,1.2,False,Never,9.4,33,7.0,57.3,False,3990,52.0,1
+171,59,Female,138,82,189,55,69,243,93,4.8,21.2,73,152,Asymptomatic,False,1.1,False,Never,1.2,84,6.2,36.0,True,4048,74.2,0
+172,61,Male,130,75,180,50,89,204,119,5.9,25.0,65,146,Asymptomatic,True,0.4,False,Former,8.5,175,7.5,16.6,False,6063,49.2,1
+173,45,Male,124,68,185,55,99,180,137,6.0,25.3,82,168,Atypical Angina,False,0.8,False,Never,3.7,147,7.2,63.6,False,7331,91.5,0
+174,71,Male,134,87,199,41,134,138,132,6.5,25.9,86,130,Asymptomatic,False,0.7,True,Former,3.9,116,8.2,46.6,True,8956,76.6,1
+175,43,Female,101,68,160,46,87,131,115,5.1,20.9,77,172,Non-Anginal Pain,False,3.1,False,Current,2.1,120,5.7,74.4,False,4668,41.6,0
+176,31,Female,106,81,173,52,105,62,140,6.3,27.2,81,210,Atypical Angina,False,0.6,False,Never,2.3,57,7.4,49.2,False,6239,60.9,0
+177,73,Male,135,98,181,56,79,247,118,5.9,25.4,88,143,Asymptomatic,False,1.3,False,Current,3.7,328,7.6,55.9,True,5525,39.1,1
+178,48,Female,117,79,148,62,62,106,122,6.2,23.9,84,183,Asymptomatic,True,0.1,False,Former,0.7,158,6.4,78.8,True,8548,53.9,0
+179,55,Female,147,93,177,48,87,173,113,5.6,27.8,78,178,Asymptomatic,True,1.0,True,Former,3.5,101,6.2,83.6,True,7371,67.4,0
+180,79,Female,164,103,158,65,67,109,113,5.9,30.1,66,151,Asymptomatic,False,0.3,False,Former,1.0,149,6.7,22.8,True,5938,62.3,0
+181,69,Female,134,83,146,52,65,165,113,5.9,20.1,83,174,Asymptomatic,True,2.0,False,Never,1.5,42,6.6,57.5,False,3170,43.9,0
+182,62,Male,131,91,134,38,67,118,92,4.7,17.5,89,169,Typical Angina,False,0.4,False,Never,14.7,163,7.5,66.9,False,6980,56.0,0
+183,68,Female,136,94,164,33,92,170,142,6.2,35.2,90,154,Asymptomatic,False,0.9,True,Former,10.0,136,5.6,61.0,True,6194,68.9,0
+184,45,Female,124,78,226,50,103,361,136,6.3,26.2,102,181,Asymptomatic,False,0.8,False,Never,34.1,130,7.0,53.5,False,6808,64.0,0
+185,64,Female,129,87,204,74,102,129,117,5.7,20.4,71,170,Non-Anginal Pain,False,0.4,False,Never,1.4,239,6.0,9.8,False,7293,37.4,0
+186,68,Female,157,99,186,53,106,150,111,5.2,27.4,88,148,Asymptomatic,False,0.0,False,Never,0.1,152,7.6,53.1,False,3955,47.4,0
+187,64,Male,128,89,224,55,123,175,111,6.1,26.7,85,175,Asymptomatic,False,0.6,False,Current,4.3,91,5.9,58.3,False,3573,78.3,0
+188,51,Female,136,102,212,76,101,186,137,6.7,28.9,85,170,Asymptomatic,False,0.6,True,Never,1.8,161,8.3,30.7,False,3955,58.2,0
+189,18,Male,116,69,172,53,79,205,123,6.1,25.3,66,210,Asymptomatic,False,0.0,True,Former,9.1,204,6.1,33.2,True,9376,55.1,0
+190,61,Male,128,72,218,44,121,222,126,5.8,31.0,86,139,Asymptomatic,True,1.5,False,Former,2.5,137,5.8,30.6,True,7410,57.9,1
+191,55,Male,113,61,163,50,78,167,104,5.7,21.9,93,178,Asymptomatic,False,0.0,False,Former,9.4,104,6.4,71.7,True,4823,50.6,0
+192,49,Male,125,64,139,67,35,160,117,5.7,16.3,94,183,Non-Anginal Pain,True,1.7,True,Never,2.0,138,7.8,41.7,False,6112,56.6,0
+193,64,Female,121,71,236,48,170,92,85,4.6,18.8,87,153,Asymptomatic,False,0.3,False,Never,1.5,113,6.3,56.4,False,4609,44.6,0
+194,57,Male,137,99,150,50,68,202,127,6.4,20.4,92,159,Typical Angina,False,0.8,True,Current,14.3,156,7.9,68.0,True,5184,72.5,1
+195,57,Female,101,72,177,64,94,149,131,6.1,19.7,75,134,Non-Anginal Pain,True,3.4,True,Never,1.3,19,7.2,38.3,True,6663,69.0,1
+196,35,Female,111,68,142,45,53,163,80,4.9,26.5,77,186,Non-Anginal Pain,False,0.5,False,Never,10.2,174,8.9,55.8,False,6295,66.3,0
+197,35,Female,119,78,152,51,75,189,136,6.1,27.3,73,163,Typical Angina,False,0.1,False,Never,3.8,101,5.6,21.3,False,4241,51.9,0
+198,59,Male,146,113,194,37,119,163,95,5.8,27.8,86,162,Atypical Angina,True,0.7,False,Never,2.0,128,5.8,36.1,True,9558,65.2,1
+199,55,Male,133,77,179,62,94,155,110,5.5,22.1,82,158,Asymptomatic,True,1.3,False,Former,1.6,196,5.0,58.8,False,3007,82.0,1
+200,56,Female,128,95,179,57,94,155,121,6.2,22.3,87,178,Atypical Angina,False,0.6,False,Current,0.5,120,7.9,40.5,False,6866,58.4,0
+201,56,Female,128,79,257,62,165,168,139,6.0,24.9,82,170,Atypical Angina,False,1.1,True,Never,3.2,157,7.3,51.2,True,4766,59.5,0
+202,59,Male,154,117,199,40,130,106,121,5.8,21.2,94,156,Asymptomatic,True,0.6,False,Never,5.5,68,5.8,69.2,True,4668,52.2,1
+203,54,Male,128,84,205,55,102,216,135,7.1,28.7,68,140,Asymptomatic,True,3.3,False,Never,8.1,0,8.1,48.5,False,3908,74.6,1
+204,56,Male,134,94,148,56,77,149,140,6.1,26.7,78,161,Asymptomatic,False,1.2,True,Never,1.7,174,8.9,66.8,True,9121,71.2,1
+205,57,Male,128,89,222,37,153,168,146,6.9,26.7,76,151,Asymptomatic,False,0.7,True,Current,11.6,182,5.3,33.4,False,4961,75.0,1
+206,66,Male,138,97,198,59,110,169,115,5.4,26.9,73,160,Asymptomatic,False,0.4,False,Never,4.0,157,4.7,55.4,False,8480,57.9,0
+207,47,Female,152,95,255,70,134,179,158,7.1,28.5,73,187,Asymptomatic,False,0.9,False,Former,0.5,183,8.4,81.3,True,6789,48.1,0
+208,64,Female,139,82,236,63,113,248,105,5.0,21.2,67,162,Atypical Angina,False,0.3,True,Never,12.7,141,5.3,7.6,True,5753,48.6,0
+209,62,Male,128,88,146,56,53,146,115,5.8,29.2,81,166,Non-Anginal Pain,False,3.2,True,Former,2.1,135,7.3,49.8,False,4707,55.6,0
+210,55,Female,131,90,206,52,126,166,108,5.1,22.3,90,179,Asymptomatic,False,0.0,True,Current,2.3,164,8.6,61.0,False,7441,76.3,0
+211,48,Female,119,73,201,78,123,35,106,5.6,21.0,71,171,Non-Anginal Pain,False,0.5,True,Former,10.4,95,8.4,33.6,False,3936,67.4,0
+212,59,Female,129,79,167,72,53,210,138,6.0,31.3,81,162,Non-Anginal Pain,False,0.3,False,Never,0.4,92,6.9,34.4,True,7875,86.2,0
+213,65,Male,160,100,183,79,93,100,80,4.6,21.1,88,150,Typical Angina,False,0.0,True,Former,8.6,221,6.1,34.7,True,3045,73.3,1
+214,40,Male,116,66,213,56,135,97,95,4.8,18.6,85,184,Typical Angina,False,0.3,False,Never,6.5,209,7.6,42.7,False,7786,74.4,0
+215,55,Female,131,83,220,49,134,145,113,5.8,30.1,77,151,Asymptomatic,True,1.9,False,Current,2.7,200,6.6,40.2,False,5962,55.7,1
+216,55,Male,142,90,204,71,96,162,121,5.6,20.2,80,171,Asymptomatic,False,0.2,False,Never,8.6,76,7.0,32.3,False,3326,51.3,0
+217,45,Male,127,70,193,30,132,174,139,6.4,25.1,82,176,Atypical Angina,True,1.7,False,Current,4.0,66,7.5,51.8,False,3750,44.9,1
+218,46,Male,148,98,168,54,77,248,119,5.9,27.6,91,160,Asymptomatic,False,1.3,True,Former,5.2,99,8.1,76.7,False,5798,55.0,0
+219,34,Male,121,80,242,54,145,135,120,5.6,30.6,84,184,Asymptomatic,False,0.8,False,Never,2.9,166,5.5,38.1,False,6733,53.3,0
+220,40,Female,115,76,152,81,49,105,108,5.8,24.8,95,176,Asymptomatic,False,1.1,False,Never,9.4,152,7.0,33.4,False,3503,77.1,0
+221,34,Female,129,77,211,55,130,106,143,6.9,25.1,82,194,Atypical Angina,False,0.1,False,Former,3.8,102,7.3,42.8,True,9427,56.9,0
+222,46,Male,137,101,236,81,109,163,112,5.4,25.6,82,177,Asymptomatic,False,1.3,True,Never,3.1,191,5.5,65.6,True,6898,55.3,0
+223,47,Female,123,80,165,79,50,163,97,5.3,24.5,67,176,Typical Angina,False,0.1,False,Former,2.4,255,5.7,37.4,True,4293,89.7,0
+224,47,Female,99,73,138,70,35,187,75,4.3,21.1,59,180,Asymptomatic,False,0.4,True,Never,3.8,110,7.1,40.4,False,6808,81.4,0
+225,59,Female,116,68,162,71,53,151,144,6.0,21.0,58,175,Non-Anginal Pain,False,0.5,False,Former,6.0,144,7.1,34.6,False,3544,70.9,0
+226,52,Female,124,79,168,61,83,158,143,6.0,19.2,81,155,Asymptomatic,False,0.8,False,Never,7.2,0,7.3,51.5,False,4437,81.0,0
+227,45,Male,143,81,181,60,85,165,130,5.9,32.6,81,193,Non-Anginal Pain,False,1.1,False,Never,16.3,138,7.1,33.5,True,8251,52.7,0
+228,45,Female,131,71,207,52,96,256,121,6.0,26.2,91,161,Atypical Angina,False,0.2,False,Former,12.6,59,8.5,37.6,False,1902,55.9,0
+229,39,Male,124,91,212,51,115,215,126,5.4,22.3,87,179,Typical Angina,False,0.1,False,Former,15.1,51,8.7,46.1,False,2533,48.1,0
+230,51,Female,151,98,196,51,123,148,138,6.7,35.3,86,137,Atypical Angina,True,0.4,False,Current,0.6,77,6.8,55.3,False,8256,80.8,1
+231,51,Male,148,89,150,36,87,119,138,6.4,27.4,85,151,Asymptomatic,False,0.3,False,Former,11.5,61,6.7,40.7,False,7586,35.7,1
+232,75,Female,144,89,206,54,123,139,95,4.9,25.7,72,134,Typical Angina,False,0.6,True,Never,0.4,52,6.6,25.7,True,6593,56.9,1
+233,74,Female,138,96,223,60,130,151,118,6.2,24.6,84,128,Non-Anginal Pain,True,1.1,False,Former,0.7,6,7.3,68.6,False,5639,45.6,1
+234,73,Female,124,79,238,70,143,157,91,4.9,18.1,96,156,Non-Anginal Pain,False,1.3,False,Never,7.5,59,6.2,67.0,True,4394,41.7,0
+235,81,Male,164,102,152,40,80,145,168,7.2,26.9,81,103,Non-Anginal Pain,True,0.9,True,Current,4.4,46,6.7,72.3,False,500,27.8,1
+236,38,Male,113,78,191,72,84,207,118,5.5,34.3,87,199,Asymptomatic,False,0.3,False,Never,3.6,166,5.6,52.1,False,6580,63.8,0
+237,63,Female,130,93,186,58,100,81,127,5.8,21.6,67,174,Non-Anginal Pain,False,0.4,True,Never,1.6,187,8.2,23.8,False,4573,79.3,0
+238,64,Female,143,96,161,66,64,138,114,6.1,24.6,83,141,Non-Anginal Pain,True,0.8,False,Current,1.7,27,6.0,82.2,False,5814,59.0,1
+239,60,Male,127,85,217,61,123,159,150,7.2,17.1,67,161,Asymptomatic,True,1.5,False,Former,6.0,193,6.3,40.6,True,8172,49.8,1
+240,82,Female,163,93,203,54,114,151,154,7.3,19.5,83,112,Asymptomatic,True,2.1,False,Former,0.4,125,6.6,69.6,True,4849,82.6,1
+241,87,Female,127,70,264,64,150,231,112,5.4,24.3,79,127,Asymptomatic,True,1.3,False,Former,10.2,127,9.9,40.2,True,4512,82.8,1
+242,67,Male,144,89,213,42,136,187,115,6.0,28.4,74,122,Non-Anginal Pain,False,1.5,True,Never,7.2,188,6.5,47.5,False,7429,70.7,1
+243,62,Female,124,97,178,51,97,169,87,4.8,26.2,76,147,Non-Anginal Pain,True,1.3,False,Never,12.6,146,6.8,30.3,True,8646,66.8,0
+244,39,Male,118,88,160,37,103,92,103,5.3,17.9,67,188,Asymptomatic,False,0.2,True,Never,4.7,157,6.5,35.6,False,4446,53.6,0
+245,39,Male,129,93,175,65,71,178,115,5.8,28.1,69,185,Atypical Angina,False,0.2,False,Never,2.8,211,6.8,55.2,False,7305,48.3,0
+246,63,Female,120,78,223,90,104,199,102,5.2,24.1,78,188,Atypical Angina,False,1.2,False,Former,5.4,156,6.4,49.1,True,8848,80.5,0
+247,53,Female,114,67,239,83,114,186,120,6.4,25.6,92,149,Non-Anginal Pain,False,0.8,False,Never,9.1,161,6.8,34.6,False,3275,53.1,1
+248,37,Female,119,72,167,38,113,123,102,5.5,22.4,77,198,Non-Anginal Pain,False,0.1,False,Current,1.3,203,7.0,42.7,True,2086,43.3,0
+249,52,Female,130,84,241,33,160,217,136,6.0,30.8,79,187,Non-Anginal Pain,False,0.2,False,Former,0.1,48,7.6,39.2,False,1930,49.6,0
+250,59,Female,117,94,152,34,86,108,162,6.6,27.7,95,169,Asymptomatic,False,1.6,False,Never,0.3,3,5.4,47.2,False,3901,77.1,0
+251,66,Male,144,97,210,51,143,128,103,5.8,26.0,87,166,Non-Anginal Pain,False,3.2,True,Never,8.9,196,8.1,47.8,False,3647,55.4,0
+252,53,Female,124,77,173,30,106,211,127,6.3,26.7,78,188,Asymptomatic,False,0.7,False,Current,3.2,174,6.4,46.5,False,3106,53.2,0
+253,51,Male,116,69,181,56,97,140,107,5.7,21.9,73,167,Asymptomatic,False,0.8,True,Never,9.3,202,7.2,40.5,False,6748,45.4,0
+254,54,Female,132,77,103,54,35,166,135,6.3,23.9,76,179,Asymptomatic,False,2.6,False,Never,0.7,82,6.4,41.3,True,7473,49.1,0
+255,56,Male,138,90,178,39,117,199,120,5.9,26.7,94,152,Typical Angina,False,0.8,False,Never,11.6,85,6.3,47.9,True,6425,50.0,0
+256,39,Male,142,101,227,58,139,151,131,6.2,27.3,82,187,Non-Anginal Pain,False,0.2,False,Current,22.4,117,6.0,15.5,False,6087,65.0,0
+257,65,Female,137,84,184,48,104,154,140,6.1,25.3,89,126,Asymptomatic,False,0.7,True,Current,13.6,113,6.8,17.6,True,6296,58.8,1
+258,82,Male,147,90,185,52,109,125,125,5.9,22.8,73,163,Asymptomatic,False,0.3,False,Never,1.6,213,7.3,50.1,True,8699,75.3,0
+259,65,Female,130,100,245,69,132,162,108,5.9,25.3,75,130,Asymptomatic,True,2.2,False,Never,2.1,122,7.3,57.6,False,3838,72.9,1
+260,35,Female,108,76,214,53,114,228,135,6.1,23.1,71,190,Asymptomatic,False,0.8,False,Never,18.1,180,5.7,36.5,True,5206,47.1,0
+261,55,Male,138,79,207,36,127,237,130,5.9,31.0,94,141,Asymptomatic,True,0.7,False,Never,16.4,0,8.3,66.1,False,4222,29.7,1
+262,31,Female,112,68,137,57,49,184,92,4.7,18.3,81,200,Atypical Angina,False,0.4,False,Never,4.3,246,6.1,49.4,True,5233,41.6,0
+263,30,Male,124,66,130,57,57,88,119,5.8,21.6,77,162,Atypical Angina,False,0.3,True,Never,5.9,148,6.7,43.4,False,2801,37.8,0
+264,63,Female,102,58,194,51,110,161,136,6.3,27.3,79,134,Asymptomatic,False,1.2,False,Never,3.8,94,7.2,31.3,False,7098,49.7,0
+265,55,Female,135,78,119,58,44,91,108,5.3,15.0,63,171,Non-Anginal Pain,True,2.1,False,Former,2.9,108,6.1,61.9,False,6435,84.2,0
+266,45,Male,107,63,200,62,76,251,189,7.7,26.2,85,192,Asymptomatic,False,0.2,False,Never,2.0,98,7.4,69.1,True,5835,49.1,0
+267,27,Male,106,70,196,62,120,122,103,5.2,27.3,86,190,Atypical Angina,False,2.9,False,Never,4.0,135,6.4,52.7,False,5319,42.5,0
+268,38,Male,117,78,136,40,59,145,103,5.6,25.2,78,182,Atypical Angina,False,0.0,False,Former,14.4,234,6.4,40.9,True,8307,67.3,0
+269,56,Female,132,84,222,80,121,109,98,5.2,24.3,74,150,Asymptomatic,True,0.7,True,Never,10.4,235,6.5,24.8,True,6937,71.0,0
+270,54,Male,136,83,223,53,149,158,117,5.8,30.2,85,133,Asymptomatic,False,1.6,True,Never,4.9,126,6.3,44.1,True,6731,53.4,1
+271,63,Female,120,70,236,50,144,138,110,5.8,25.6,92,160,Asymptomatic,False,0.5,False,Current,0.1,153,7.5,28.5,False,6800,51.1,0
+272,74,Female,152,96,188,60,90,134,105,5.5,28.6,75,177,Asymptomatic,True,0.2,False,Never,0.4,165,4.9,65.5,False,5872,63.9,0
+273,50,Male,133,91,148,65,87,35,129,5.6,19.9,71,191,Non-Anginal Pain,False,1.6,False,Never,2.6,184,5.0,34.2,False,5602,65.4,0
+274,60,Male,122,87,202,63,95,219,133,6.0,27.1,88,155,Asymptomatic,False,1.3,False,Never,2.2,118,5.0,56.8,False,6925,58.8,0
+275,52,Female,125,79,209,75,95,171,110,5.6,25.9,69,147,Asymptomatic,False,1.2,False,Former,11.3,285,6.5,35.7,True,7238,73.5,0
+276,48,Male,124,82,185,45,128,141,127,5.8,23.9,75,177,Typical Angina,False,0.3,False,Former,2.6,209,7.8,50.8,False,7308,59.1,0
+277,51,Female,120,83,214,48,127,176,110,5.6,28.7,79,182,Asymptomatic,False,0.2,False,Never,0.3,234,5.9,30.9,False,4701,85.4,0
+278,66,Male,128,78,215,65,141,73,125,6.2,28.8,83,146,Non-Anginal Pain,False,0.2,False,Former,1.6,101,6.9,32.0,True,7503,79.7,0
+279,41,Female,122,88,200,63,102,163,120,5.9,29.4,70,190,Non-Anginal Pain,False,0.4,True,Never,5.3,171,6.0,54.3,True,8653,79.5,0
+280,69,Male,150,102,172,57,81,122,82,4.1,24.2,77,151,Typical Angina,False,0.2,False,Never,22.2,118,7.8,68.5,True,3211,60.2,0
+281,73,Female,146,87,168,57,90,97,127,6.2,20.3,104,125,Non-Anginal Pain,True,0.5,False,Never,1.0,0,7.5,48.2,False,2753,61.4,1
+282,54,Female,117,63,170,72,54,204,83,4.4,20.0,69,161,Asymptomatic,False,0.0,True,Never,1.6,188,7.2,46.6,False,5928,66.7,0
+283,57,Female,122,73,258,86,136,190,126,6.2,28.6,83,159,Asymptomatic,False,0.5,False,Former,4.7,207,3.5,9.9,True,5928,58.8,0
+284,36,Male,118,73,167,60,82,184,134,6.4,24.0,81,204,Asymptomatic,False,0.3,False,Former,3.9,93,6.5,75.6,False,7333,74.6,0
+285,85,Female,145,97,198,58,114,115,109,5.5,16.1,101,118,Atypical Angina,True,1.7,False,Former,3.6,13,6.6,33.8,False,5708,73.9,1
+286,67,Male,115,71,156,63,68,138,104,5.5,24.7,81,164,Non-Anginal Pain,False,0.9,True,Former,7.5,205,8.4,0.0,True,6488,67.7,0
+287,56,Female,125,73,249,75,144,160,84,4.8,21.0,75,172,Asymptomatic,True,0.2,False,Never,18.8,171,6.2,26.7,False,4552,53.4,0
+288,55,Male,128,69,202,73,94,150,126,5.9,23.4,73,158,Asymptomatic,False,1.3,False,Former,2.4,240,8.5,47.3,True,5387,67.7,0
+289,60,Female,131,71,250,68,132,183,70,4.1,15.2,88,174,Asymptomatic,False,1.0,True,Never,6.6,214,6.0,32.4,True,9796,38.9,0
+290,46,Female,110,69,245,78,137,151,73,4.7,15.0,87,191,Asymptomatic,False,0.3,True,Former,2.6,182,6.2,25.5,False,4821,51.2,0
+291,58,Male,120,79,178,61,94,84,82,5.0,17.9,77,164,Asymptomatic,False,0.1,False,Never,10.1,162,8.4,33.0,True,6304,66.5,0
+292,42,Female,137,85,249,67,146,217,122,5.5,31.0,80,171,Asymptomatic,False,0.4,True,Never,1.9,150,4.8,34.6,False,5125,52.1,1
+293,60,Male,122,77,199,58,108,167,93,5.7,24.1,62,172,Asymptomatic,False,0.5,False,Former,4.3,216,7.3,53.1,True,6929,46.6,0
+294,45,Female,133,77,191,46,128,113,133,6.4,22.7,85,161,Asymptomatic,True,0.6,False,Never,1.4,127,7.6,57.4,False,4400,64.2,1
+295,66,Female,152,89,215,56,108,152,147,6.9,27.1,79,119,Asymptomatic,True,1.0,True,Never,20.3,29,7.6,48.8,False,1577,54.2,1
+296,52,Male,123,74,130,33,66,171,112,5.9,23.2,72,174,Asymptomatic,False,1.0,False,Never,7.3,183,6.9,42.6,True,6883,75.3,0
+297,57,Female,117,82,160,49,102,72,99,5.3,21.8,81,184,Asymptomatic,False,2.3,False,Never,4.1,256,5.3,38.5,False,8078,64.9,0
+298,90,Male,125,72,228,63,130,133,164,7.2,25.1,84,95,Typical Angina,True,0.2,False,Never,3.4,91,7.6,47.8,True,7882,74.2,1
+299,64,Male,127,74,180,56,106,128,162,6.9,22.1,74,123,Atypical Angina,True,0.2,False,Never,7.4,112,6.4,64.6,False,5437,58.4,1
+300,57,Female,132,78,140,45,84,105,89,5.4,20.5,99,153,Non-Anginal Pain,True,0.7,False,Never,1.7,151,5.5,67.6,True,7564,74.1,0
+301,55,Female,129,82,220,58,124,188,135,6.4,32.9,80,164,Asymptomatic,False,0.4,False,Current,13.5,164,6.9,30.9,True,6151,51.0,1
+302,40,Female,120,71,146,60,81,63,129,6.3,29.1,78,183,Asymptomatic,False,0.8,True,Never,2.2,135,7.7,39.0,True,7491,81.5,0
+303,68,Male,146,93,188,60,84,212,116,6.0,22.3,67,109,Asymptomatic,False,2.0,True,Never,24.7,163,6.8,47.1,True,6316,45.5,1
+304,75,Male,139,98,215,61,115,160,133,6.3,30.5,78,129,Asymptomatic,False,1.0,True,Former,1.8,294,8.4,46.1,True,8442,56.8,1
+305,55,Female,138,98,182,59,78,170,115,5.8,22.2,83,188,Asymptomatic,False,2.9,False,Former,7.2,159,6.2,24.7,True,8717,62.5,0
+306,76,Male,146,86,254,63,175,145,134,6.0,26.0,87,123,Non-Anginal Pain,True,0.2,False,Former,8.7,166,6.8,59.3,True,7868,52.6,1
+307,53,Female,104,63,187,51,122,87,143,6.4,21.8,71,179,Typical Angina,True,0.1,True,Former,0.1,153,5.8,22.5,False,5309,70.0,0
+308,31,Female,124,88,144,68,53,171,78,4.5,21.5,91,186,Non-Anginal Pain,False,0.4,False,Former,7.5,269,7.1,31.2,True,6784,100.0,0
+309,46,Male,122,73,148,83,41,121,127,6.3,19.7,76,179,Non-Anginal Pain,False,0.5,False,Never,4.7,292,7.9,38.9,True,10099,84.4,0
+310,40,Female,116,73,153,47,83,130,101,5.1,27.9,72,195,Non-Anginal Pain,False,0.3,False,Current,4.6,270,10.2,19.5,True,7141,78.9,0
+311,50,Male,109,65,129,49,51,133,139,6.5,18.1,80,175,Asymptomatic,False,0.1,False,Never,4.7,101,6.0,51.2,False,4748,42.7,0
+312,62,Female,154,99,148,53,80,60,111,5.9,31.3,86,180,Asymptomatic,False,0.4,True,Never,1.2,184,7.8,60.3,False,5579,54.7,0
+313,42,Female,109,68,192,77,106,73,123,6.3,27.8,78,174,Typical Angina,False,1.8,False,Current,10.6,210,8.8,44.8,False,8605,52.4,0
+314,53,Female,107,64,187,50,116,145,88,4.9,27.1,80,171,Asymptomatic,False,0.3,True,Never,1.8,190,4.5,46.3,False,4559,66.7,0
+315,57,Female,117,77,186,74,91,129,150,6.8,26.9,78,176,Non-Anginal Pain,False,0.7,True,Former,3.7,197,9.1,63.5,True,5665,87.9,0
+316,44,Female,125,82,230,61,120,191,150,6.9,28.6,77,153,Asymptomatic,False,1.3,True,Never,0.7,141,7.4,71.8,True,6318,98.9,0
+317,42,Female,100,64,199,67,106,153,116,5.6,24.1,72,178,Typical Angina,False,0.9,False,Never,1.3,78,6.8,24.4,False,4486,61.7,0
+318,55,Female,114,86,218,65,127,106,120,5.9,25.5,71,165,Asymptomatic,False,5.0,False,Never,4.3,87,5.4,50.4,False,6600,48.9,1
+319,65,Female,138,80,204,65,123,66,138,5.6,24.0,76,200,Asymptomatic,False,1.9,False,Current,0.6,224,7.4,45.2,True,10570,51.0,0
+320,46,Male,123,71,175,84,70,103,85,4.3,15.0,83,160,Atypical Angina,False,1.0,False,Former,4.7,224,8.1,55.9,False,6162,62.4,0
+321,44,Female,108,61,204,70,100,135,116,6.3,22.2,71,194,Non-Anginal Pain,False,1.0,False,Former,3.1,158,5.5,66.7,True,4513,83.4,0
+322,52,Female,146,89,226,39,155,184,141,6.3,33.8,91,146,Non-Anginal Pain,False,1.6,False,Current,2.5,74,5.7,58.2,False,5534,33.9,1
+323,58,Female,144,93,201,57,119,203,115,6.1,28.8,96,162,Asymptomatic,False,0.7,False,Never,10.8,65,6.7,37.4,False,4648,37.5,0
+324,47,Female,105,77,181,59,99,125,104,5.3,26.1,90,181,Typical Angina,False,0.2,False,Never,1.3,78,5.9,77.0,True,7005,78.5,0
+325,50,Female,128,79,173,37,111,92,84,4.3,28.7,78,178,Asymptomatic,False,0.5,True,Former,1.9,96,6.8,59.1,True,5403,47.4,0
+326,51,Male,129,67,183,44,92,217,126,6.4,26.0,78,169,Non-Anginal Pain,False,1.1,False,Current,2.4,136,7.5,39.1,True,7241,67.9,1
+327,40,Male,110,83,170,48,99,90,97,4.9,20.2,77,190,Typical Angina,False,1.0,False,Never,11.3,187,5.7,58.9,False,5847,79.6,0
+328,52,Female,128,84,157,55,80,130,145,6.2,23.7,87,191,Asymptomatic,False,0.6,False,Current,4.0,215,5.9,71.8,True,9793,55.3,0
+329,47,Male,134,96,211,53,120,186,122,5.3,27.4,81,150,Non-Anginal Pain,True,3.2,False,Never,4.2,50,7.2,73.0,True,6057,64.5,1
+330,75,Female,123,84,190,49,106,173,112,5.7,32.4,89,145,Asymptomatic,False,0.3,False,Never,5.5,112,8.3,28.1,True,5908,49.4,0
+331,47,Male,126,80,178,53,96,154,104,5.8,31.2,97,180,Asymptomatic,False,0.4,False,Never,10.4,69,7.1,38.2,True,6980,36.0,0
+332,60,Male,116,72,214,67,102,213,139,5.8,26.5,79,155,Atypical Angina,False,0.4,False,Never,2.3,116,6.8,69.9,False,1660,51.4,0
+333,59,Female,131,93,156,49,73,140,129,6.3,24.9,102,140,Atypical Angina,True,0.8,True,Never,5.5,102,6.4,63.5,True,6050,47.5,1
+334,39,Female,125,81,230,65,125,192,112,5.9,25.5,68,182,Atypical Angina,False,1.0,False,Never,2.1,140,6.0,23.9,False,6240,59.3,0
+335,38,Male,137,84,172,44,99,99,151,7.1,26.6,80,159,Asymptomatic,False,0.5,True,Former,5.4,96,6.8,46.3,False,2707,75.9,0
+336,48,Female,136,86,209,60,114,206,135,6.6,29.2,92,137,Asymptomatic,False,0.7,True,Never,8.6,105,5.6,40.1,True,4709,41.7,1
+337,63,Female,115,79,194,49,97,154,67,4.0,27.8,84,170,Asymptomatic,False,0.7,False,Current,1.8,259,7.2,16.3,True,8151,61.5,0
+338,47,Female,129,87,188,54,101,187,149,6.8,21.0,86,185,Typical Angina,False,0.3,False,Current,0.2,80,5.9,35.8,False,5894,57.1,0
+339,45,Male,116,70,163,73,75,102,99,5.3,19.8,65,192,Typical Angina,False,3.2,False,Never,2.9,127,4.6,62.5,True,5628,81.6,0
+340,18,Male,123,79,108,27,61,177,90,5.3,29.0,80,201,Asymptomatic,True,0.5,True,Former,15.7,33,5.5,23.9,False,6990,52.7,0
+341,49,Male,129,84,214,69,98,140,101,4.7,20.8,79,196,Non-Anginal Pain,True,0.7,True,Former,4.8,186,7.1,56.8,False,3608,46.0,0
+342,58,Female,132,86,145,69,45,113,125,6.3,27.2,86,187,Asymptomatic,False,0.3,False,Never,6.3,91,8.3,60.4,True,7140,58.2,0
+343,60,Male,118,75,222,35,161,176,138,6.7,24.4,78,148,Asymptomatic,True,1.0,False,Current,3.0,90,6.9,49.9,True,8783,23.3,1
+344,60,Male,138,81,177,52,103,62,130,6.3,28.9,85,138,Asymptomatic,True,0.5,False,Former,3.3,90,7.5,54.9,False,4450,59.7,1
+345,50,Female,119,67,193,52,114,157,119,5.8,25.4,84,160,Asymptomatic,False,0.6,True,Current,4.1,92,7.2,50.7,False,1847,51.4,1
+346,51,Male,156,96,197,38,125,208,144,6.5,30.5,76,145,Asymptomatic,True,0.8,False,Never,9.6,95,7.1,54.0,True,7284,56.1,1
+347,65,Male,125,74,157,54,93,115,106,5.6,27.1,79,156,Asymptomatic,False,0.6,True,Never,5.4,113,6.4,57.9,False,2442,62.8,1
+348,52,Male,130,93,213,47,126,242,154,6.5,28.9,78,178,Non-Anginal Pain,False,0.2,False,Former,3.2,202,7.2,30.8,False,5623,44.4,0
+349,24,Male,100,70,158,74,58,122,62,4.0,18.0,58,200,Atypical Angina,False,0.2,False,Never,2.4,232,7.4,67.1,True,8851,75.4,0
+350,67,Male,111,85,195,67,105,112,104,5.2,23.6,63,125,Asymptomatic,True,1.7,False,Current,2.3,180,6.0,40.7,True,7172,53.7,1
+351,40,Female,131,89,201,71,87,206,123,5.9,29.4,85,152,Atypical Angina,False,1.6,True,Never,8.8,119,7.0,34.6,True,5134,74.9,1
+352,72,Male,142,94,176,31,101,233,106,5.3,17.2,66,150,Asymptomatic,False,0.4,False,Never,21.3,141,6.8,61.5,False,3870,69.0,0
+353,76,Male,135,82,178,58,93,146,140,6.2,21.7,77,149,Atypical Angina,False,2.5,False,Never,3.0,246,8.0,36.3,False,4781,64.4,0
+354,64,Male,137,101,181,47,91,158,147,6.8,26.1,75,139,Non-Anginal Pain,True,0.5,False,Former,6.9,124,5.2,61.8,True,6127,61.8,1
+355,66,Female,131,82,197,57,105,153,149,6.9,22.7,89,122,Asymptomatic,True,0.3,False,Never,0.8,48,6.9,38.1,False,8134,50.0,1
+356,78,Male,132,77,152,67,74,44,133,5.6,21.2,72,155,Asymptomatic,False,0.1,False,Never,8.1,218,6.2,68.1,True,7576,56.4,0
+357,40,Male,119,72,235,46,146,211,164,6.3,22.6,76,174,Asymptomatic,False,0.4,True,Never,5.5,150,6.6,77.4,False,4079,43.7,0
+358,57,Female,150,99,191,63,83,220,142,5.8,31.7,65,166,Non-Anginal Pain,False,0.5,True,Never,1.4,150,6.7,65.3,True,4088,50.0,0
+359,57,Female,125,68,156,39,87,143,93,4.8,22.3,82,172,Asymptomatic,False,1.7,False,Current,11.8,109,5.8,47.3,False,6453,24.1,0
+360,41,Female,106,66,183,51,123,91,77,4.4,19.0,83,179,Atypical Angina,False,1.2,True,Former,3.4,256,8.6,51.7,True,10779,79.0,0
+361,80,Male,129,71,225,56,139,128,107,5.8,22.0,83,134,Atypical Angina,True,3.7,True,Former,1.7,63,5.2,17.4,False,7715,64.7,1
+362,46,Female,133,70,190,64,110,93,152,6.8,26.8,84,172,Typical Angina,False,0.1,False,Never,12.3,201,7.6,36.4,True,9233,60.4,0
+363,44,Male,129,84,224,56,133,158,95,4.5,16.7,81,190,Asymptomatic,False,0.2,False,Current,18.6,228,7.2,47.9,True,13061,44.3,0
+364,57,Female,113,71,172,73,87,151,117,6.0,20.7,76,204,Asymptomatic,False,2.3,True,Former,3.5,235,7.1,64.3,True,8882,66.4,0
+365,67,Female,132,94,182,69,96,98,101,5.5,15.0,77,179,Asymptomatic,True,0.2,False,Never,5.2,289,8.5,36.5,True,7816,67.8,0
+366,46,Male,119,73,229,60,120,266,87,4.9,23.9,79,179,Asymptomatic,False,0.7,True,Former,11.9,118,6.9,56.1,True,6334,66.0,0
+367,46,Female,129,77,185,57,117,35,95,5.2,26.9,94,158,Asymptomatic,True,2.6,False,Never,5.9,142,6.8,59.6,False,5439,66.3,1
+368,61,Male,124,81,268,69,158,226,131,5.9,26.6,88,151,Asymptomatic,False,0.7,False,Former,6.5,168,7.3,18.8,True,7791,62.9,1
+369,35,Male,120,73,193,51,108,121,114,5.2,27.1,85,197,Asymptomatic,False,0.2,False,Never,2.6,207,5.8,68.0,True,7811,83.0,0
+370,44,Female,125,75,199,74,82,220,122,5.7,26.6,87,175,Atypical Angina,False,1.1,False,Former,2.2,220,6.7,42.6,False,3337,70.8,0
+371,43,Male,108,52,142,75,42,162,120,5.2,20.4,80,159,Non-Anginal Pain,False,1.0,False,Former,7.1,332,6.6,42.9,True,7206,68.7,0
+372,48,Female,126,87,224,76,109,176,109,5.2,26.3,93,163,Asymptomatic,False,0.1,False,Never,0.9,81,6.4,61.7,True,7722,56.1,0
+373,52,Male,117,69,198,80,88,188,87,4.9,27.6,73,175,Asymptomatic,False,0.8,True,Former,2.9,184,5.6,31.3,False,9841,57.2,0
+374,78,Female,150,88,259,54,176,159,142,6.5,31.6,71,108,Typical Angina,False,1.4,False,Never,1.7,119,8.3,36.3,False,5109,53.8,1
+375,66,Female,119,68,254,68,164,123,116,5.5,25.6,86,155,Non-Anginal Pain,True,0.4,True,Current,0.1,131,8.9,54.3,True,8610,72.9,0
+376,54,Female,101,71,187,62,99,166,101,5.3,21.1,72,180,Asymptomatic,False,0.2,False,Former,3.2,273,5.3,65.1,True,9738,78.1,0
+377,51,Female,128,88,205,65,103,179,144,6.7,26.1,82,186,Asymptomatic,False,0.4,False,Never,11.6,127,8.0,26.5,True,8063,44.2,0
+378,65,Female,138,93,192,65,91,149,112,5.8,23.5,81,142,Atypical Angina,True,0.6,False,Former,2.5,218,8.0,58.0,False,5070,54.4,1
+379,60,Male,145,92,200,27,124,213,138,6.5,29.3,83,150,Non-Anginal Pain,True,0.4,False,Current,2.7,61,7.6,50.9,False,6509,32.6,1
+380,66,Male,140,89,167,44,89,147,116,5.9,30.9,88,153,Non-Anginal Pain,False,0.7,False,Former,7.4,97,6.8,26.1,False,3568,32.9,0
+381,72,Male,123,90,187,48,135,103,113,5.7,25.1,78,147,Asymptomatic,False,0.9,False,Former,15.0,184,7.7,29.1,False,500,58.0,0
+382,41,Female,96,54,185,68,103,55,107,5.6,26.0,71,193,Asymptomatic,False,0.5,True,Current,1.2,63,5.7,9.9,False,8013,43.4,0
+383,25,Male,140,98,219,66,111,223,111,5.4,27.7,81,174,Asymptomatic,False,0.2,False,Never,2.9,111,6.2,39.2,False,7101,56.5,0
+384,54,Male,125,74,223,51,138,124,130,6.1,16.9,73,162,Non-Anginal Pain,False,0.4,False,Current,6.7,139,7.7,55.0,False,8673,64.4,0
+385,55,Female,140,82,191,83,63,235,124,6.3,23.7,77,160,Asymptomatic,False,0.5,True,Never,20.2,174,5.9,78.2,True,7459,64.3,0
+386,58,Male,136,79,115,50,67,47,133,6.1,21.4,69,158,Asymptomatic,False,1.6,False,Former,4.0,58,7.3,51.8,False,8748,78.4,0
+387,46,Male,149,101,199,61,98,145,143,6.6,23.2,75,187,Asymptomatic,False,0.6,True,Never,10.1,140,7.0,31.0,True,6816,74.4,0
+388,51,Female,119,81,216,49,141,172,139,5.8,30.0,88,160,Asymptomatic,False,0.0,False,Former,1.9,136,8.6,41.6,False,5325,57.2,0
+389,61,Female,135,83,212,65,102,190,111,6.0,27.0,72,160,Asymptomatic,False,2.2,True,Former,0.9,226,7.3,30.1,True,7981,60.9,0
+390,62,Male,120,75,127,19,88,167,118,5.6,23.0,73,128,Typical Angina,False,2.2,True,Never,8.0,29,4.9,38.9,False,6654,42.1,1
+391,71,Female,133,69,248,34,160,188,122,5.7,30.0,81,148,Asymptomatic,False,1.8,False,Never,0.4,39,5.2,39.4,True,6559,67.9,1
+392,26,Male,114,71,168,42,93,146,114,5.4,23.3,81,195,Asymptomatic,False,0.5,False,Never,2.3,199,8.7,20.4,False,8116,43.8,0
+393,33,Female,115,59,155,56,85,76,122,5.8,20.3,78,199,Non-Anginal Pain,False,0.9,False,Never,3.1,116,7.3,44.7,False,5530,59.9,0
+394,73,Female,139,94,148,61,54,163,108,5.8,24.8,85,155,Asymptomatic,False,0.4,False,Former,9.3,127,7.2,31.7,True,6551,60.2,0
+395,62,Female,129,82,209,51,121,196,150,6.9,29.3,93,168,Asymptomatic,True,1.9,False,Current,5.4,106,4.5,24.9,False,5819,59.8,1
+396,64,Male,98,74,243,51,140,215,144,6.0,26.7,71,163,Atypical Angina,True,0.3,True,Former,6.0,181,8.3,49.8,True,4659,40.2,1
+397,50,Female,103,62,216,65,115,201,77,4.6,23.8,71,177,Atypical Angina,False,0.9,True,Never,0.5,184,7.0,18.4,False,6909,38.9,0
+398,48,Male,110,61,190,57,108,199,99,5.4,21.9,72,186,Asymptomatic,False,0.7,False,Current,1.8,198,7.8,31.9,True,5478,37.0,0
+399,57,Female,105,67,195,72,84,171,152,7.0,23.9,81,145,Atypical Angina,False,0.8,False,Current,3.1,117,7.5,53.3,False,2667,32.7,0
+400,42,Male,113,64,182,42,113,114,66,4.0,22.6,81,185,Atypical Angina,False,0.7,False,Former,5.3,203,7.3,51.5,False,7031,66.9,0
+401,34,Female,119,81,174,44,94,120,154,6.8,28.5,92,192,Asymptomatic,False,0.4,True,Former,4.3,188,6.8,43.6,False,4610,46.1,0
+402,40,Female,119,78,142,67,68,96,132,6.2,22.7,84,181,Atypical Angina,False,1.0,False,Never,0.5,182,5.2,54.8,False,7786,43.1,0
+403,56,Male,111,80,187,43,115,147,142,6.7,23.5,64,146,Typical Angina,True,0.4,True,Former,1.9,253,5.7,56.4,True,10396,55.9,1
+404,62,Male,128,95,179,45,100,147,129,6.2,29.0,82,137,Asymptomatic,False,0.1,False,Never,1.6,95,6.7,44.7,True,8037,61.1,1
+405,75,Female,161,102,225,63,118,187,148,6.5,27.3,83,149,Non-Anginal Pain,False,0.4,False,Former,2.5,68,5.3,16.1,True,3335,78.4,0
+406,59,Male,126,75,251,62,151,182,146,6.7,27.8,88,127,Asymptomatic,False,0.5,False,Never,3.1,179,7.6,35.0,False,5935,65.9,1
+407,60,Male,118,63,221,60,114,222,137,6.7,24.4,96,170,Asymptomatic,False,0.2,False,Never,2.0,216,6.7,74.9,True,7395,53.7,0
+408,76,Male,155,92,195,66,98,171,113,5.4,27.3,88,151,Asymptomatic,False,3.9,False,Former,9.6,65,6.6,57.2,False,2953,43.8,1
+409,44,Male,143,96,175,35,70,251,137,6.8,33.6,81,160,Asymptomatic,True,0.7,False,Never,7.1,187,4.5,47.4,False,3678,99.8,1
+410,42,Female,118,70,179,46,97,139,94,5.5,22.1,77,183,Non-Anginal Pain,False,0.3,False,Never,8.6,66,7.4,56.5,False,3206,34.8,0
+411,47,Female,117,64,196,54,98,190,79,4.6,20.1,88,175,Non-Anginal Pain,False,0.3,False,Never,12.0,62,6.3,61.1,False,6403,46.7,0
+412,53,Female,119,80,140,52,65,109,128,5.7,28.3,81,186,Non-Anginal Pain,False,1.1,False,Never,5.8,144,7.1,41.7,False,4252,81.1,0
+413,80,Male,152,105,166,51,107,41,105,5.4,23.2,82,127,Atypical Angina,True,0.3,False,Never,7.9,0,6.6,52.7,False,4361,58.6,0
+414,49,Female,110,74,219,83,109,123,141,5.6,28.3,82,171,Non-Anginal Pain,False,0.0,False,Never,0.5,196,8.3,46.3,True,6819,65.9,0
+415,71,Male,153,87,168,56,92,84,160,6.7,24.9,75,130,Atypical Angina,True,0.9,False,Former,5.0,59,7.5,43.7,True,4580,75.6,1
+416,48,Male,124,76,166,51,83,241,102,5.3,23.9,62,175,Non-Anginal Pain,False,0.3,False,Current,7.3,267,6.6,48.1,False,7096,65.9,0
+417,60,Female,142,92,230,62,135,174,123,6.1,25.9,94,142,Asymptomatic,False,0.5,False,Never,4.9,177,5.9,43.9,True,4521,48.7,1
+418,63,Male,136,83,190,43,112,126,109,5.3,25.3,92,125,Non-Anginal Pain,True,0.4,True,Never,3.5,59,8.6,55.0,False,5558,69.2,1
+419,61,Male,142,96,234,38,140,268,133,5.6,26.9,94,134,Asymptomatic,True,5.9,False,Current,15.0,69,7.6,61.5,True,6173,56.3,1
+420,64,Female,139,84,231,61,139,153,192,7.5,32.0,91,156,Asymptomatic,False,2.8,False,Never,0.3,46,5.9,64.7,False,5181,48.5,1
+421,45,Male,117,80,127,46,61,183,93,5.6,23.6,84,203,Asymptomatic,False,1.2,False,Never,1.6,157,6.1,59.6,False,6295,65.2,0
+422,73,Male,139,79,190,33,107,177,144,5.8,23.3,88,106,Atypical Angina,True,0.5,False,Never,4.8,84,7.2,62.8,True,7169,42.5,1
+423,67,Female,141,87,158,52,84,147,111,5.2,34.5,69,139,Asymptomatic,False,0.5,False,Never,1.7,76,8.5,20.5,False,4306,67.5,0
+424,45,Male,148,97,228,86,112,148,133,6.0,22.7,73,171,Asymptomatic,False,0.1,False,Never,4.9,199,6.6,98.1,True,5837,43.4,0
+425,61,Male,123,79,123,54,49,119,148,6.6,26.2,88,151,Atypical Angina,False,0.5,False,Never,1.6,186,5.7,46.5,False,8861,74.0,1
+426,40,Male,100,59,178,76,98,49,130,5.3,22.0,85,166,Asymptomatic,False,0.8,False,Never,5.6,104,7.7,28.3,True,8679,68.1,0
+427,55,Male,115,72,241,57,168,70,96,4.5,23.8,74,142,Atypical Angina,True,0.1,False,Current,3.8,235,5.7,19.2,True,9065,39.2,1
+428,39,Female,119,72,182,57,108,99,111,6.0,23.7,82,187,Asymptomatic,False,0.3,False,Never,7.9,11,7.7,68.3,False,5961,73.0,0
+429,63,Female,140,81,170,56,90,113,121,5.6,25.8,89,159,Asymptomatic,False,0.4,False,Former,6.2,179,5.1,47.1,False,2555,59.5,0
+430,90,Male,151,83,187,57,104,121,157,6.9,28.2,72,123,Non-Anginal Pain,False,0.9,True,Former,1.6,107,6.7,37.3,False,1720,63.8,1
+431,73,Male,130,81,161,37,96,155,148,6.4,25.9,87,142,Asymptomatic,True,6.5,False,Never,5.3,32,4.5,83.7,False,6477,72.5,1
+432,64,Female,140,85,278,53,175,228,167,7.5,25.9,87,132,Asymptomatic,False,0.2,False,Never,3.1,5,7.4,48.7,False,591,33.5,0
+433,42,Female,114,73,206,76,81,233,152,5.9,24.0,88,181,Non-Anginal Pain,False,0.5,False,Former,5.1,128,7.4,41.3,False,4127,28.6,0
+434,59,Male,131,75,182,71,98,81,136,5.7,19.5,80,171,Non-Anginal Pain,False,0.3,True,Never,1.5,149,7.1,32.5,True,9169,60.3,0
+435,69,Female,122,71,184,52,95,198,129,6.1,25.5,86,124,Atypical Angina,True,2.4,True,Current,4.1,32,5.8,66.9,False,3939,35.7,1
+436,53,Female,116,72,185,44,120,190,118,5.2,29.2,72,159,Typical Angina,False,1.2,False,Never,2.6,157,5.9,57.0,False,5211,52.3,0
+437,56,Female,129,82,193,38,115,192,128,6.4,30.4,90,127,Non-Anginal Pain,True,1.1,False,Never,8.9,38,7.5,33.1,False,4706,66.7,1
+438,32,Female,125,79,216,47,165,100,94,4.9,21.0,92,200,Non-Anginal Pain,True,5.3,True,Current,4.0,47,4.9,66.6,False,4752,17.8,1
+439,43,Female,114,78,183,62,96,124,121,6.1,28.3,76,170,Asymptomatic,False,0.6,False,Never,5.7,174,6.9,54.3,False,4124,53.4,0
+440,30,Female,104,61,206,66,98,214,90,5.0,21.0,67,203,Atypical Angina,False,1.1,False,Never,13.1,243,7.3,72.3,True,6233,67.1,0
+441,79,Female,146,88,208,90,96,164,125,5.8,26.5,70,153,Non-Anginal Pain,False,0.6,False,Former,5.3,173,6.9,36.4,True,6966,91.5,0
+442,60,Female,129,95,207,76,104,137,96,5.1,26.4,79,178,Asymptomatic,False,1.4,False,Never,2.0,260,6.2,30.5,True,8269,75.7,0
+443,63,Male,132,87,217,55,132,209,133,6.2,26.9,64,146,Atypical Angina,True,1.1,True,Never,1.6,249,6.5,50.2,False,7927,73.1,1
+444,51,Male,107,68,186,48,116,117,129,6.6,21.6,82,171,Asymptomatic,True,0.2,True,Never,3.9,150,7.7,31.0,True,7236,61.9,0
+445,35,Female,112,60,148,52,77,93,95,5.3,19.6,64,199,Non-Anginal Pain,False,0.6,True,Former,2.0,128,7.5,55.9,False,2487,70.5,0
+446,56,Male,125,68,189,57,93,160,111,5.9,16.7,84,178,Asymptomatic,True,0.9,False,Current,2.4,140,4.9,45.1,False,3383,37.5,1
+447,46,Male,128,85,204,47,141,56,122,6.0,20.7,66,162,Non-Anginal Pain,True,0.9,False,Current,1.5,156,6.5,71.6,False,5940,75.3,1
+448,41,Female,129,93,169,63,75,112,104,5.2,15.9,82,191,Asymptomatic,False,0.2,False,Never,0.7,149,7.1,44.3,False,6755,69.6,0
+449,55,Female,142,105,179,53,106,152,146,7.0,32.2,94,170,Atypical Angina,False,1.0,False,Never,2.0,12,5.0,61.2,False,7549,62.3,0
+450,55,Male,112,79,174,55,101,92,104,5.4,28.3,85,136,Non-Anginal Pain,False,0.4,False,Never,4.6,129,6.7,59.3,False,4654,85.5,1
+451,52,Female,147,91,161,49,86,55,97,5.2,24.8,69,178,Non-Anginal Pain,False,0.8,False,Never,5.3,116,6.8,42.7,False,6002,90.8,0
+452,44,Female,128,78,189,35,123,138,146,6.4,22.1,83,151,Asymptomatic,False,1.2,False,Never,0.8,30,6.3,70.6,True,6768,50.2,1
+453,41,Female,98,69,123,48,39,160,104,5.6,26.2,85,196,Typical Angina,False,0.2,False,Former,2.6,176,5.8,57.8,True,9968,49.3,0
+454,54,Female,110,74,220,56,116,174,126,6.2,23.1,62,194,Atypical Angina,False,0.5,True,Former,11.6,136,6.1,48.9,True,5031,63.6,0
+455,70,Female,126,91,207,64,108,148,153,7.3,19.5,84,132,Non-Anginal Pain,False,2.2,False,Never,5.3,82,6.7,72.7,False,2624,28.3,1
+456,33,Male,124,85,158,40,78,202,104,5.5,26.0,85,200,Asymptomatic,False,0.4,False,Never,4.0,61,6.5,55.8,True,5991,56.8,0
+457,45,Male,118,82,180,50,102,88,130,5.6,23.7,98,174,Asymptomatic,False,1.4,False,Never,7.6,20,5.7,56.1,False,11327,49.1,0
+458,52,Male,121,87,164,32,107,111,110,5.4,20.0,89,146,Asymptomatic,True,0.3,True,Former,12.3,67,7.0,63.6,False,4815,55.9,1
+459,52,Female,122,79,217,59,114,194,112,6.0,29.6,73,164,Asymptomatic,False,0.2,False,Current,2.1,103,6.4,25.0,False,8108,65.4,0
+460,46,Male,103,60,151,52,74,116,109,5.8,18.3,89,179,Asymptomatic,False,0.5,True,Never,7.4,182,9.0,61.2,False,6926,79.1,0
+461,79,Female,149,93,146,32,85,114,124,5.7,28.4,77,124,Non-Anginal Pain,False,1.4,False,Current,0.4,80,8.0,18.2,True,6422,72.3,1
+462,59,Male,138,99,160,35,92,225,118,5.9,25.5,71,180,Non-Anginal Pain,True,0.1,False,Current,8.0,220,7.9,27.5,True,9724,47.8,0
+463,41,Female,117,66,160,61,75,139,155,6.1,27.5,88,171,Asymptomatic,True,2.2,True,Never,5.6,10,7.9,40.9,False,1869,61.8,1
+464,30,Male,120,73,180,51,99,92,132,5.5,21.0,82,191,Non-Anginal Pain,False,0.6,True,Never,4.8,220,7.5,64.0,False,6936,47.9,0
+465,52,Male,134,102,196,38,129,143,170,7.5,30.1,80,157,Typical Angina,False,1.0,True,Never,3.8,102,9.2,57.6,False,6545,71.9,1
+466,73,Male,148,99,182,51,101,149,105,5.1,22.1,85,144,Typical Angina,False,0.6,False,Never,20.0,162,7.8,80.8,True,6584,53.8,1
+467,57,Male,125,75,182,55,86,240,118,6.0,25.0,76,172,Asymptomatic,False,1.8,False,Current,6.6,246,8.3,53.7,True,6696,61.9,0
+468,24,Female,128,80,200,59,126,35,161,6.5,21.2,86,203,Non-Anginal Pain,False,0.6,False,Never,3.7,101,7.9,59.4,False,6352,58.6,0
+469,36,Female,120,84,188,54,102,208,118,5.5,19.1,81,198,Asymptomatic,False,0.2,False,Current,4.4,209,8.5,42.8,True,6378,71.0,0
+470,56,Male,135,82,241,52,147,225,117,5.4,34.2,82,168,Asymptomatic,False,0.3,False,Former,12.6,129,5.7,33.7,False,3394,59.1,0
+471,68,Male,113,71,177,34,82,265,151,6.7,29.9,86,137,Non-Anginal Pain,True,0.8,False,Former,1.9,95,5.5,14.1,False,6695,82.7,1
+472,56,Male,123,81,159,52,75,142,155,6.8,23.7,74,142,Non-Anginal Pain,False,0.4,False,Never,11.5,111,7.0,51.3,False,8146,73.9,0
+473,56,Male,138,89,161,53,91,106,124,5.9,26.8,92,136,Typical Angina,True,4.8,False,Never,2.4,86,8.9,32.5,True,9451,73.6,1
+474,68,Female,132,86,254,65,154,177,93,5.7,18.2,79,147,Asymptomatic,False,0.4,True,Former,9.9,139,7.0,84.7,True,9342,72.7,0
+475,70,Male,125,77,207,60,118,108,133,6.6,25.5,77,135,Atypical Angina,False,0.2,False,Former,6.3,127,6.7,75.2,False,7162,68.8,1
+476,45,Male,134,78,168,55,85,139,113,5.7,19.3,77,165,Asymptomatic,False,0.4,True,Never,12.7,133,8.1,81.1,False,6375,51.4,0
+477,60,Male,128,84,158,50,86,112,161,7.0,18.1,91,132,Non-Anginal Pain,True,0.2,False,Former,16.8,92,6.5,45.2,False,2327,82.0,1
+478,42,Female,114,85,204,57,121,190,105,5.3,33.3,88,183,Asymptomatic,False,1.4,False,Never,0.1,128,8.0,75.8,False,2052,69.2,0
+479,40,Female,116,86,199,36,130,128,123,5.8,25.9,82,183,Asymptomatic,False,0.6,False,Current,3.0,95,8.5,64.9,False,7395,27.6,0
+480,62,Male,118,81,158,32,102,93,163,7.0,27.8,74,159,Typical Angina,True,4.4,False,Current,5.6,62,5.3,11.3,False,5832,52.7,1
+481,35,Male,114,68,207,65,94,243,124,5.5,21.1,83,187,Atypical Angina,False,2.0,False,Never,6.0,175,8.8,41.0,False,7807,40.5,0
+482,56,Male,140,79,171,42,102,99,111,5.9,27.2,96,164,Asymptomatic,False,0.1,True,Never,9.5,59,5.5,38.7,False,4836,43.4,0
+483,58,Female,133,74,186,51,111,166,91,4.7,21.7,73,157,Atypical Angina,False,0.8,False,Former,8.3,166,7.6,41.1,False,7021,50.4,0
+484,65,Male,142,100,170,47,97,158,131,5.8,25.5,83,136,Atypical Angina,True,4.6,False,Former,3.0,110,6.8,62.0,True,4940,56.1,1
+485,39,Female,111,77,156,63,70,105,113,6.2,28.2,77,210,Asymptomatic,False,0.4,False,Never,2.0,268,7.2,9.8,False,6014,61.8,0
+486,59,Male,141,86,156,58,78,134,110,5.3,31.5,95,160,Asymptomatic,False,0.5,False,Never,1.7,176,4.5,60.7,True,7753,84.0,0
+487,52,Male,110,78,159,48,77,156,94,5.6,30.2,80,177,Atypical Angina,False,1.0,True,Never,3.6,102,8.2,61.8,True,7867,71.3,0
+488,73,Female,145,100,214,78,109,102,129,6.2,25.2,78,163,Asymptomatic,False,0.3,False,Former,1.6,159,7.9,64.5,False,5880,53.7,0
+489,44,Male,123,84,172,50,100,153,101,5.1,35.7,88,140,Asymptomatic,False,0.5,True,Current,1.7,100,5.8,37.6,False,6283,52.7,1
+490,40,Female,113,69,158,43,92,92,113,5.9,27.4,85,172,Non-Anginal Pain,False,1.0,False,Never,0.2,150,7.4,56.1,False,3367,63.2,0
+491,61,Male,143,92,159,86,56,49,120,5.8,19.1,71,140,Non-Anginal Pain,False,0.2,False,Never,5.7,223,5.9,44.0,False,3814,71.1,0
+492,43,Male,133,89,129,54,35,92,95,4.9,21.4,62,210,Non-Anginal Pain,False,0.4,False,Never,6.8,131,8.1,47.9,False,7228,63.4,0
+493,37,Female,131,81,201,63,94,252,110,5.2,15.0,80,176,Non-Anginal Pain,False,0.4,False,Never,17.6,124,7.4,63.6,False,4215,36.5,0
+494,66,Male,136,86,255,60,174,106,128,5.9,27.9,88,133,Asymptomatic,False,0.4,False,Current,3.1,118,8.5,50.4,False,5637,50.6,1
+495,60,Male,121,78,158,45,66,241,174,7.1,27.6,97,146,Asymptomatic,False,2.0,True,Current,5.9,111,8.1,53.8,True,6976,56.8,0
+496,18,Male,119,74,164,50,79,191,90,5.2,22.1,80,210,Atypical Angina,False,0.2,True,Never,4.7,154,6.2,72.9,False,8048,38.5,0
+497,42,Male,119,71,127,49,79,59,82,4.8,16.4,91,174,Asymptomatic,False,0.0,True,Never,2.5,0,10.5,10.1,False,4140,56.5,0
+498,40,Male,115,58,221,53,147,140,117,6.4,18.9,70,187,Asymptomatic,False,0.5,False,Current,8.4,95,8.4,37.8,False,5731,58.9,0
+499,62,Male,123,80,168,62,79,186,178,7.9,21.9,84,170,Typical Angina,True,0.5,False,Never,9.6,75,5.8,63.3,False,4955,72.7,0
+500,73,Female,132,80,199,62,120,145,105,4.8,25.9,84,162,Asymptomatic,True,2.0,False,Former,1.1,121,7.0,55.9,True,5636,60.3,0
+501,81,Female,131,92,186,65,113,90,119,6.1,24.0,102,103,Asymptomatic,False,3.1,False,Never,12.2,37,7.2,54.4,False,5355,66.6,1
+502,63,Male,126,75,153,48,76,167,142,6.8,26.8,88,150,Asymptomatic,True,1.4,True,Never,3.2,60,6.2,68.6,False,5473,71.2,1
+503,40,Male,127,79,134,45,75,98,118,5.9,22.7,75,192,Atypical Angina,True,1.2,False,Former,4.8,181,6.7,36.6,True,8923,50.6,0
+504,39,Male,121,79,153,46,82,122,139,5.7,27.0,84,188,Asymptomatic,False,0.1,True,Former,3.9,87,7.4,66.9,False,853,52.5,0
+505,42,Male,128,65,149,56,46,167,148,6.2,22.9,80,188,Asymptomatic,False,0.8,False,Former,13.7,166,4.9,49.3,False,3577,84.0,0
+506,60,Female,108,69,225,72,114,144,121,5.3,28.0,80,167,Non-Anginal Pain,False,2.8,True,Former,10.8,262,8.1,22.0,True,8308,67.3,0
+507,70,Male,127,87,262,52,155,213,133,5.5,18.3,75,157,Asymptomatic,True,0.4,True,Former,10.7,152,6.9,54.1,False,4476,41.5,0
+508,29,Female,99,63,191,45,110,201,115,5.7,26.7,89,198,Asymptomatic,False,0.5,True,Former,1.5,232,6.9,28.7,False,10324,72.9,0
+509,62,Female,127,96,192,52,112,150,123,6.0,28.8,91,151,Non-Anginal Pain,False,3.6,False,Current,0.9,175,6.7,42.2,False,5650,37.4,1
+510,66,Male,136,95,216,54,111,267,137,6.4,28.0,101,118,Asymptomatic,False,3.7,True,Former,3.6,137,7.6,59.9,False,6139,50.7,1
+511,58,Male,134,96,165,56,93,153,124,5.8,24.6,69,139,Atypical Angina,True,0.3,False,Never,2.4,59,6.9,36.5,False,3398,63.7,1
+512,90,Male,153,97,140,43,70,167,104,5.7,26.7,71,135,Asymptomatic,True,0.8,True,Never,9.6,92,8.2,49.9,True,3142,54.7,1
+513,61,Male,149,90,263,52,169,149,148,6.2,28.9,80,143,Asymptomatic,True,3.3,False,Former,1.7,86,7.8,50.2,False,5031,64.0,1
+514,54,Male,117,69,164,38,84,241,125,5.6,21.9,96,139,Typical Angina,True,1.4,False,Current,3.9,83,7.5,63.0,True,6054,34.2,1
+515,62,Female,117,85,142,42,83,97,144,6.5,21.6,80,166,Non-Anginal Pain,False,0.7,False,Never,1.1,83,7.2,45.0,False,6331,41.8,0
+516,47,Female,130,84,210,58,106,200,116,5.3,30.3,88,175,Non-Anginal Pain,False,2.7,True,Never,4.1,39,8.8,20.8,False,6082,54.3,0
+517,40,Male,117,82,213,49,116,238,113,5.2,26.8,72,178,Non-Anginal Pain,False,0.7,False,Former,2.8,176,6.0,64.6,True,6914,90.9,0
+518,59,Male,142,89,210,54,117,139,140,6.4,22.1,69,171,Asymptomatic,False,0.7,True,Never,5.5,230,8.5,62.7,True,9779,77.0,0
+519,69,Male,138,94,116,40,42,178,143,6.7,20.5,94,144,Non-Anginal Pain,False,1.5,False,Never,3.0,91,8.3,39.8,True,5040,70.9,1
+520,51,Male,107,78,150,60,66,128,88,5.2,17.5,81,171,Non-Anginal Pain,False,0.2,False,Never,2.4,101,7.6,61.4,True,7132,50.9,0
+521,66,Male,128,81,153,32,97,143,137,6.5,27.4,91,122,Asymptomatic,False,6.5,True,Current,17.1,121,6.6,36.1,False,6590,84.1,1
+522,49,Female,115,69,178,51,80,168,130,6.0,26.2,71,186,Asymptomatic,False,0.5,False,Former,0.8,174,7.3,47.6,True,9350,57.2,0
+523,75,Female,138,89,210,76,116,159,119,6.0,26.2,79,144,Asymptomatic,False,0.3,True,Never,10.0,199,8.9,62.0,False,5020,82.5,0
+524,57,Male,134,87,228,38,153,179,138,6.2,32.3,91,128,Asymptomatic,False,1.4,False,Never,6.9,107,6.1,20.7,False,4745,20.5,1
+525,61,Female,120,77,164,31,123,137,118,5.8,33.0,94,158,Asymptomatic,True,0.9,True,Current,0.1,155,7.0,65.9,False,4563,46.8,1
+526,64,Male,118,66,201,37,139,122,109,5.6,22.7,79,161,Asymptomatic,True,0.7,False,Never,5.6,95,8.3,42.7,False,5091,55.3,1
+527,36,Male,111,56,240,71,133,93,112,5.9,21.6,96,175,Typical Angina,False,0.5,False,Current,10.7,221,8.7,28.1,False,9918,58.3,0
+528,52,Male,142,91,157,52,74,193,136,6.4,30.0,85,148,Atypical Angina,True,1.3,False,Never,4.1,195,6.6,62.9,True,4841,66.5,1
+529,78,Male,119,73,141,30,96,83,107,5.3,26.8,75,127,Asymptomatic,False,0.4,False,Former,2.1,142,6.7,42.3,False,6396,77.1,0
+530,54,Female,123,79,189,69,112,142,62,4.6,15.0,84,173,Asymptomatic,False,0.5,True,Former,2.1,224,6.7,52.1,True,8417,43.5,0
+531,72,Female,140,96,113,33,58,148,165,6.8,35.7,80,136,Asymptomatic,False,0.5,False,Never,5.0,88,7.2,33.7,True,5302,62.4,0
+532,65,Female,132,84,150,59,92,103,103,5.3,16.4,79,150,Asymptomatic,True,0.2,False,Never,1.6,116,5.7,56.3,False,1414,57.3,0
+533,30,Female,113,75,171,35,105,188,149,6.4,30.1,76,199,Asymptomatic,False,0.8,False,Never,0.8,144,5.0,59.1,True,8137,47.8,0
+534,63,Male,134,98,191,45,109,178,122,5.8,20.7,88,180,Asymptomatic,False,0.4,False,Never,3.4,164,6.2,35.2,False,6951,61.4,0
+535,40,Female,126,78,193,56,68,282,103,5.3,24.6,74,188,Asymptomatic,True,0.8,True,Former,11.9,134,5.8,54.2,False,6551,62.3,0
+536,57,Female,116,82,211,77,103,169,115,5.5,25.8,85,194,Asymptomatic,False,0.2,False,Never,1.2,116,7.0,25.5,False,4734,63.1,0
+537,49,Female,116,73,142,87,35,53,95,5.4,21.1,86,170,Asymptomatic,False,0.7,False,Never,2.9,118,6.8,68.9,False,5199,73.3,0
+538,54,Male,128,80,159,63,68,72,157,7.0,34.6,75,179,Non-Anginal Pain,False,1.2,True,Never,1.6,117,8.2,51.8,True,5645,53.3,0
+539,53,Male,149,89,197,36,138,107,117,5.6,33.0,80,177,Asymptomatic,False,0.3,False,Current,6.7,148,9.0,56.3,False,7291,56.5,0
+540,57,Female,137,83,220,61,118,216,117,6.2,28.7,81,174,Asymptomatic,False,1.4,True,Former,4.6,115,5.4,53.3,False,6209,54.9,1
+541,48,Female,112,50,219,79,103,160,124,5.4,18.0,66,175,Typical Angina,False,1.6,True,Never,0.6,208,6.5,43.5,True,6122,62.1,0
+542,36,Male,119,80,189,59,90,218,64,4.1,15.0,82,178,Asymptomatic,False,2.4,False,Never,11.0,133,6.5,65.8,False,6214,77.6,0
+543,41,Male,112,77,201,46,102,175,118,5.2,23.6,79,178,Non-Anginal Pain,False,0.1,False,Never,9.9,209,5.9,48.4,True,5826,78.3,0
+544,66,Male,138,88,168,56,83,200,105,5.7,25.9,96,158,Asymptomatic,False,0.1,False,Never,2.7,4,7.5,87.2,False,3233,32.2,0
+545,76,Male,142,92,205,48,125,180,106,5.4,22.1,71,146,Asymptomatic,True,0.2,False,Never,8.5,127,6.8,67.1,False,4759,55.5,1
+546,57,Female,123,59,174,71,82,108,111,5.9,25.9,83,168,Non-Anginal Pain,False,1.6,True,Never,0.3,147,8.7,25.6,True,9121,59.2,0
+547,65,Female,174,102,207,64,88,198,128,6.1,26.1,80,143,Typical Angina,False,1.4,False,Former,7.7,144,7.7,53.7,True,5057,36.7,1
+548,67,Male,151,104,186,65,105,107,93,5.2,24.6,73,162,Non-Anginal Pain,False,0.8,False,Former,5.5,236,7.9,38.9,True,6815,44.9,0
+549,36,Female,115,82,175,54,98,129,123,5.7,16.2,78,184,Asymptomatic,False,0.4,False,Never,9.5,235,7.5,67.9,False,6924,51.3,0
+550,30,Male,136,98,202,49,106,144,137,6.0,23.1,78,202,Typical Angina,False,0.4,True,Never,1.9,100,5.6,43.3,False,5977,69.7,0
+551,53,Female,131,78,214,52,121,187,76,4.7,30.1,69,148,Non-Anginal Pain,True,2.7,False,Former,7.0,186,6.6,56.0,True,7911,52.0,1
+552,29,Female,124,77,119,50,38,131,124,5.4,19.6,90,157,Non-Anginal Pain,False,0.7,False,Former,8.7,189,7.8,60.2,True,8113,63.7,0
+553,50,Male,132,95,172,45,113,104,92,5.0,16.8,70,178,Non-Anginal Pain,False,1.0,False,Never,5.8,160,8.3,0.0,False,5283,67.5,0
+554,35,Female,88,61,142,70,62,80,118,5.9,20.0,89,178,Atypical Angina,False,0.3,False,Never,4.9,76,6.9,46.2,False,2927,68.5,0
+555,46,Male,146,100,170,59,75,199,125,6.3,30.2,95,162,Asymptomatic,False,0.6,False,Never,4.5,103,6.7,74.0,False,3395,65.4,0
+556,44,Male,124,85,166,41,80,195,151,6.7,26.9,75,184,Asymptomatic,True,0.4,False,Former,1.6,70,7.2,51.5,False,3447,52.1,0
+557,61,Male,129,89,231,63,116,244,86,5.2,26.6,71,163,Asymptomatic,False,0.1,True,Never,14.9,156,6.1,49.6,True,8097,64.2,0
+558,46,Male,136,91,188,54,92,185,137,6.8,22.4,69,191,Atypical Angina,False,0.1,False,Former,22.3,139,8.7,52.7,False,7326,68.7,0
+559,39,Male,116,75,159,48,84,114,134,6.2,22.2,89,172,Asymptomatic,False,0.8,False,Current,11.0,74,4.8,46.3,True,10565,54.4,0
+560,55,Male,130,79,212,43,107,235,137,6.6,31.0,72,153,Atypical Angina,False,0.4,True,Never,6.8,5,4.8,63.7,False,4443,41.4,1
+561,90,Female,157,97,154,33,98,97,111,6.0,33.5,79,110,Asymptomatic,True,2.0,False,Never,2.6,45,6.3,29.5,False,2004,55.6,1
+562,60,Female,143,97,203,54,99,196,100,5.8,28.2,75,172,Non-Anginal Pain,True,0.8,False,Former,1.0,195,7.5,58.4,False,4759,80.4,0
+563,29,Male,117,74,178,47,102,157,130,6.6,27.9,88,204,Atypical Angina,False,0.2,True,Current,15.2,224,7.3,54.1,False,4865,79.9,0
+564,55,Female,140,90,215,74,99,154,101,5.1,19.4,99,175,Asymptomatic,False,0.5,False,Never,1.9,228,5.8,71.6,False,6071,62.1,0
+565,87,Female,124,77,222,81,128,35,154,6.8,17.3,86,129,Asymptomatic,False,1.0,False,Never,1.4,176,7.4,41.5,True,10491,68.7,0
+566,56,Male,150,93,178,49,87,194,134,6.2,31.2,85,142,Atypical Angina,True,2.2,True,Never,9.6,165,5.4,59.3,True,7095,68.8,1
+567,71,Female,133,83,179,48,121,49,101,5.8,24.6,83,154,Atypical Angina,False,0.7,False,Never,4.8,99,7.7,43.9,True,4003,59.0,0
+568,68,Female,118,75,186,62,86,194,109,5.3,26.4,85,163,Asymptomatic,False,0.6,False,Never,6.8,51,7.8,64.4,False,4982,41.6,0
+569,69,Female,151,83,243,54,143,223,112,5.6,29.0,74,131,Asymptomatic,False,3.5,False,Never,7.4,46,5.1,47.4,False,6758,50.9,1
+570,68,Male,111,72,200,30,147,135,150,6.3,32.1,95,109,Asymptomatic,False,0.4,False,Never,4.9,134,6.2,53.2,False,6417,56.8,1
+571,58,Female,131,79,199,68,110,105,126,5.9,16.9,73,179,Asymptomatic,False,0.7,False,Never,6.3,152,8.2,64.8,True,2018,53.9,0
+572,52,Male,136,88,196,52,109,91,126,6.0,20.9,73,152,Typical Angina,True,0.4,False,Never,9.2,182,8.3,42.4,True,7227,71.3,1
+573,50,Female,151,91,225,72,122,159,155,6.6,30.7,89,168,Atypical Angina,False,0.4,True,Never,22.1,75,6.0,36.6,True,4334,50.7,0
+574,56,Female,118,79,137,28,85,140,143,6.4,35.8,91,161,Asymptomatic,False,0.8,False,Never,2.6,64,7.3,24.7,True,5714,50.5,0
+575,60,Male,125,73,195,45,116,186,119,5.9,32.8,82,158,Asymptomatic,False,1.7,False,Never,17.6,87,8.0,60.1,False,1896,45.4,0
+576,37,Male,158,104,202,46,114,215,112,5.3,32.9,96,177,Atypical Angina,True,0.6,False,Never,4.5,143,8.9,56.7,False,7939,60.0,0
+577,50,Female,132,89,99,36,59,45,78,5.0,19.1,95,172,Asymptomatic,False,0.1,False,Never,0.2,198,7.5,62.5,False,7786,75.2,0
+578,53,Female,146,81,201,50,113,172,131,6.1,35.5,85,164,Non-Anginal Pain,False,0.4,False,Former,5.8,102,6.8,49.4,True,4476,58.6,0
+579,55,Male,112,67,240,54,126,311,131,6.7,30.4,91,167,Asymptomatic,False,2.0,False,Current,10.4,93,7.6,4.8,False,3182,56.2,0
+580,50,Male,123,86,209,71,98,198,128,5.4,25.2,72,194,Atypical Angina,False,0.7,True,Never,2.2,215,8.0,39.7,False,9427,49.2,0
+581,64,Male,115,77,260,82,151,127,150,6.6,28.1,75,161,Asymptomatic,False,0.2,False,Former,3.7,123,9.0,41.8,True,6668,45.5,0
+582,53,Male,123,77,153,48,71,155,125,6.3,33.9,69,156,Asymptomatic,False,1.9,False,Never,1.6,213,6.4,62.5,True,6748,41.6,0
+583,49,Male,120,73,132,51,60,145,154,6.8,22.7,78,198,Typical Angina,False,0.8,True,Former,7.3,164,6.5,58.3,False,3548,59.1,0
+584,38,Male,143,94,190,39,101,242,79,4.9,28.8,62,169,Asymptomatic,False,0.1,False,Never,3.1,221,7.9,45.6,False,3713,61.7,0
+585,44,Female,138,86,196,59,105,143,166,6.8,29.7,84,149,Asymptomatic,True,2.5,False,Never,4.3,68,4.9,82.8,False,2286,50.1,0
+586,57,Male,128,68,201,66,96,213,131,5.5,19.0,76,175,Atypical Angina,True,1.4,False,Former,20.4,221,5.5,56.9,True,10031,74.2,0
+587,56,Female,125,85,176,54,93,185,125,5.6,22.5,82,157,Typical Angina,False,1.9,True,Never,11.2,79,6.4,18.1,False,5845,33.3,1
+588,27,Male,125,85,165,50,77,166,106,5.1,20.7,75,206,Typical Angina,False,1.2,False,Never,5.6,215,4.8,83.3,False,8164,77.8,0
+589,66,Female,146,100,246,50,152,169,169,7.3,29.8,91,124,Typical Angina,True,2.1,False,Never,22.3,134,6.6,52.3,True,5466,67.2,1
+590,45,Female,129,83,147,47,63,133,125,5.7,22.9,89,185,Atypical Angina,False,0.6,True,Never,0.3,184,5.4,41.0,True,3944,76.4,0
+591,42,Male,146,83,185,30,126,164,89,5.2,26.1,81,193,Asymptomatic,False,0.4,True,Current,9.2,166,4.9,48.5,True,10080,44.1,0
+592,68,Female,139,72,188,62,117,109,109,5.7,19.1,69,164,Non-Anginal Pain,False,1.0,True,Never,6.1,162,7.8,77.5,False,5571,54.7,0
+593,69,Male,133,75,179,54,88,207,128,5.7,22.4,90,167,Non-Anginal Pain,False,0.3,False,Never,6.1,119,6.0,52.8,False,5942,43.1,0
+594,45,Male,133,84,211,44,144,157,130,6.3,29.3,98,191,Asymptomatic,True,1.9,True,Former,7.3,88,8.1,73.0,False,4022,34.6,1
+595,49,Female,122,82,204,47,124,194,151,6.5,31.3,91,185,Asymptomatic,False,0.5,True,Never,5.3,201,6.6,51.0,True,4554,49.9,0
+596,38,Female,136,85,141,50,56,131,166,6.7,30.8,85,206,Asymptomatic,False,0.1,True,Never,0.8,152,7.5,60.1,False,5028,77.4,0
+597,65,Female,132,78,147,37,96,105,146,6.7,29.7,94,137,Asymptomatic,False,3.4,True,Current,2.5,58,7.5,56.7,False,7031,41.0,0
+598,66,Male,138,86,218,62,98,208,133,6.3,24.0,88,108,Asymptomatic,True,0.7,True,Never,1.9,39,6.2,77.7,False,4617,65.9,1
+599,48,Female,124,65,128,37,60,159,118,5.3,24.6,75,172,Asymptomatic,False,0.4,True,Never,2.6,121,7.9,43.7,False,4330,44.6,0
+600,72,Male,117,72,149,63,73,136,140,6.9,25.2,88,149,Asymptomatic,False,1.1,True,Never,5.3,74,6.6,18.3,False,5370,64.2,0
+601,66,Female,140,95,172,44,114,40,109,5.0,21.6,91,159,Atypical Angina,False,1.1,False,Current,3.7,94,7.8,52.2,False,6432,52.4,0
+602,52,Female,130,89,177,52,93,157,126,5.6,26.8,104,193,Asymptomatic,True,1.8,False,Current,2.2,124,5.5,77.7,False,7278,51.6,0
+603,63,Male,131,80,160,51,86,96,97,5.3,15.0,71,166,Asymptomatic,False,0.2,True,Never,3.5,211,6.0,81.6,False,6129,48.2,0
+604,32,Male,116,71,189,46,91,238,98,4.9,30.0,72,210,Typical Angina,False,0.1,False,Former,9.1,101,6.5,77.3,True,6920,44.9,0
+605,51,Male,120,74,151,35,103,112,121,5.9,33.7,88,140,Typical Angina,True,0.5,True,Never,2.2,150,6.6,44.1,True,10768,63.4,1
+606,57,Male,122,81,223,49,161,89,114,5.2,23.1,62,160,Typical Angina,False,0.2,False,Former,15.3,132,7.9,44.9,False,7225,61.1,0
+607,54,Female,122,72,174,54,103,94,114,6.1,24.1,72,173,Asymptomatic,False,0.4,False,Former,3.0,211,6.0,44.5,False,2450,50.8,0
+608,81,Male,123,78,173,40,90,208,128,5.4,27.2,89,120,Non-Anginal Pain,True,0.2,False,Never,4.1,158,8.6,78.0,False,5947,72.3,1
+609,58,Male,139,93,232,46,133,289,124,5.8,31.6,89,152,Atypical Angina,True,0.7,False,Never,5.1,250,7.6,45.9,True,11163,64.3,1
+610,59,Male,124,94,240,53,135,230,101,5.2,27.7,89,155,Atypical Angina,True,2.9,False,Current,1.9,85,6.1,48.6,False,7332,58.7,1
+611,37,Female,118,75,160,56,78,117,60,4.0,16.8,79,183,Non-Anginal Pain,False,0.1,False,Never,9.5,146,8.0,42.5,False,4391,59.6,0
+612,52,Female,141,81,248,49,150,223,149,6.9,35.6,88,170,Asymptomatic,False,0.6,False,Former,5.2,148,7.9,51.2,True,9686,57.3,0
+613,44,Female,113,63,211,52,110,233,100,5.5,29.7,103,204,Non-Anginal Pain,False,0.1,False,Current,3.5,125,6.1,80.8,False,5105,58.9,0
+614,85,Male,134,72,237,57,144,95,144,6.7,25.4,88,140,Asymptomatic,True,0.9,False,Never,8.1,0,7.6,57.1,False,4596,69.0,1
+615,49,Male,127,90,159,35,98,136,80,4.8,25.9,62,189,Non-Anginal Pain,False,0.4,False,Former,19.3,276,6.2,42.7,False,6513,53.7,0
+616,56,Female,155,98,144,54,60,186,103,5.7,29.8,103,200,Atypical Angina,False,0.2,False,Never,3.2,0,7.5,57.9,False,6780,54.0,0
+617,70,Female,129,87,185,39,116,150,145,6.9,32.4,80,131,Non-Anginal Pain,True,1.2,False,Former,0.6,0,8.3,72.9,False,1778,49.2,1
+618,63,Female,130,84,236,66,131,142,96,5.1,25.7,81,161,Asymptomatic,False,3.1,False,Never,9.6,155,7.3,39.2,False,7060,66.4,0
+619,36,Male,128,84,173,55,91,150,130,6.7,20.1,96,189,Atypical Angina,False,0.4,False,Never,2.4,104,5.0,53.9,False,4425,55.9,0
+620,62,Female,134,81,204,50,120,182,135,6.5,25.6,80,165,Non-Anginal Pain,False,1.3,False,Current,7.2,140,6.0,53.1,False,2770,69.6,0
+621,63,Male,149,89,206,71,101,160,108,5.4,25.9,67,169,Typical Angina,True,1.2,False,Never,9.1,209,7.2,40.3,True,6955,77.1,1
+622,52,Male,140,84,219,57,137,120,158,7.1,25.9,83,183,Atypical Angina,False,1.8,True,Former,1.9,81,7.9,33.8,False,3690,40.5,0
+623,60,Female,105,64,193,55,96,211,104,5.5,20.7,82,193,Non-Anginal Pain,False,0.6,False,Never,2.1,138,5.9,63.5,False,6228,65.6,0
+624,55,Female,136,85,229,57,143,176,95,5.0,26.7,71,176,Non-Anginal Pain,False,0.8,True,Never,3.5,173,8.3,37.1,False,4328,60.1,0
+625,36,Male,114,66,174,35,93,170,121,6.1,19.3,80,205,Typical Angina,False,1.3,False,Current,4.3,125,7.0,40.5,True,5115,57.0,0
+626,47,Male,123,83,221,69,124,170,132,6.5,30.8,87,174,Atypical Angina,False,0.4,False,Former,8.3,90,6.1,55.9,True,4796,60.9,0
+627,54,Female,144,89,171,63,70,164,145,7.1,25.7,86,165,Asymptomatic,True,0.1,True,Former,1.1,118,6.6,27.1,True,6733,51.0,0
+628,46,Female,111,59,179,43,107,194,124,6.0,26.4,80,173,Asymptomatic,False,0.2,False,Former,1.8,133,7.8,44.3,False,4215,61.0,0
+629,61,Female,106,62,194,51,135,116,133,5.9,25.9,93,148,Asymptomatic,True,1.0,False,Former,9.5,56,6.1,52.4,False,4238,32.3,0
+630,67,Male,133,83,107,51,38,84,89,4.8,23.7,75,144,Non-Anginal Pain,False,0.3,True,Former,1.7,126,7.1,33.7,False,6130,71.0,0
+631,58,Male,110,66,218,74,122,108,122,5.5,20.5,75,162,Asymptomatic,True,0.4,False,Former,1.7,303,8.1,57.8,True,8164,80.1,0
+632,49,Female,118,67,167,58,81,121,130,6.1,28.9,84,190,Asymptomatic,True,0.0,True,Never,0.7,134,7.2,54.5,False,5505,73.5,0
+633,72,Female,119,89,140,54,69,144,148,6.6,25.8,80,138,Asymptomatic,False,0.4,False,Former,13.6,57,5.3,47.7,False,4978,56.5,0
+634,56,Female,133,73,231,60,145,146,124,5.9,25.2,78,134,Atypical Angina,False,2.7,False,Former,5.4,152,7.2,44.6,False,5163,54.4,1
+635,59,Female,121,84,213,78,98,207,145,5.8,23.3,91,183,Non-Anginal Pain,False,2.2,False,Former,2.0,147,7.5,58.0,True,5395,51.0,0
+636,44,Male,132,86,217,61,102,214,135,6.1,21.5,82,196,Typical Angina,False,0.1,False,Former,41.0,177,7.3,42.2,False,3857,52.8,0
+637,51,Male,111,57,139,50,58,173,125,5.9,29.0,82,181,Asymptomatic,False,0.3,True,Never,13.3,160,8.5,57.7,True,4086,96.6,0
+638,67,Female,129,86,178,61,89,136,108,5.7,28.2,90,154,Asymptomatic,True,0.3,True,Current,14.6,157,7.0,46.5,True,4740,53.7,1
+639,64,Male,122,76,230,68,137,147,74,4.5,27.2,84,137,Asymptomatic,True,0.7,False,Never,2.3,102,6.3,75.8,False,6993,64.4,1
+640,52,Male,117,69,216,57,122,141,93,4.9,22.9,96,153,Asymptomatic,False,0.9,False,Former,5.4,123,6.0,42.6,True,7545,54.2,0
+641,54,Female,125,77,218,69,119,129,117,6.1,27.3,72,159,Asymptomatic,False,0.8,False,Never,10.6,196,6.0,60.7,False,6155,66.4,0
+642,57,Male,131,93,217,55,130,116,93,5.2,27.0,89,170,Atypical Angina,True,0.1,False,Never,3.2,52,7.9,39.8,True,6246,67.7,0
+643,42,Female,108,68,176,62,105,101,125,6.0,24.3,84,190,Non-Anginal Pain,False,1.1,False,Current,2.1,139,7.3,40.6,False,6355,65.6,0
+644,52,Female,131,86,223,70,100,189,73,4.9,24.6,86,181,Atypical Angina,False,0.3,True,Current,3.2,156,8.9,60.4,True,8784,84.1,0
+645,47,Female,129,91,225,63,139,68,160,6.2,27.6,82,179,Asymptomatic,False,0.1,False,Current,3.9,246,5.7,38.6,True,7456,61.4,0
+646,36,Female,135,79,192,65,78,193,133,6.2,31.5,70,188,Typical Angina,False,0.6,False,Never,5.0,147,7.4,42.3,True,8326,67.5,0
+647,56,Male,143,95,210,47,133,127,114,5.2,22.9,75,175,Asymptomatic,False,1.0,False,Former,3.2,167,7.1,48.4,True,7468,45.7,0
+648,52,Female,114,73,195,63,105,129,131,6.2,18.6,75,169,Typical Angina,False,1.4,True,Never,1.0,163,6.4,50.2,False,6463,47.2,0
+649,35,Female,107,70,210,59,122,181,158,6.8,25.5,62,195,Asymptomatic,False,0.8,False,Never,6.7,104,5.5,49.1,False,4427,55.4,0
+650,44,Female,108,75,171,51,108,69,130,6.3,24.4,76,176,Non-Anginal Pain,False,1.2,False,Never,1.1,173,7.7,2.1,False,5433,89.8,0
+651,53,Female,133,70,139,44,87,113,114,6.0,27.7,84,190,Atypical Angina,False,1.6,False,Former,0.1,118,5.6,69.4,False,5272,79.7,0
+652,18,Female,126,82,165,49,91,162,70,4.1,23.5,94,210,Asymptomatic,False,0.1,False,Never,6.7,166,6.7,34.9,True,7658,68.1,0
+653,56,Female,148,97,165,43,101,162,104,5.4,26.8,78,156,Typical Angina,False,0.4,False,Never,2.5,65,4.9,79.2,False,5465,48.7,0
+654,57,Female,112,74,232,65,138,158,100,5.6,22.4,77,154,Atypical Angina,False,0.1,False,Never,3.2,97,5.4,11.7,False,8850,47.5,0
+655,62,Female,130,72,204,64,112,130,126,6.1,26.6,68,161,Non-Anginal Pain,False,1.3,False,Never,0.4,255,7.0,22.6,False,5501,72.6,0
+656,46,Male,135,90,185,51,92,164,120,5.7,24.7,71,186,Asymptomatic,False,0.6,False,Never,4.0,112,7.6,49.7,False,4695,57.1,0
+657,36,Female,111,68,148,59,80,122,120,5.1,21.2,91,210,Non-Anginal Pain,True,0.5,False,Never,2.6,169,8.2,48.7,True,6619,63.1,0
+658,62,Male,123,79,199,58,118,102,155,6.9,20.7,83,180,Asymptomatic,False,0.0,False,Never,9.9,139,8.1,47.9,True,5938,61.4,0
+659,36,Male,122,70,158,46,81,209,103,5.5,24.6,92,202,Non-Anginal Pain,False,2.2,False,Never,6.8,144,5.5,35.0,False,8806,86.1,0
+660,61,Female,129,76,238,75,143,63,97,5.4,19.5,95,156,Typical Angina,False,0.1,True,Former,2.1,62,7.9,55.2,True,5724,59.7,0
+661,45,Male,139,78,118,35,35,212,111,5.8,31.4,90,165,Non-Anginal Pain,True,2.1,True,Current,10.5,64,6.1,64.7,False,4650,57.2,1
+662,41,Female,126,72,182,43,93,194,85,5.0,26.0,80,192,Typical Angina,True,0.7,True,Never,11.9,177,8.3,45.8,True,3233,60.5,0
+663,58,Female,134,74,245,51,153,164,136,6.8,26.3,91,177,Asymptomatic,True,1.5,False,Current,4.0,156,8.4,34.9,True,4787,70.6,0
+664,69,Male,157,88,146,43,79,138,132,5.9,28.7,79,167,Asymptomatic,False,0.6,False,Never,3.3,173,6.2,55.7,True,9398,50.9,0
+665,52,Male,133,82,148,54,83,108,85,4.7,26.1,78,195,Atypical Angina,False,1.5,False,Never,7.6,181,7.5,39.1,False,7313,72.9,0
+666,51,Male,149,106,252,42,184,128,84,4.9,29.2,93,165,Atypical Angina,False,2.4,False,Never,3.4,167,8.2,88.4,True,8761,49.4,1
+667,32,Male,126,85,149,36,81,129,124,5.7,28.1,86,182,Asymptomatic,False,0.5,True,Never,3.6,30,6.5,68.9,False,8451,46.0,1
+668,65,Female,141,85,219,64,127,162,112,5.5,20.2,70,153,Asymptomatic,True,0.2,False,Current,6.2,220,6.5,41.7,False,7260,43.9,0
+669,55,Female,112,63,192,88,82,106,64,4.5,20.2,72,176,Atypical Angina,False,0.7,True,Never,3.6,198,7.5,36.8,False,7328,57.4,0
+670,50,Male,103,68,164,64,54,171,91,4.9,25.7,71,189,Non-Anginal Pain,False,2.2,False,Never,18.0,210,8.0,81.9,True,7374,64.8,0
+671,71,Male,122,84,263,30,191,230,139,6.3,26.9,96,159,Atypical Angina,True,1.0,False,Former,1.7,56,7.9,41.5,False,6429,63.4,1
+672,34,Male,107,70,165,45,79,172,75,4.5,28.5,83,196,Non-Anginal Pain,False,0.1,True,Former,3.4,251,5.0,15.1,False,5662,60.5,0
+673,47,Female,111,77,182,62,91,150,93,5.5,26.0,71,180,Asymptomatic,False,0.6,True,Former,1.4,166,5.7,22.6,True,12152,62.5,0
+674,54,Male,122,78,154,66,69,143,117,5.7,26.4,86,172,Non-Anginal Pain,False,0.2,False,Never,11.2,196,7.5,60.1,False,6854,59.2,0
+675,50,Female,127,66,223,52,138,187,101,6.2,22.8,80,180,Atypical Angina,False,0.6,False,Never,2.9,172,9.1,55.1,False,6373,85.9,0
+676,22,Female,117,75,160,48,92,137,117,6.0,30.3,86,199,Typical Angina,False,2.5,False,Former,21.3,79,6.0,39.5,True,8622,55.2,0
+677,59,Male,152,100,217,70,117,127,137,6.3,26.7,69,150,Atypical Angina,False,4.9,True,Former,6.2,180,8.4,33.8,False,4451,57.5,1
+678,54,Male,121,76,144,66,68,84,101,5.3,24.5,85,159,Non-Anginal Pain,False,0.6,True,Former,1.9,142,5.3,49.6,True,6354,58.5,0
+679,67,Male,115,68,189,56,109,162,85,5.3,22.8,81,138,Non-Anginal Pain,False,0.1,False,Never,6.2,105,5.0,59.7,False,3495,54.8,0
+680,81,Female,140,79,202,51,129,107,118,6.3,26.9,96,119,Asymptomatic,True,1.0,False,Never,0.5,0,7.1,50.4,False,3921,46.0,1
+681,52,Female,150,94,233,90,93,204,106,5.4,28.9,76,161,Non-Anginal Pain,False,0.4,False,Never,3.8,215,8.2,46.1,False,5414,76.1,0
+682,59,Female,148,93,225,64,136,113,145,6.3,23.3,70,148,Atypical Angina,False,3.0,True,Never,3.9,107,6.9,34.1,True,4411,89.4,1
+683,57,Female,146,79,203,57,96,258,119,5.7,23.0,75,147,Asymptomatic,False,0.4,False,Current,24.1,292,8.1,32.1,True,8295,66.1,0
+684,56,Male,111,59,191,70,91,157,80,4.3,22.6,79,171,Non-Anginal Pain,False,0.7,False,Former,2.6,157,5.1,48.7,True,3452,62.2,0
+685,52,Male,124,84,188,48,127,172,118,5.4,29.9,79,167,Asymptomatic,False,0.7,True,Never,19.5,137,6.9,36.1,False,6644,54.2,0
+686,59,Male,138,96,201,51,110,205,130,6.3,23.5,79,147,Asymptomatic,True,0.8,False,Current,7.8,144,7.2,53.1,False,5953,69.1,1
+687,69,Female,135,106,105,52,58,64,85,4.7,23.1,85,176,Asymptomatic,False,1.8,False,Former,4.7,212,7.5,24.0,True,9893,68.8,0
+688,43,Female,126,88,201,44,113,199,137,6.3,34.6,94,155,Asymptomatic,False,0.3,False,Never,0.4,33,8.7,44.4,False,4336,60.5,0
+689,79,Female,159,80,225,58,130,162,128,5.9,25.8,78,123,Asymptomatic,False,0.3,False,Current,4.9,166,7.8,29.0,False,5444,33.9,1
+690,61,Female,140,79,161,46,103,126,150,6.4,28.9,82,150,Typical Angina,False,0.6,False,Former,1.9,12,7.6,56.9,False,3326,46.6,1
+691,58,Male,136,84,200,42,103,232,127,6.0,24.4,94,155,Asymptomatic,False,0.4,False,Current,20.7,60,8.3,53.1,False,7197,63.0,0
+692,25,Male,118,60,210,40,142,139,163,6.8,32.9,87,210,Asymptomatic,False,1.3,False,Current,2.8,144,6.7,45.3,True,8811,69.9,0
+693,54,Female,110,81,187,64,71,203,98,5.4,22.2,76,193,Atypical Angina,False,1.0,False,Never,1.8,201,5.0,30.6,False,8079,84.1,0
+694,41,Male,135,84,204,34,136,201,106,5.1,30.5,102,181,Asymptomatic,True,4.0,True,Current,8.6,109,5.8,40.5,False,2638,38.3,1
+695,61,Female,114,67,233,59,146,152,165,6.7,25.4,90,190,Asymptomatic,False,0.0,True,Never,11.4,192,6.8,67.9,True,7357,67.1,0
+696,66,Female,139,83,214,71,103,166,131,6.1,25.3,75,149,Non-Anginal Pain,False,0.1,False,Former,2.4,115,4.3,40.5,False,4852,52.4,0
+697,69,Female,135,81,204,38,98,282,148,6.9,33.6,79,147,Asymptomatic,True,0.9,True,Current,0.7,47,8.6,40.3,False,1362,37.3,1
+698,52,Female,124,75,198,35,129,199,165,6.8,30.6,77,138,Atypical Angina,False,2.5,False,Current,5.9,223,7.3,30.5,True,6969,41.4,1
+699,53,Female,131,82,233,77,122,116,104,5.6,19.4,78,189,Non-Anginal Pain,True,0.1,True,Never,5.4,186,6.8,67.2,True,8761,54.8,0
+700,60,Male,125,79,187,63,98,126,105,5.5,23.2,72,165,Asymptomatic,False,0.5,False,Never,5.0,87,5.3,69.9,False,3516,54.6,0
+701,27,Male,120,80,124,24,77,99,138,6.1,23.7,91,198,Asymptomatic,False,0.4,True,Current,2.8,4,6.2,56.8,False,3654,23.4,0
+702,48,Female,109,76,126,31,64,184,129,6.3,27.6,94,171,Non-Anginal Pain,True,1.3,False,Current,16.1,113,6.2,34.4,True,6883,49.7,1
+703,47,Male,124,61,193,51,119,127,96,4.8,35.0,68,179,Asymptomatic,False,1.2,False,Never,6.8,183,7.5,34.4,True,6465,54.9,0
+704,61,Male,142,89,192,53,108,146,123,5.9,26.9,83,141,Atypical Angina,False,2.6,False,Never,8.1,258,3.8,32.9,False,7672,49.4,1
+705,48,Male,132,83,176,62,82,196,113,5.4,21.8,72,172,Asymptomatic,False,0.1,False,Never,12.1,169,5.5,41.2,True,7152,69.8,0
+706,64,Male,122,71,130,41,49,205,141,5.9,22.3,84,163,Asymptomatic,False,0.1,False,Never,1.7,32,7.6,42.1,False,6335,58.5,0
+707,51,Female,112,65,173,80,65,92,98,5.2,21.6,75,192,Non-Anginal Pain,False,1.4,False,Never,0.3,284,8.2,38.3,False,5326,72.7,0
+708,65,Male,144,97,188,84,95,122,132,6.3,22.6,93,145,Atypical Angina,True,1.1,True,Former,2.1,141,6.3,56.8,False,901,67.1,1
+709,83,Male,177,115,213,39,131,246,135,6.0,37.0,88,126,Non-Anginal Pain,False,3.0,False,Former,18.4,149,8.4,47.9,False,7762,43.0,1
+710,74,Female,146,92,183,59,110,152,113,5.9,17.8,83,153,Asymptomatic,False,0.4,False,Never,6.1,146,6.8,65.6,True,9151,42.3,0
+711,66,Male,129,83,213,50,135,188,131,6.2,22.5,80,152,Non-Anginal Pain,True,1.1,True,Never,7.8,162,6.6,64.7,True,10809,34.4,1
+712,69,Female,141,81,222,70,96,240,153,6.5,24.8,74,135,Asymptomatic,True,0.0,False,Former,7.9,187,6.5,51.6,False,4848,70.6,0
+713,49,Female,130,85,197,60,89,212,140,6.3,26.1,86,178,Atypical Angina,False,0.8,True,Never,33.6,62,7.3,31.2,False,7209,67.6,0
+714,44,Male,135,80,206,60,104,197,135,6.5,32.1,99,165,Typical Angina,False,0.9,True,Never,5.3,140,7.0,45.3,False,3344,71.0,1
+715,43,Female,111,83,167,56,92,84,84,5.1,26.9,66,157,Asymptomatic,False,0.7,True,Never,4.1,142,8.5,59.5,False,3544,59.4,1
+716,57,Male,133,73,256,67,140,266,136,5.8,27.6,88,163,Asymptomatic,False,0.1,True,Never,1.6,128,6.5,59.9,False,4013,64.9,0
+717,73,Male,134,95,174,46,91,170,97,5.2,20.9,86,120,Asymptomatic,False,0.4,True,Never,10.9,119,6.4,26.4,False,4265,59.2,0
+718,45,Male,145,85,187,18,117,141,79,5.2,30.2,86,183,Atypical Angina,False,0.0,False,Current,9.0,71,6.3,52.1,False,5953,58.8,0
+719,60,Male,135,89,169,49,92,129,95,4.5,26.9,80,180,Non-Anginal Pain,False,0.4,False,Current,10.2,146,7.3,31.4,True,9850,71.1,0
+720,38,Male,93,71,138,30,88,146,96,5.3,30.2,70,186,Asymptomatic,False,0.9,True,Former,11.4,171,7.2,34.4,True,7172,57.4,0
+721,38,Male,130,75,200,45,123,171,131,5.9,31.6,76,178,Non-Anginal Pain,False,0.1,True,Former,2.5,98,5.1,50.9,True,8387,60.0,0
+722,65,Male,128,83,179,57,98,85,125,6.0,29.5,80,159,Non-Anginal Pain,False,0.3,False,Never,5.7,154,5.6,35.5,True,5462,44.4,0
+723,45,Male,124,81,196,49,113,149,96,5.9,26.7,73,168,Non-Anginal Pain,False,1.6,False,Former,14.2,124,7.0,46.6,True,5966,74.9,0
+724,45,Male,122,78,184,63,80,233,123,6.4,20.2,66,170,Non-Anginal Pain,False,0.2,False,Never,4.9,245,6.8,49.1,True,8416,74.9,0
+725,80,Female,147,84,217,55,118,245,145,6.4,28.4,89,130,Non-Anginal Pain,True,1.9,False,Former,3.9,142,5.3,57.1,False,5132,54.8,1
+726,55,Female,149,83,181,73,88,112,112,5.8,22.1,86,168,Typical Angina,False,0.2,True,Never,6.5,126,6.9,66.7,False,5988,72.2,0
+727,53,Female,135,82,185,67,106,93,128,6.0,21.9,93,162,Atypical Angina,False,0.9,False,Current,11.5,182,6.2,50.8,False,4863,44.5,0
+728,51,Female,137,81,130,58,76,75,106,5.7,19.6,82,175,Asymptomatic,True,1.0,True,Current,1.0,71,8.3,32.4,False,5588,57.8,0
+729,59,Female,109,78,213,62,131,142,95,4.4,20.9,75,181,Asymptomatic,False,1.3,False,Never,2.8,115,9.1,20.2,False,2206,56.4,0
+730,45,Male,122,73,195,51,118,109,116,5.7,19.5,78,210,Asymptomatic,False,0.2,False,Never,6.8,144,5.6,52.8,False,7932,48.9,0
+731,55,Female,131,78,164,51,98,65,154,6.9,22.9,83,194,Atypical Angina,False,1.3,True,Former,0.7,211,8.1,48.8,True,8986,49.5,0
+732,68,Male,149,93,180,73,110,65,139,6.9,19.4,80,133,Typical Angina,False,4.3,False,Former,2.9,108,4.9,47.8,False,5348,35.2,1
+733,50,Female,125,82,109,65,54,81,109,5.8,26.1,86,158,Atypical Angina,False,0.9,False,Never,2.4,161,8.4,38.7,True,6529,89.4,0
+734,23,Female,117,73,206,66,102,165,121,5.2,29.7,87,200,Asymptomatic,False,0.3,False,Never,0.4,235,6.6,72.2,False,7746,59.1,0
+735,45,Male,117,83,151,69,58,97,110,5.9,22.8,82,182,Non-Anginal Pain,False,0.9,False,Former,12.7,199,5.6,36.6,True,8135,71.9,0
+736,64,Male,140,102,214,40,133,124,191,7.6,25.1,85,137,Asymptomatic,False,0.4,False,Never,3.0,74,7.6,42.9,False,7566,38.1,1
+737,69,Female,152,101,210,60,120,153,90,4.9,30.4,84,147,Asymptomatic,True,1.1,False,Former,0.4,180,7.1,22.1,False,1749,55.3,0
+738,59,Female,143,85,210,42,147,113,101,5.1,22.3,65,159,Asymptomatic,False,0.4,False,Never,9.3,206,8.2,62.8,True,7550,45.8,0
+739,73,Male,139,79,159,39,103,122,88,5.0,19.3,78,148,Asymptomatic,False,0.1,False,Never,4.7,130,7.4,38.6,True,3418,35.7,0
+740,40,Male,115,65,183,66,85,153,118,5.5,27.0,76,179,Asymptomatic,False,0.5,False,Never,2.3,208,6.3,73.0,True,7580,73.6,0
+741,71,Female,125,73,189,55,126,149,83,5.4,21.6,79,135,Non-Anginal Pain,True,0.6,False,Current,2.5,58,7.3,36.5,False,621,56.0,1
+742,57,Male,122,81,180,52,86,166,143,6.3,23.4,80,143,Asymptomatic,False,0.5,False,Never,2.8,34,7.4,41.1,False,2802,47.8,0
+743,63,Female,139,72,173,49,89,170,112,5.7,28.8,82,173,Atypical Angina,False,2.7,False,Former,0.2,82,8.0,31.5,False,9434,50.3,0
+744,18,Male,116,67,115,51,40,124,142,6.5,30.8,73,206,Typical Angina,True,0.0,False,Never,1.5,193,6.3,55.5,False,7566,63.6,0
+745,66,Male,154,96,189,64,101,134,82,4.4,24.9,78,149,Asymptomatic,False,0.3,True,Former,8.0,243,8.3,37.1,True,7613,45.3,1
+746,57,Female,130,87,104,25,62,35,114,5.6,26.2,87,183,Non-Anginal Pain,False,1.0,False,Never,2.0,231,6.9,46.2,True,7247,48.6,0
+747,79,Female,130,89,239,60,156,97,157,6.4,25.0,70,128,Asymptomatic,False,1.5,True,Former,3.9,150,8.7,49.0,True,7596,50.2,1
+748,56,Male,123,78,139,42,90,35,98,4.6,22.2,68,150,Non-Anginal Pain,False,0.5,False,Never,13.4,162,7.9,59.4,True,7300,76.4,0
+749,41,Male,107,69,177,37,107,153,137,7.0,23.2,74,198,Non-Anginal Pain,False,1.4,False,Current,2.9,185,6.0,57.7,True,7510,45.7,0
+750,44,Male,132,78,173,54,83,135,103,5.5,23.4,72,183,Non-Anginal Pain,False,0.8,True,Never,16.5,156,7.0,17.6,True,7770,87.9,0
+751,59,Male,141,97,171,47,85,156,146,6.1,30.7,78,164,Asymptomatic,False,0.2,False,Never,3.0,181,7.3,46.6,True,6779,58.3,0
+752,58,Male,127,89,233,64,132,160,123,6.1,24.2,80,124,Non-Anginal Pain,False,0.4,True,Never,9.4,30,8.8,61.9,False,7459,45.6,1
+753,46,Male,123,72,190,72,82,184,99,5.7,20.3,79,165,Non-Anginal Pain,True,0.5,False,Never,4.5,97,5.4,79.7,True,7906,54.5,0
+754,40,Female,130,86,204,70,84,236,140,6.2,27.9,85,190,Non-Anginal Pain,True,1.5,True,Never,7.3,130,6.0,65.3,False,4886,27.0,0
+755,74,Male,146,100,176,28,118,162,67,4.9,25.3,89,135,Non-Anginal Pain,True,2.0,False,Current,10.5,157,7.4,64.8,False,5778,42.7,1
+756,51,Female,131,73,173,55,105,131,124,6.8,31.5,85,193,Atypical Angina,False,1.5,True,Never,4.4,134,7.2,66.4,False,4789,84.6,0
+757,53,Male,119,79,175,45,117,61,148,6.3,24.0,76,167,Atypical Angina,False,1.0,True,Former,4.1,113,6.1,60.5,False,3348,32.1,1
+758,47,Male,125,67,183,54,94,198,124,5.6,24.7,68,184,Atypical Angina,False,0.4,False,Current,3.6,116,7.5,39.3,True,2984,56.7,0
+759,72,Female,148,95,225,48,143,132,138,6.7,26.8,86,147,Asymptomatic,False,1.0,False,Never,4.8,103,6.3,57.7,False,7760,52.5,0
+760,69,Female,124,88,167,56,108,82,131,6.5,28.6,79,141,Non-Anginal Pain,False,0.2,False,Former,1.5,109,6.8,42.7,False,7352,51.1,1
+761,41,Male,138,84,216,53,121,209,82,4.4,24.3,85,179,Asymptomatic,False,0.7,False,Never,8.5,143,5.9,64.6,False,5016,66.6,0
+762,53,Male,127,75,233,61,126,176,152,7.0,23.0,81,163,Typical Angina,True,1.7,False,Current,7.9,270,7.4,41.0,False,7891,39.9,1
+763,42,Female,132,85,167,49,84,180,114,5.8,26.2,71,171,Non-Anginal Pain,False,1.3,False,Never,4.8,52,6.6,49.4,False,5299,62.7,0
+764,78,Male,138,91,207,54,104,193,108,5.6,26.7,88,135,Non-Anginal Pain,False,0.3,False,Never,4.5,20,8.3,60.4,False,3164,55.4,0
+765,60,Female,128,81,166,63,80,79,117,6.0,17.2,82,170,Asymptomatic,False,1.0,False,Never,3.3,169,7.0,59.8,False,5566,75.1,0
+766,50,Male,132,87,216,61,123,132,147,6.8,30.3,74,184,Typical Angina,False,0.2,False,Never,2.0,122,7.0,48.2,False,6080,67.2,0
+767,50,Female,153,94,217,78,119,137,162,7.3,19.8,84,166,Non-Anginal Pain,False,0.7,False,Never,3.9,185,8.0,43.6,True,8125,50.8,0
+768,61,Male,146,99,199,44,102,205,153,6.9,30.9,93,120,Asymptomatic,False,5.3,False,Current,4.9,78,7.5,49.3,False,5138,46.1,1
+769,51,Female,137,80,208,62,121,177,102,5.7,25.1,80,142,Atypical Angina,True,2.1,True,Former,7.1,182,6.7,28.2,False,5039,63.8,1
+770,74,Male,154,100,202,66,90,231,125,6.4,28.7,81,161,Non-Anginal Pain,False,0.9,True,Never,5.3,112,7.3,70.0,False,5902,46.3,0
+771,42,Male,127,76,194,57,93,210,94,5.0,21.7,67,186,Non-Anginal Pain,False,1.2,False,Current,4.9,231,7.6,40.9,True,7375,43.9,0
+772,38,Male,126,83,117,58,35,130,106,5.7,24.1,78,182,Typical Angina,False,0.1,False,Never,4.5,116,7.2,84.3,False,4325,47.9,0
+773,72,Female,130,72,226,49,143,153,133,6.3,28.1,85,118,Typical Angina,False,2.7,True,Current,6.7,169,6.6,33.3,True,8414,34.6,1
+774,48,Female,119,91,213,40,126,154,144,6.8,32.1,93,177,Non-Anginal Pain,False,0.9,True,Current,6.3,120,7.5,68.1,True,6953,47.6,1
+775,72,Female,127,89,151,40,103,58,136,5.8,16.5,81,155,Non-Anginal Pain,True,2.5,False,Never,3.1,137,4.7,58.3,True,7191,53.2,0
+776,65,Male,134,90,160,58,95,95,129,5.3,18.7,97,148,Asymptomatic,False,0.6,False,Never,4.9,76,7.6,83.6,True,6927,88.6,0
+777,36,Female,119,70,142,57,70,124,133,6.3,24.1,77,174,Non-Anginal Pain,False,1.2,False,Former,25.2,276,7.0,60.8,True,7184,64.0,0
+778,46,Female,148,83,121,44,56,88,125,5.8,26.0,68,195,Non-Anginal Pain,False,0.8,False,Never,8.9,158,7.1,77.9,False,3231,86.2,0
+779,55,Male,145,92,290,60,168,298,150,6.8,30.2,90,171,Asymptomatic,False,0.6,False,Never,30.0,183,6.7,44.9,True,7140,62.7,0
+780,51,Female,128,86,220,61,138,105,102,5.9,22.7,78,157,Asymptomatic,False,0.2,False,Never,11.7,205,6.2,13.5,True,9511,78.5,0
+781,58,Male,133,76,147,52,87,65,128,5.5,21.0,75,174,Asymptomatic,False,0.9,False,Never,3.4,169,6.5,57.5,True,8853,67.7,0
+782,46,Female,111,71,224,49,145,70,99,5.5,27.4,75,193,Asymptomatic,False,0.4,False,Former,5.6,100,9.6,30.0,False,5419,56.1,0
+783,53,Female,118,69,197,58,95,187,142,6.2,25.4,66,175,Non-Anginal Pain,False,0.5,False,Never,1.1,121,7.5,29.4,True,8887,63.9,0
+784,67,Male,133,82,213,43,144,154,144,6.8,30.9,82,121,Non-Anginal Pain,True,0.4,True,Current,4.1,183,6.7,39.3,False,996,44.7,1
+785,71,Male,148,88,197,48,138,89,112,5.9,28.6,90,125,Asymptomatic,False,0.4,False,Current,3.8,13,7.5,52.8,False,6130,63.0,1
+786,44,Female,112,81,200,57,108,168,117,5.0,23.9,92,175,Asymptomatic,False,0.7,False,Former,1.8,116,6.4,78.0,False,3954,46.8,0
+787,51,Male,129,87,171,46,78,178,150,6.5,25.8,80,167,Asymptomatic,False,0.2,True,Never,1.6,108,8.4,58.4,False,2969,45.2,0
+788,52,Female,133,77,183,49,106,88,157,6.8,34.2,80,162,Asymptomatic,False,0.9,False,Current,0.8,91,8.6,34.8,False,3731,43.5,1
+789,36,Female,141,90,222,38,156,98,99,5.6,26.4,87,193,Asymptomatic,False,0.5,False,Current,4.9,168,4.9,59.7,False,6021,60.7,0
+790,66,Female,98,75,201,54,130,125,102,5.7,23.5,77,142,Asymptomatic,False,0.5,False,Never,4.6,86,9.1,47.1,False,3340,73.0,0
+791,61,Female,122,80,211,81,89,170,126,6.1,26.5,87,179,Asymptomatic,False,0.1,False,Never,1.2,153,7.5,60.0,False,5962,64.4,0
+792,61,Female,128,82,187,54,109,113,124,5.6,29.8,87,181,Atypical Angina,False,0.1,False,Never,4.4,231,5.4,28.4,False,4239,54.0,0
+793,53,Female,128,77,233,47,152,165,122,6.2,34.2,86,163,Asymptomatic,True,2.8,False,Current,3.6,99,7.8,22.5,False,4970,51.8,1
+794,65,Female,152,88,161,56,107,75,122,6.1,28.9,81,161,Atypical Angina,False,2.5,False,Current,4.2,143,6.1,79.4,False,5128,60.6,0
+795,67,Female,134,88,206,51,112,173,117,6.1,23.7,83,148,Non-Anginal Pain,True,1.5,False,Never,0.5,74,7.6,59.9,False,6240,80.1,1
+796,69,Male,142,83,205,35,134,105,137,6.5,25.2,75,153,Typical Angina,False,0.1,False,Never,6.3,87,8.2,42.0,False,3500,66.2,1
+797,52,Male,115,70,138,46,71,143,86,4.8,21.3,76,175,Asymptomatic,False,1.4,False,Current,1.6,162,6.3,54.3,True,4979,73.8,0
+798,59,Male,124,78,207,45,98,265,118,5.8,28.8,82,139,Asymptomatic,True,2.2,False,Current,1.7,248,5.7,58.8,True,9540,52.7,1
+799,49,Female,139,91,145,39,96,83,146,6.7,17.2,79,189,Asymptomatic,False,0.9,False,Current,3.2,110,8.2,43.3,False,2016,51.3,0
+800,50,Male,118,76,171,47,95,107,120,5.6,25.6,85,159,Non-Anginal Pain,True,0.9,True,Former,6.7,149,6.7,36.0,False,6465,50.0,0
+801,67,Female,133,79,199,53,138,36,123,5.9,19.7,84,139,Asymptomatic,True,1.3,False,Current,2.5,100,7.4,57.4,False,3458,84.1,1
+802,55,Male,132,90,209,68,96,230,133,5.9,23.9,88,191,Non-Anginal Pain,True,0.6,False,Current,2.6,185,5.7,2.7,False,2639,58.6,0
+803,52,Female,115,74,233,74,141,143,118,5.6,15.0,76,178,Non-Anginal Pain,False,0.8,False,Former,9.7,104,7.4,43.1,True,9525,66.3,0
+804,62,Male,120,65,200,62,124,87,94,5.1,26.9,78,180,Atypical Angina,False,0.2,False,Former,2.6,100,3.6,29.3,False,5366,75.7,0
+805,63,Male,125,68,129,57,51,134,148,6.5,25.9,86,162,Non-Anginal Pain,False,0.2,True,Never,9.8,98,6.4,33.5,False,4886,69.4,0
+806,44,Male,134,107,237,49,161,137,77,4.4,23.0,88,187,Asymptomatic,False,0.4,True,Current,2.2,129,7.6,50.3,True,7152,66.4,0
+807,46,Female,101,65,220,62,121,100,120,5.6,16.9,76,182,Typical Angina,False,0.8,False,Never,4.4,160,7.0,25.7,True,9046,63.6,0
+808,63,Male,116,89,198,52,104,193,95,5.3,25.8,61,157,Typical Angina,False,1.0,False,Former,5.7,196,6.6,39.7,True,9442,53.5,0
+809,61,Female,111,70,194,47,130,84,151,7.0,25.8,79,129,Non-Anginal Pain,False,0.6,True,Never,3.5,219,7.7,64.4,False,6469,45.4,1
+810,51,Male,129,81,236,54,151,106,126,5.8,20.5,80,173,Non-Anginal Pain,False,0.3,False,Former,1.6,192,8.0,46.7,True,7812,66.9,0
+811,70,Male,136,90,233,66,125,182,130,5.8,22.6,89,145,Asymptomatic,False,0.7,True,Never,3.5,152,5.4,44.8,False,5504,53.7,0
+812,53,Male,105,56,227,56,121,241,138,6.7,27.9,71,140,Typical Angina,False,1.5,True,Former,1.9,100,6.3,2.2,True,6147,52.5,1
+813,29,Male,113,87,190,76,84,194,112,5.2,16.5,85,206,Non-Anginal Pain,False,1.1,True,Never,10.3,316,7.0,54.3,True,10778,75.1,0
+814,44,Male,113,73,199,52,132,99,81,4.9,25.8,88,177,Asymptomatic,False,0.6,True,Former,9.8,5,5.5,26.0,False,4022,76.3,0
+815,35,Female,131,84,246,83,137,206,87,4.7,26.5,87,202,Atypical Angina,False,0.1,False,Never,2.0,186,6.2,49.9,True,6561,49.5,0
+816,69,Female,141,89,193,60,116,104,100,5.7,25.1,72,149,Atypical Angina,False,4.1,True,Former,1.5,85,6.6,57.0,False,4328,50.7,1
+817,61,Female,133,92,182,38,112,168,125,5.7,21.6,77,171,Non-Anginal Pain,False,1.9,False,Former,4.9,124,6.6,38.0,True,4139,51.4,0
+818,56,Female,138,91,211,70,118,118,138,6.5,26.8,80,159,Asymptomatic,False,1.2,False,Current,2.9,135,7.4,58.0,False,6364,64.4,0
+819,24,Male,103,68,154,57,97,89,61,4.0,18.6,78,192,Asymptomatic,False,1.1,False,Former,9.3,87,6.8,20.2,True,7433,48.4,0
+820,35,Male,107,72,157,63,82,89,112,5.7,21.2,80,191,Asymptomatic,False,1.3,False,Never,2.6,174,5.2,37.3,False,7138,69.7,0
+821,52,Female,127,81,183,64,97,69,101,5.8,22.3,65,176,Atypical Angina,False,0.1,False,Never,10.2,236,6.1,20.9,True,8767,75.4,0
+822,31,Male,128,86,135,57,71,35,88,5.3,17.7,79,184,Atypical Angina,False,0.1,False,Former,1.7,163,4.8,52.7,False,3686,50.8,0
+823,66,Female,130,86,188,68,73,205,128,6.1,22.3,78,210,Asymptomatic,False,0.7,False,Never,1.0,308,6.9,59.1,True,6936,42.2,0
+824,53,Female,130,78,207,56,115,179,110,5.9,27.1,72,169,Asymptomatic,False,0.4,False,Former,2.9,249,5.9,65.1,False,8995,49.4,0
+825,52,Male,115,77,270,56,163,243,125,6.4,27.9,81,150,Typical Angina,True,2.6,False,Never,8.2,133,6.9,59.2,False,7855,56.2,1
+826,53,Male,137,91,168,63,70,164,161,6.8,31.8,95,183,Non-Anginal Pain,False,0.2,False,Never,14.6,89,7.1,52.5,False,3956,90.8,0
+827,42,Female,103,60,155,69,86,113,104,4.9,15.0,89,171,Atypical Angina,False,0.3,False,Never,6.4,232,8.2,42.7,True,10308,46.4,0
+828,40,Female,116,69,187,79,84,177,138,6.2,22.8,65,190,Asymptomatic,False,0.7,True,Former,3.4,214,5.3,45.5,True,10123,47.1,0
+829,29,Female,100,55,180,72,86,72,136,6.2,21.5,73,188,Atypical Angina,False,0.5,False,Never,3.2,283,6.0,44.7,True,9735,75.2,0
+830,54,Female,124,77,180,54,93,147,137,6.2,25.4,74,145,Typical Angina,False,0.6,False,Former,1.9,226,6.2,36.6,True,9217,57.9,0
+831,59,Male,129,84,190,64,119,65,129,5.5,20.1,69,156,Asymptomatic,False,1.3,False,Never,2.5,159,7.4,60.4,False,5626,56.0,0
+832,51,Male,133,82,215,52,138,129,93,5.1,28.4,78,173,Non-Anginal Pain,False,1.5,False,Current,4.7,178,8.8,49.3,True,7506,34.9,0
+833,50,Male,132,88,161,67,88,75,107,5.2,24.1,92,176,Atypical Angina,True,1.1,False,Former,1.6,59,6.9,71.3,False,6672,60.8,1
+834,42,Male,132,86,180,62,88,143,95,5.4,18.5,72,190,Asymptomatic,False,0.9,True,Never,1.9,155,7.1,70.5,False,6950,86.7,0
+835,57,Female,126,84,178,61,94,174,143,6.3,22.6,99,162,Asymptomatic,False,0.8,False,Former,4.1,122,8.3,48.7,True,7866,65.8,0
+836,22,Female,109,65,186,41,128,136,89,5.0,29.8,89,206,Typical Angina,False,0.3,False,Current,1.6,130,5.9,47.1,False,4645,69.5,0
+837,40,Female,122,78,202,64,121,120,126,6.5,27.6,79,180,Asymptomatic,False,2.8,False,Never,2.3,104,4.1,61.5,False,3724,48.2,1
+838,45,Male,132,94,210,37,144,159,124,6.3,26.1,92,185,Asymptomatic,False,0.1,False,Never,2.5,81,7.1,64.8,True,5887,37.2,0
+839,47,Male,121,58,144,41,72,116,130,6.1,21.9,70,204,Asymptomatic,True,0.3,True,Former,2.1,99,6.6,53.3,False,5252,43.0,0
+840,57,Female,120,63,150,71,45,164,109,6.1,24.6,80,184,Asymptomatic,False,1.1,False,Former,1.4,211,5.6,33.9,True,9370,89.3,0
+841,51,Male,151,95,201,50,111,187,138,6.1,27.7,75,135,Typical Angina,False,1.5,False,Never,12.0,98,6.0,11.8,True,6587,54.6,1
+842,56,Male,126,68,231,61,142,104,80,4.4,25.7,77,152,Asymptomatic,False,0.3,True,Never,3.3,87,5.7,24.3,False,9976,87.1,0
+843,70,Male,121,85,207,61,117,171,129,6.1,19.9,83,176,Non-Anginal Pain,False,0.8,False,Former,3.2,130,6.0,63.4,False,6099,64.4,0
+844,72,Female,129,88,210,56,120,106,117,5.3,22.6,77,143,Non-Anginal Pain,False,0.4,True,Never,2.3,240,7.2,46.4,True,6479,47.8,0
+845,62,Male,141,81,170,53,84,171,98,5.3,25.2,93,143,Atypical Angina,False,0.7,True,Never,3.2,46,6.9,58.2,False,4144,57.9,0
+846,70,Male,134,88,157,46,95,74,109,5.0,26.8,88,172,Asymptomatic,False,2.3,False,Never,4.8,164,9.4,43.3,True,5334,52.1,0
+847,76,Female,112,66,179,75,92,66,96,5.0,26.5,78,125,Non-Anginal Pain,False,0.4,True,Never,4.6,174,7.1,49.5,False,5596,76.8,0
+848,59,Female,122,69,116,58,36,134,132,5.8,25.0,75,186,Non-Anginal Pain,False,0.5,False,Never,3.3,89,6.1,40.4,True,7332,83.7,0
+849,36,Male,134,87,207,40,126,177,130,6.3,26.4,99,178,Atypical Angina,True,0.5,False,Current,2.1,114,6.0,30.2,False,8176,54.6,1
+850,67,Female,104,66,223,60,121,181,151,7.1,21.3,60,146,Asymptomatic,False,3.3,False,Never,3.3,173,7.7,40.8,True,7855,34.1,0
+851,41,Male,128,91,176,26,92,266,132,6.4,26.6,90,147,Atypical Angina,True,0.9,False,Current,4.6,80,5.9,47.6,False,2320,59.3,1
+852,78,Female,133,75,140,47,78,81,109,5.8,21.7,74,174,Asymptomatic,False,0.5,False,Former,7.6,102,6.9,47.5,False,5532,83.9,0
+853,76,Female,158,102,175,50,103,173,96,5.5,30.6,81,140,Typical Angina,False,3.8,False,Former,3.0,162,5.7,37.2,True,7548,67.8,0
+854,47,Male,114,80,220,53,138,147,108,5.3,27.6,75,165,Non-Anginal Pain,False,0.3,False,Former,3.6,110,7.1,41.4,False,6560,44.8,0
+855,40,Male,121,80,231,78,122,109,127,5.8,22.9,83,173,Non-Anginal Pain,False,0.3,False,Never,5.4,221,6.9,57.8,False,5256,36.5,0
+856,45,Male,107,69,203,59,118,197,152,7.1,17.0,69,170,Asymptomatic,False,0.8,True,Never,5.2,61,4.5,29.2,False,6536,56.9,1
+857,53,Male,117,91,189,54,105,183,143,6.8,22.0,67,148,Asymptomatic,True,5.4,True,Never,7.4,63,7.9,43.1,False,3857,21.9,1
+858,71,Female,139,83,202,46,157,108,112,5.7,24.8,73,127,Asymptomatic,False,1.4,True,Current,1.9,112,7.1,23.6,False,4708,56.6,1
+859,38,Male,134,87,170,44,117,94,156,7.1,27.1,87,173,Typical Angina,False,0.1,False,Never,6.4,23,6.0,53.4,False,4834,54.8,0
+860,65,Male,144,98,160,52,71,181,142,6.6,30.1,81,127,Atypical Angina,False,3.3,False,Former,3.8,114,9.5,54.2,True,7207,38.3,1
+861,27,Female,101,52,162,57,89,89,108,5.5,17.7,76,206,Typical Angina,False,1.0,False,Never,3.9,142,7.1,24.2,True,5776,74.4,0
+862,70,Male,140,80,150,21,107,129,161,7.3,37.1,87,153,Non-Anginal Pain,True,0.5,True,Current,7.9,65,5.7,55.6,True,5655,43.8,1
+863,53,Male,131,93,191,72,104,172,111,6.1,28.7,81,198,Asymptomatic,False,0.4,False,Never,6.3,250,6.9,50.7,False,7165,57.2,0
+864,57,Female,131,87,195,68,111,63,103,5.8,22.8,82,157,Atypical Angina,False,0.8,False,Never,2.5,47,7.0,66.2,True,2780,60.5,0
+865,53,Male,139,96,218,58,141,139,132,6.1,26.7,88,186,Non-Anginal Pain,False,1.3,False,Never,4.1,131,8.8,68.9,False,4798,37.9,0
+866,66,Male,128,85,200,51,111,148,148,7.0,26.0,73,143,Typical Angina,True,2.6,False,Never,2.3,170,7.1,67.2,False,6364,39.6,1
+867,59,Female,124,81,217,58,110,287,138,6.1,31.3,78,179,Asymptomatic,False,0.4,False,Former,3.7,100,9.6,43.3,False,3741,20.6,0
+868,76,Male,150,94,220,61,122,175,127,6.5,30.5,84,140,Atypical Angina,True,0.2,False,Former,3.7,93,6.7,76.4,False,6298,62.4,1
+869,31,Male,116,73,146,45,68,190,105,6.2,29.2,75,191,Asymptomatic,False,0.1,True,Former,1.7,99,7.1,61.7,False,6416,72.9,0
+870,42,Female,136,89,191,49,105,130,107,5.6,26.2,76,208,Non-Anginal Pain,False,0.8,False,Never,1.6,149,6.2,58.1,False,7742,58.8,0
+871,37,Male,129,83,150,34,67,161,118,4.7,29.0,81,207,Non-Anginal Pain,False,0.5,False,Former,6.3,169,5.2,33.6,False,6933,70.3,0
+872,63,Male,128,86,226,51,127,206,66,4.8,22.9,91,159,Asymptomatic,False,0.1,False,Current,2.4,125,8.0,62.3,True,5884,69.6,0
+873,32,Male,107,65,255,62,139,144,73,4.9,19.2,76,183,Atypical Angina,False,1.4,True,Never,3.9,127,7.4,47.9,False,5857,47.2,0
+874,86,Female,120,76,186,51,110,149,136,5.8,20.3,92,145,Non-Anginal Pain,False,0.5,False,Current,6.2,152,8.1,62.4,True,3893,60.7,1
+875,55,Male,131,81,205,43,143,150,71,4.4,27.0,83,171,Typical Angina,True,2.9,True,Current,1.6,107,7.5,51.1,False,4970,44.3,1
+876,70,Male,144,90,198,47,120,135,104,5.4,25.8,74,147,Non-Anginal Pain,True,0.5,False,Never,1.7,175,6.2,45.4,True,8914,52.4,1
+877,41,Female,133,82,221,45,138,151,121,5.7,28.8,79,177,Non-Anginal Pain,False,0.5,False,Former,0.7,169,6.3,41.5,False,6156,49.7,0
+878,57,Male,141,91,192,48,99,193,159,7.2,22.1,89,152,Atypical Angina,True,2.9,False,Current,16.6,119,6.8,38.2,False,6000,48.3,1
+879,62,Female,144,92,221,51,108,216,95,4.0,30.2,74,172,Asymptomatic,False,0.2,False,Current,1.1,248,6.4,32.2,True,10190,68.5,0
+880,45,Male,144,89,199,57,104,160,110,5.7,28.3,75,161,Non-Anginal Pain,False,0.6,False,Never,2.6,197,7.8,50.9,True,6200,57.9,0
+881,51,Female,137,86,230,68,114,213,146,6.7,32.5,86,175,Atypical Angina,False,1.2,False,Never,4.5,175,7.8,46.6,True,9877,63.5,0
+882,74,Female,138,83,169,82,86,47,134,5.8,25.7,88,128,Typical Angina,False,0.2,False,Former,6.5,129,6.3,23.8,False,5778,61.8,0
+883,70,Female,136,87,224,67,126,152,122,5.3,31.1,88,132,Non-Anginal Pain,False,3.1,False,Former,0.9,55,7.7,62.0,False,4921,84.4,1
+884,62,Female,132,85,225,49,137,164,145,6.1,31.7,78,189,Non-Anginal Pain,False,0.2,False,Former,1.5,160,6.3,30.2,True,4004,34.3,0
+885,80,Male,118,71,196,44,110,231,104,5.6,27.0,79,117,Atypical Angina,False,0.2,False,Former,11.1,120,9.0,50.6,True,7852,66.9,0
+886,29,Male,113,63,206,59,92,194,128,5.4,24.8,81,196,Non-Anginal Pain,False,0.3,False,Former,17.7,267,7.0,21.1,True,11128,76.5,0
+887,58,Female,123,72,256,87,117,190,150,6.8,24.4,88,142,Non-Anginal Pain,False,1.2,False,Current,4.4,186,8.9,35.2,True,6146,51.1,0
+888,49,Male,110,68,239,75,133,170,113,5.3,18.2,81,177,Non-Anginal Pain,False,0.7,True,Never,3.7,227,7.8,25.4,True,10547,54.0,0
+889,73,Female,106,73,186,65,115,35,98,5.0,18.2,74,146,Non-Anginal Pain,False,0.9,False,Never,0.6,133,9.2,53.4,True,3751,70.3,0
+890,68,Female,128,82,199,57,127,60,113,5.2,23.9,86,135,Atypical Angina,False,0.2,False,Former,1.7,150,5.4,36.2,False,4886,68.6,1
+891,69,Female,104,68,216,47,114,182,87,5.1,21.5,71,169,Atypical Angina,False,0.4,False,Former,1.8,116,8.2,48.2,False,3629,68.1,0
+892,46,Female,137,90,213,57,118,185,132,6.1,24.9,77,192,Asymptomatic,False,3.5,False,Never,0.9,81,5.8,56.4,False,6401,59.4,0
+893,61,Male,148,78,168,36,121,63,132,6.0,33.1,83,151,Non-Anginal Pain,False,0.6,False,Never,6.1,0,5.4,74.3,False,5518,49.2,1
+894,68,Male,134,87,213,65,128,65,128,6.3,22.5,70,138,Non-Anginal Pain,False,1.7,False,Never,4.4,113,7.6,39.9,False,5331,58.2,0
+895,71,Female,126,91,218,66,127,154,132,6.0,23.4,70,163,Non-Anginal Pain,False,1.1,False,Never,4.3,164,6.0,59.7,False,2481,100.0,0
+896,42,Male,123,75,151,41,81,149,92,4.9,28.2,88,154,Typical Angina,False,1.1,False,Former,5.8,46,7.0,41.8,False,4867,73.7,1
+897,45,Female,124,80,231,58,131,189,103,4.9,21.7,81,166,Non-Anginal Pain,False,0.1,True,Never,7.3,138,7.7,41.4,True,2678,60.6,0
+898,57,Male,140,90,219,66,120,147,123,5.8,25.7,81,138,Non-Anginal Pain,True,0.9,True,Never,2.4,270,7.8,52.4,True,8007,69.4,1
+899,72,Female,126,82,230,67,125,113,133,6.1,26.5,82,164,Asymptomatic,False,1.2,False,Never,7.1,236,5.8,45.4,True,7390,53.8,0
+900,62,Female,127,79,232,65,135,179,130,5.6,22.3,90,188,Asymptomatic,False,0.5,False,Never,4.5,39,6.6,53.5,False,5356,49.3,0
+901,72,Male,145,87,183,26,112,235,96,5.4,28.8,85,137,Asymptomatic,True,0.7,False,Never,10.8,65,6.5,49.3,True,7354,54.1,1
+902,29,Male,111,61,227,69,117,213,168,7.1,22.6,90,188,Non-Anginal Pain,False,1.7,True,Current,10.8,107,8.7,28.2,False,6966,60.2,0
+903,50,Female,145,91,195,59,85,242,133,6.1,26.7,82,159,Asymptomatic,True,1.5,True,Never,23.6,108,6.5,36.6,False,5976,58.5,1
+904,60,Male,141,84,177,65,83,173,134,6.5,20.3,83,174,Asymptomatic,False,1.2,False,Current,25.9,103,7.3,35.7,True,9423,55.6,0
+905,58,Female,128,86,215,55,153,105,145,6.3,21.2,78,160,Asymptomatic,False,0.9,False,Never,1.9,181,6.1,75.5,False,5194,54.5,0
+906,29,Male,135,79,184,51,88,261,129,6.4,27.9,90,205,Non-Anginal Pain,False,0.2,True,Never,6.9,91,5.8,49.4,False,4161,58.8,0
+907,68,Male,112,65,201,63,108,188,116,5.5,17.5,92,138,Typical Angina,False,1.7,True,Never,13.0,120,9.7,50.8,False,4869,56.6,1
+908,58,Male,151,87,205,49,137,87,132,6.2,24.7,76,165,Asymptomatic,False,0.7,False,Never,1.8,138,7.9,35.3,True,7492,64.9,0
+909,48,Female,139,91,197,64,108,132,123,6.1,26.0,74,201,Atypical Angina,True,1.0,False,Former,1.7,171,4.6,76.4,True,8431,60.9,0
+910,70,Male,157,92,205,56,136,35,73,4.7,20.6,86,147,Asymptomatic,False,0.4,False,Former,6.1,21,6.4,50.9,False,1809,51.6,0
+911,32,Male,132,91,177,48,94,211,114,5.8,36.4,83,181,Non-Anginal Pain,False,1.7,False,Never,2.3,10,8.7,53.4,False,4473,49.0,0
+912,47,Male,123,69,207,90,92,147,109,5.2,23.2,71,178,Asymptomatic,False,0.1,False,Former,1.8,176,6.8,55.0,True,6768,53.4,0
+913,65,Male,139,92,208,49,131,146,114,5.6,26.4,69,136,Atypical Angina,True,3.3,False,Former,2.7,58,7.8,44.4,False,2751,57.6,1
+914,59,Female,130,87,188,37,100,206,107,4.8,23.4,91,141,Non-Anginal Pain,False,1.8,False,Current,0.6,240,6.9,90.7,True,8633,56.1,1
+915,51,Female,133,86,190,54,113,118,124,6.4,22.5,77,190,Non-Anginal Pain,False,0.5,False,Former,0.7,195,7.0,49.1,True,9129,43.5,0
+916,52,Male,124,75,190,37,116,170,98,5.3,34.5,75,161,Typical Angina,True,1.0,False,Current,2.2,96,7.3,48.5,True,6311,36.7,1
+917,51,Male,125,80,189,50,118,124,112,5.2,21.4,73,181,Asymptomatic,False,0.0,True,Never,6.7,100,7.2,50.1,True,6446,68.1,0
+918,65,Male,135,90,135,48,71,48,123,5.6,24.7,84,153,Typical Angina,False,4.1,False,Never,3.1,160,6.0,33.8,False,6438,57.5,0
+919,50,Male,120,81,162,55,77,167,164,7.2,30.0,82,136,Asymptomatic,True,4.6,False,Never,5.1,141,6.8,30.1,True,6680,63.3,1
+920,63,Female,105,63,168,49,121,56,90,5.4,21.0,101,157,Atypical Angina,True,0.9,False,Never,3.1,78,6.8,62.7,True,8793,37.3,0
+921,27,Male,121,86,213,60,127,148,115,6.3,21.2,70,189,Asymptomatic,False,0.3,True,Never,3.4,261,7.4,30.5,True,6852,59.9,0
+922,70,Male,127,76,185,37,115,183,112,5.7,26.1,83,134,Atypical Angina,True,0.5,False,Never,9.9,238,8.1,29.8,True,9805,52.0,1
+923,86,Male,155,98,182,39,109,149,123,5.6,23.6,78,120,Asymptomatic,False,1.5,False,Current,2.1,133,6.6,49.2,False,3919,57.9,1
+924,60,Male,118,81,203,69,111,99,98,5.0,17.6,77,153,Asymptomatic,False,0.7,False,Never,4.9,205,4.5,71.3,False,3265,65.4,0
+925,53,Female,148,96,243,54,130,241,123,5.9,22.0,79,154,Asymptomatic,False,4.6,False,Never,20.5,155,6.5,50.0,False,3806,69.1,1
+926,47,Male,124,74,208,18,145,215,115,5.9,29.3,89,167,Asymptomatic,False,0.1,False,Former,2.2,79,3.9,50.9,False,3023,30.3,1
+927,63,Male,132,80,220,56,132,87,129,6.2,26.0,75,166,Non-Anginal Pain,True,2.6,False,Never,12.4,245,6.7,56.3,False,5952,47.5,1
+928,46,Female,114,72,187,56,103,109,121,6.0,29.0,70,178,Asymptomatic,False,0.3,False,Never,3.6,241,6.4,62.6,True,8496,54.5,0
+929,43,Female,114,80,168,89,76,79,71,4.0,16.3,61,186,Typical Angina,False,0.1,True,Never,8.7,264,6.7,37.4,True,6634,65.0,0
+930,26,Male,133,85,153,59,66,167,137,6.5,30.4,77,193,Atypical Angina,False,1.1,True,Never,2.7,237,6.0,57.8,True,7328,50.6,0
+931,57,Male,129,79,171,43,80,134,87,5.2,28.8,82,137,Asymptomatic,True,1.1,False,Never,18.5,0,6.5,32.1,False,1053,46.2,1
+932,50,Female,144,90,187,61,89,218,104,5.1,23.8,85,162,Asymptomatic,False,0.6,True,Former,1.0,145,5.5,32.4,False,8427,74.6,0
+933,51,Female,123,86,189,59,110,71,150,6.3,19.2,62,176,Asymptomatic,False,0.5,False,Current,1.2,278,6.2,22.6,False,10951,62.9,0
+934,54,Male,125,76,189,48,107,151,96,4.6,22.5,83,174,Asymptomatic,False,1.1,True,Never,8.9,159,6.0,31.0,False,5281,68.2,0
+935,45,Female,131,77,146,48,76,154,168,7.0,24.4,92,173,Atypical Angina,False,1.1,False,Current,0.6,159,8.8,19.4,False,4810,70.2,0
+936,56,Male,121,78,178,54,104,120,139,6.2,24.1,90,149,Asymptomatic,False,0.1,False,Never,3.7,48,5.7,63.0,False,4554,50.4,0
+937,40,Male,139,94,187,55,91,225,92,4.7,30.1,78,198,Asymptomatic,True,0.9,False,Never,7.1,161,5.4,65.3,False,4886,62.9,0
+938,52,Female,115,60,139,57,65,131,120,5.7,26.9,72,175,Asymptomatic,False,0.9,False,Never,8.6,147,5.6,22.6,False,4682,48.1,0
+939,50,Female,150,101,150,48,97,95,121,6.2,26.4,77,175,Asymptomatic,False,0.3,False,Never,1.9,133,5.5,36.4,False,6793,53.9,0
+940,32,Male,113,67,188,53,89,187,88,4.9,21.9,87,173,Asymptomatic,False,0.4,True,Former,1.9,108,4.8,65.7,False,8870,69.7,0
+941,38,Male,130,90,194,61,96,206,122,5.5,25.2,73,183,Non-Anginal Pain,False,1.1,True,Never,7.9,48,7.6,48.5,False,6993,66.3,0
+942,46,Male,117,70,151,50,69,105,136,6.0,21.6,67,168,Non-Anginal Pain,False,0.1,True,Former,2.4,144,4.9,23.8,True,5933,77.6,0
+943,47,Female,133,80,147,75,45,155,140,6.5,19.0,79,172,Atypical Angina,False,0.6,False,Never,6.9,89,7.1,63.2,False,4218,52.8,0
+944,57,Male,115,70,229,57,101,263,82,4.9,28.5,83,154,Asymptomatic,False,1.0,False,Never,2.0,215,5.3,44.6,True,6730,54.8,0
+945,49,Female,122,89,172,47,86,187,145,6.4,32.2,85,208,Asymptomatic,False,0.6,False,Never,7.4,74,5.4,40.8,False,4891,54.6,0
+946,53,Female,119,80,165,60,85,171,152,7.2,23.6,93,174,Atypical Angina,False,1.1,False,Former,3.8,267,6.9,26.8,True,11880,84.7,0
+947,49,Female,138,83,206,58,115,142,94,5.1,28.1,67,173,Non-Anginal Pain,False,0.5,True,Never,0.0,197,8.4,32.3,True,11565,64.9,0
+948,20,Male,110,68,157,65,63,143,98,5.4,19.1,77,192,Asymptomatic,False,0.7,False,Former,4.2,269,9.2,44.3,True,10966,44.3,0
+949,52,Male,133,93,165,50,78,174,121,5.8,20.9,62,176,Asymptomatic,True,0.8,True,Current,3.3,191,7.7,37.2,True,5578,34.1,0
+950,43,Male,150,86,187,63,77,248,138,6.8,30.0,89,166,Asymptomatic,False,0.9,False,Former,11.5,115,6.8,60.2,False,7035,32.7,0
+951,52,Female,137,81,189,59,112,81,158,6.6,27.9,89,187,Asymptomatic,True,0.1,True,Former,2.9,159,7.2,50.4,False,4639,61.6,0
+952,44,Female,129,76,191,42,129,150,138,6.5,24.0,70,197,Asymptomatic,False,2.5,False,Never,2.0,151,5.4,57.9,True,6227,85.4,0
+953,63,Male,121,76,242,52,149,157,159,6.9,25.3,84,165,Non-Anginal Pain,False,0.1,True,Current,6.8,137,7.2,65.9,True,7464,67.6,1
+954,53,Male,124,79,167,65,78,138,134,6.2,26.0,85,167,Typical Angina,False,0.5,True,Former,10.6,169,8.1,32.0,False,6578,47.1,0
+955,63,Male,129,84,190,41,112,163,140,6.7,30.0,92,168,Asymptomatic,False,0.3,False,Current,1.9,178,5.3,19.1,False,3601,29.6,0
+956,64,Female,133,83,222,71,119,212,139,6.7,22.0,82,155,Non-Anginal Pain,False,0.3,True,Never,12.6,275,8.1,37.2,True,11074,76.6,0
+957,47,Male,111,85,239,69,117,224,109,5.8,21.1,86,186,Non-Anginal Pain,False,0.5,False,Current,3.3,250,7.1,15.4,True,7857,44.9,0
+958,65,Male,140,78,220,66,128,105,123,6.6,23.9,92,121,Non-Anginal Pain,False,0.2,False,Current,4.1,80,7.3,37.5,False,3341,65.1,1
+959,57,Male,139,91,173,53,101,102,95,5.7,24.7,97,167,Asymptomatic,True,2.8,False,Former,5.6,61,5.8,57.3,False,3862,41.1,1
+960,40,Male,138,82,224,64,146,103,112,5.8,26.3,82,167,Asymptomatic,True,0.8,False,Never,1.5,98,7.0,45.0,False,5635,53.5,1
+961,52,Male,114,78,217,66,125,125,151,6.6,23.3,79,182,Asymptomatic,False,0.3,False,Former,2.4,169,7.2,18.7,True,10130,53.3,0
+962,55,Male,162,93,179,41,89,237,134,5.8,34.3,88,165,Typical Angina,True,0.7,False,Never,17.6,64,5.0,59.7,False,7292,51.6,1
+963,71,Male,136,82,209,38,129,169,159,6.8,32.4,70,134,Non-Anginal Pain,True,1.5,False,Never,22.2,86,7.6,38.6,True,2985,54.1,1
+964,49,Female,128,82,230,72,116,123,157,6.6,25.1,78,183,Asymptomatic,False,0.7,False,Former,4.1,143,7.4,29.6,True,9211,69.6,0
+965,74,Female,128,81,209,56,123,123,122,5.9,27.4,77,152,Atypical Angina,False,0.9,True,Never,3.9,81,7.7,49.4,False,2308,62.2,0
+966,64,Female,128,85,210,47,132,87,133,6.1,28.6,88,139,Non-Anginal Pain,True,2.4,False,Never,4.9,170,7.6,57.7,False,4121,36.5,1
+967,27,Male,117,73,188,59,73,157,109,5.4,21.0,84,174,Typical Angina,False,1.0,False,Current,10.3,79,7.6,53.0,False,5608,81.4,0
+968,41,Female,140,95,183,55,109,87,121,6.4,25.6,88,148,Typical Angina,True,3.0,False,Former,3.3,134,6.2,69.0,False,4182,54.5,1
+969,62,Female,128,73,198,66,116,76,100,4.8,22.0,79,162,Non-Anginal Pain,True,1.9,False,Never,0.4,118,7.6,57.6,True,4102,91.4,1
+970,35,Male,129,86,200,63,100,167,70,4.4,26.8,81,192,Non-Anginal Pain,False,0.0,True,Former,2.9,201,6.8,34.7,True,6585,75.5,0
+971,60,Female,132,85,176,58,83,199,95,4.8,25.6,73,146,Typical Angina,False,0.0,False,Never,8.9,129,6.5,29.9,False,7091,77.8,0
+972,72,Male,124,78,232,46,143,197,161,7.1,24.4,87,125,Asymptomatic,False,1.0,False,Never,2.7,70,6.6,18.3,False,500,61.7,1
+973,51,Male,130,81,160,55,90,82,147,6.3,28.2,89,182,Asymptomatic,False,0.1,False,Never,2.1,114,8.8,56.5,False,5588,55.6,0
+974,72,Male,115,69,140,57,64,73,68,5.0,25.1,85,149,Non-Anginal Pain,False,2.2,False,Never,7.7,102,7.1,41.8,True,4631,66.5,0
+975,71,Male,123,81,149,61,74,64,150,6.3,22.5,77,121,Asymptomatic,True,1.4,False,Never,4.5,193,7.9,58.9,True,2767,51.9,1
+976,53,Female,139,101,215,83,106,182,93,4.8,25.4,89,150,Non-Anginal Pain,False,0.3,False,Former,2.0,218,8.2,50.2,True,8828,79.0,0
+977,54,Male,146,83,142,45,75,136,121,6.0,23.9,89,178,Asymptomatic,False,0.4,False,Current,5.8,126,7.5,58.4,False,9654,62.3,0
+978,56,Male,139,86,174,54,111,82,119,5.9,22.8,82,162,Non-Anginal Pain,True,1.2,False,Former,3.3,173,7.7,47.0,False,5918,62.7,1
+979,60,Male,119,61,213,60,111,164,148,6.8,27.2,77,168,Asymptomatic,False,0.2,False,Never,5.7,125,8.9,35.2,True,7091,56.6,0
+980,34,Female,105,62,185,53,85,228,91,4.6,17.3,69,199,Non-Anginal Pain,False,2.8,False,Current,4.3,106,5.3,45.9,False,6675,55.4,0
+981,52,Male,130,87,227,46,142,174,146,6.1,29.6,84,181,Non-Anginal Pain,False,0.1,True,Never,12.8,66,9.3,61.9,True,5351,44.2,0
+982,32,Male,104,69,143,66,54,90,94,5.3,24.8,68,189,Non-Anginal Pain,False,0.8,False,Former,10.4,122,6.4,26.8,True,5194,69.4,0
+983,50,Female,116,94,226,61,121,208,107,5.0,27.5,91,159,Non-Anginal Pain,False,0.6,False,Former,9.4,84,7.0,39.9,False,5846,75.2,0
+984,51,Female,128,84,213,40,121,177,136,6.6,34.1,95,160,Atypical Angina,False,0.1,False,Current,6.8,105,5.2,38.4,False,4668,74.7,1
+985,30,Male,105,71,206,47,128,173,60,4.0,20.5,66,196,Atypical Angina,False,0.9,False,Former,18.4,165,5.5,16.1,True,3613,53.2,0
+986,38,Male,123,66,153,55,84,121,91,5.0,26.2,83,180,Typical Angina,False,2.5,False,Never,10.0,139,8.6,55.0,False,8104,64.3,0
+987,49,Female,120,84,226,73,116,200,114,5.8,24.7,73,167,Non-Anginal Pain,False,0.3,False,Never,0.6,209,7.1,34.7,True,8177,57.3,0
+988,82,Male,140,91,145,45,72,118,122,5.8,18.9,86,117,Typical Angina,False,0.8,True,Former,4.4,157,7.0,60.8,False,5925,64.4,1
+989,36,Male,116,82,198,47,116,137,121,5.3,27.0,69,187,Asymptomatic,False,2.3,False,Never,4.2,217,8.6,62.4,True,10040,40.0,1
+990,56,Male,130,80,197,54,95,220,133,6.4,26.4,72,166,Asymptomatic,False,1.8,False,Former,3.3,111,7.5,32.7,False,7040,73.7,0
+991,42,Male,121,70,238,61,147,172,82,4.7,26.1,66,173,Atypical Angina,True,1.5,True,Never,3.5,140,6.2,45.1,True,8108,53.4,1
+992,49,Male,121,67,201,49,121,202,90,5.3,26.8,86,154,Asymptomatic,False,2.4,False,Never,10.3,159,7.3,70.0,True,10351,68.8,0
+993,67,Male,137,91,243,46,167,168,141,6.6,33.7,92,145,Non-Anginal Pain,False,0.5,False,Current,9.5,189,7.9,30.1,True,7710,12.0,1
+994,58,Female,164,107,201,46,116,180,97,5.2,30.8,85,156,Asymptomatic,False,0.7,False,Never,10.0,52,8.0,53.2,True,5876,60.1,0
+995,60,Male,134,88,134,40,67,133,183,7.2,28.7,94,172,Typical Angina,False,0.3,False,Never,1.9,10,8.7,23.3,False,4254,64.1,0
+996,60,Male,135,88,142,42,81,152,133,6.4,27.1,81,187,Non-Anginal Pain,True,0.4,False,Never,2.5,227,7.2,14.9,True,10265,52.9,0
+997,61,Male,136,90,181,62,76,170,142,6.0,26.9,81,158,Asymptomatic,False,2.8,True,Former,1.7,240,9.1,73.0,True,7005,52.3,0
+998,26,Female,106,77,150,46,75,146,122,5.4,26.1,95,210,Asymptomatic,False,0.7,False,Never,11.4,155,5.5,40.0,False,6085,59.9,0
+999,59,Male,156,100,294,36,207,194,140,6.2,31.8,92,142,Asymptomatic,True,0.6,True,Never,2.9,89,7.4,44.4,False,2812,46.6,1
+1000,53,Female,117,58,189,70,90,172,126,5.5,18.8,84,181,Typical Angina,False,0.5,False,Never,7.5,230,7.4,31.9,False,4468,65.6,0
+1001,59,Male,142,86,157,48,81,146,112,5.6,28.7,70,150,Asymptomatic,False,0.5,False,Never,1.8,75,7.5,45.1,True,4731,47.1,0
+1002,65,Male,134,99,225,79,112,104,144,6.6,22.7,79,164,Non-Anginal Pain,False,1.5,False,Former,4.2,135,7.9,24.4,False,4134,66.9,0
+1003,59,Female,120,85,215,58,142,109,83,5.5,26.5,80,179,Atypical Angina,False,0.9,False,Never,4.4,152,8.1,26.2,False,5631,72.3,0
+1004,63,Male,133,79,192,60,109,57,81,4.4,24.3,77,174,Non-Anginal Pain,False,0.2,False,Never,2.6,147,7.6,60.5,True,4806,78.5,0
+1005,39,Female,161,105,171,68,82,61,135,6.2,30.7,95,173,Non-Anginal Pain,False,1.4,False,Current,3.7,70,7.2,82.7,False,5421,55.6,0
+1006,60,Female,123,79,229,59,138,139,143,6.5,26.3,85,169,Asymptomatic,True,0.2,False,Never,7.4,9,7.6,38.8,False,6115,28.8,0
+1007,53,Female,122,70,189,69,76,156,126,6.1,23.9,76,184,Typical Angina,False,0.1,True,Never,3.7,213,7.6,44.3,True,7745,54.8,0
+1008,53,Male,157,98,175,61,97,97,74,4.7,31.6,76,173,Typical Angina,False,0.6,False,Never,3.1,236,7.3,66.5,True,5725,58.2,0
+1009,71,Male,129,81,210,34,135,123,150,6.9,25.9,89,125,Asymptomatic,True,3.1,False,Current,6.5,74,6.6,80.7,False,6087,49.2,1
+1010,48,Female,131,81,215,58,129,183,157,6.6,23.8,81,125,Typical Angina,True,1.0,True,Current,1.2,110,6.7,36.8,True,7173,72.6,1
+1011,45,Female,104,62,229,65,127,160,166,7.0,20.3,99,174,Asymptomatic,False,0.1,False,Former,5.0,96,6.3,59.6,False,7336,70.9,0
+1012,37,Female,135,90,189,68,84,119,129,6.0,34.1,76,202,Non-Anginal Pain,False,0.2,True,Never,1.7,153,5.4,41.4,False,7362,34.6,0
+1013,50,Male,130,89,151,43,67,144,132,5.6,15.0,67,151,Non-Anginal Pain,True,0.8,False,Former,10.9,164,6.8,44.0,True,6610,87.9,0
+1014,68,Female,154,96,176,44,91,185,102,5.9,24.7,94,149,Non-Anginal Pain,True,2.1,False,Never,6.9,119,7.8,45.2,False,5072,63.0,1
+1015,32,Male,124,72,241,44,151,210,128,6.0,33.5,91,202,Asymptomatic,False,0.4,False,Current,2.6,224,8.6,47.6,False,4447,31.0,0
+1016,57,Male,118,86,203,65,121,85,95,4.7,19.7,77,171,Asymptomatic,False,0.8,False,Never,7.2,106,6.1,57.3,True,5625,76.9,0
+1017,21,Male,101,72,155,40,76,191,113,5.3,25.4,79,198,Non-Anginal Pain,False,2.4,True,Never,1.9,75,3.6,43.4,False,3986,39.3,0
+1018,45,Female,116,65,197,62,98,181,88,4.7,22.9,72,194,Non-Anginal Pain,False,0.5,False,Current,4.6,243,6.5,43.4,True,7928,66.0,0
+1019,60,Male,126,74,245,46,162,209,129,6.1,25.3,83,161,Asymptomatic,False,0.2,False,Former,1.6,53,8.3,73.9,False,6152,62.8,0
+1020,47,Male,113,77,177,49,85,186,155,6.8,24.6,73,157,Asymptomatic,False,0.7,True,Never,3.6,156,6.5,41.2,False,8532,43.5,0
+1021,38,Male,102,68,215,70,99,236,139,5.9,16.2,86,199,Asymptomatic,False,0.5,True,Never,14.1,126,8.1,59.3,True,4756,66.7,0
+1022,49,Male,119,70,131,59,50,93,145,6.2,22.4,78,179,Typical Angina,False,0.5,False,Former,6.8,139,8.4,55.8,False,3632,97.4,0
+1023,67,Female,147,94,163,52,84,81,145,7.1,28.5,72,97,Typical Angina,False,1.0,False,Never,0.2,39,7.1,39.9,False,4034,70.3,1
+1024,73,Female,161,100,184,44,100,198,164,6.5,26.6,87,140,Atypical Angina,False,2.6,True,Never,21.5,93,4.2,57.4,False,3564,80.6,1
+1025,74,Male,127,81,212,67,104,182,112,5.7,26.5,82,153,Non-Anginal Pain,False,0.7,False,Never,1.6,191,6.9,39.5,False,5930,60.4,0
+1026,63,Male,135,82,156,40,67,215,111,5.6,28.3,84,159,Non-Anginal Pain,False,0.6,False,Never,5.4,159,8.1,66.9,False,5529,78.9,1
+1027,59,Female,132,91,189,51,114,144,124,6.4,26.4,90,150,Asymptomatic,False,1.0,False,Former,9.9,58,7.5,60.7,True,8235,59.9,0
+1028,67,Male,115,79,214,43,116,179,101,5.0,27.8,75,136,Atypical Angina,True,4.0,False,Former,4.7,108,8.6,26.6,True,4844,59.9,1
+1029,39,Female,127,79,180,45,100,174,79,5.2,26.1,70,185,Non-Anginal Pain,False,0.9,False,Never,10.4,166,5.2,52.2,True,9337,57.2,0
+1030,41,Female,124,76,216,51,119,202,143,6.6,30.3,96,163,Atypical Angina,False,0.4,False,Former,7.2,59,5.9,73.8,False,7874,50.0,0
+1031,71,Male,135,94,174,53,105,132,117,5.7,25.0,80,134,Asymptomatic,False,0.7,False,Former,3.6,124,6.7,48.8,True,8587,60.1,0
+1032,65,Male,125,76,175,39,111,157,98,5.7,28.4,87,117,Atypical Angina,False,4.7,True,Former,3.2,74,5.9,33.3,False,4736,43.0,1
+1033,65,Female,126,83,189,38,115,156,165,7.4,35.2,92,142,Typical Angina,True,0.0,True,Never,4.5,92,6.4,61.3,False,7549,41.8,1
+1034,57,Female,120,66,191,66,89,143,138,5.9,29.4,89,173,Non-Anginal Pain,False,0.6,False,Never,2.0,116,6.3,45.3,False,10006,46.5,0
+1035,43,Female,118,82,181,61,85,194,149,6.4,24.0,58,174,Typical Angina,False,0.5,False,Never,6.4,163,7.7,27.4,False,6465,64.1,0
+1036,40,Female,123,64,184,46,107,176,148,6.5,18.9,71,171,Typical Angina,False,1.4,False,Never,7.5,216,7.0,31.8,True,9360,61.6,0
+1037,66,Male,139,83,164,50,82,112,145,6.4,22.3,77,163,Asymptomatic,False,1.2,False,Former,4.3,97,7.4,43.0,False,4454,62.4,0
+1038,68,Male,102,60,115,39,44,209,120,5.6,23.8,79,155,Asymptomatic,False,0.3,True,Current,19.5,76,8.0,53.5,False,3352,39.9,0
+1039,39,Male,93,58,170,45,81,157,104,5.6,20.7,77,200,Asymptomatic,False,0.7,False,Never,2.3,207,6.3,54.4,True,8286,62.7,0
+1040,44,Male,123,78,173,58,97,114,107,5.7,30.9,85,161,Atypical Angina,False,1.0,True,Former,2.0,162,7.2,50.1,False,853,54.7,0
+1041,53,Male,132,79,237,55,166,75,144,6.8,28.5,78,190,Asymptomatic,False,0.4,False,Never,3.5,61,6.6,66.5,False,5832,80.3,0
+1042,65,Female,135,77,212,69,97,186,129,6.4,23.1,60,164,Non-Anginal Pain,False,0.8,False,Current,3.5,176,7.3,48.7,True,7392,34.4,0
+1043,50,Male,138,96,228,50,146,168,98,5.0,26.7,85,156,Non-Anginal Pain,False,0.1,False,Former,2.7,193,6.6,47.2,True,5354,51.2,1
+1044,43,Female,115,77,124,66,41,126,128,6.6,30.9,67,170,Atypical Angina,False,0.3,False,Never,4.0,117,8.9,52.9,False,6389,77.7,0
+1045,67,Male,170,107,173,51,100,77,138,6.2,23.0,80,139,Typical Angina,False,0.4,False,Never,9.1,120,6.3,43.3,False,7460,59.4,1
+1046,62,Male,140,90,164,47,74,175,93,5.2,19.9,64,163,Asymptomatic,False,1.7,False,Former,6.8,153,6.8,72.6,False,8567,84.2,1
+1047,45,Male,128,78,209,55,126,146,137,5.9,27.6,78,175,Asymptomatic,False,1.9,True,Former,2.7,226,5.9,49.1,True,7397,65.4,0
+1048,45,Female,111,56,189,44,114,161,115,5.6,19.6,89,190,Asymptomatic,False,0.2,True,Current,1.1,83,7.1,59.3,False,3905,38.2,0
+1049,68,Female,113,79,188,80,100,63,142,6.1,20.3,80,156,Asymptomatic,False,1.5,False,Never,5.7,131,6.9,34.5,False,852,68.6,0
+1050,37,Female,112,69,185,56,96,106,81,4.6,17.5,61,177,Asymptomatic,False,0.4,False,Never,6.4,132,6.3,37.4,True,7692,49.4,0
+1051,50,Female,127,76,184,61,77,168,131,5.6,21.7,83,190,Asymptomatic,False,0.6,False,Former,0.6,65,7.6,35.6,False,5729,38.3,0
+1052,60,Female,130,91,228,47,146,169,132,6.4,27.3,80,174,Asymptomatic,False,2.4,False,Former,9.9,99,6.6,58.2,False,5414,52.7,0
+1053,56,Female,109,59,172,80,73,136,126,5.9,26.9,64,179,Asymptomatic,False,1.0,False,Former,9.1,276,7.1,46.2,True,10352,56.4,0
+1054,66,Female,121,79,205,73,80,197,117,5.5,20.9,68,153,Atypical Angina,False,0.2,True,Former,14.9,82,6.8,43.2,False,3674,61.6,0
+1055,32,Female,118,80,204,72,105,140,84,4.6,25.6,88,196,Typical Angina,False,1.2,False,Never,11.5,145,4.9,48.3,True,7677,53.6,0
+1056,54,Female,118,74,188,64,104,130,132,6.2,29.3,68,193,Asymptomatic,False,0.3,False,Never,0.7,141,9.0,28.4,True,7706,59.8,0
+1057,58,Male,129,86,223,58,118,173,102,6.1,27.3,83,154,Non-Anginal Pain,False,0.1,False,Never,2.1,59,6.0,64.5,True,5374,54.2,0
+1058,58,Female,113,88,199,74,95,163,129,6.0,28.3,97,180,Asymptomatic,False,1.5,True,Never,5.0,129,6.6,67.3,False,8993,50.0,0
+1059,61,Female,143,103,155,43,104,91,136,6.2,26.7,84,150,Typical Angina,False,2.3,True,Former,0.8,126,6.6,30.3,False,6165,71.1,1
+1060,39,Male,111,68,146,56,39,199,99,5.0,27.1,67,181,Non-Anginal Pain,False,0.3,False,Never,2.7,163,6.4,65.3,False,9483,54.7,0
+1061,73,Female,135,81,139,51,83,149,115,5.3,24.2,94,133,Asymptomatic,False,0.4,True,Former,4.5,147,7.3,51.9,True,4354,79.6,0
+1062,60,Male,133,86,209,54,97,260,129,6.2,31.1,92,161,Atypical Angina,False,2.4,False,Never,17.2,63,5.8,62.0,False,6073,65.3,1
+1063,61,Male,108,76,161,22,116,151,110,5.7,28.6,70,173,Asymptomatic,False,0.3,False,Never,4.1,147,8.0,30.1,True,9078,52.8,0
+1064,47,Male,139,77,194,57,109,127,102,5.6,26.3,71,153,Asymptomatic,False,0.1,False,Former,6.2,75,6.5,57.4,True,3443,43.6,0
+1065,56,Female,132,90,215,82,124,153,126,5.8,23.3,80,161,Non-Anginal Pain,True,0.0,False,Current,2.4,106,6.6,57.1,False,7878,60.4,0
+1066,71,Female,133,90,245,62,150,153,85,5.1,27.4,93,140,Asymptomatic,True,1.5,False,Former,4.2,142,6.7,43.6,True,7276,59.6,1
+1067,54,Male,138,85,153,50,81,94,106,5.1,18.8,69,167,Atypical Angina,True,0.1,False,Never,2.1,198,7.3,51.8,True,8812,75.9,0
+1068,57,Female,127,65,155,22,90,162,148,6.7,25.7,81,198,Atypical Angina,False,0.4,True,Never,3.8,105,7.6,49.3,False,4883,58.1,0
+1069,58,Female,119,77,215,69,108,160,111,5.6,24.6,76,192,Non-Anginal Pain,False,0.1,False,Former,0.9,94,7.0,56.7,False,7420,58.6,0
+1070,33,Male,129,74,172,62,91,102,120,5.5,22.7,75,183,Asymptomatic,False,0.6,True,Former,5.0,143,5.7,46.0,False,5942,72.5,1
+1071,52,Female,114,73,198,92,80,134,105,6.2,25.6,77,169,Atypical Angina,True,2.1,False,Former,1.1,234,7.9,60.9,True,7319,52.5,0
+1072,63,Female,122,64,115,55,60,67,119,6.2,29.8,78,151,Typical Angina,False,2.5,False,Never,4.8,164,7.3,57.7,False,5161,63.6,0
+1073,48,Male,138,94,230,63,140,131,165,6.7,29.3,90,163,Asymptomatic,False,0.9,False,Never,4.9,76,6.0,38.4,False,7872,61.9,1
+1074,53,Male,143,90,177,55,93,158,118,5.5,26.4,78,144,Non-Anginal Pain,False,0.2,False,Never,18.3,178,6.9,64.2,True,7048,34.2,0
+1075,54,Female,121,69,218,79,125,105,92,5.1,18.4,77,169,Asymptomatic,False,0.9,False,Current,2.9,214,8.4,27.7,True,8225,76.3,0
+1076,33,Male,97,68,137,52,76,91,125,6.1,19.4,71,193,Asymptomatic,False,0.4,True,Current,3.4,169,6.4,42.5,True,8118,66.4,0
+1077,64,Female,134,86,172,48,93,136,133,6.0,26.0,78,137,Asymptomatic,False,3.8,True,Never,2.8,37,5.3,53.0,False,2328,42.7,1
+1078,36,Male,138,88,165,48,77,178,136,6.4,26.0,70,210,Asymptomatic,False,1.1,False,Former,8.4,97,8.5,71.9,True,4185,68.8,0
+1079,59,Male,126,73,204,38,129,182,149,6.1,28.2,74,150,Asymptomatic,False,1.4,True,Former,4.2,160,7.3,62.3,False,5034,54.2,1
+1080,52,Male,113,73,137,40,83,55,105,5.9,23.9,61,137,Asymptomatic,True,1.0,False,Former,5.7,199,5.5,53.0,True,7254,78.7,1
+1081,50,Male,124,85,210,72,100,234,116,5.3,23.7,83,189,Asymptomatic,False,1.5,True,Former,3.3,216,7.2,52.1,False,6031,56.8,0
+1082,55,Female,130,90,210,57,121,144,145,6.7,25.2,98,157,Asymptomatic,False,0.1,False,Former,3.8,68,6.4,67.2,False,5776,47.6,0
+1083,64,Female,128,73,194,46,128,124,115,5.0,25.6,89,156,Non-Anginal Pain,False,1.7,False,Former,5.9,125,6.3,14.4,False,3659,56.0,0
+1084,65,Female,126,80,199,69,128,73,106,6.1,24.5,76,157,Typical Angina,True,0.4,False,Never,2.1,100,8.3,59.9,False,5065,50.2,1
+1085,48,Male,109,78,247,66,146,117,129,6.5,25.7,87,154,Asymptomatic,False,0.7,False,Never,9.5,169,7.4,9.5,True,5670,37.0,1
+1086,52,Female,115,65,141,62,54,135,154,6.7,27.0,68,176,Non-Anginal Pain,True,0.5,False,Never,0.9,248,7.7,43.9,False,5304,68.5,0
+1087,43,Female,106,71,225,83,103,165,124,5.8,21.1,81,176,Asymptomatic,False,0.1,False,Former,1.7,241,6.5,79.4,True,4073,51.0,0
+1088,35,Male,122,71,204,43,126,160,152,7.3,25.8,74,179,Asymptomatic,False,0.6,True,Never,2.9,179,6.1,76.9,True,8707,32.1,1
+1089,66,Female,132,76,139,55,69,64,118,5.6,24.5,76,153,Non-Anginal Pain,True,1.6,True,Never,0.1,142,6.1,61.4,False,2365,55.2,0
+1090,40,Male,129,83,182,41,94,241,100,5.5,26.4,71,164,Asymptomatic,False,0.2,False,Never,24.3,215,6.1,47.3,False,4839,68.9,0
+1091,44,Female,112,74,172,68,85,123,133,6.0,21.9,71,206,Non-Anginal Pain,True,0.9,True,Never,2.0,244,7.9,47.5,True,7763,56.2,0
+1092,59,Male,143,85,156,60,81,68,143,6.2,20.9,63,153,Asymptomatic,False,1.6,False,Never,2.2,120,6.1,23.8,True,5028,59.8,0
+1093,36,Male,114,64,201,56,127,116,85,4.6,18.1,73,188,Asymptomatic,False,1.3,False,Former,18.3,119,7.1,44.7,False,8626,41.7,0
+1094,60,Male,151,91,167,54,88,114,100,5.7,31.0,80,166,Non-Anginal Pain,False,1.3,False,Former,2.8,144,8.4,50.5,True,7088,69.7,0
+1095,43,Male,85,51,217,62,127,84,102,5.5,20.0,73,184,Asymptomatic,False,1.6,False,Never,2.6,149,6.1,24.3,False,2428,65.0,0
+1096,39,Male,117,74,175,34,106,191,114,5.5,26.5,79,185,Asymptomatic,False,0.3,False,Never,4.0,163,9.6,53.3,True,9285,54.0,0
+1097,46,Female,132,91,235,85,129,85,87,5.4,21.5,78,190,Non-Anginal Pain,False,0.2,False,Former,5.2,201,3.6,25.6,True,13562,63.0,0
+1098,43,Male,141,90,179,50,111,125,138,6.0,29.0,92,139,Asymptomatic,True,0.3,False,Never,13.8,193,8.6,77.2,True,8266,69.2,1
+1099,57,Male,107,75,197,58,115,141,83,5.6,32.8,71,161,Atypical Angina,True,1.5,False,Never,1.8,130,6.5,60.4,False,4910,50.3,1
+1100,72,Male,119,90,163,63,73,159,129,6.3,25.7,86,141,Asymptomatic,False,0.7,False,Never,4.3,204,8.4,36.3,True,7156,73.3,0
+1101,63,Female,140,90,147,58,81,167,127,5.8,27.7,79,154,Non-Anginal Pain,False,1.3,False,Current,18.5,136,8.4,48.3,True,7346,60.2,0
+1102,60,Male,130,81,175,63,73,150,129,6.1,27.6,86,166,Atypical Angina,False,2.5,False,Never,2.1,101,8.0,54.5,False,6751,52.4,0
+1103,46,Male,118,76,166,63,110,49,84,4.4,15.0,76,197,Non-Anginal Pain,False,1.0,False,Never,2.8,161,6.2,39.9,False,2912,68.2,0
+1104,51,Female,117,78,190,50,121,137,113,5.4,24.6,77,167,Typical Angina,False,0.3,False,Former,2.6,171,8.7,43.7,True,7600,72.8,0
+1105,55,Male,122,73,225,66,117,197,119,5.2,27.0,62,184,Asymptomatic,False,0.9,False,Never,7.3,170,6.6,27.8,False,7420,50.6,0
+1106,53,Female,118,84,211,53,120,163,88,4.6,26.9,72,182,Asymptomatic,True,0.6,False,Current,5.5,310,6.4,39.8,False,6283,54.8,0
+1107,56,Female,123,78,170,59,86,134,117,5.1,25.8,69,170,Non-Anginal Pain,False,0.7,True,Never,7.4,48,7.6,27.8,False,4295,47.2,0
+1108,38,Female,105,70,218,75,92,210,114,5.8,23.5,65,186,Atypical Angina,False,1.7,False,Former,3.1,185,6.7,15.8,True,11235,87.6,0
+1109,77,Male,158,100,198,40,128,129,68,4.0,27.0,77,127,Non-Anginal Pain,False,0.2,False,Never,3.8,155,7.3,72.9,True,3114,52.4,1
+1110,36,Female,129,90,198,61,95,181,94,6.1,26.7,80,178,Asymptomatic,False,0.1,True,Former,8.5,134,6.0,71.4,False,7163,54.3,0
+1111,52,Male,128,70,199,31,139,102,73,4.0,29.6,71,170,Atypical Angina,False,0.3,False,Former,4.8,249,6.7,63.1,True,6367,40.4,0
+1112,64,Female,114,72,213,67,122,146,143,6.3,25.5,97,128,Asymptomatic,True,0.2,True,Former,5.8,141,9.0,40.8,False,3141,85.3,1
+1113,44,Female,143,86,190,57,116,145,116,5.0,31.5,85,192,Atypical Angina,True,2.4,False,Never,1.6,157,5.5,41.1,False,3830,32.0,0
+1114,67,Female,127,84,124,51,44,100,92,5.4,24.1,79,151,Non-Anginal Pain,False,0.3,True,Never,3.6,54,7.2,36.1,False,2830,70.7,0
+1115,35,Female,122,67,225,77,91,152,115,6.0,26.4,85,188,Asymptomatic,False,0.9,False,Former,2.0,143,8.1,38.4,True,5882,67.2,0
+1116,44,Male,137,88,216,38,136,195,146,7.0,43.3,89,187,Asymptomatic,False,2.0,False,Never,2.0,102,7.2,57.7,True,8745,34.9,0
+1117,23,Male,109,63,129,47,47,134,85,4.8,28.4,65,204,Non-Anginal Pain,False,1.2,False,Former,14.3,142,5.3,44.1,True,5497,75.0,0
+1118,67,Female,131,86,180,60,97,169,159,6.9,23.0,91,133,Asymptomatic,False,3.5,False,Current,6.7,123,5.7,63.2,True,8136,71.9,1
+1119,38,Female,142,89,178,58,68,226,125,5.8,30.8,68,191,Atypical Angina,False,0.2,True,Former,1.4,153,6.6,50.6,False,1789,73.6,0
+1120,44,Male,129,78,160,54,77,149,137,6.4,24.5,87,152,Atypical Angina,False,0.4,False,Never,1.6,92,3.9,25.5,False,3805,50.1,1
+1121,63,Female,132,93,195,57,123,71,112,5.0,21.9,79,154,Atypical Angina,False,0.2,True,Current,0.1,187,5.8,62.9,True,6336,77.5,0
+1122,58,Female,120,60,237,61,146,208,83,4.4,33.0,87,157,Asymptomatic,False,0.6,False,Never,1.6,86,7.1,72.7,False,4116,65.8,0
+1123,67,Male,117,70,220,54,138,162,144,6.6,28.6,83,148,Asymptomatic,False,1.3,False,Former,3.2,14,7.9,70.0,False,4507,69.6,0
+1124,62,Male,128,92,169,37,109,88,117,5.8,25.7,67,147,Asymptomatic,False,0.6,False,Never,6.8,133,8.5,58.2,True,6612,80.4,0
+1125,65,Male,136,96,141,45,73,93,118,5.4,30.1,90,171,Non-Anginal Pain,False,1.1,True,Former,9.8,227,8.2,45.4,False,7856,59.4,0
+1126,47,Female,111,73,182,44,103,141,87,4.5,20.4,78,168,Atypical Angina,False,0.3,False,Current,2.2,139,8.7,28.9,True,6885,49.1,0
+1127,52,Female,124,79,192,53,97,183,97,5.4,23.0,77,164,Typical Angina,True,0.5,True,Former,13.3,115,6.6,29.5,True,5267,54.6,0
+1128,63,Male,131,89,181,45,105,153,127,5.9,27.1,73,131,Non-Anginal Pain,False,2.7,False,Former,3.5,122,7.0,22.7,False,3415,40.0,1
+1129,63,Male,135,86,184,63,88,140,180,7.6,27.2,82,139,Atypical Angina,False,1.2,True,Never,2.6,113,7.6,26.2,False,5751,63.8,1
+1130,65,Male,113,74,245,79,134,144,104,5.3,23.8,67,168,Non-Anginal Pain,False,1.0,True,Never,2.5,67,8.6,40.0,True,6205,71.1,0
+1131,43,Female,135,78,218,66,109,121,121,6.1,21.1,79,179,Asymptomatic,False,0.7,True,Current,1.2,117,7.5,51.4,False,8545,58.7,0
+1132,39,Female,126,81,223,58,132,121,121,5.8,23.8,88,161,Asymptomatic,False,0.2,False,Never,2.4,172,6.6,63.3,False,4576,65.1,0
+1133,37,Female,112,83,193,69,92,196,135,5.9,25.5,88,192,Atypical Angina,False,0.6,False,Never,4.2,101,4.7,68.2,False,4636,93.2,0
+1134,47,Female,109,68,152,31,94,85,134,6.1,18.1,87,182,Atypical Angina,False,2.3,False,Never,5.5,134,6.9,55.3,True,6936,58.6,0
+1135,52,Female,126,85,202,71,106,115,136,6.0,26.3,83,147,Non-Anginal Pain,True,2.0,True,Never,0.1,130,7.3,52.3,False,2598,41.4,1
+1136,38,Male,124,82,134,25,68,206,127,5.9,30.5,89,196,Non-Anginal Pain,False,3.8,False,Never,6.2,73,8.3,57.5,False,500,57.8,1
+1137,51,Female,151,92,213,48,133,165,155,6.7,31.3,81,146,Asymptomatic,False,0.6,False,Former,7.4,86,5.9,64.1,False,6252,47.1,1
+1138,61,Female,141,99,214,38,132,188,120,5.6,27.9,78,147,Asymptomatic,False,0.7,False,Never,9.3,126,7.6,24.3,True,3475,54.0,0
+1139,66,Male,140,84,186,42,101,200,102,5.8,24.3,87,126,Asymptomatic,False,0.9,False,Former,2.3,180,6.0,27.7,True,7602,63.4,1
+1140,46,Male,130,88,164,63,70,165,132,6.1,27.3,76,187,Non-Anginal Pain,False,1.3,False,Never,10.3,145,5.7,60.7,False,6006,53.4,0
+1141,61,Male,118,79,183,24,128,174,132,6.0,25.5,78,142,Non-Anginal Pain,True,3.7,False,Current,5.4,183,3.1,50.3,True,7788,43.2,1
+1142,37,Male,147,102,222,57,137,158,80,5.0,26.0,99,174,Asymptomatic,False,0.3,False,Former,3.1,133,6.7,77.8,False,3762,60.9,0
+1143,45,Male,130,86,190,60,108,174,144,6.4,21.4,76,154,Non-Anginal Pain,True,5.3,False,Never,3.1,123,8.2,35.9,False,8914,59.8,1
+1144,55,Female,116,76,166,50,99,79,143,6.4,20.6,80,146,Non-Anginal Pain,True,0.5,True,Never,0.6,146,6.0,58.8,True,4588,69.5,1
+1145,45,Male,111,69,146,61,81,76,110,5.5,15.8,84,182,Asymptomatic,False,1.2,True,Never,3.1,199,7.0,39.1,False,2456,59.1,0
+1146,43,Male,130,85,174,66,87,91,131,5.7,26.5,68,162,Non-Anginal Pain,False,0.7,False,Former,4.5,144,7.6,57.9,True,5677,65.2,0
+1147,57,Female,130,89,160,76,65,158,111,5.6,22.7,61,173,Asymptomatic,False,0.3,False,Former,1.4,254,6.7,56.4,True,7333,89.1,0
+1148,40,Female,95,64,166,73,83,67,94,4.4,21.1,81,172,Atypical Angina,True,2.1,False,Current,1.3,176,6.1,39.8,True,8105,63.4,1
+1149,55,Male,115,77,154,60,86,85,138,6.1,21.6,60,164,Non-Anginal Pain,False,0.9,False,Never,8.1,227,7.7,59.5,False,4689,59.3,0
+1150,52,Female,120,74,208,64,112,180,113,6.0,33.4,94,192,Typical Angina,False,0.8,True,Never,8.5,261,7.7,55.2,True,8021,55.7,0
+1151,60,Male,127,84,191,56,120,100,159,6.2,18.3,69,154,Non-Anginal Pain,False,0.7,False,Never,14.2,139,6.0,17.5,False,5936,33.5,1
+1152,63,Female,151,91,187,67,92,184,145,6.3,29.4,80,152,Non-Anginal Pain,False,0.8,False,Never,4.3,68,6.3,64.5,False,3014,85.2,1
+1153,55,Male,129,80,221,58,123,185,121,5.8,24.8,73,151,Non-Anginal Pain,False,3.2,False,Never,7.4,200,7.2,41.6,True,10172,41.3,0
+1154,47,Female,118,81,159,54,97,35,156,7.2,22.8,83,186,Non-Anginal Pain,False,0.1,True,Former,0.9,177,7.1,54.0,False,8206,71.6,0
+1155,66,Female,134,81,261,62,165,161,124,6.1,28.8,89,150,Asymptomatic,False,0.9,False,Never,16.9,121,7.5,83.5,False,5110,37.9,0
+1156,56,Female,135,84,207,70,95,155,119,5.8,22.8,82,180,Asymptomatic,False,0.1,False,Current,1.9,82,6.2,64.0,False,5178,66.7,0
+1157,42,Female,125,81,179,47,99,198,134,6.0,24.7,83,149,Asymptomatic,False,0.1,False,Current,3.4,176,7.5,20.2,False,6493,37.9,0
+1158,55,Male,131,82,209,58,118,190,117,6.1,27.7,88,169,Asymptomatic,True,0.4,False,Former,9.5,80,8.6,61.6,True,8495,51.3,1
+1159,45,Female,100,60,126,69,43,110,153,6.0,22.4,70,198,Atypical Angina,False,0.5,True,Never,9.2,223,6.5,33.0,False,8659,79.7,0
+1160,20,Male,122,80,219,51,132,171,138,6.1,22.7,89,196,Asymptomatic,False,0.2,False,Former,2.8,170,7.4,30.0,False,5795,58.3,0
+1161,41,Male,123,72,138,37,72,83,101,5.7,29.1,79,191,Atypical Angina,False,0.6,True,Former,2.0,219,5.5,65.5,False,6292,67.9,0
+1162,48,Male,136,85,202,62,130,71,102,5.9,19.1,76,182,Asymptomatic,False,0.2,False,Never,2.8,227,8.6,49.7,True,6131,69.7,0
+1163,47,Male,106,65,150,40,95,99,79,4.8,26.0,89,157,Typical Angina,False,0.9,False,Never,1.9,147,6.8,30.4,False,3214,49.1,1
+1164,33,Female,96,56,148,62,64,199,120,5.7,18.0,88,162,Asymptomatic,False,0.9,False,Former,0.7,80,7.1,42.1,True,9740,63.1,0
+1165,49,Female,123,66,179,65,91,184,108,5.6,29.0,86,160,Asymptomatic,False,3.1,True,Former,0.9,176,7.8,62.6,True,5536,69.6,0
+1166,59,Male,125,82,202,56,108,194,135,5.4,22.7,88,172,Atypical Angina,False,0.6,False,Never,2.1,71,7.3,48.4,False,3907,72.9,0
+1167,38,Female,120,65,204,71,106,162,78,4.0,29.3,89,188,Asymptomatic,False,1.0,True,Never,4.0,139,9.4,46.1,True,5398,92.1,0
+1168,56,Female,127,71,174,73,66,168,87,5.1,19.0,78,166,Asymptomatic,False,1.0,True,Never,11.0,171,8.9,29.3,False,3947,55.1,0
+1169,27,Female,104,64,167,38,121,35,125,5.8,32.8,78,204,Asymptomatic,False,0.7,False,Never,2.9,124,8.7,47.3,False,6967,81.5,0
+1170,60,Male,128,80,197,50,124,116,100,5.5,25.1,88,146,Asymptomatic,True,5.0,True,Current,4.5,203,7.9,32.7,True,8281,77.0,1
+1171,46,Male,125,85,183,58,95,210,83,4.4,25.8,86,163,Non-Anginal Pain,False,0.7,True,Never,4.6,122,7.4,30.6,False,5770,69.5,0
+1172,36,Female,113,59,146,35,71,155,113,5.5,24.7,71,197,Non-Anginal Pain,False,1.5,False,Never,8.5,157,9.6,50.9,True,8066,61.5,0
+1173,68,Male,141,83,194,53,106,140,169,7.1,34.1,84,137,Asymptomatic,True,0.2,False,Never,2.0,53,6.9,54.8,True,5528,78.9,1
+1174,59,Male,142,85,209,56,104,246,147,6.8,30.2,94,163,Non-Anginal Pain,False,1.1,False,Current,3.6,125,7.2,64.3,True,4991,50.6,0
+1175,65,Female,121,84,250,60,158,164,117,5.9,28.4,78,156,Asymptomatic,False,1.5,False,Never,1.0,102,7.1,66.1,False,5730,45.2,0
+1176,57,Male,113,70,104,42,50,73,91,5.3,24.0,70,170,Asymptomatic,False,0.2,True,Never,8.8,166,6.5,78.4,False,9084,49.4,0
+1177,58,Female,127,73,207,76,61,300,122,6.0,32.7,74,170,Asymptomatic,True,2.0,False,Never,4.0,167,7.7,28.9,True,5865,47.1,0
+1178,48,Female,119,76,143,46,91,37,144,6.2,28.0,71,162,Asymptomatic,False,1.0,False,Never,0.2,219,6.2,50.8,True,10523,85.7,0
+1179,59,Male,122,67,210,64,99,171,96,5.5,26.2,72,171,Asymptomatic,False,0.6,False,Never,1.8,240,7.9,37.7,True,8783,93.2,0
+1180,52,Female,125,92,157,65,74,115,148,6.7,26.6,75,185,Typical Angina,False,0.2,False,Never,5.2,136,7.6,61.7,False,3536,60.1,0
+1181,45,Male,135,96,154,52,73,169,107,5.3,28.2,87,181,Asymptomatic,False,0.9,False,Never,1.9,193,7.6,44.1,True,8932,77.7,0
+1182,51,Male,109,72,193,34,126,110,121,5.5,26.3,80,150,Asymptomatic,True,0.5,True,Never,3.1,87,6.8,18.0,True,3823,53.0,1
+1183,37,Female,111,81,221,83,101,104,154,6.7,22.4,73,203,Non-Anginal Pain,False,0.6,True,Former,4.0,187,6.7,49.7,True,8958,76.3,0
+1184,53,Male,95,57,160,38,84,161,94,4.8,22.7,88,176,Asymptomatic,False,1.9,False,Never,7.4,142,8.4,51.2,False,5258,55.9,0
+1185,59,Female,134,84,188,54,113,129,112,5.8,18.3,73,143,Asymptomatic,True,1.0,False,Current,2.8,118,6.3,72.9,True,6610,85.6,1
+1186,55,Female,138,79,218,57,135,118,140,6.3,31.5,91,164,Non-Anginal Pain,False,1.0,False,Never,1.5,155,8.6,49.5,True,9310,25.3,0
+1187,60,Male,125,79,165,65,62,180,149,6.7,25.5,89,163,Typical Angina,False,1.3,False,Never,7.9,243,7.4,45.5,True,10712,65.7,0
+1188,49,Female,129,66,111,53,35,103,98,5.1,16.6,99,169,Atypical Angina,False,1.0,False,Former,1.1,118,7.4,65.5,True,5593,69.7,0
+1189,53,Female,128,75,187,64,81,238,95,4.7,21.3,85,150,Atypical Angina,False,0.6,False,Never,14.4,180,6.2,18.1,True,8983,45.5,0
+1190,53,Female,116,73,183,70,69,163,123,5.4,27.0,81,168,Non-Anginal Pain,False,0.1,True,Never,7.7,122,6.3,43.0,False,5032,63.3,0
+1191,78,Male,143,95,184,70,84,155,124,6.4,24.8,93,134,Asymptomatic,True,2.1,False,Never,12.4,110,6.4,51.7,False,8341,52.5,1
+1192,36,Female,116,66,203,93,81,141,71,4.4,17.7,64,210,Asymptomatic,False,0.5,False,Never,2.6,230,6.2,29.6,True,9960,64.3,0
+1193,79,Male,127,85,212,64,101,156,112,5.5,19.7,81,128,Atypical Angina,False,2.5,False,Current,2.9,260,11.0,59.0,True,7595,60.9,1
+1194,44,Female,118,81,146,62,47,130,85,4.5,15.0,69,176,Asymptomatic,False,0.8,False,Never,1.0,159,8.2,46.9,True,6736,47.4,0
+1195,49,Male,147,93,128,55,44,139,112,5.9,21.5,86,182,Asymptomatic,False,0.6,False,Never,10.5,153,6.1,72.6,False,8180,67.5,0
+1196,57,Female,134,85,223,75,109,215,107,5.9,21.5,77,175,Non-Anginal Pain,True,0.9,False,Never,6.7,167,6.9,47.3,False,3330,62.8,0
+1197,61,Male,137,89,221,50,146,101,107,5.2,17.6,81,149,Non-Anginal Pain,False,0.6,False,Never,8.5,41,7.3,46.5,False,4069,34.3,0
+1198,53,Male,128,82,170,40,96,124,104,5.1,31.8,79,160,Asymptomatic,False,1.4,False,Never,4.1,54,6.3,29.8,False,8792,53.1,0
+1199,56,Male,149,104,176,40,94,121,99,4.9,27.2,86,170,Asymptomatic,True,0.8,False,Never,6.1,93,8.5,32.5,False,2887,34.8,0
+1200,71,Female,148,93,170,58,98,86,74,4.5,24.3,96,155,Asymptomatic,False,0.1,False,Never,1.0,127,7.3,72.4,False,7498,67.8,0
+1201,87,Male,159,96,282,76,159,271,123,6.1,29.0,84,154,Typical Angina,False,1.4,False,Former,12.3,232,7.5,50.0,True,8012,49.2,0
+1202,58,Female,112,78,189,73,111,35,138,5.9,24.6,86,172,Asymptomatic,False,0.8,True,Former,4.8,170,7.2,42.4,True,8614,66.3,0
+1203,62,Female,103,64,231,55,135,140,105,5.1,19.0,79,175,Asymptomatic,False,0.6,False,Never,1.8,189,5.8,33.2,True,8028,37.4,0
+1204,52,Female,105,77,150,68,76,46,119,5.7,20.2,79,177,Asymptomatic,False,0.5,False,Never,4.2,215,7.4,67.4,True,13950,57.4,0
+1205,75,Male,136,85,177,35,114,132,128,6.0,22.8,78,128,Asymptomatic,True,0.5,True,Never,1.7,55,6.0,57.5,False,2383,57.5,1
+1206,52,Female,113,88,249,77,131,264,138,6.0,22.5,87,156,Asymptomatic,True,1.7,True,Never,1.3,209,6.8,66.1,True,6367,69.3,1
+1207,60,Male,135,80,184,53,108,99,117,6.0,22.5,73,154,Non-Anginal Pain,False,0.1,False,Current,3.6,149,6.1,45.6,True,8858,57.4,0
+1208,40,Male,141,80,184,61,89,153,143,6.2,27.6,86,158,Asymptomatic,False,0.3,False,Never,13.4,106,8.3,58.3,False,2319,50.5,0
+1209,19,Male,113,64,173,59,80,149,115,5.3,25.7,72,210,Asymptomatic,False,1.0,False,Never,7.6,265,7.2,30.2,True,10199,55.1,0
+1210,82,Male,142,85,157,65,71,142,104,5.4,18.5,85,150,Atypical Angina,False,0.4,False,Never,16.0,217,9.1,62.0,True,9669,71.2,0
+1211,67,Male,114,84,231,79,124,135,106,5.3,15.0,72,161,Asymptomatic,False,0.8,False,Never,7.0,140,6.1,51.0,False,5199,50.7,0
+1212,65,Male,128,92,236,64,138,139,127,5.8,22.7,71,121,Asymptomatic,True,2.4,False,Never,5.5,106,7.2,61.3,False,5160,48.9,1
+1213,41,Female,133,86,228,65,103,189,98,4.9,18.8,65,184,Asymptomatic,False,0.8,False,Never,0.1,226,5.1,59.3,True,8920,50.0,0
+1214,32,Male,102,60,156,31,81,165,119,6.5,21.4,90,166,Atypical Angina,False,0.1,False,Current,9.8,127,7.0,64.5,False,3571,26.1,1
+1215,50,Female,117,77,208,62,116,202,117,5.8,26.1,82,179,Atypical Angina,False,0.6,True,Former,2.6,210,9.0,62.9,True,6125,59.8,0
+1216,55,Female,124,72,149,58,83,114,133,6.0,21.0,84,171,Non-Anginal Pain,False,1.3,True,Former,2.9,92,5.0,45.4,False,5651,100.0,0
+1217,62,Female,117,84,178,52,104,101,115,5.5,22.9,71,157,Asymptomatic,False,0.3,False,Never,0.4,140,5.9,37.6,False,5568,82.8,0
+1218,53,Male,112,77,217,67,115,120,133,5.9,21.5,76,189,Non-Anginal Pain,False,0.3,False,Current,1.7,150,6.5,61.2,True,5666,62.2,0
+1219,70,Female,146,93,268,71,179,79,131,6.3,28.0,88,115,Asymptomatic,True,0.1,False,Current,9.6,155,7.3,65.5,True,6411,55.4,1
+1220,58,Male,125,68,173,41,103,155,116,5.5,26.6,87,136,Asymptomatic,False,0.9,True,Current,7.7,44,7.8,45.0,False,4768,40.0,1
+1221,57,Female,118,75,179,56,87,138,122,6.1,28.0,73,165,Atypical Angina,False,1.4,True,Never,4.7,152,6.2,49.3,False,3815,51.9,0
+1222,68,Female,120,80,215,46,148,139,65,4.6,27.0,92,128,Non-Anginal Pain,False,0.4,False,Current,4.9,128,7.5,50.5,False,3558,79.4,1
+1223,45,Male,133,80,152,51,70,142,115,5.9,25.4,66,184,Asymptomatic,False,0.3,False,Never,6.8,160,7.6,46.7,False,5511,76.5,0
+1224,58,Male,129,78,141,68,52,68,116,5.6,19.3,89,145,Asymptomatic,False,1.1,True,Former,3.3,217,8.6,64.2,True,10138,98.4,0
+1225,46,Female,117,73,193,45,112,138,114,5.1,28.7,88,179,Atypical Angina,False,2.9,True,Current,7.0,107,6.5,65.5,False,4939,47.5,1
+1226,45,Male,99,58,123,27,49,248,123,5.7,20.4,88,190,Asymptomatic,True,0.0,False,Never,5.7,132,7.5,39.1,False,2934,62.2,0
+1227,73,Female,104,67,154,53,72,154,119,5.8,20.0,60,132,Asymptomatic,False,2.4,False,Never,0.1,222,6.9,66.7,True,6428,74.8,0
+1228,67,Female,145,88,276,83,154,266,182,7.7,35.1,83,130,Asymptomatic,True,0.4,False,Never,4.7,119,8.2,64.2,True,7538,45.2,0
+1229,60,Female,139,78,175,60,96,46,113,5.7,24.0,74,168,Atypical Angina,False,0.5,True,Former,3.3,143,7.7,48.7,True,9888,62.3,1
+1230,70,Female,127,84,204,52,74,310,133,6.3,23.7,78,143,Typical Angina,True,0.9,False,Current,6.8,119,8.8,75.2,True,10045,55.1,1
+1231,58,Female,128,87,186,60,118,45,147,6.5,23.0,95,151,Asymptomatic,False,0.8,True,Current,1.9,127,7.4,77.9,False,5789,67.0,1
+1232,71,Female,137,92,235,88,94,228,131,6.3,26.4,77,157,Typical Angina,True,0.5,False,Never,0.2,273,8.8,37.6,True,10775,57.3,1
+1233,42,Female,130,85,241,69,130,204,123,5.8,23.9,82,177,Asymptomatic,False,0.7,False,Former,2.4,151,8.4,52.7,True,7119,65.5,0
+1234,51,Male,108,83,170,36,80,222,151,6.4,33.7,104,175,Asymptomatic,True,2.2,True,Current,1.7,80,5.4,83.5,False,4353,41.5,1
+1235,58,Female,140,85,214,65,133,141,160,6.3,21.3,85,129,Atypical Angina,True,1.5,True,Never,0.1,97,6.0,42.5,False,3439,41.7,1
+1236,40,Male,134,80,184,43,123,113,140,6.4,30.0,69,161,Asymptomatic,True,0.3,False,Never,8.6,142,7.7,19.4,False,8217,32.6,1
+1237,45,Male,110,73,222,46,130,172,107,5.4,21.9,82,192,Asymptomatic,False,1.5,True,Never,19.5,214,6.3,20.9,True,7256,56.2,0
+1238,37,Male,103,63,163,72,74,113,108,5.6,23.1,80,183,Asymptomatic,False,0.3,False,Never,4.9,189,6.9,43.6,True,5439,78.6,0
+1239,62,Male,124,63,170,45,110,90,124,5.7,19.5,95,160,Asymptomatic,False,1.4,False,Never,1.6,93,7.3,55.5,False,4149,53.0,0
+1240,47,Female,124,86,239,63,140,197,96,5.6,30.4,96,169,Asymptomatic,False,0.8,False,Never,13.3,114,4.3,40.4,False,5024,63.7,0
+1241,57,Male,125,69,198,45,123,217,134,5.6,27.7,72,150,Asymptomatic,False,0.2,True,Current,2.2,189,6.8,46.0,True,7290,57.1,0
+1242,60,Male,138,104,228,39,142,188,95,5.5,19.8,77,151,Atypical Angina,False,0.6,False,Never,15.4,38,6.8,48.2,False,4254,52.5,0
+1243,51,Female,138,88,161,75,62,142,110,5.8,22.7,77,181,Asymptomatic,False,0.6,True,Never,14.0,190,6.4,42.5,True,6488,57.8,0
+1244,54,Female,105,52,142,59,80,65,112,5.3,27.8,94,155,Non-Anginal Pain,False,1.6,True,Former,0.2,83,6.7,51.7,True,7089,87.9,0
+1245,55,Male,121,79,172,68,81,191,106,5.5,23.5,77,151,Non-Anginal Pain,True,1.7,True,Never,15.8,175,7.9,75.6,True,7740,61.8,1
+1246,59,Male,151,92,167,71,76,146,109,6.3,26.8,86,165,Typical Angina,False,0.3,False,Former,7.2,88,7.7,40.5,False,4479,79.4,0
+1247,71,Female,155,94,227,77,107,154,112,5.5,27.7,86,159,Typical Angina,False,0.4,False,Never,1.8,33,7.8,57.1,False,4578,68.0,0
+1248,39,Female,126,78,200,59,107,127,100,5.2,26.1,76,193,Atypical Angina,False,0.1,True,Former,1.5,187,7.8,56.5,True,9580,75.6,0
+1249,54,Male,120,75,202,69,110,121,143,6.3,22.7,61,169,Asymptomatic,False,0.6,False,Never,5.4,245,8.8,62.0,False,5932,59.8,0
+1250,38,Female,105,59,253,43,195,81,81,4.2,23.4,78,190,Asymptomatic,False,0.2,False,Former,1.7,59,5.0,41.5,False,5175,39.4,0
+1251,72,Female,131,87,209,84,105,127,141,6.3,20.1,74,153,Asymptomatic,True,0.6,False,Never,7.7,215,7.7,31.6,True,9670,65.2,0
+1252,30,Female,106,71,213,64,104,233,139,5.9,21.4,73,207,Non-Anginal Pain,False,0.8,False,Current,2.0,234,8.4,31.8,True,12115,76.3,0
+1253,55,Male,133,75,189,47,104,147,129,6.3,29.5,82,145,Typical Angina,False,1.7,True,Former,3.0,138,6.8,73.2,True,7503,77.2,1
+1254,48,Male,135,83,212,50,123,210,107,5.8,27.9,72,191,Typical Angina,False,1.4,False,Former,33.7,199,6.3,67.9,False,5447,47.5,0
+1255,46,Male,130,85,225,55,122,184,121,5.8,30.2,70,181,Asymptomatic,False,0.6,False,Never,4.5,179,7.5,56.1,True,9666,74.1,0
+1256,62,Female,136,83,136,55,67,107,128,6.1,31.0,95,158,Asymptomatic,False,0.3,False,Current,1.0,120,4.6,53.7,True,4432,64.3,0
+1257,60,Male,117,70,186,47,127,144,78,5.4,28.3,84,148,Atypical Angina,False,1.0,True,Never,11.2,79,8.4,12.2,False,5396,54.4,0
+1258,41,Female,114,65,172,55,96,53,116,4.7,26.3,87,191,Atypical Angina,False,0.2,False,Never,0.9,106,6.3,22.5,False,5813,34.0,0
+1259,59,Female,123,76,179,67,107,95,96,5.1,21.8,92,141,Non-Anginal Pain,True,0.6,False,Never,5.3,138,8.5,74.6,False,6684,67.9,0
+1260,57,Male,123,75,148,65,52,168,103,5.3,22.6,77,183,Asymptomatic,False,0.9,False,Never,7.8,231,8.2,39.6,False,7643,92.9,0
+1261,44,Female,135,89,122,65,46,96,107,5.6,20.9,81,170,Asymptomatic,False,0.5,False,Never,4.1,87,6.1,53.0,False,3709,63.0,0
+1262,35,Female,131,87,156,47,69,140,102,5.3,23.3,77,187,Non-Anginal Pain,False,0.7,False,Never,0.9,131,7.0,41.4,False,2535,59.0,0
+1263,63,Female,125,81,192,64,108,136,125,5.5,19.4,64,179,Non-Anginal Pain,False,0.6,False,Never,1.8,163,7.3,35.0,False,7284,61.3,0
+1264,62,Male,147,92,168,56,86,123,157,6.7,24.8,67,151,Atypical Angina,False,0.4,False,Never,2.9,144,6.1,60.7,False,1959,48.6,0
+1265,60,Female,125,69,182,62,95,118,124,6.1,23.1,77,178,Non-Anginal Pain,False,0.3,False,Former,13.5,147,5.5,21.5,False,7446,47.9,0
+1266,47,Male,125,76,195,40,136,117,101,5.5,21.8,75,172,Asymptomatic,True,1.9,False,Former,11.9,197,7.4,52.2,True,8872,53.2,0
+1267,69,Female,141,99,206,63,124,150,172,7.1,34.0,95,161,Non-Anginal Pain,False,0.5,False,Former,20.8,24,7.0,68.9,False,4530,71.9,0
+1268,90,Female,145,88,175,52,95,154,145,6.3,29.6,87,120,Non-Anginal Pain,False,0.9,True,Never,0.6,116,8.7,42.8,True,6154,63.0,1
+1269,55,Male,147,90,209,62,99,193,129,5.5,25.6,77,166,Asymptomatic,False,0.6,False,Former,2.5,195,7.8,33.1,True,6218,90.0,0
+1270,60,Female,138,77,230,64,141,109,123,5.9,27.1,77,163,Asymptomatic,False,1.7,True,Current,3.0,156,6.8,49.6,False,5470,56.1,1
+1271,43,Female,110,70,172,44,89,174,136,6.6,20.8,72,172,Non-Anginal Pain,True,0.1,False,Never,0.5,99,6.2,27.2,False,5731,48.1,0
+1272,43,Female,143,98,104,55,37,74,123,5.8,31.1,81,146,Typical Angina,True,1.2,True,Never,1.6,26,7.2,71.9,False,4045,70.4,1
+1273,76,Male,132,74,252,33,200,142,120,6.2,29.6,83,126,Typical Angina,True,0.2,False,Current,2.4,123,7.0,16.0,False,4830,38.2,1
+1274,82,Male,149,95,120,36,68,67,145,5.8,25.6,85,115,Atypical Angina,True,0.5,True,Never,2.5,10,8.5,62.3,False,500,52.1,1
+1275,50,Female,123,81,165,39,63,252,129,5.8,29.4,84,185,Non-Anginal Pain,False,0.1,False,Never,7.5,136,7.4,56.1,True,2055,55.5,0
+1276,45,Female,139,85,219,75,102,179,75,4.7,22.8,77,185,Asymptomatic,False,0.7,False,Never,0.6,198,6.6,12.5,True,11243,55.4,0
+1277,41,Female,132,76,180,39,105,142,127,5.9,30.6,98,172,Atypical Angina,False,3.9,False,Current,0.1,16,7.3,59.3,False,5600,52.8,1
+1278,45,Male,137,83,196,53,97,209,119,5.6,23.7,81,173,Asymptomatic,False,0.9,False,Former,9.8,151,5.9,53.3,False,7488,45.7,1
+1279,54,Male,148,99,191,41,105,199,137,6.4,24.5,84,155,Asymptomatic,False,0.5,False,Current,2.5,165,4.3,71.0,False,4095,69.5,1
+1280,37,Male,122,82,191,61,94,103,126,5.9,20.9,75,175,Atypical Angina,False,2.0,False,Former,13.5,20,9.4,31.0,False,2959,71.4,1
+1281,44,Female,135,91,206,62,123,104,99,5.4,18.4,96,189,Atypical Angina,False,0.1,False,Never,2.6,141,6.8,54.5,True,8950,61.7,0
+1282,65,Male,111,63,196,39,130,171,124,5.8,24.0,79,162,Typical Angina,False,1.4,False,Never,4.3,91,7.1,62.1,False,6429,56.6,0
+1283,51,Female,140,89,174,41,92,207,204,8.1,27.1,72,144,Atypical Angina,True,1.4,False,Former,2.0,168,8.7,25.7,False,5644,43.7,1
+1284,43,Male,126,70,180,22,134,145,145,6.9,28.4,100,163,Asymptomatic,False,0.8,False,Current,14.8,107,6.2,64.4,False,8998,33.1,1
+1285,38,Male,118,58,182,44,119,157,115,6.3,22.5,67,168,Asymptomatic,False,0.5,False,Never,3.8,78,6.7,5.6,False,3465,55.9,0
+1286,67,Female,134,87,209,65,97,241,99,5.3,22.3,68,154,Asymptomatic,False,0.5,False,Never,6.2,175,7.8,18.8,True,6676,53.2,0
+1287,39,Male,115,64,251,68,157,185,119,5.6,27.9,81,197,Non-Anginal Pain,False,0.5,True,Former,5.8,142,6.3,69.0,False,5832,72.6,0
+1288,51,Male,120,77,171,41,89,122,127,6.1,20.8,92,145,Atypical Angina,False,2.3,True,Current,2.4,12,8.1,48.0,False,4701,38.1,1
+1289,66,Male,126,86,198,54,102,199,98,5.4,30.3,72,157,Non-Anginal Pain,False,0.4,False,Current,1.7,185,7.6,24.7,True,8712,33.2,0
+1290,60,Male,134,81,138,52,78,50,127,5.7,27.2,86,142,Asymptomatic,True,1.6,False,Current,3.8,130,7.6,17.5,True,8962,64.1,1
+1291,57,Female,115,78,240,68,136,121,82,4.5,25.1,73,147,Asymptomatic,True,1.2,True,Never,4.5,155,7.2,52.5,False,5054,42.1,1
+1292,57,Female,118,78,192,58,84,218,153,7.1,24.7,84,166,Asymptomatic,False,0.3,False,Never,11.7,111,7.1,48.0,False,4434,77.8,0
+1293,41,Female,134,89,192,53,97,259,139,6.0,27.9,74,191,Atypical Angina,False,0.7,False,Never,3.0,50,7.1,29.7,True,6929,39.9,0
+1294,44,Male,117,75,247,91,121,208,95,5.6,23.8,81,191,Non-Anginal Pain,False,0.1,False,Never,3.4,154,6.5,15.5,False,7026,76.0,0
+1295,47,Female,111,77,186,39,124,103,134,6.3,27.0,88,176,Non-Anginal Pain,False,1.8,True,Current,4.6,251,7.6,43.0,True,8029,30.7,0
+1296,18,Female,121,65,243,58,157,149,118,5.9,34.8,91,199,Typical Angina,False,1.8,False,Never,1.0,154,6.7,70.2,True,8152,69.3,0
+1297,48,Female,125,78,165,76,59,160,155,6.8,21.3,85,163,Non-Anginal Pain,False,1.3,False,Never,5.2,179,5.5,21.7,False,7777,82.7,0
+1298,52,Female,132,86,225,51,131,240,125,6.4,28.4,87,179,Asymptomatic,False,1.8,False,Current,0.2,182,6.7,71.1,True,6433,60.7,0
+1299,52,Male,127,85,170,54,88,116,98,4.8,24.1,76,177,Asymptomatic,False,0.1,True,Never,4.9,111,7.5,33.2,False,2622,58.1,0
+1300,51,Female,118,85,198,74,113,69,84,4.9,23.8,85,158,Asymptomatic,False,1.2,False,Former,2.0,267,7.7,29.0,True,7146,70.9,0
+1301,56,Male,135,85,231,67,131,147,116,5.6,26.5,91,172,Atypical Angina,False,0.6,False,Never,2.0,75,6.0,38.3,True,5936,61.5,0
+1302,56,Female,128,87,191,49,120,175,99,5.2,22.6,92,154,Atypical Angina,True,0.2,False,Former,2.0,110,6.2,60.2,False,4383,63.7,1
+1303,74,Female,141,80,230,53,142,171,98,5.6,23.0,89,141,Asymptomatic,False,0.1,False,Never,5.2,109,6.2,24.8,True,9981,49.8,0
+1304,55,Female,120,68,185,68,101,117,106,5.3,27.7,82,159,Asymptomatic,False,1.0,True,Current,6.4,248,7.2,23.1,True,4548,50.5,0
+1305,64,Female,132,83,226,61,125,151,155,6.5,33.7,68,167,Non-Anginal Pain,False,1.7,False,Never,0.4,160,7.6,32.9,False,6142,63.1,0
+1306,45,Male,125,87,166,54,63,231,113,5.4,18.7,93,170,Asymptomatic,False,0.5,False,Former,14.1,63,8.0,30.2,False,9131,70.5,0
+1307,57,Female,127,70,207,40,132,114,142,7.0,19.6,87,138,Asymptomatic,False,3.5,False,Current,11.7,60,7.8,61.8,False,5421,35.4,1
+1308,57,Male,130,78,215,38,145,191,119,6.1,23.8,90,176,Asymptomatic,False,0.5,False,Never,6.3,69,5.8,44.4,False,4777,58.3,0
+1309,50,Male,125,78,233,77,136,127,66,4.4,25.6,77,160,Non-Anginal Pain,False,0.7,True,Never,10.7,261,7.6,36.7,True,7071,51.1,0
+1310,31,Female,134,76,224,53,125,213,137,5.5,32.4,87,192,Asymptomatic,False,0.3,False,Never,5.2,146,7.0,42.9,False,5817,58.6,0
+1311,36,Male,122,78,185,56,88,214,163,6.9,34.7,97,203,Asymptomatic,True,4.7,False,Never,4.7,0,6.7,34.1,False,4145,51.7,1
+1312,59,Female,152,82,268,78,154,222,101,5.5,26.3,96,184,Atypical Angina,False,0.2,False,Former,3.6,3,6.4,42.1,True,4574,55.0,0
+1313,52,Female,120,77,221,49,142,105,141,6.1,27.7,71,172,Asymptomatic,False,0.6,True,Never,1.5,70,7.2,59.7,True,6199,38.4,0
+1314,50,Male,141,94,210,37,135,196,137,6.3,27.9,92,143,Asymptomatic,False,1.0,False,Current,4.0,167,8.1,58.0,True,8661,58.8,1
+1315,44,Male,124,76,213,58,123,181,104,5.2,26.0,86,173,Asymptomatic,False,0.6,False,Never,5.0,72,7.0,56.8,False,5717,58.1,0
+1316,54,Male,127,88,207,64,123,157,115,5.4,28.6,70,140,Typical Angina,False,0.7,False,Never,7.0,156,6.7,32.2,False,6610,62.0,1
+1317,61,Male,123,80,146,55,62,171,84,4.7,15.0,85,175,Atypical Angina,False,0.7,False,Never,19.8,127,6.8,51.4,True,5257,93.3,0
+1318,77,Female,130,90,187,62,109,123,135,5.7,29.5,85,138,Asymptomatic,True,0.7,False,Current,4.8,110,7.5,50.6,False,6199,54.2,1
+1319,53,Male,133,67,187,42,121,163,121,5.9,26.6,79,162,Typical Angina,False,0.1,True,Never,8.1,84,7.9,54.1,False,3319,20.0,0
+1320,51,Female,129,86,187,55,98,115,107,5.4,31.6,82,169,Non-Anginal Pain,False,1.9,False,Never,3.2,221,9.3,30.3,False,6315,45.6,0
+1321,57,Male,144,90,204,60,111,181,105,5.2,23.3,99,170,Asymptomatic,False,0.2,False,Current,10.1,0,3.8,44.4,False,3444,54.5,0
+1322,68,Male,132,90,165,52,78,199,135,6.8,29.6,84,158,Non-Anginal Pain,False,0.1,False,Former,4.4,177,7.1,50.9,True,10573,65.3,0
+1323,83,Female,140,86,218,48,131,167,121,6.0,20.2,85,117,Typical Angina,True,6.5,True,Former,29.6,208,7.3,21.7,True,4975,46.5,1
+1324,61,Male,121,75,162,56,95,88,124,5.6,26.4,87,163,Asymptomatic,False,1.4,False,Never,1.5,184,7.7,55.7,False,7602,64.7,0
+1325,35,Male,120,88,206,68,101,183,118,5.6,22.8,83,183,Asymptomatic,False,1.5,False,Former,5.5,232,6.4,71.8,True,6663,65.6,0
+1326,54,Male,133,80,164,46,93,173,121,5.5,25.0,78,157,Asymptomatic,False,1.1,False,Former,7.1,135,5.8,77.5,False,7821,33.2,1
+1327,39,Female,129,82,156,49,92,118,138,5.9,25.2,99,165,Typical Angina,False,0.9,False,Never,3.5,121,8.5,37.4,False,4763,49.6,1
+1328,41,Male,139,95,143,49,64,177,120,5.4,25.5,84,177,Asymptomatic,False,0.6,False,Never,8.8,255,5.8,56.7,True,7016,62.4,0
+1329,77,Female,152,74,239,50,138,189,171,7.1,29.3,80,130,Asymptomatic,False,1.9,False,Never,7.7,195,7.9,50.2,False,7266,27.8,1
+1330,49,Male,135,76,214,47,133,130,109,5.1,22.3,81,166,Asymptomatic,False,0.1,False,Never,4.3,172,5.8,61.0,False,8840,48.9,0
+1331,44,Male,132,64,217,47,137,189,142,5.7,25.8,74,178,Asymptomatic,False,2.8,False,Never,4.2,155,7.1,28.7,False,9273,70.7,0
+1332,71,Female,134,74,208,55,126,164,140,5.8,27.0,74,169,Asymptomatic,False,0.3,False,Never,1.8,99,7.9,41.1,False,4203,58.5,0
+1333,54,Female,133,86,124,40,60,133,138,6.1,24.5,74,167,Non-Anginal Pain,False,0.3,False,Former,2.8,114,6.9,54.2,False,591,64.0,1
+1334,39,Female,146,95,169,65,69,191,88,5.7,27.7,83,161,Atypical Angina,False,3.6,True,Former,16.1,161,6.8,48.7,False,6023,54.6,1
+1335,54,Male,137,87,179,59,76,156,129,6.1,27.7,89,171,Atypical Angina,False,0.1,False,Never,3.9,132,6.5,36.9,False,3648,60.5,0
+1336,35,Male,139,83,186,51,92,181,119,5.2,28.7,87,201,Asymptomatic,False,0.5,False,Never,3.7,92,7.4,99.0,False,6664,48.9,0
+1337,42,Male,103,60,216,49,136,196,97,5.1,25.6,79,190,Asymptomatic,True,0.2,False,Current,8.5,210,6.8,44.2,True,7705,61.7,0
+1338,56,Male,136,88,234,55,149,132,127,6.3,20.6,80,145,Non-Anginal Pain,False,0.8,False,Current,2.8,73,7.1,54.7,True,5468,57.3,1
+1339,21,Female,102,58,182,42,136,63,131,5.8,23.0,89,194,Asymptomatic,False,1.3,False,Current,1.9,142,6.0,49.8,False,4038,65.4,0
+1340,63,Male,131,94,172,61,83,104,144,6.4,21.3,91,171,Asymptomatic,False,0.6,False,Never,3.1,139,9.0,69.5,True,7609,83.1,0
+1341,57,Female,139,93,239,52,160,125,104,5.2,30.7,88,142,Asymptomatic,False,0.6,False,Never,4.2,139,6.5,44.3,False,4539,63.0,1
+1342,65,Male,139,82,210,59,124,147,118,6.2,30.9,81,140,Asymptomatic,True,2.0,False,Never,9.7,190,7.0,53.5,True,7570,62.2,1
+1343,49,Male,110,76,177,43,112,114,125,5.2,27.1,79,180,Typical Angina,False,0.7,False,Never,3.7,29,6.7,41.4,False,5520,53.1,0
+1344,59,Male,149,98,195,72,94,197,157,6.8,28.6,71,184,Atypical Angina,False,0.3,True,Never,2.5,267,6.7,52.4,True,7621,77.9,0
+1345,41,Male,139,87,237,61,140,134,114,6.1,29.4,93,202,Asymptomatic,True,0.0,False,Never,8.0,141,6.3,70.0,False,5210,66.7,0
+1346,42,Female,136,93,149,66,63,152,141,6.6,27.4,87,191,Asymptomatic,False,2.3,False,Former,9.4,79,5.0,62.1,False,7135,61.1,0
+1347,55,Male,135,78,212,52,143,162,128,5.9,33.5,78,146,Asymptomatic,False,4.8,False,Never,3.3,139,8.8,45.2,False,6477,72.4,1
+1348,54,Male,125,82,141,50,66,96,124,6.0,25.8,101,177,Atypical Angina,False,0.6,False,Never,3.5,176,7.0,67.7,True,9978,45.7,0
+1349,54,Female,95,55,192,61,104,110,130,5.7,29.6,99,172,Asymptomatic,False,1.7,False,Never,2.9,172,8.8,30.6,False,6042,66.8,0
+1350,71,Female,132,82,187,43,106,182,146,6.3,30.5,89,153,Non-Anginal Pain,False,0.2,False,Former,8.8,112,6.9,53.4,False,500,69.9,0
+1351,50,Female,141,90,140,67,54,112,159,6.3,26.1,84,153,Typical Angina,True,0.4,False,Never,5.6,174,7.2,60.4,True,6251,50.8,1
+1352,60,Male,140,93,206,41,121,204,124,6.4,33.3,78,153,Non-Anginal Pain,False,2.2,True,Current,3.5,173,7.7,40.9,True,5104,53.9,1
+1353,58,Male,123,86,190,55,97,177,113,5.9,24.3,90,176,Asymptomatic,False,0.2,False,Never,11.6,181,7.8,87.9,True,7166,81.7,0
+1354,56,Female,100,59,207,71,121,74,116,6.0,27.9,77,170,Asymptomatic,False,0.2,False,Former,3.8,182,9.4,37.8,False,5599,64.8,0
+1355,59,Male,145,87,196,75,90,130,125,6.2,26.3,83,168,Atypical Angina,False,0.5,False,Never,4.3,261,5.8,51.6,True,9399,60.6,0
+1356,31,Male,106,70,180,79,85,78,103,4.8,16.4,69,210,Non-Anginal Pain,False,0.1,False,Former,8.6,202,7.7,28.3,True,8627,90.5,0
+1357,47,Male,139,95,181,33,129,132,129,5.9,30.9,95,158,Non-Anginal Pain,True,3.1,True,Never,7.5,141,4.8,50.0,True,7232,29.6,1
+1358,68,Female,135,93,192,40,118,195,134,6.2,22.9,93,136,Atypical Angina,True,5.5,False,Current,24.3,187,7.9,65.8,True,9132,65.8,1
+1359,50,Male,138,91,281,64,171,242,141,6.8,30.8,97,153,Non-Anginal Pain,True,0.9,False,Never,23.4,93,7.2,31.8,False,3103,78.3,1
+1360,63,Male,138,76,210,65,111,213,126,6.2,24.7,92,149,Non-Anginal Pain,True,1.0,True,Former,5.9,188,6.0,55.3,False,7009,60.5,1
+1361,60,Female,129,82,232,44,148,183,105,5.3,31.9,98,143,Atypical Angina,False,1.2,False,Current,5.8,76,7.1,36.6,False,4550,45.5,1
+1362,18,Male,116,72,151,38,84,143,116,6.2,19.5,84,210,Atypical Angina,False,0.7,False,Former,3.6,132,9.4,34.2,True,6866,65.5,0
+1363,37,Male,130,66,143,47,72,187,124,6.1,21.0,74,179,Atypical Angina,False,0.5,False,Current,21.7,0,6.4,61.4,False,4519,48.7,0
+1364,45,Female,122,75,187,44,119,177,97,5.9,24.7,66,184,Non-Anginal Pain,False,0.5,False,Current,7.2,169,7.9,51.6,True,7204,83.0,0
+1365,45,Female,99,61,243,54,152,189,98,5.7,22.6,81,178,Asymptomatic,False,0.7,False,Current,1.0,63,6.7,41.7,True,6821,42.0,0
+1366,48,Male,127,84,194,49,109,183,159,7.2,29.7,84,136,Atypical Angina,False,1.6,True,Former,16.1,90,7.7,45.1,False,2902,65.9,1
+1367,48,Female,124,81,150,53,58,157,102,4.9,26.2,87,167,Asymptomatic,False,0.7,True,Never,0.1,150,7.5,38.6,True,7784,49.4,0
+1368,43,Male,95,59,242,70,148,90,78,4.5,19.4,82,190,Atypical Angina,False,1.0,False,Never,3.7,166,5.6,27.0,True,7065,77.3,0
+1369,45,Male,137,88,209,64,119,130,154,7.7,30.4,86,164,Atypical Angina,False,0.5,True,Never,7.5,84,6.3,35.8,False,5517,61.2,0
+1370,28,Female,110,79,136,56,66,35,109,5.7,26.5,84,186,Atypical Angina,False,0.4,False,Former,2.0,95,5.2,73.4,False,5305,60.8,0
+1371,79,Male,140,85,167,21,97,200,135,5.6,28.7,79,124,Atypical Angina,False,0.4,True,Never,16.8,89,7.2,63.1,True,4407,68.2,1
+1372,72,Female,131,84,208,56,124,133,91,4.7,25.4,93,164,Non-Anginal Pain,False,0.6,False,Current,1.6,172,6.0,49.3,True,4937,58.5,0
+1373,65,Female,136,74,238,57,142,169,128,6.1,31.3,78,125,Asymptomatic,False,2.0,False,Former,13.9,264,7.2,76.8,False,5783,74.0,1
+1374,53,Male,111,64,134,41,72,119,103,5.4,25.6,73,160,Non-Anginal Pain,False,0.6,False,Never,6.3,123,6.7,10.0,True,6033,100.0,0
+1375,42,Male,125,76,226,44,128,186,124,5.8,22.7,68,182,Asymptomatic,False,0.4,False,Never,3.5,151,5.4,32.2,False,9570,57.8,0
+1376,85,Female,148,93,175,40,93,167,126,6.2,33.1,82,112,Asymptomatic,False,1.7,False,Former,4.9,17,6.3,37.3,False,1998,83.1,1
+1377,41,Female,115,66,175,45,108,151,156,6.6,23.9,80,163,Typical Angina,False,0.3,False,Former,24.3,103,9.0,46.8,False,8937,51.3,0
+1378,72,Female,123,68,224,43,124,292,178,6.8,20.9,89,161,Atypical Angina,False,0.2,False,Current,0.4,220,6.4,39.6,True,7913,34.7,0
+1379,58,Female,139,83,232,58,110,211,114,5.6,28.1,76,171,Non-Anginal Pain,False,2.1,True,Never,2.3,74,6.5,36.5,True,8477,55.4,0
+1380,42,Female,123,63,204,36,140,118,105,5.9,24.6,83,165,Non-Anginal Pain,True,0.3,False,Current,13.7,142,7.7,28.9,True,4389,54.9,1
+1381,43,Male,131,80,186,34,115,146,118,5.1,20.6,88,140,Asymptomatic,True,0.5,False,Current,2.8,106,7.8,23.4,False,7588,44.3,1
+1382,48,Male,136,77,181,71,88,193,129,5.3,29.0,66,158,Asymptomatic,False,0.2,False,Former,4.4,252,5.2,52.0,True,9694,75.5,0
+1383,46,Male,125,80,206,72,78,286,134,6.3,26.3,83,203,Non-Anginal Pain,False,0.8,True,Never,34.2,217,8.5,33.0,True,8990,79.5,0
+1384,35,Female,109,75,186,78,87,53,141,6.3,20.4,83,189,Asymptomatic,False,1.6,False,Former,0.3,173,7.7,39.4,True,9753,80.2,0
+1385,59,Male,121,77,265,54,167,198,119,5.4,24.8,81,158,Asymptomatic,False,1.0,True,Never,6.5,184,8.5,29.7,False,5819,46.8,0
+1386,42,Female,164,100,260,53,147,213,141,6.4,29.3,79,171,Asymptomatic,False,0.8,False,Former,21.7,97,8.1,62.2,False,4248,71.8,1
+1387,64,Male,124,69,205,72,138,35,124,5.7,19.1,80,154,Typical Angina,False,0.1,True,Never,2.3,167,7.0,70.5,False,4357,56.0,0
+1388,51,Female,133,78,181,56,98,165,106,5.3,26.1,74,170,Non-Anginal Pain,True,2.6,False,Never,5.4,114,4.9,50.6,True,7398,71.6,1
+1389,55,Male,116,66,136,41,66,151,122,5.9,16.3,79,167,Asymptomatic,False,0.0,True,Current,4.7,150,7.2,29.6,True,4029,51.4,0
+1390,55,Female,132,85,191,43,101,229,120,6.2,28.4,101,190,Non-Anginal Pain,True,1.6,False,Never,11.0,179,8.2,17.0,True,7301,70.6,0
+1391,49,Female,124,67,155,42,107,115,107,5.7,25.3,83,182,Atypical Angina,False,0.1,False,Never,0.4,123,7.3,55.7,True,10222,62.5,0
+1392,52,Male,145,81,185,48,108,198,114,5.8,29.4,82,170,Typical Angina,False,1.2,False,Current,2.3,208,5.0,52.5,True,7007,38.6,0
+1393,56,Male,112,61,168,51,88,121,122,5.9,19.3,79,166,Asymptomatic,False,1.9,True,Never,7.8,124,7.4,71.2,False,2988,58.2,0
+1394,84,Male,118,77,174,28,99,196,131,6.0,26.0,82,125,Non-Anginal Pain,False,0.7,False,Current,4.9,97,6.2,28.2,False,5739,65.0,1
+1395,37,Female,132,91,162,69,59,147,107,5.2,24.5,82,187,Atypical Angina,False,1.2,False,Never,10.3,93,4.9,50.3,False,6951,69.0,0
+1396,44,Male,124,70,159,36,103,97,78,4.5,21.9,71,183,Asymptomatic,False,0.4,True,Never,1.5,54,7.9,48.1,False,3658,71.9,0
+1397,49,Male,112,60,230,49,138,231,77,4.4,28.9,78,175,Asymptomatic,False,0.6,False,Never,2.1,214,8.0,48.9,False,5692,61.6,0
+1398,37,Female,106,84,189,68,92,118,131,5.9,24.3,73,196,Asymptomatic,False,1.9,False,Never,3.6,248,7.9,26.9,False,4091,66.9,0
+1399,36,Female,111,63,211,69,107,150,108,5.7,19.4,85,181,Asymptomatic,False,1.7,False,Current,0.3,150,4.6,77.6,False,7226,49.8,0
+1400,33,Female,109,80,176,50,109,141,109,5.4,28.4,86,195,Asymptomatic,False,0.3,True,Never,1.6,173,7.2,73.4,True,7205,62.0,0
+1401,53,Female,113,72,201,75,80,153,102,5.3,20.9,85,160,Atypical Angina,False,0.9,True,Never,0.3,152,8.8,25.6,False,4849,81.3,0
+1402,46,Female,141,102,206,65,114,142,124,5.8,22.5,75,196,Non-Anginal Pain,False,1.8,False,Former,3.2,180,8.0,59.7,True,10279,71.6,0
+1403,56,Male,114,77,163,58,84,134,156,6.8,24.9,84,148,Asymptomatic,False,1.9,False,Never,8.0,109,8.1,50.3,False,643,56.3,0
+1404,35,Female,120,75,142,37,73,194,116,5.4,27.6,90,182,Non-Anginal Pain,True,0.7,False,Current,7.5,158,5.9,38.1,True,6958,75.7,0
+1405,42,Female,116,63,176,30,115,148,138,6.0,27.1,70,178,Asymptomatic,False,0.5,False,Never,3.3,106,7.4,28.3,False,4026,51.5,0
+1406,65,Male,137,78,156,53,77,119,148,7.0,25.4,88,150,Typical Angina,True,0.1,False,Former,6.5,135,7.3,52.5,True,5203,78.5,1
+1407,63,Female,142,97,227,46,153,97,179,7.5,32.2,79,127,Non-Anginal Pain,False,2.3,False,Former,3.1,71,7.0,58.4,False,3635,38.2,1
+1408,33,Female,115,69,159,75,68,164,101,5.4,25.9,80,184,Non-Anginal Pain,False,1.0,False,Never,1.4,164,5.5,38.2,False,8301,70.4,0
+1409,64,Male,147,100,184,56,93,75,107,5.3,22.7,84,171,Asymptomatic,False,0.2,True,Never,2.3,114,8.4,33.0,False,3990,52.3,0
+1410,46,Female,114,68,194,59,100,211,124,6.5,28.9,76,183,Non-Anginal Pain,False,0.4,True,Former,3.6,96,5.7,46.5,False,4513,62.6,0
+1411,39,Female,125,74,216,50,113,272,114,5.5,19.9,85,167,Atypical Angina,False,0.6,True,Former,8.8,84,7.3,42.4,False,6475,90.0,0
+1412,63,Female,151,103,170,57,71,172,113,6.2,24.3,80,151,Asymptomatic,False,1.4,False,Never,2.5,108,7.4,35.2,False,6265,75.8,0
+1413,65,Male,123,79,172,38,97,168,121,5.6,26.7,92,126,Typical Angina,True,0.7,False,Former,5.3,70,8.6,28.5,True,8170,37.2,1
+1414,21,Male,111,76,166,54,74,212,157,6.1,25.6,78,207,Non-Anginal Pain,False,0.6,False,Never,11.0,43,6.7,66.4,False,7917,16.7,0
+1415,64,Male,128,89,157,39,104,105,88,4.9,20.5,92,157,Non-Anginal Pain,False,0.6,False,Current,7.3,209,6.4,41.2,True,7660,55.5,0
+1416,47,Male,134,91,265,57,169,229,96,5.7,32.2,81,151,Asymptomatic,True,0.7,False,Current,11.6,223,8.1,58.1,True,9922,53.1,1
+1417,46,Male,132,83,187,55,97,194,84,4.8,27.9,82,167,Asymptomatic,False,1.6,False,Never,12.1,28,8.0,22.3,False,5196,51.5,0
+1418,48,Female,145,83,171,53,79,184,149,6.7,29.9,66,177,Non-Anginal Pain,False,0.2,False,Former,3.8,184,9.5,56.7,False,5443,61.2,0
+1419,67,Male,140,77,173,45,109,87,147,7.2,21.6,88,147,Asymptomatic,True,0.4,False,Former,4.9,139,7.5,79.7,False,7575,77.5,1
+1420,69,Male,122,78,175,54,87,181,115,6.1,15.6,81,148,Asymptomatic,False,0.3,False,Former,29.1,51,6.8,48.8,False,2498,47.0,0
+1421,57,Female,122,86,156,44,93,124,133,6.0,24.8,90,159,Non-Anginal Pain,False,0.9,False,Current,3.0,145,7.3,82.7,False,5511,69.2,0
+1422,63,Female,140,88,185,55,82,222,148,6.4,24.0,80,148,Atypical Angina,False,1.5,False,Never,17.3,82,5.8,41.0,False,2065,68.2,0
+1423,80,Male,131,80,189,46,104,249,163,6.9,30.1,85,133,Asymptomatic,False,0.5,True,Never,8.7,60,7.9,43.7,True,6582,61.4,1
+1424,52,Female,130,91,148,48,66,148,98,4.5,30.3,83,168,Typical Angina,False,0.6,False,Never,6.3,171,7.6,35.1,True,6976,65.1,0
+1425,39,Male,103,65,173,51,99,98,101,5.7,27.6,86,167,Asymptomatic,True,0.8,True,Never,2.0,135,7.4,45.3,True,9994,35.7,1
+1426,59,Male,122,70,212,66,119,106,123,5.6,20.4,81,194,Non-Anginal Pain,False,1.4,True,Current,1.9,196,7.5,49.2,True,6584,81.2,0
+1427,62,Female,146,99,186,39,109,153,113,6.4,31.4,92,158,Atypical Angina,True,0.7,False,Current,1.6,103,5.8,58.7,False,3204,26.4,1
+1428,51,Female,108,62,201,52,121,150,118,5.3,23.6,87,174,Asymptomatic,False,0.9,False,Current,5.9,41,6.8,38.5,False,3731,35.1,0
+1429,50,Female,132,90,167,59,92,103,103,5.5,27.7,74,202,Non-Anginal Pain,True,1.0,False,Never,1.5,182,8.0,70.9,False,4928,50.7,0
+1430,80,Male,134,80,209,51,133,149,161,7.0,28.3,79,108,Typical Angina,False,0.3,False,Never,7.9,57,7.4,35.4,False,1220,54.8,1
+1431,49,Female,141,82,237,60,142,205,133,6.1,22.6,83,185,Non-Anginal Pain,True,1.1,False,Never,29.8,157,6.8,73.0,True,8154,68.4,0
+1432,41,Male,131,90,226,79,113,152,109,5.5,20.9,84,154,Non-Anginal Pain,False,0.1,False,Never,17.2,119,6.4,62.8,False,4366,62.9,0
+1433,18,Female,124,70,182,55,72,216,84,4.0,22.8,67,210,Atypical Angina,False,1.1,False,Current,20.9,215,7.1,33.3,True,8368,54.7,0
+1434,63,Male,123,70,141,33,89,67,83,5.0,25.4,76,160,Asymptomatic,False,0.3,False,Current,4.0,181,6.9,53.8,False,5635,78.2,0
+1435,69,Male,173,126,212,40,135,195,145,6.4,36.8,97,131,Asymptomatic,True,1.5,True,Never,6.0,66,7.4,45.3,True,4868,67.2,1
+1436,37,Male,128,80,155,32,98,172,104,5.3,36.2,77,169,Asymptomatic,False,0.2,False,Former,13.9,160,6.0,47.8,False,5578,71.3,0
+1437,60,Male,141,95,153,54,74,117,99,5.2,31.9,87,159,Non-Anginal Pain,True,2.6,False,Former,7.1,101,6.4,61.0,False,5155,35.0,1
+1438,48,Female,111,75,202,76,106,116,73,4.6,21.4,64,170,Non-Anginal Pain,False,0.1,False,Former,7.2,215,7.6,59.2,True,8872,56.4,0
+1439,54,Male,108,72,158,47,89,132,87,4.8,23.9,89,179,Asymptomatic,False,1.1,False,Never,2.2,75,6.0,62.1,False,4507,64.6,0
+1440,45,Male,126,77,169,58,96,112,105,5.5,24.0,85,189,Asymptomatic,False,1.4,False,Current,1.7,57,7.5,53.8,False,6890,43.9,0
+1441,53,Female,133,84,225,80,102,196,133,6.4,24.3,87,133,Non-Anginal Pain,True,0.1,True,Never,0.7,160,7.2,49.7,True,5424,61.1,1
+1442,64,Female,134,82,231,61,146,176,124,5.9,30.9,79,169,Non-Anginal Pain,False,0.7,False,Never,1.5,153,8.4,59.5,True,7037,70.9,0
+1443,46,Male,122,83,134,37,72,104,70,4.0,21.1,75,191,Atypical Angina,False,2.3,False,Former,9.7,293,7.8,38.0,True,8794,71.6,0
+1444,44,Male,137,85,128,50,35,215,107,6.1,31.3,84,147,Typical Angina,True,1.2,False,Never,3.5,63,8.1,62.1,False,3793,50.1,1
+1445,40,Male,120,77,162,20,94,246,124,6.0,25.9,83,148,Atypical Angina,False,1.2,False,Current,5.1,0,7.6,33.2,False,5903,32.2,1
+1446,67,Male,128,76,236,45,140,241,144,6.7,23.7,74,163,Asymptomatic,False,0.3,False,Former,4.5,59,6.9,26.1,True,7066,67.7,1
+1447,42,Female,99,69,227,79,97,246,90,5.5,20.6,85,186,Asymptomatic,False,1.3,True,Never,3.8,239,8.7,56.5,True,10427,65.4,0
+1448,61,Male,124,76,119,39,46,187,147,6.5,25.0,71,172,Non-Anginal Pain,True,0.2,True,Never,17.1,95,6.8,26.7,True,5794,63.2,0
+1449,37,Male,122,65,140,51,64,194,189,7.5,35.2,77,170,Atypical Angina,False,1.4,False,Former,11.6,57,7.6,64.2,True,5657,62.7,0
+1450,25,Male,111,62,168,55,84,174,109,5.5,26.0,83,205,Atypical Angina,False,0.1,True,Current,12.4,134,7.1,61.5,False,6151,54.2,0
+1451,46,Female,110,71,220,52,132,208,109,5.2,21.7,89,172,Asymptomatic,False,1.0,False,Current,1.1,223,6.6,58.5,True,4808,45.8,0
+1452,56,Male,132,85,281,67,178,131,134,5.7,28.2,73,181,Typical Angina,False,0.5,False,Former,3.0,277,7.0,35.7,True,7019,45.2,0
+1453,67,Male,159,96,202,80,96,110,127,6.1,18.3,89,188,Atypical Angina,False,2.4,False,Never,6.8,201,7.6,55.0,True,10121,65.5,0
+1454,63,Male,135,89,235,50,159,57,78,4.9,25.5,89,143,Asymptomatic,False,1.8,True,Current,3.1,99,8.1,77.6,False,4125,42.8,1
+1455,57,Female,154,92,159,51,72,157,125,5.9,26.8,74,193,Atypical Angina,False,0.7,False,Never,2.6,222,8.0,52.1,True,9711,70.6,0
+1456,21,Male,119,78,169,48,81,169,95,5.6,25.5,67,193,Atypical Angina,False,1.2,False,Never,4.8,255,6.4,25.7,True,6934,71.4,0
+1457,59,Female,121,77,173,66,81,192,69,4.0,19.7,77,160,Non-Anginal Pain,False,0.1,False,Never,3.3,207,7.2,41.9,True,9653,65.8,0
+1458,34,Male,98,52,200,51,134,99,100,4.9,24.0,70,202,Asymptomatic,False,0.5,False,Former,5.8,285,6.0,6.3,False,7551,69.8,0
+1459,44,Female,126,87,234,52,182,72,121,5.4,24.0,82,176,Typical Angina,False,1.1,False,Never,5.6,274,6.6,42.0,True,11430,50.6,0
+1460,76,Female,128,77,196,63,105,155,113,5.3,15.0,73,153,Typical Angina,False,0.3,False,Never,4.0,190,6.6,47.6,True,7229,65.5,0
+1461,66,Female,145,91,231,44,149,160,151,6.6,29.3,69,152,Non-Anginal Pain,False,2.1,False,Former,6.9,31,8.1,55.7,False,7696,62.8,1
+1462,39,Female,117,78,191,54,102,104,134,5.8,24.5,85,167,Non-Anginal Pain,False,0.2,False,Former,3.3,53,7.1,59.7,False,7598,62.2,1
+1463,48,Female,118,77,145,39,98,105,116,6.2,27.3,87,172,Non-Anginal Pain,True,0.7,True,Current,0.8,122,6.2,39.8,False,7459,60.9,0
+1464,63,Female,117,85,197,44,105,238,172,7.2,33.9,78,138,Typical Angina,True,0.7,True,Never,1.8,120,5.9,26.8,True,3955,88.0,1
+1465,51,Male,95,54,165,57,62,214,109,5.4,25.4,67,153,Non-Anginal Pain,False,1.7,False,Never,1.6,101,8.3,70.4,False,4085,43.4,0
+1466,50,Male,123,80,141,49,94,110,100,5.4,21.0,68,193,Asymptomatic,False,0.4,True,Former,3.6,162,6.5,40.2,False,6479,57.6,0
+1467,38,Male,126,84,221,62,113,184,123,6.1,24.5,89,171,Non-Anginal Pain,True,0.9,True,Never,9.7,82,5.7,66.6,True,7043,59.3,0
+1468,60,Female,130,81,134,62,74,96,136,5.7,28.6,78,168,Asymptomatic,False,1.0,False,Current,3.3,167,7.7,49.0,True,8737,90.9,0
+1469,62,Female,112,75,197,49,114,175,102,5.2,16.9,84,176,Typical Angina,True,1.0,False,Current,14.8,161,6.3,44.3,False,2564,50.7,1
+1470,43,Male,119,80,210,69,104,144,85,5.2,24.7,70,193,Asymptomatic,True,0.7,True,Never,4.5,293,7.5,38.3,False,8410,77.2,0
+1471,27,Male,112,84,215,68,119,148,148,5.6,28.5,86,210,Asymptomatic,False,1.4,False,Never,2.5,143,7.8,35.9,True,6470,43.9,0
+1472,76,Male,137,95,200,57,99,165,150,6.3,30.3,79,124,Asymptomatic,False,0.2,True,Never,1.7,166,7.3,73.3,False,4534,40.9,0
+1473,44,Male,118,80,199,61,120,141,119,5.6,20.2,75,189,Asymptomatic,False,0.8,True,Current,9.0,254,8.3,46.5,True,9241,82.0,0
+1474,58,Female,139,99,223,83,108,154,104,5.3,25.5,82,159,Asymptomatic,False,1.0,False,Never,0.1,139,7.7,75.0,False,6522,52.8,0
+1475,42,Female,137,87,156,52,87,123,152,6.6,33.2,89,182,Non-Anginal Pain,False,1.1,False,Never,1.9,48,7.9,61.3,False,2478,50.7,0
+1476,43,Male,131,83,154,69,69,100,124,5.7,25.9,91,189,Asymptomatic,False,0.9,True,Never,24.8,231,7.0,62.6,False,4986,64.0,0
+1477,66,Male,117,73,102,40,54,54,91,4.5,17.1,64,153,Asymptomatic,False,1.3,False,Former,1.9,165,4.6,32.7,True,5362,42.6,0
+1478,49,Male,131,79,151,40,101,109,111,5.7,22.6,88,176,Asymptomatic,False,0.8,False,Never,7.9,21,8.1,64.8,False,1594,50.8,0
+1479,63,Male,125,74,210,40,134,217,158,6.6,27.0,69,138,Non-Anginal Pain,False,1.7,False,Never,5.9,146,5.5,47.3,True,5758,47.4,1
+1480,63,Male,132,75,256,72,152,133,142,6.6,29.4,91,162,Asymptomatic,False,1.1,False,Former,3.1,167,6.2,53.5,False,5655,54.8,0
+1481,46,Male,134,86,205,58,97,248,112,5.5,26.4,71,169,Atypical Angina,False,0.1,False,Never,4.5,239,7.1,30.1,False,6460,57.1,0
+1482,57,Male,116,83,95,43,36,90,147,6.9,24.4,74,166,Asymptomatic,True,1.8,False,Former,1.5,87,7.7,52.1,False,3183,80.7,0
+1483,63,Female,131,87,199,47,131,130,123,5.9,28.3,76,155,Asymptomatic,False,0.4,True,Never,10.0,52,7.4,49.0,False,3713,58.0,0
+1484,69,Male,133,88,193,29,137,120,80,4.6,18.8,78,157,Asymptomatic,False,2.4,True,Never,1.9,136,7.2,57.3,False,1529,65.6,0
+1485,50,Male,135,79,124,48,63,47,156,6.9,30.1,82,169,Atypical Angina,False,0.4,True,Never,2.2,143,6.5,28.7,False,4790,93.1,0
+1486,53,Female,130,85,164,55,85,108,113,5.8,24.1,75,160,Asymptomatic,False,0.5,True,Never,6.1,66,7.6,66.6,False,5327,63.0,0
+1487,41,Female,103,69,201,76,86,218,99,5.3,25.3,78,184,Non-Anginal Pain,False,0.6,False,Former,3.1,135,8.1,32.7,True,6194,50.7,0
+1488,63,Female,154,92,199,58,106,151,139,6.5,23.5,73,137,Non-Anginal Pain,False,0.5,False,Former,5.1,88,5.2,45.2,False,4001,77.8,0
+1489,55,Male,126,95,183,51,115,168,121,5.6,26.5,88,172,Asymptomatic,False,0.3,False,Never,1.9,133,8.5,64.6,False,5664,78.5,0
+1490,36,Female,136,95,215,65,102,255,126,5.8,26.7,95,189,Asymptomatic,True,1.5,True,Former,19.9,148,6.5,73.7,False,8072,54.5,0
+1491,49,Male,121,80,131,56,84,50,141,6.1,25.5,84,180,Asymptomatic,False,0.2,True,Former,3.3,177,6.6,67.6,False,8136,60.9,0
+1492,52,Female,124,77,207,74,99,133,85,4.3,20.2,86,169,Asymptomatic,False,0.4,False,Never,4.3,206,8.9,62.7,True,5828,70.5,0
+1493,46,Male,122,70,193,40,116,135,129,6.0,20.0,82,174,Asymptomatic,False,1.1,False,Never,2.2,11,10.2,38.2,False,2369,58.5,1
+1494,44,Female,131,77,220,45,155,148,140,6.5,26.0,83,159,Asymptomatic,True,1.5,True,Current,3.1,71,7.2,50.2,True,6064,61.8,1
+1495,32,Female,108,67,188,64,91,187,128,5.9,25.6,64,184,Asymptomatic,False,0.7,False,Never,1.4,193,7.9,34.0,True,6786,64.8,0
+1496,55,Female,134,82,160,47,92,177,60,4.1,20.4,80,152,Asymptomatic,False,0.2,True,Former,3.1,185,5.7,73.5,False,4520,77.9,0
+1497,48,Female,118,78,223,53,120,211,93,4.8,24.4,87,170,Asymptomatic,False,0.7,True,Former,5.8,166,7.8,58.5,True,6946,68.2,0
+1498,65,Male,142,89,187,62,100,169,116,5.6,26.0,76,150,Typical Angina,False,0.7,False,Former,2.9,134,9.2,76.2,True,7408,60.1,0
+1499,52,Male,121,81,124,18,79,208,119,5.3,24.7,80,156,Non-Anginal Pain,False,0.4,False,Current,12.0,36,7.6,59.2,False,2944,18.5,1
+1500,64,Female,113,69,212,75,101,199,93,5.1,21.6,91,167,Asymptomatic,True,0.5,False,Former,7.6,114,8.3,46.2,True,5983,35.0,0
+1501,38,Female,126,90,240,56,126,296,119,5.7,30.3,82,188,Atypical Angina,False,0.0,False,Never,5.7,216,7.8,70.0,True,7661,82.2,0
+1502,58,Female,120,89,182,41,100,176,120,5.0,24.3,77,164,Atypical Angina,False,0.2,True,Never,1.3,114,7.3,48.5,False,5259,70.0,0
+1503,63,Male,130,74,227,57,132,191,165,7.3,22.1,73,147,Atypical Angina,False,1.1,True,Former,12.9,179,7.5,77.1,False,9929,61.3,1
+1504,63,Female,136,78,213,35,132,259,99,5.5,23.0,87,132,Asymptomatic,True,2.7,False,Current,11.6,145,8.8,35.4,False,7062,41.8,1
+1505,50,Female,124,70,177,54,86,109,144,6.1,27.4,94,157,Atypical Angina,True,1.6,False,Current,4.7,89,6.5,38.3,False,4780,53.9,1
+1506,42,Male,107,73,193,64,95,130,114,5.6,28.5,70,183,Asymptomatic,False,2.1,False,Never,2.9,123,6.0,36.3,False,4016,76.1,0
+1507,75,Female,155,115,116,60,39,65,122,5.9,22.8,79,158,Atypical Angina,False,0.2,False,Never,2.6,33,8.0,64.0,False,5384,74.6,0
+1508,51,Male,114,72,152,44,88,93,86,4.6,20.0,88,195,Asymptomatic,False,0.5,False,Current,5.1,164,8.6,29.1,True,6063,50.6,0
+1509,38,Male,117,95,173,72,79,99,102,4.7,22.5,63,188,Asymptomatic,False,0.6,False,Never,1.6,296,7.4,27.6,True,5558,65.9,0
+1510,51,Female,144,86,216,62,124,152,165,6.9,20.8,64,177,Asymptomatic,False,1.0,True,Former,7.6,227,7.9,50.0,True,7363,54.3,0
+1511,58,Male,123,71,208,55,112,150,101,5.4,27.4,81,168,Asymptomatic,False,0.7,True,Never,10.7,144,8.6,53.5,True,5335,61.0,0
+1512,44,Female,133,83,215,75,106,162,124,6.3,24.8,76,165,Non-Anginal Pain,True,0.7,False,Former,0.8,95,9.0,59.3,False,7067,51.5,0
+1513,59,Male,148,92,234,64,144,89,103,5.8,23.0,75,125,Typical Angina,False,3.5,True,Former,4.6,106,7.3,34.5,True,7691,61.0,1
+1514,65,Male,121,87,194,42,100,233,120,6.1,25.5,98,134,Asymptomatic,True,1.8,False,Current,3.8,47,6.7,44.9,False,3888,37.4,1
+1515,53,Female,145,101,173,52,97,153,96,5.2,29.6,69,172,Non-Anginal Pain,True,2.6,True,Never,3.0,110,8.9,39.7,False,5506,50.8,0
+1516,67,Female,123,84,133,62,35,153,113,6.2,22.2,71,163,Non-Anginal Pain,False,1.2,False,Former,9.6,170,9.0,31.5,True,8059,90.5,0
+1517,52,Male,136,88,137,60,85,66,117,5.7,27.2,77,177,Non-Anginal Pain,False,1.2,False,Never,3.7,168,6.9,29.5,False,3783,50.4,0
+1518,48,Male,107,72,141,35,83,90,106,5.4,22.2,73,157,Non-Anginal Pain,False,0.1,True,Never,1.5,117,6.5,25.2,False,4372,77.8,0
+1519,74,Male,113,63,176,60,94,133,116,5.3,31.1,86,117,Atypical Angina,False,1.0,False,Former,2.7,92,8.2,42.8,False,3440,55.9,1
+1520,62,Female,144,77,225,60,123,214,137,5.7,29.8,85,163,Asymptomatic,True,0.1,False,Former,12.3,136,8.6,31.9,False,5275,44.6,0
+1521,55,Female,121,80,183,52,79,219,102,5.7,24.7,91,174,Asymptomatic,True,0.2,False,Former,0.5,0,7.0,81.3,False,4235,45.1,0
+1522,30,Male,101,69,159,59,80,157,89,4.9,28.7,73,206,Atypical Angina,False,0.7,True,Never,2.9,239,7.9,44.0,True,8464,63.1,0
+1523,36,Male,112,80,217,70,101,194,159,7.3,33.0,81,194,Non-Anginal Pain,True,0.0,True,Former,5.8,110,7.0,38.4,False,7205,59.6,0
+1524,32,Female,109,63,178,43,114,86,131,5.7,20.1,77,210,Asymptomatic,False,0.6,False,Current,1.7,194,6.7,60.5,True,5505,63.5,0
+1525,53,Male,149,99,202,49,113,238,118,5.2,23.9,84,170,Non-Anginal Pain,True,0.8,True,Never,9.4,137,8.3,63.4,True,4300,43.1,0
+1526,53,Female,143,93,193,79,81,193,96,5.6,24.8,69,174,Asymptomatic,False,0.6,False,Never,1.0,138,7.5,87.4,False,5210,31.1,0
+1527,59,Female,143,95,192,45,115,205,140,6.4,28.4,88,154,Atypical Angina,False,0.5,False,Never,4.1,196,6.8,66.6,True,8399,54.9,0
+1528,67,Female,138,81,114,46,44,93,117,6.1,21.9,97,110,Non-Anginal Pain,False,3.2,True,Never,6.7,67,5.2,53.6,True,8129,80.9,1
+1529,34,Female,118,92,176,49,119,35,126,5.6,20.8,85,206,Typical Angina,False,0.5,False,Never,0.8,205,7.5,50.4,False,6510,59.2,0
+1530,36,Female,142,89,197,59,79,253,116,5.1,34.5,94,190,Non-Anginal Pain,False,0.5,False,Never,0.2,49,7.2,39.2,False,4757,30.6,0
+1531,42,Female,132,87,131,43,68,151,125,5.1,29.8,65,172,Non-Anginal Pain,False,0.3,False,Former,9.0,203,6.3,42.2,False,9133,74.2,0
+1532,60,Female,126,78,213,73,109,150,88,5.3,23.8,88,130,Typical Angina,False,0.4,False,Former,0.4,138,5.5,48.5,False,4670,73.4,1
+1533,57,Male,127,87,138,47,74,125,78,4.4,29.3,78,176,Asymptomatic,False,0.2,False,Former,7.8,174,7.2,31.8,False,4403,55.2,0
+1534,40,Female,112,63,181,49,86,198,84,4.6,22.5,88,186,Atypical Angina,False,0.1,False,Never,0.4,161,6.7,57.5,True,4762,48.9,0
+1535,45,Male,114,68,153,59,79,96,91,5.0,21.4,79,173,Typical Angina,False,0.3,False,Never,7.6,162,7.0,41.9,False,3401,72.8,0
+1536,59,Female,124,80,242,69,138,174,119,5.4,29.4,72,146,Atypical Angina,False,0.6,False,Never,5.4,62,7.6,54.0,True,6428,59.2,1
+1537,55,Male,138,76,225,55,117,270,144,6.6,32.7,76,152,Asymptomatic,False,0.4,False,Never,3.5,103,6.5,57.7,False,4512,46.5,0
+1538,67,Male,137,89,196,60,130,35,101,5.6,28.9,77,117,Non-Anginal Pain,False,1.8,True,Never,2.0,86,6.9,33.5,True,7625,62.0,1
+1539,43,Male,119,81,179,71,63,170,118,5.5,24.2,81,196,Asymptomatic,False,0.4,True,Never,17.7,186,7.1,58.5,True,5838,63.2,0
+1540,52,Female,144,93,166,49,84,171,119,5.2,22.5,98,142,Typical Angina,True,0.3,False,Current,7.6,20,5.9,69.2,False,6387,50.0,1
+1541,41,Male,130,73,180,49,99,165,104,6.0,19.8,85,153,Typical Angina,True,3.3,False,Former,5.2,87,4.7,45.5,False,6932,57.8,1
+1542,69,Male,134,92,223,52,133,153,94,5.0,36.0,99,136,Asymptomatic,True,3.3,False,Current,2.9,94,6.9,34.4,False,6878,60.4,1
+1543,67,Male,121,82,201,54,114,175,91,5.2,29.3,87,171,Asymptomatic,False,0.0,False,Never,5.7,116,7.0,43.2,False,3589,61.7,0
+1544,60,Male,154,84,263,63,132,291,126,6.4,27.0,91,149,Non-Anginal Pain,True,0.5,False,Never,3.0,147,7.3,52.9,False,7061,65.4,1
+1545,66,Female,126,90,143,54,54,130,124,6.0,26.8,76,172,Asymptomatic,False,0.7,True,Current,0.3,195,9.8,30.3,True,8824,68.7,0
+1546,72,Female,115,78,205,54,118,214,96,5.4,30.3,81,125,Typical Angina,True,2.9,True,Former,2.5,100,5.5,40.6,False,1495,59.7,1
+1547,73,Female,126,76,154,59,86,132,176,7.4,28.2,69,145,Non-Anginal Pain,False,1.0,False,Never,2.9,121,6.5,41.3,False,6649,69.0,0
+1548,76,Male,163,98,132,40,82,108,109,5.4,30.3,75,126,Non-Anginal Pain,False,0.2,False,Former,3.5,140,6.9,69.9,False,3015,38.0,0
+1549,45,Female,135,82,159,33,70,201,140,6.3,28.3,85,170,Atypical Angina,False,0.7,False,Former,7.0,45,7.6,67.2,False,4503,25.3,1
+1550,43,Male,131,73,206,60,106,164,119,5.7,21.0,87,139,Atypical Angina,True,1.0,False,Never,3.0,75,6.6,72.8,False,1852,63.7,1
+1551,70,Male,122,79,184,58,102,206,111,5.8,23.6,82,137,Asymptomatic,False,1.8,True,Never,3.3,53,6.8,10.2,False,3520,74.7,0
+1552,48,Male,126,75,196,52,120,190,112,5.3,21.8,77,163,Non-Anginal Pain,False,0.5,True,Never,2.2,115,6.6,48.1,False,7150,37.1,0
+1553,31,Female,122,84,196,70,84,188,113,5.5,27.6,85,209,Asymptomatic,False,0.4,True,Former,2.0,183,7.1,52.5,False,3847,70.6,0
+1554,48,Female,102,62,177,54,76,256,146,6.4,28.4,78,163,Asymptomatic,False,0.5,True,Never,16.0,230,6.4,40.5,False,5430,52.7,0
+1555,67,Male,130,78,227,35,144,208,109,5.5,33.2,94,159,Atypical Angina,False,1.3,False,Never,12.4,95,7.5,60.4,False,5335,43.2,1
+1556,48,Male,112,69,203,73,115,117,134,6.5,16.1,89,158,Asymptomatic,False,1.8,False,Never,2.2,1,5.1,73.1,False,2291,65.2,1
+1557,64,Female,152,89,169,74,73,119,130,5.9,24.6,69,170,Typical Angina,False,0.6,False,Never,4.2,226,7.9,79.7,True,6129,63.6,0
+1558,58,Male,138,91,196,55,113,178,147,6.8,27.1,90,139,Non-Anginal Pain,False,1.8,False,Former,4.7,32,8.6,53.8,True,7637,67.9,1
+1559,37,Male,114,76,176,57,80,174,108,5.6,24.6,79,176,Atypical Angina,False,5.1,False,Former,2.0,68,6.6,64.2,False,6774,61.5,1
+1560,60,Male,136,74,165,62,70,126,97,5.2,22.3,66,170,Atypical Angina,True,0.7,True,Never,2.5,218,5.8,63.4,False,4496,79.3,0
+1561,54,Male,130,82,159,46,67,164,161,6.4,33.7,76,146,Asymptomatic,False,1.0,False,Never,15.5,0,6.7,35.8,False,3611,45.7,0
+1562,47,Male,127,84,115,49,62,102,178,6.8,26.1,78,187,Atypical Angina,False,0.8,False,Never,2.3,147,7.1,59.6,True,6532,100.0,0
+1563,35,Male,134,85,179,36,94,200,100,5.4,30.0,87,174,Atypical Angina,False,2.3,False,Current,2.7,41,5.1,86.6,False,5744,76.0,0
+1564,75,Female,150,97,211,46,128,178,148,6.4,29.8,97,124,Non-Anginal Pain,True,1.8,False,Former,0.9,21,3.8,47.9,False,3724,38.0,1
+1565,42,Male,125,80,210,49,122,220,141,6.7,29.3,93,151,Asymptomatic,True,0.6,True,Never,8.7,65,7.3,33.5,True,7196,21.7,1
+1566,28,Male,132,80,224,50,145,152,129,6.2,24.6,69,162,Non-Anginal Pain,True,2.1,True,Never,5.6,109,7.5,39.1,False,7135,68.7,1
+1567,65,Male,150,98,218,51,129,172,106,5.5,24.3,68,141,Atypical Angina,True,0.4,False,Former,43.9,217,7.0,49.1,False,4158,60.7,1
+1568,48,Male,132,84,211,52,116,187,145,6.8,31.2,79,153,Atypical Angina,True,0.8,False,Never,22.2,37,7.8,61.0,False,3884,68.0,1
+1569,69,Male,157,99,199,39,133,165,119,5.2,25.5,68,136,Non-Anginal Pain,False,0.3,False,Current,2.5,160,6.8,54.7,True,5906,61.5,1
+1570,53,Male,153,83,144,32,89,149,89,5.1,32.2,75,177,Asymptomatic,False,0.1,True,Former,6.6,105,7.9,52.5,False,3770,58.1,0
+1571,54,Male,117,84,198,62,102,174,112,5.6,23.7,75,147,Typical Angina,True,4.1,True,Former,4.6,150,7.3,18.7,True,6032,75.2,1
+1572,62,Male,127,87,149,69,57,155,86,4.7,20.4,65,158,Asymptomatic,False,0.7,False,Never,2.8,185,7.8,17.2,True,7050,68.5,0
+1573,55,Female,140,84,276,59,169,163,129,5.7,28.1,81,144,Atypical Angina,True,0.5,True,Former,4.6,88,7.3,43.9,False,5600,33.3,1
+1574,55,Male,153,91,173,61,92,124,165,7.8,34.0,90,151,Asymptomatic,False,0.1,False,Never,6.3,28,5.9,73.9,True,7207,52.8,1
+1575,68,Male,120,84,245,64,158,123,130,6.4,22.9,74,154,Non-Anginal Pain,False,2.3,False,Never,11.7,113,6.3,36.8,False,7482,64.3,1
+1576,42,Female,127,74,195,44,137,100,85,4.9,26.3,79,177,Atypical Angina,True,0.2,False,Never,11.7,98,6.2,53.6,False,6967,51.4,0
+1577,61,Female,155,94,158,55,71,140,94,5.0,26.8,74,156,Typical Angina,False,1.1,False,Never,17.7,207,9.5,51.6,True,6972,68.4,1
+1578,58,Female,148,105,185,47,105,170,134,6.4,26.5,96,157,Atypical Angina,True,1.9,True,Never,5.1,0,8.2,55.7,False,7834,39.0,1
+1579,33,Female,114,70,211,38,136,161,118,5.8,26.3,94,179,Asymptomatic,False,1.1,False,Current,3.1,69,8.7,41.0,True,5375,52.6,0
+1580,68,Female,130,74,159,55,82,68,123,5.9,29.5,66,157,Asymptomatic,False,0.8,False,Current,1.6,176,6.1,39.6,True,5502,63.8,0
+1581,64,Male,138,79,184,43,112,187,112,5.5,24.7,68,132,Non-Anginal Pain,False,5.8,False,Former,12.6,177,6.9,44.3,False,2334,54.7,1
+1582,74,Female,161,98,206,51,110,238,147,6.5,30.5,82,155,Atypical Angina,False,0.1,False,Former,8.9,108,6.8,49.3,False,500,37.2,0
+1583,48,Female,128,83,133,62,47,101,145,6.4,21.7,82,168,Non-Anginal Pain,False,0.5,True,Former,3.4,108,8.6,35.1,False,5915,68.7,0
+1584,40,Male,132,74,155,71,85,35,113,5.7,20.6,87,192,Asymptomatic,False,0.8,False,Never,4.3,129,4.8,65.4,True,5003,61.1,0
+1585,90,Female,153,98,153,38,92,165,186,7.7,27.3,94,132,Asymptomatic,True,0.3,False,Never,11.3,94,7.8,58.3,True,4248,45.7,1
+1586,41,Female,106,65,226,62,121,243,126,5.6,29.3,94,178,Asymptomatic,False,0.8,False,Current,4.6,212,7.6,51.4,True,9047,46.0,0
+1587,44,Male,121,86,123,44,70,73,112,5.5,21.9,90,138,Asymptomatic,False,1.4,False,Never,2.0,138,6.2,92.8,True,10090,43.8,1
+1588,61,Male,158,90,153,50,79,96,103,5.5,33.6,73,141,Non-Anginal Pain,False,0.7,False,Former,15.0,142,6.8,69.9,True,6863,39.2,1
+1589,48,Female,121,75,181,64,99,96,93,5.3,22.2,83,165,Asymptomatic,False,0.2,False,Current,1.1,228,7.5,65.9,True,7486,65.8,0
+1590,59,Male,145,75,204,53,121,69,133,6.2,24.4,83,162,Non-Anginal Pain,False,0.8,False,Never,1.9,212,6.6,46.3,True,5869,52.0,0
+1591,37,Female,108,66,160,54,98,97,151,6.8,20.1,86,203,Asymptomatic,True,2.2,True,Never,1.7,81,7.1,25.8,False,7555,76.8,0
+1592,32,Male,110,68,222,41,124,259,110,4.9,26.1,77,173,Asymptomatic,False,0.3,False,Never,2.1,33,6.1,56.2,False,4993,49.2,0
+1593,47,Female,122,74,203,58,104,145,171,7.4,26.6,85,159,Asymptomatic,False,1.0,False,Never,0.1,54,6.9,30.7,True,7861,64.4,0
+1594,63,Male,142,93,180,43,107,179,163,6.8,28.3,85,157,Non-Anginal Pain,False,0.6,False,Never,13.9,96,6.7,70.3,True,8659,45.9,0
+1595,54,Female,129,78,173,46,87,164,102,5.9,27.8,87,168,Non-Anginal Pain,False,0.2,False,Never,16.2,0,6.3,48.5,False,3486,52.3,0
+1596,70,Male,156,83,226,56,141,153,108,6.1,26.2,97,135,Asymptomatic,False,1.2,False,Current,6.2,84,6.3,57.8,True,6353,61.8,1
+1597,51,Male,148,91,153,50,81,166,113,5.6,28.2,74,175,Asymptomatic,False,0.4,False,Current,12.7,203,4.7,86.5,False,6288,63.1,0
+1598,56,Female,115,85,143,57,63,147,141,6.3,24.2,75,151,Asymptomatic,True,0.7,False,Never,1.3,151,7.9,39.4,False,1862,57.1,0
+1599,42,Female,118,77,210,48,121,176,113,6.0,25.7,70,160,Asymptomatic,False,3.1,True,Former,1.2,149,7.8,58.0,True,9992,60.4,0
+1600,35,Female,116,75,167,60,94,159,96,5.2,29.5,78,183,Atypical Angina,False,0.7,False,Never,2.9,218,4.4,25.6,True,8580,34.3,0
+1601,38,Female,119,84,136,59,45,174,114,5.4,25.7,79,190,Asymptomatic,False,1.1,False,Current,1.6,171,7.0,57.6,False,5188,80.4,0
+1602,44,Male,131,80,190,69,82,196,106,5.0,19.6,85,169,Typical Angina,False,0.2,False,Former,10.1,251,5.0,70.5,True,7919,77.9,0
+1603,80,Male,144,94,227,58,121,237,149,6.9,28.1,73,128,Typical Angina,False,1.1,False,Never,6.4,70,8.5,56.3,True,4679,48.8,1
+1604,37,Male,96,53,199,64,109,177,113,5.8,24.5,64,184,Asymptomatic,False,0.4,False,Never,4.8,71,6.4,41.7,False,7053,88.6,0
+1605,43,Female,136,77,205,66,116,132,109,5.8,23.2,80,168,Non-Anginal Pain,False,0.6,True,Never,0.2,147,7.7,51.8,False,3988,50.1,1
+1606,72,Female,136,87,196,50,121,118,90,5.0,34.2,82,132,Asymptomatic,False,0.6,False,Never,2.3,25,5.8,65.8,False,3821,58.3,1
+1607,45,Male,144,88,189,50,93,227,146,6.8,27.5,83,158,Asymptomatic,True,0.1,False,Current,7.6,132,7.0,39.5,False,3475,50.5,1
+1608,62,Male,116,82,219,62,137,136,132,6.6,23.4,93,149,Asymptomatic,False,0.2,False,Former,5.0,102,6.2,39.9,False,6561,87.5,0
+1609,24,Male,136,78,167,50,80,151,135,6.2,25.0,82,193,Asymptomatic,False,1.6,False,Former,16.1,101,7.0,55.2,False,6257,62.4,0
+1610,41,Male,124,73,196,33,109,250,102,5.7,30.9,75,169,Non-Anginal Pain,False,0.9,False,Former,20.3,81,6.3,43.0,True,7825,68.7,0
+1611,61,Male,151,96,239,67,114,266,113,4.8,30.0,83,185,Atypical Angina,False,0.5,False,Former,7.2,163,6.8,27.7,False,4904,70.1,0
+1612,32,Male,109,77,186,52,115,128,107,6.4,27.4,79,168,Asymptomatic,False,0.4,True,Current,1.6,76,7.0,27.4,True,7619,58.5,0
+1613,56,Male,114,67,152,71,67,68,83,4.6,19.1,77,163,Asymptomatic,False,0.8,False,Never,3.9,199,7.3,43.1,True,6300,78.5,0
+1614,54,Male,152,92,125,39,79,100,119,5.8,21.8,89,147,Asymptomatic,False,1.4,True,Never,7.1,85,5.1,82.3,False,3958,57.2,1
+1615,47,Female,115,72,220,71,134,138,101,5.3,18.8,85,164,Asymptomatic,False,1.5,False,Never,0.5,129,7.5,28.2,False,5881,37.6,0
+1616,50,Male,121,93,173,51,85,177,84,5.5,22.9,86,168,Non-Anginal Pain,False,0.3,False,Former,2.7,118,7.7,51.5,False,5136,73.8,0
+1617,63,Male,138,76,152,44,75,137,151,7.3,27.0,93,138,Asymptomatic,False,0.7,False,Never,1.6,34,7.3,44.8,True,6747,100.0,0
+1618,53,Male,131,77,218,38,153,117,154,6.4,24.5,65,177,Asymptomatic,False,0.1,False,Former,3.1,37,6.4,43.6,False,5013,51.6,0
+1619,67,Female,120,75,223,59,113,225,125,6.1,27.4,83,159,Asymptomatic,False,0.7,False,Never,4.5,115,5.7,53.5,False,3689,61.7,0
+1620,64,Male,137,85,205,62,102,170,121,5.1,24.9,90,135,Asymptomatic,False,0.5,False,Former,5.7,52,7.0,53.6,False,1235,50.6,0
+1621,74,Female,128,82,215,54,115,144,156,6.7,21.9,105,135,Asymptomatic,True,1.0,False,Never,4.9,29,6.7,55.7,False,3369,46.5,0
+1622,48,Female,129,89,199,55,100,163,148,7.1,30.6,83,167,Atypical Angina,False,0.5,True,Never,20.6,185,7.0,51.1,False,7721,74.3,1
+1623,56,Female,126,79,250,54,168,118,112,6.0,29.2,91,187,Atypical Angina,False,0.7,False,Never,8.4,84,7.6,49.5,False,6199,43.6,0
+1624,40,Female,141,82,195,58,95,206,147,6.4,35.3,80,191,Atypical Angina,False,0.4,False,Never,0.2,168,6.6,36.1,False,6119,54.6,0
+1625,62,Male,118,76,186,60,87,123,118,5.4,26.7,78,147,Typical Angina,False,0.8,False,Never,3.1,164,6.6,45.1,False,7526,35.5,0
+1626,45,Female,130,78,197,65,109,102,101,4.7,21.1,75,184,Typical Angina,False,1.3,False,Former,0.6,151,5.5,56.1,False,7457,61.5,0
+1627,62,Male,132,81,180,43,97,146,110,4.6,26.7,80,168,Asymptomatic,False,1.8,False,Former,2.1,171,6.3,76.9,False,5836,56.7,0
+1628,50,Female,132,94,215,59,127,154,123,5.7,26.9,76,181,Atypical Angina,False,0.2,False,Former,2.6,95,6.2,39.1,False,6166,60.3,0
+1629,52,Female,124,74,188,53,116,136,152,6.6,31.8,72,182,Asymptomatic,False,0.9,False,Never,18.7,113,5.7,28.8,True,8610,50.9,0
+1630,57,Male,138,85,182,60,81,196,146,6.9,18.9,80,157,Non-Anginal Pain,False,0.7,True,Former,8.6,113,7.0,67.2,True,5863,60.9,0
+1631,44,Male,118,84,215,55,114,164,127,5.4,22.3,91,207,Non-Anginal Pain,False,2.3,False,Never,8.3,219,7.7,44.7,True,9907,50.7,0
+1632,45,Female,142,84,231,67,133,184,101,5.7,25.9,92,174,Typical Angina,True,0.9,False,Former,7.8,132,6.9,47.6,True,5140,57.4,0
+1633,46,Male,134,79,179,56,94,158,117,6.4,26.1,95,164,Asymptomatic,True,0.7,False,Never,2.2,5,7.5,46.1,False,6293,11.5,0
+1634,47,Female,129,82,166,66,68,173,117,5.6,27.6,80,162,Asymptomatic,False,1.0,False,Never,2.0,130,8.2,24.7,False,8299,62.6,0
+1635,62,Male,115,77,174,38,98,202,128,5.8,29.7,84,155,Typical Angina,False,0.8,False,Never,3.8,136,9.0,60.4,True,7660,32.9,0
+1636,49,Male,102,50,158,47,79,153,114,5.6,24.4,94,185,Asymptomatic,False,0.6,False,Never,3.5,102,8.7,66.7,False,4008,51.6,0
+1637,46,Male,127,88,181,53,102,144,94,5.5,28.8,84,172,Asymptomatic,False,1.2,False,Never,16.4,199,6.1,36.4,False,7481,67.9,1
+1638,65,Female,123,74,151,52,88,103,97,5.5,22.3,69,151,Asymptomatic,False,1.0,True,Never,14.2,129,7.2,22.9,True,3761,70.3,0
+1639,63,Male,131,67,158,35,99,143,127,5.7,25.7,85,168,Asymptomatic,False,1.3,False,Never,3.7,110,6.8,49.9,False,7074,52.4,0
+1640,52,Female,137,79,198,70,111,107,116,5.8,27.1,92,168,Asymptomatic,False,0.5,True,Current,8.0,171,6.2,44.8,True,7738,51.1,0
+1641,86,Male,134,89,200,58,98,173,81,4.8,25.8,74,139,Asymptomatic,False,0.8,True,Former,6.5,157,8.3,47.1,False,3291,47.2,0
+1642,40,Female,124,74,144,44,93,49,135,6.0,28.5,69,175,Asymptomatic,False,1.7,False,Current,2.3,126,6.7,64.0,False,4901,63.6,0
+1643,75,Male,109,69,149,42,102,61,142,5.9,23.4,77,181,Atypical Angina,False,0.4,False,Current,8.6,71,6.2,55.7,True,7993,76.1,0
+1644,57,Female,119,78,209,62,112,110,107,5.4,26.6,76,155,Non-Anginal Pain,False,2.1,False,Former,9.9,150,8.3,58.7,False,5927,58.5,0
+1645,67,Female,130,93,242,69,132,197,141,5.5,33.7,74,148,Asymptomatic,True,1.0,True,Former,0.2,100,6.9,22.4,False,4847,68.6,1
+1646,50,Male,136,88,161,60,69,167,141,6.6,27.4,76,144,Atypical Angina,False,2.2,False,Never,6.9,157,6.7,81.2,True,7847,70.5,1
+1647,69,Female,127,76,200,48,135,126,114,5.9,24.4,69,163,Asymptomatic,True,1.8,False,Never,1.3,151,6.2,22.3,True,4524,54.0,0
+1648,41,Female,122,82,160,36,108,107,140,6.5,15.1,84,185,Asymptomatic,False,1.5,True,Never,4.3,144,7.1,23.4,True,5863,60.5,0
+1649,64,Female,124,87,257,50,156,196,74,4.7,23.9,57,158,Asymptomatic,True,0.8,False,Former,5.5,194,6.0,37.8,True,5415,48.4,1
+1650,57,Female,150,91,152,28,88,179,119,6.1,28.7,78,150,Asymptomatic,True,0.6,False,Former,0.5,67,4.5,48.9,False,6496,43.8,1
+1651,65,Male,130,81,158,37,112,35,144,6.3,29.5,82,162,Atypical Angina,False,0.4,False,Never,2.7,105,7.3,64.3,False,5804,49.7,0
+1652,48,Female,140,82,181,51,115,66,143,6.4,26.0,77,160,Atypical Angina,False,0.3,False,Former,3.1,92,6.9,56.6,False,2679,73.9,1
+1653,59,Female,121,76,175,47,94,163,106,5.4,31.8,94,127,Asymptomatic,False,0.6,False,Never,5.2,63,5.6,69.4,False,6081,69.5,0
+1654,44,Female,133,91,116,61,37,51,80,4.7,20.0,78,183,Non-Anginal Pain,True,0.1,False,Never,1.7,192,5.3,55.8,True,6321,55.4,0
+1655,49,Female,126,86,148,52,101,57,136,6.5,27.6,96,154,Asymptomatic,False,0.7,False,Never,2.4,130,7.0,58.1,True,8227,61.7,0
+1656,51,Male,131,68,164,50,103,118,135,5.4,25.3,92,189,Typical Angina,False,0.2,False,Never,5.0,51,7.4,49.7,False,7438,52.9,0
+1657,46,Male,121,80,187,73,80,178,181,7.4,29.4,97,131,Atypical Angina,True,0.1,True,Former,7.0,64,6.1,50.2,True,4908,72.0,0
+1658,47,Male,105,62,197,55,97,190,87,5.1,23.6,83,183,Asymptomatic,False,3.1,False,Former,2.5,183,6.7,63.3,False,9116,48.2,0
+1659,38,Male,126,81,191,72,90,215,125,5.8,27.9,95,190,Asymptomatic,False,0.2,False,Never,12.3,93,6.5,66.0,False,4054,69.5,0
+1660,52,Male,111,73,152,50,77,216,140,6.5,28.8,78,187,Non-Anginal Pain,False,1.0,False,Never,6.1,129,9.4,37.8,True,6933,58.9,0
+1661,73,Female,120,74,207,75,90,211,116,5.8,24.6,70,149,Asymptomatic,False,1.1,True,Never,2.2,125,7.6,36.7,False,5625,54.7,0
+1662,90,Female,151,107,183,41,95,223,157,6.8,33.6,86,150,Non-Anginal Pain,False,0.9,False,Never,0.4,73,8.4,58.9,False,4501,62.1,0
+1663,43,Female,128,82,156,34,97,154,149,6.9,26.1,89,177,Asymptomatic,True,1.9,False,Current,2.2,40,4.2,47.4,False,8396,48.3,1
+1664,44,Female,144,91,209,58,121,210,106,5.3,29.4,94,190,Asymptomatic,False,0.2,True,Never,2.6,105,6.5,58.4,False,6120,21.4,0
+1665,58,Male,123,88,205,50,126,159,155,6.4,21.7,81,145,Asymptomatic,False,0.3,True,Never,5.2,25,5.9,55.0,True,8856,56.2,1
+1666,60,Male,145,103,150,43,70,163,113,5.5,26.6,99,177,Asymptomatic,False,0.2,False,Former,11.5,98,6.8,80.6,False,6021,69.5,0
+1667,37,Female,94,50,161,40,76,227,154,6.4,24.5,83,192,Asymptomatic,False,0.5,False,Current,1.4,129,6.6,29.2,True,7738,64.1,0
+1668,24,Male,136,81,200,62,113,137,72,4.5,27.1,80,206,Typical Angina,True,1.0,False,Never,3.6,229,8.3,32.6,False,5828,83.5,0
+1669,57,Male,149,96,169,53,83,161,107,5.0,27.8,87,167,Asymptomatic,False,0.6,False,Never,27.0,89,4.6,51.1,False,3699,48.7,0
+1670,71,Female,139,92,228,50,148,150,167,7.0,35.1,102,145,Non-Anginal Pain,False,3.2,False,Never,4.0,38,7.2,59.0,True,5055,51.3,1
+1671,72,Female,124,77,190,52,111,198,132,5.9,31.4,81,140,Asymptomatic,False,1.8,False,Never,1.0,69,7.7,59.8,False,1810,53.1,1
+1672,54,Female,119,81,146,49,62,169,105,5.4,21.4,85,155,Atypical Angina,True,0.6,False,Never,1.0,128,8.4,33.7,False,6001,73.8,0
+1673,72,Male,137,81,229,55,117,247,152,6.2,20.2,78,122,Asymptomatic,True,0.2,False,Current,3.3,61,8.0,62.3,False,3816,60.8,1
+1674,52,Male,130,78,195,54,106,159,114,5.8,22.4,88,177,Asymptomatic,False,1.0,False,Never,8.5,156,7.6,43.6,False,5205,69.8,0
+1675,36,Male,133,76,179,55,112,114,134,5.9,18.3,86,189,Atypical Angina,False,0.2,True,Former,3.4,122,5.7,40.2,False,5549,44.3,0
+1676,52,Female,118,80,203,59,112,130,102,5.1,26.7,83,177,Asymptomatic,True,0.1,False,Former,0.3,181,8.3,16.6,False,6594,44.0,0
+1677,67,Male,148,83,194,52,104,176,112,6.0,31.5,79,132,Typical Angina,True,0.5,True,Current,7.9,45,4.8,47.2,False,4161,51.6,1
+1678,56,Female,138,81,203,60,114,101,112,5.9,24.9,86,144,Atypical Angina,False,0.3,True,Never,5.9,56,6.3,55.4,True,4094,58.3,1
+1679,47,Male,163,99,222,78,94,246,140,6.4,33.1,65,165,Atypical Angina,False,1.2,False,Never,18.0,145,6.3,34.1,False,3414,60.9,1
+1680,55,Male,144,96,104,66,44,52,124,6.0,22.5,81,133,Asymptomatic,True,1.5,True,Never,1.8,91,4.3,47.3,False,5137,52.5,1
+1681,58,Female,134,86,224,90,113,106,108,5.2,28.4,82,169,Atypical Angina,False,0.1,False,Never,2.9,247,6.4,12.5,True,7278,63.4,0
+1682,56,Male,119,69,203,41,129,186,113,6.1,24.8,66,144,Non-Anginal Pain,False,1.0,False,Former,6.7,96,7.3,42.9,True,9607,60.9,1
+1683,58,Male,137,93,222,64,125,150,108,5.1,23.3,74,189,Non-Anginal Pain,False,1.3,True,Current,6.7,199,8.2,52.0,False,3297,58.0,0
+1684,59,Male,105,71,168,29,87,199,118,5.7,26.2,86,172,Typical Angina,True,2.0,False,Never,9.9,162,8.1,49.5,True,6501,54.2,1
+1685,68,Female,138,101,203,61,104,217,132,5.9,24.4,79,153,Asymptomatic,False,0.3,False,Former,16.8,137,7.1,45.2,False,2765,74.7,0
+1686,56,Male,127,75,236,68,127,157,121,6.1,22.5,87,154,Asymptomatic,False,1.4,False,Never,32.2,116,8.9,58.5,False,7371,42.2,0
+1687,52,Male,131,80,184,70,75,202,132,5.8,23.0,85,193,Asymptomatic,True,0.9,True,Never,1.7,225,7.5,40.0,True,9794,95.0,0
+1688,59,Male,127,86,245,42,133,355,119,6.2,35.5,70,150,Non-Anginal Pain,False,0.1,False,Former,4.0,47,7.7,30.4,True,6097,78.5,1
+1689,62,Female,131,68,213,72,119,162,104,5.8,17.7,76,155,Atypical Angina,False,0.8,False,Never,0.8,226,7.8,34.5,True,5556,69.4,0
+1690,31,Male,113,63,182,61,99,92,87,4.6,17.2,80,168,Non-Anginal Pain,False,1.1,True,Former,10.5,175,8.9,37.2,True,9862,76.3,0
+1691,69,Female,129,74,197,71,106,146,85,4.4,25.7,75,149,Atypical Angina,False,0.7,False,Former,5.0,194,7.8,41.2,True,6134,75.1,0
+1692,76,Male,169,104,198,50,100,194,99,5.4,30.4,91,129,Atypical Angina,True,0.2,False,Former,5.7,111,6.9,80.6,False,3576,62.1,1
+1693,54,Male,121,67,192,55,137,85,116,5.6,29.6,86,173,Asymptomatic,False,0.1,False,Former,1.9,222,5.8,66.2,False,5746,75.5,0
+1694,62,Female,126,74,209,65,125,126,117,6.0,24.2,66,177,Non-Anginal Pain,False,0.4,True,Never,8.4,151,8.0,40.4,False,6598,72.3,0
+1695,44,Male,123,70,179,72,66,178,79,4.5,21.8,67,181,Atypical Angina,False,0.1,True,Former,4.9,226,9.3,45.9,True,7007,61.3,0
+1696,63,Male,117,85,187,46,112,200,106,5.0,24.3,96,147,Asymptomatic,False,0.6,True,Current,7.5,160,5.2,48.9,False,7123,49.3,1
+1697,43,Male,107,65,169,48,81,199,113,5.8,27.1,79,176,Non-Anginal Pain,False,1.0,False,Never,5.1,145,7.1,19.5,False,4806,44.3,0
+1698,56,Male,120,63,254,73,135,199,140,6.2,29.5,60,182,Typical Angina,False,0.4,False,Never,6.1,207,6.7,27.8,False,3804,66.3,0
+1699,61,Male,139,100,177,55,96,168,132,6.0,23.2,86,156,Atypical Angina,False,0.4,True,Never,4.4,87,6.0,72.2,False,5768,41.0,0
+1700,44,Male,126,75,125,51,35,151,111,5.1,29.1,68,188,Non-Anginal Pain,False,0.6,False,Never,1.8,175,6.8,72.9,False,5967,47.8,0
+1701,40,Male,131,87,221,70,112,172,126,5.9,26.6,78,179,Asymptomatic,False,0.2,False,Current,1.6,167,4.8,60.2,False,4649,61.3,0
+1702,49,Female,115,71,203,54,111,167,153,6.5,30.9,70,164,Typical Angina,False,0.5,False,Former,1.0,212,8.7,43.9,True,4868,70.4,0
+1703,47,Female,130,89,191,56,109,118,107,5.6,24.7,84,175,Asymptomatic,False,2.9,False,Never,1.4,123,8.2,58.6,False,5805,45.8,0
+1704,50,Female,142,88,157,31,96,89,127,6.1,28.1,95,161,Asymptomatic,False,0.1,False,Never,0.0,58,7.1,47.1,False,2684,53.7,0
+1705,40,Female,124,75,154,54,83,111,118,5.6,28.3,99,196,Asymptomatic,False,0.7,False,Never,0.5,79,7.2,61.8,False,4851,87.6,0
+1706,68,Female,118,62,188,49,114,85,102,5.5,24.7,94,137,Typical Angina,True,0.1,False,Current,7.8,126,6.7,42.7,False,5846,70.2,1
+1707,50,Male,136,85,144,34,57,299,138,6.5,30.9,87,172,Atypical Angina,False,0.6,False,Current,10.6,147,7.6,40.1,True,3204,39.2,1
+1708,60,Male,116,83,189,60,85,201,118,5.7,21.6,89,133,Typical Angina,True,1.6,False,Never,6.6,134,6.5,43.0,False,5902,72.3,1
+1709,33,Male,127,88,183,23,126,160,130,6.5,33.9,90,200,Asymptomatic,False,0.2,False,Never,4.3,0,6.9,51.8,False,4733,54.5,0
+1710,46,Male,122,81,146,26,91,140,120,6.0,29.5,95,180,Asymptomatic,False,0.5,True,Former,1.5,111,6.7,57.2,True,6516,83.0,1
+1711,75,Female,134,83,168,47,86,186,162,6.9,23.6,66,151,Atypical Angina,False,4.7,False,Never,7.0,106,8.8,73.5,True,4144,46.8,0
+1712,43,Male,122,96,164,61,68,175,109,5.4,26.6,84,183,Asymptomatic,False,1.1,False,Never,7.8,195,5.7,39.7,True,6958,61.9,0
+1713,58,Male,120,86,204,62,106,145,87,5.4,30.7,83,155,Asymptomatic,False,1.4,False,Former,2.6,196,6.6,29.3,True,8142,91.4,1
+1714,81,Male,146,92,201,49,123,133,148,6.5,36.2,111,113,Non-Anginal Pain,True,1.6,False,Current,2.2,0,6.8,83.7,False,4384,42.0,1
+1715,54,Male,114,73,190,34,118,176,89,5.0,23.7,84,137,Atypical Angina,True,4.1,False,Current,2.0,136,6.3,32.7,True,10145,68.8,1
+1716,73,Male,166,112,210,42,154,44,122,5.6,23.5,98,144,Asymptomatic,True,4.4,False,Never,17.1,115,7.7,73.5,False,8733,47.0,1
+1717,42,Male,123,77,211,52,125,170,123,6.2,22.9,73,172,Asymptomatic,False,0.6,False,Never,2.1,181,7.0,39.1,True,7588,50.8,0
+1718,48,Female,138,92,221,59,146,128,89,4.6,18.3,82,168,Asymptomatic,False,1.0,False,Former,8.9,167,7.0,61.2,True,7920,42.9,0
+1719,53,Female,130,73,147,52,74,143,145,6.6,24.4,99,150,Non-Anginal Pain,False,3.9,True,Former,1.9,7,5.7,37.7,True,6436,34.7,1
+1720,47,Male,127,84,214,52,128,198,151,6.9,36.0,94,164,Asymptomatic,False,1.2,True,Former,14.8,183,5.5,41.8,True,8883,72.8,1
+1721,58,Male,104,61,174,37,103,169,143,6.3,28.7,92,191,Asymptomatic,False,1.6,False,Current,3.5,164,6.8,33.4,True,5691,64.8,0
+1722,31,Male,132,76,177,49,97,151,122,5.9,25.0,84,191,Asymptomatic,False,0.6,False,Current,7.2,167,6.8,44.9,False,8167,60.0,0
+1723,40,Male,119,79,198,45,142,132,103,5.1,29.2,83,171,Asymptomatic,False,0.9,False,Never,3.8,109,7.0,67.6,False,7944,62.8,0
+1724,71,Female,155,100,149,36,98,68,140,6.1,23.9,86,131,Asymptomatic,False,0.2,False,Current,9.4,102,7.8,54.8,True,5238,42.6,0
+1725,55,Female,128,76,211,66,117,143,84,4.3,18.8,79,181,Asymptomatic,False,1.7,True,Former,3.6,257,6.4,47.9,False,4485,56.7,0
+1726,60,Female,111,74,131,64,53,38,108,5.5,19.6,88,139,Asymptomatic,False,0.9,False,Current,9.1,108,5.9,56.2,False,6369,78.1,0
+1727,76,Male,109,81,210,36,144,118,128,6.7,19.9,74,133,Asymptomatic,False,2.6,True,Never,5.5,0,5.9,26.7,False,500,35.8,1
+1728,31,Female,104,63,181,54,100,103,63,4.1,24.1,79,193,Atypical Angina,False,0.4,False,Never,12.6,174,6.8,56.4,False,7695,63.9,0
+1729,18,Male,94,65,172,52,82,184,108,5.5,16.2,76,210,Asymptomatic,False,1.8,False,Former,4.3,174,6.5,61.2,True,4607,61.6,0
+1730,77,Male,135,91,150,63,58,126,122,5.5,17.0,82,147,Asymptomatic,False,0.3,False,Never,10.3,75,7.5,43.8,False,5405,57.0,0
+1731,36,Male,103,72,123,48,52,83,140,6.0,18.8,74,172,Non-Anginal Pain,False,1.2,False,Former,5.6,157,7.6,57.2,False,3700,61.0,0
+1732,55,Male,144,97,211,34,120,230,144,6.7,32.6,81,181,Asymptomatic,False,0.9,False,Never,14.5,107,5.5,41.6,False,7320,50.0,0
+1733,33,Female,93,53,230,79,93,249,77,4.0,15.3,62,192,Asymptomatic,False,0.2,False,Former,7.7,161,7.2,43.2,True,4236,53.7,0
+1734,21,Female,136,93,179,38,105,198,119,5.7,31.4,78,208,Non-Anginal Pain,False,1.2,True,Current,5.8,131,6.3,59.3,False,7427,33.8,0
+1735,53,Male,131,82,178,61,76,199,83,5.2,20.6,93,183,Non-Anginal Pain,False,2.7,False,Never,7.2,155,7.3,45.3,True,5794,69.9,0
+1736,60,Female,121,76,163,55,83,90,118,5.2,20.1,80,164,Asymptomatic,False,2.3,False,Current,5.9,172,7.5,21.5,False,5674,65.2,0
+1737,43,Male,128,85,170,32,96,208,135,6.0,27.3,90,148,Asymptomatic,False,0.7,False,Former,2.7,174,6.0,30.8,True,9432,38.4,1
+1738,21,Male,126,83,185,57,86,196,95,5.0,23.3,74,210,Atypical Angina,False,0.9,False,Never,1.8,220,7.6,21.8,True,8655,51.5,0
+1739,58,Male,135,87,231,52,156,121,114,5.9,22.0,84,193,Atypical Angina,False,2.0,False,Never,7.0,70,5.6,51.1,False,4965,60.5,0
+1740,78,Male,125,74,173,39,108,107,135,6.3,23.9,85,136,Asymptomatic,True,1.4,True,Never,2.1,172,7.6,43.3,True,8698,48.3,1
+1741,31,Male,117,87,228,53,116,234,129,6.0,24.4,74,183,Asymptomatic,True,2.8,False,Never,12.2,192,7.4,29.1,False,7464,63.1,1
+1742,64,Male,140,95,209,74,82,173,131,6.1,22.5,82,150,Atypical Angina,False,1.8,False,Former,5.5,73,8.3,66.2,False,3894,62.3,0
+1743,57,Female,143,92,167,75,82,59,134,5.9,22.8,76,158,Asymptomatic,False,0.7,False,Former,0.2,116,8.8,63.9,True,5932,62.6,0
+1744,30,Male,98,69,147,56,60,128,108,5.6,17.2,83,199,Asymptomatic,False,0.5,False,Never,2.7,152,8.1,44.2,True,5735,69.0,0
+1745,67,Female,129,80,199,61,122,72,92,5.0,21.5,79,131,Asymptomatic,False,0.7,False,Never,0.0,127,7.5,54.6,True,4764,44.8,0
+1746,56,Male,133,75,219,49,123,188,156,6.8,27.1,86,152,Asymptomatic,True,1.0,True,Current,13.5,126,5.2,28.2,False,6341,46.0,1
+1747,52,Male,120,81,204,65,100,156,93,5.6,28.1,90,164,Typical Angina,True,0.4,False,Former,2.0,150,6.2,38.8,False,6443,41.2,1
+1748,70,Female,135,82,175,33,109,174,140,6.7,28.6,78,138,Non-Anginal Pain,False,0.6,False,Former,4.5,25,8.3,69.6,False,2107,56.0,1
+1749,54,Female,124,78,199,38,120,198,142,6.8,30.5,91,158,Asymptomatic,False,0.0,False,Current,4.2,77,5.0,48.0,False,4853,71.9,0
+1750,70,Female,125,75,197,44,119,161,147,6.3,30.6,90,149,Asymptomatic,True,2.9,True,Former,6.5,143,5.5,46.7,True,6576,63.0,1
+1751,88,Male,145,91,228,80,118,160,155,7.1,23.2,81,128,Non-Anginal Pain,True,0.4,False,Never,2.6,72,6.7,46.9,False,3273,51.2,1
+1752,57,Female,129,79,189,46,114,177,174,7.1,29.9,76,167,Asymptomatic,False,0.9,True,Never,3.1,120,8.1,53.7,False,3511,59.3,0
+1753,59,Female,113,58,276,85,167,177,84,4.8,19.3,82,178,Asymptomatic,False,1.0,False,Current,3.0,274,6.8,34.7,True,9030,71.4,0
+1754,46,Male,138,81,176,53,81,181,157,7.0,21.1,86,155,Non-Anginal Pain,True,0.2,False,Never,10.3,185,6.0,72.1,True,7591,79.4,1
+1755,74,Female,107,66,170,48,92,108,115,5.2,18.5,88,153,Asymptomatic,False,0.3,False,Former,2.2,166,4.7,19.1,False,8352,46.5,0
+1756,38,Female,110,64,188,63,97,121,106,6.2,28.4,100,188,Asymptomatic,True,0.2,True,Current,0.8,17,6.0,83.6,False,3378,53.1,0
+1757,47,Female,101,62,165,60,93,53,109,5.8,20.5,97,168,Asymptomatic,False,0.6,True,Never,0.4,25,5.8,49.5,False,2666,54.7,0
+1758,53,Male,122,67,147,39,89,125,79,4.5,23.8,78,185,Non-Anginal Pain,False,0.7,False,Former,1.9,213,6.7,22.5,True,10934,46.2,0
+1759,52,Female,128,74,127,58,56,138,112,5.9,24.6,81,183,Asymptomatic,False,0.9,False,Never,12.1,213,8.1,51.4,False,4283,67.6,0
+1760,45,Male,123,64,143,30,73,237,142,5.9,27.6,88,175,Asymptomatic,False,0.3,True,Current,2.1,159,7.1,47.8,True,9955,52.9,0
+1761,65,Female,132,87,167,71,70,111,140,6.2,24.5,85,158,Atypical Angina,False,3.7,False,Never,2.3,66,5.4,46.9,True,6556,70.4,0
+1762,50,Male,115,72,126,65,52,101,113,5.6,23.4,69,183,Non-Anginal Pain,False,1.2,False,Former,2.2,179,8.2,67.8,True,4808,87.8,0
+1763,26,Female,102,58,167,72,67,124,105,6.1,19.9,80,184,Asymptomatic,False,0.1,True,Current,2.8,152,5.3,40.4,True,4690,52.9,0
+1764,69,Female,147,87,218,45,101,390,157,6.5,41.2,87,150,Atypical Angina,False,4.0,False,Never,27.2,65,6.5,28.1,False,6721,59.5,1
+1765,76,Male,144,87,130,44,64,66,141,6.2,27.9,84,130,Asymptomatic,False,0.6,False,Never,2.2,45,8.5,62.9,True,1705,66.0,1
+1766,47,Female,118,82,200,85,101,137,112,5.7,31.6,102,182,Asymptomatic,False,0.2,False,Current,1.0,229,7.2,38.9,False,5180,57.8,0
+1767,72,Female,136,73,117,62,47,63,137,6.6,26.4,77,149,Non-Anginal Pain,False,0.9,True,Never,2.3,125,5.9,19.0,False,3602,63.6,0
+1768,47,Male,123,76,194,57,111,118,118,5.6,16.5,77,174,Atypical Angina,False,2.0,True,Never,2.3,174,7.4,56.6,True,6858,77.1,0
+1769,41,Male,122,77,193,60,100,117,107,5.5,22.8,67,172,Asymptomatic,False,1.2,True,Never,2.3,197,7.1,53.4,True,7890,62.9,0
+1770,42,Male,132,74,220,45,149,192,134,6.4,28.1,86,154,Asymptomatic,True,0.9,False,Never,3.3,53,6.6,58.8,True,5030,71.9,1
+1771,75,Male,121,83,179,53,117,35,155,6.4,21.7,99,121,Asymptomatic,True,1.7,True,Former,6.7,85,8.5,74.5,True,6108,62.8,1
+1772,72,Female,131,83,231,56,148,179,158,6.7,27.7,81,135,Asymptomatic,True,4.0,False,Never,1.1,189,6.8,32.8,True,6789,50.9,1
+1773,63,Male,133,81,221,60,131,132,77,4.7,24.5,83,189,Asymptomatic,False,1.5,False,Never,11.1,139,8.4,62.5,True,4891,71.0,0
+1774,41,Female,123,81,224,75,93,215,132,6.4,20.2,80,192,Atypical Angina,False,0.6,False,Never,4.9,197,6.3,26.4,True,5480,61.1,0
+1775,64,Female,121,80,188,53,107,104,100,4.8,20.8,92,165,Atypical Angina,True,1.0,True,Never,2.3,50,6.0,41.6,False,4951,27.5,0
+1776,40,Female,135,78,121,59,43,130,112,5.2,27.3,81,177,Asymptomatic,False,0.5,False,Former,1.5,196,7.7,60.3,True,5059,69.9,0
+1777,62,Male,134,79,214,45,134,166,150,6.4,25.5,86,133,Non-Anginal Pain,False,1.1,False,Never,5.3,153,8.1,30.4,True,8042,54.9,1
+1778,47,Female,118,72,153,62,85,51,138,5.7,23.9,85,182,Non-Anginal Pain,False,0.5,False,Never,1.4,155,9.1,27.7,False,6669,74.0,0
+1779,47,Female,127,80,166,66,86,35,122,5.9,18.7,84,187,Typical Angina,False,1.1,True,Never,10.3,178,6.5,56.9,True,5494,71.1,0
+1780,47,Female,125,96,206,72,99,122,101,5.5,21.5,70,185,Atypical Angina,False,0.0,False,Current,0.6,235,7.3,22.7,True,7803,62.2,0
+1781,27,Male,136,79,161,39,95,150,97,5.4,30.5,83,195,Asymptomatic,False,3.1,False,Never,2.8,131,8.0,41.2,False,8304,44.5,0
+1782,31,Female,111,55,227,42,142,226,160,6.7,33.8,84,170,Typical Angina,False,2.7,True,Current,6.8,132,7.4,65.3,False,5714,43.4,1
+1783,52,Female,126,94,245,59,146,201,138,6.4,31.6,77,173,Asymptomatic,False,0.6,False,Never,0.1,115,7.3,25.3,False,5170,59.0,0
+1784,40,Male,133,89,188,49,120,73,137,6.4,29.4,86,182,Non-Anginal Pain,True,0.1,True,Never,4.4,186,7.9,33.7,False,5771,41.2,0
+1785,65,Female,124,89,181,57,96,121,159,7.4,21.5,75,146,Asymptomatic,True,2.0,True,Former,2.4,57,8.3,42.9,False,5836,52.9,1
+1786,69,Male,122,90,238,54,147,142,175,6.4,24.7,73,129,Non-Anginal Pain,True,1.1,False,Never,1.7,78,9.3,22.9,True,3543,63.2,1
+1787,34,Male,122,79,218,68,105,177,139,6.0,27.6,85,201,Atypical Angina,False,0.3,False,Never,5.2,157,6.9,29.4,True,9231,91.3,0
+1788,34,Female,119,81,156,53,87,51,111,5.6,23.0,84,170,Atypical Angina,False,1.4,False,Former,1.8,123,7.2,57.2,False,6921,63.2,0
+1789,52,Female,135,80,185,56,68,223,124,5.6,28.0,76,138,Atypical Angina,True,2.7,False,Never,6.1,167,6.2,36.9,True,8712,71.2,1
+1790,79,Female,126,83,204,58,124,103,165,7.2,24.5,93,133,Asymptomatic,True,2.1,True,Never,4.2,67,8.0,20.0,False,4694,66.0,1
+1791,44,Male,125,66,187,34,153,136,104,5.5,36.9,104,149,Non-Anginal Pain,True,0.7,False,Current,2.6,147,8.0,75.9,True,5765,57.6,1
+1792,60,Male,144,108,224,61,127,215,142,6.2,29.1,85,175,Asymptomatic,False,1.3,False,Former,3.8,206,6.5,51.5,True,5507,59.7,0
+1793,32,Male,105,70,187,53,101,102,129,6.3,21.2,81,208,Non-Anginal Pain,False,0.7,False,Never,8.7,184,5.5,57.9,False,9443,77.0,0
+1794,42,Female,106,68,198,56,100,119,149,6.6,25.6,83,163,Typical Angina,False,0.4,True,Never,1.1,9,9.2,49.6,False,3715,75.9,1
+1795,60,Male,143,85,183,57,107,136,115,5.2,25.3,102,136,Non-Anginal Pain,False,0.6,True,Current,4.8,241,6.2,58.6,True,10640,52.7,1
+1796,51,Male,112,58,272,53,173,161,96,5.8,23.0,84,144,Asymptomatic,False,2.4,True,Current,2.9,93,6.8,41.4,True,5979,64.3,1
+1797,60,Male,131,91,165,36,91,232,143,6.8,24.1,84,164,Asymptomatic,False,0.3,True,Never,12.3,112,7.4,69.2,False,6519,40.7,0
+1798,55,Female,137,86,285,54,179,233,107,5.4,30.6,76,140,Asymptomatic,False,0.1,False,Former,2.3,244,6.1,47.7,True,5686,54.1,0
+1799,54,Female,120,75,212,56,131,164,109,5.1,22.5,84,174,Non-Anginal Pain,False,0.4,False,Never,6.5,165,8.4,65.1,False,4364,61.2,0
+1800,53,Male,125,78,246,68,140,210,90,5.2,22.3,74,185,Typical Angina,False,2.5,False,Never,10.3,171,6.1,32.4,True,5977,76.3,0
+1801,72,Male,141,92,209,53,91,292,89,5.1,26.7,71,147,Asymptomatic,False,0.5,False,Never,16.6,156,6.3,92.7,False,1765,66.4,1
+1802,53,Female,135,75,128,55,43,107,168,7.2,26.8,80,184,Non-Anginal Pain,False,0.6,False,Never,3.5,91,7.0,57.1,True,993,72.1,0
+1803,65,Male,123,74,191,59,122,69,103,5.6,20.2,63,149,Non-Anginal Pain,False,0.9,False,Former,8.1,185,6.5,35.2,True,8168,62.5,0
+1804,50,Female,127,90,157,50,88,66,124,6.0,24.6,100,174,Asymptomatic,False,0.1,False,Never,5.1,143,6.7,48.7,False,3954,65.4,0
+1805,55,Male,123,73,209,42,144,154,145,7.1,26.5,92,156,Non-Anginal Pain,True,0.1,False,Never,3.2,191,6.1,10.2,False,6052,58.9,0
+1806,40,Female,124,84,140,70,68,66,127,5.4,27.1,86,165,Asymptomatic,False,0.5,False,Never,8.4,173,6.8,57.6,True,4880,66.2,0
+1807,26,Male,126,84,186,50,96,200,146,6.8,25.5,74,162,Asymptomatic,False,0.2,True,Current,8.1,151,6.5,35.6,True,5960,63.7,0
+1808,48,Male,113,77,167,50,91,137,152,7.0,28.3,87,166,Typical Angina,False,1.3,False,Never,10.3,244,9.0,33.2,False,10335,84.0,0
+1809,55,Female,119,80,212,60,129,103,126,6.2,26.1,69,166,Non-Anginal Pain,False,1.4,False,Never,4.0,161,7.4,33.7,False,4988,46.7,0
+1810,47,Female,138,83,156,46,89,167,131,5.8,26.7,83,164,Asymptomatic,False,0.1,False,Never,2.2,180,6.7,34.0,True,6752,57.8,0
+1811,61,Male,130,84,200,55,110,162,124,6.5,27.0,75,146,Atypical Angina,False,2.0,False,Never,2.6,118,6.2,46.8,False,2284,63.0,1
+1812,43,Female,131,76,205,44,127,158,86,4.7,26.8,85,205,Asymptomatic,True,0.3,True,Current,4.3,206,7.8,37.7,True,9876,66.7,0
+1813,35,Male,141,104,182,55,83,200,116,5.8,30.0,85,154,Atypical Angina,True,2.0,True,Never,4.2,134,6.2,64.2,False,7439,51.7,1
+1814,34,Male,130,72,152,46,85,155,115,5.5,24.3,72,195,Non-Anginal Pain,False,1.2,False,Never,8.6,206,7.6,27.6,True,7979,72.8,0
+1815,62,Male,136,98,155,46,85,107,124,5.8,25.8,84,157,Atypical Angina,False,0.2,True,Never,5.8,114,7.4,64.5,True,9277,48.2,1
+1816,43,Male,125,84,201,62,106,145,100,5.1,23.1,76,197,Asymptomatic,False,0.1,False,Current,9.8,159,6.0,39.4,True,9843,42.7,0
+1817,53,Male,117,75,163,49,97,110,105,5.1,25.9,67,153,Non-Anginal Pain,False,0.9,False,Former,1.7,242,7.9,42.1,False,8378,56.0,0
+1818,35,Male,125,79,169,48,93,130,97,5.3,26.0,65,207,Asymptomatic,False,0.4,False,Never,1.9,79,5.4,17.1,True,5242,58.9,0
+1819,42,Female,143,103,203,76,103,155,104,5.2,25.8,68,180,Atypical Angina,False,1.4,False,Former,0.2,126,6.6,57.2,False,7949,79.6,0
+1820,53,Female,147,88,208,43,135,174,132,6.1,27.6,69,143,Non-Anginal Pain,False,1.5,False,Current,8.1,76,3.5,63.9,True,4325,47.6,1
+1821,67,Male,131,75,206,55,121,129,125,6.5,28.0,73,162,Asymptomatic,False,0.6,False,Never,9.0,149,7.9,38.3,False,8479,65.6,0
+1822,39,Male,128,83,157,62,73,128,107,5.3,26.0,67,196,Non-Anginal Pain,False,0.6,False,Never,6.6,264,6.0,18.8,True,11751,67.2,0
+1823,34,Male,103,55,194,62,86,175,137,6.3,23.9,90,184,Non-Anginal Pain,False,0.9,False,Former,12.9,127,6.7,45.7,True,8804,45.2,0
+1824,53,Male,138,90,167,59,83,168,147,6.1,28.2,88,161,Non-Anginal Pain,False,0.6,False,Never,3.9,94,7.6,46.6,False,4339,72.4,0
+1825,55,Female,101,64,125,62,54,56,88,4.9,27.7,82,189,Asymptomatic,False,1.2,False,Current,0.8,149,5.2,17.1,True,7543,55.8,0
+1826,47,Male,135,86,144,44,90,161,70,4.7,31.7,85,200,Non-Anginal Pain,False,0.1,False,Never,3.1,157,6.9,66.5,False,3550,58.4,0
+1827,69,Male,118,74,168,58,82,164,95,5.3,21.0,90,143,Atypical Angina,False,0.1,True,Never,3.3,166,6.9,17.2,False,3853,92.7,0
+1828,31,Male,124,68,191,56,88,225,137,6.2,25.5,79,167,Non-Anginal Pain,True,0.5,False,Current,6.6,157,6.6,74.6,True,6649,71.7,1
+1829,42,Male,125,90,212,54,131,156,105,5.4,29.8,74,180,Asymptomatic,False,1.0,False,Never,9.0,162,8.3,63.7,False,5992,55.8,0
+1830,53,Female,128,86,191,65,111,113,153,7.0,20.2,68,182,Asymptomatic,False,1.8,False,Never,4.3,174,7.6,68.9,True,5746,72.7,0
+1831,42,Female,118,66,137,64,69,35,134,6.3,20.2,74,167,Asymptomatic,False,0.3,False,Former,0.1,105,8.0,63.9,False,8590,95.7,0
+1832,57,Female,130,86,228,64,161,102,118,5.3,29.5,104,175,Asymptomatic,False,2.8,False,Current,17.0,117,6.0,56.3,True,5040,49.2,0
+1833,53,Female,127,79,222,66,148,102,107,5.7,19.4,67,160,Atypical Angina,True,3.0,False,Never,6.3,250,7.7,60.4,True,6280,38.6,1
+1834,50,Male,145,88,174,36,121,99,110,5.4,18.6,90,176,Atypical Angina,True,0.6,True,Former,5.4,204,4.0,63.2,False,8861,86.3,1
+1835,84,Female,127,70,222,60,141,129,119,6.0,22.3,81,124,Non-Anginal Pain,True,1.6,False,Never,5.1,175,7.3,50.0,True,5061,46.4,1
+1836,40,Male,119,68,177,65,51,230,82,5.2,24.0,69,173,Asymptomatic,False,0.8,False,Never,9.7,193,7.0,43.9,True,8778,59.4,0
+1837,50,Male,135,83,175,42,103,153,86,5.3,30.4,83,137,Asymptomatic,False,0.2,False,Never,2.7,0,6.7,50.7,False,1608,35.1,1
+1838,59,Male,128,79,167,35,97,137,126,5.7,18.0,68,119,Asymptomatic,True,1.9,False,Former,4.0,189,4.6,51.4,True,5877,49.2,1
+1839,43,Male,112,64,177,50,102,184,99,5.1,17.0,81,179,Atypical Angina,False,0.9,True,Current,2.5,218,8.1,52.2,True,6493,57.8,0
+1840,55,Male,114,81,231,60,140,201,114,6.0,21.7,87,188,Asymptomatic,True,0.7,False,Never,3.9,87,6.7,27.5,True,6699,56.5,0
+1841,64,Female,121,69,222,77,113,120,137,6.7,27.0,76,151,Asymptomatic,True,0.9,True,Never,2.5,135,5.7,29.6,True,5793,50.2,1
+1842,56,Female,129,73,221,55,136,210,148,6.5,31.0,90,152,Typical Angina,False,0.3,False,Current,5.8,242,6.6,52.6,False,4426,45.1,1
+1843,63,Female,133,88,208,54,136,117,100,4.9,21.2,81,143,Atypical Angina,True,1.6,False,Never,0.8,144,6.4,62.2,False,3350,62.5,1
+1844,48,Male,105,71,194,71,91,194,122,5.7,28.2,75,162,Asymptomatic,False,0.0,True,Never,2.2,88,5.7,68.0,False,5690,64.7,0
+1845,50,Female,116,83,205,59,121,129,128,6.8,33.3,88,164,Non-Anginal Pain,False,0.9,False,Never,0.3,194,6.9,39.5,False,6762,50.2,0
+1846,78,Male,151,97,171,47,100,141,129,6.2,28.2,88,124,Atypical Angina,True,0.2,False,Never,8.3,90,7.6,60.8,False,5466,40.4,1
+1847,59,Female,109,62,186,50,98,133,101,5.3,23.6,69,162,Typical Angina,True,1.7,False,Former,3.0,178,5.8,39.7,False,7270,57.3,0
+1848,66,Male,122,82,161,51,76,224,105,4.7,24.3,78,136,Asymptomatic,False,0.2,False,Never,7.0,143,5.3,54.0,False,5604,76.4,0
+1849,44,Female,116,74,241,68,124,231,124,6.0,23.9,84,184,Atypical Angina,False,0.6,False,Never,2.3,173,8.6,60.5,True,7862,41.2,0
+1850,50,Female,132,76,203,73,87,191,129,5.9,26.3,71,172,Atypical Angina,False,0.5,False,Current,5.1,148,7.8,58.2,True,6891,44.6,0
+1851,68,Male,141,87,201,61,109,184,142,6.4,18.4,87,140,Typical Angina,False,1.6,False,Current,4.2,92,6.6,85.0,False,7768,55.6,1
+1852,54,Female,135,84,174,69,76,103,123,6.2,22.5,83,164,Atypical Angina,False,2.4,False,Never,1.9,150,9.4,41.7,True,8540,65.4,0
+1853,37,Male,108,71,136,47,58,145,60,4.4,20.0,71,206,Asymptomatic,False,0.7,True,Current,3.3,111,7.2,21.2,False,2839,41.8,0
+1854,41,Female,124,76,193,71,84,158,129,6.3,19.1,95,209,Atypical Angina,False,1.0,False,Never,19.4,134,8.0,51.7,True,7935,61.4,0
+1855,52,Female,123,77,225,47,139,150,99,4.8,18.7,89,196,Atypical Angina,False,0.6,False,Never,3.5,161,6.2,53.0,False,8408,43.9,0
+1856,73,Female,131,84,119,43,62,104,118,5.6,26.1,71,141,Asymptomatic,False,0.7,False,Never,2.6,74,6.6,58.9,True,5288,70.9,0
+1857,60,Female,108,68,219,82,86,218,135,6.2,21.1,70,152,Non-Anginal Pain,False,0.3,False,Former,7.0,283,9.0,72.2,True,6724,55.5,0
+1858,43,Female,115,64,192,48,125,145,101,5.0,21.2,73,179,Asymptomatic,False,1.8,False,Never,6.8,97,7.7,53.8,False,8043,85.9,0
+1859,53,Male,128,75,146,54,73,133,115,5.7,21.4,75,144,Asymptomatic,True,1.3,True,Former,15.8,113,6.0,47.2,True,9119,75.4,1
+1860,54,Male,118,86,178,49,87,230,120,6.0,26.5,65,154,Typical Angina,False,0.2,False,Former,4.7,54,5.7,51.1,False,2119,56.1,0
+1861,31,Male,129,85,205,65,91,193,121,6.1,25.8,79,210,Asymptomatic,False,1.7,False,Current,16.5,240,7.8,49.6,False,3941,51.9,0
+1862,53,Male,116,93,122,55,58,68,124,6.5,19.4,82,181,Asymptomatic,False,2.9,False,Former,6.9,172,8.3,34.3,True,5863,62.9,0
+1863,49,Female,147,93,189,64,84,228,156,6.9,25.2,77,153,Non-Anginal Pain,True,0.5,False,Former,9.7,152,5.5,57.6,False,7347,65.6,1
+1864,51,Female,131,70,174,58,79,214,143,6.4,32.8,86,164,Non-Anginal Pain,False,1.1,False,Never,6.0,199,5.3,52.6,True,12488,63.1,0
+1865,41,Male,129,78,220,60,115,171,69,4.6,30.0,82,169,Asymptomatic,False,0.9,False,Never,2.1,186,5.7,57.6,True,9948,61.7,0
+1866,58,Male,126,75,200,74,115,87,106,5.8,23.0,92,173,Non-Anginal Pain,True,0.5,False,Former,8.3,190,8.9,62.8,True,10411,85.0,0
+1867,48,Female,144,77,206,76,101,110,152,6.1,23.7,79,189,Non-Anginal Pain,False,1.2,True,Never,1.1,178,7.5,58.3,True,9644,100.0,0
+1868,43,Female,123,68,214,63,124,155,171,6.8,29.0,77,159,Typical Angina,True,0.7,False,Current,3.5,187,6.2,24.1,False,4143,64.8,1
+1869,77,Male,147,99,204,42,120,230,178,7.5,26.7,95,128,Asymptomatic,False,2.8,False,Current,5.7,50,8.6,65.7,True,4008,53.1,1
+1870,48,Male,128,71,187,53,82,223,108,5.1,30.0,84,183,Atypical Angina,False,0.6,False,Current,15.9,151,5.6,54.1,False,4286,51.9,0
+1871,35,Male,111,63,200,56,111,137,161,7.7,33.2,73,178,Asymptomatic,False,6.5,False,Former,1.6,176,8.1,36.4,True,6973,66.7,1
+1872,69,Female,126,78,224,37,138,222,107,5.6,29.9,78,135,Non-Anginal Pain,True,1.1,False,Former,13.3,116,7.3,79.8,False,6483,34.3,1
+1873,71,Female,130,81,192,60,100,174,145,6.8,25.1,76,147,Atypical Angina,False,0.2,False,Never,0.6,96,6.5,57.5,False,5097,67.1,0
+1874,41,Female,140,90,194,73,80,226,188,7.9,25.8,95,201,Asymptomatic,False,1.4,False,Never,18.1,111,7.2,61.9,True,6815,25.6,0
+1875,47,Female,127,81,111,39,51,156,89,5.2,27.5,84,173,Non-Anginal Pain,False,0.8,False,Never,9.0,156,6.5,43.0,True,6909,71.8,0
+1876,51,Female,150,109,133,73,63,64,126,5.8,26.7,91,180,Non-Anginal Pain,False,0.5,False,Never,4.4,208,6.7,30.1,False,3725,49.2,0
+1877,48,Male,122,78,144,57,75,119,101,5.3,25.0,69,159,Atypical Angina,False,0.2,True,Never,2.1,159,9.9,57.9,False,4144,87.5,0
+1878,35,Male,123,86,159,38,82,181,123,6.0,21.4,71,164,Non-Anginal Pain,True,0.2,False,Former,7.4,146,6.8,71.5,False,4251,76.0,0
+1879,39,Female,148,85,201,58,92,255,130,6.2,28.5,96,189,Asymptomatic,False,0.5,True,Former,16.7,87,4.7,69.0,True,4814,78.6,0
+1880,81,Female,125,75,158,54,98,35,159,7.0,19.9,66,134,Atypical Angina,False,0.3,False,Never,0.9,98,7.9,37.2,False,5695,84.9,0
+1881,45,Female,146,93,206,55,112,196,113,5.6,25.7,63,195,Asymptomatic,True,0.6,False,Former,8.0,188,6.4,41.5,True,8183,55.0,0
+1882,46,Female,113,64,153,44,76,131,124,6.5,27.0,74,167,Typical Angina,False,0.6,False,Current,11.1,254,6.6,0.0,True,8941,49.6,0
+1883,63,Male,135,74,230,47,155,137,99,4.8,21.7,64,143,Non-Anginal Pain,False,1.5,False,Current,4.1,177,9.1,65.3,True,8540,56.8,0
+1884,47,Male,104,78,260,67,163,173,112,5.7,24.5,73,183,Atypical Angina,False,2.1,False,Never,4.2,117,7.1,11.1,False,5567,47.2,0
+1885,44,Female,120,71,206,59,117,142,95,5.1,22.8,75,191,Non-Anginal Pain,False,0.4,True,Former,0.2,235,6.0,24.9,False,4661,46.4,1
+1886,39,Male,128,94,204,57,131,138,150,6.3,16.2,75,183,Non-Anginal Pain,False,0.5,False,Current,5.8,124,6.0,36.7,False,7452,57.7,0
+1887,60,Male,130,95,231,78,122,129,138,6.4,24.3,74,136,Atypical Angina,False,1.7,False,Never,5.4,161,6.8,52.8,True,8759,66.9,1
+1888,56,Male,142,91,157,34,73,192,88,5.3,22.3,94,181,Asymptomatic,False,0.4,False,Never,3.4,30,7.6,69.6,False,4346,76.0,0
+1889,68,Female,120,86,172,75,69,132,138,6.8,24.5,79,172,Asymptomatic,False,0.3,False,Never,1.1,162,7.8,33.4,False,5405,69.5,0
+1890,47,Male,127,76,186,73,85,199,119,5.4,22.8,71,146,Asymptomatic,True,0.5,True,Former,8.9,116,8.7,58.8,True,5300,83.0,1
+1891,70,Male,134,82,196,52,123,135,116,5.9,21.1,82,112,Asymptomatic,False,0.3,False,Current,5.6,28,7.7,40.6,False,4100,56.3,1
+1892,55,Female,136,81,192,37,110,197,121,6.1,28.4,85,153,Atypical Angina,False,0.5,False,Current,2.9,34,8.4,45.2,False,7131,33.1,1
+1893,46,Female,120,72,218,58,135,218,155,7.1,27.0,63,164,Typical Angina,False,0.5,False,Never,11.1,180,6.1,68.5,False,4756,80.4,0
+1894,59,Male,139,86,236,61,126,251,125,5.9,25.6,92,151,Asymptomatic,False,0.2,False,Never,18.2,77,6.3,56.1,False,8594,59.9,0
+1895,57,Male,145,86,197,52,110,158,111,5.9,23.7,71,157,Typical Angina,False,0.3,False,Current,6.3,125,7.5,47.4,False,2452,50.9,1
+1896,57,Female,139,97,157,54,84,120,137,6.3,24.9,74,166,Non-Anginal Pain,False,2.6,False,Former,5.3,173,6.4,24.7,True,8116,62.5,0
+1897,43,Male,133,80,167,60,82,140,133,6.4,28.5,81,178,Non-Anginal Pain,False,0.6,False,Never,4.4,197,7.1,60.0,True,9994,53.2,0
+1898,52,Male,105,74,167,47,109,136,137,7.0,27.9,88,169,Non-Anginal Pain,True,1.3,False,Never,3.2,62,6.8,90.0,False,7599,24.1,1
+1899,50,Male,110,70,123,44,70,96,92,5.3,24.3,92,159,Atypical Angina,True,1.7,False,Current,2.0,70,7.8,71.6,False,1864,57.0,1
+1900,63,Female,124,84,170,37,109,81,118,5.8,27.0,91,159,Typical Angina,True,1.4,False,Never,5.5,106,6.3,47.2,True,7167,44.1,1
+1901,70,Female,127,76,174,52,87,230,164,7.4,32.7,72,167,Asymptomatic,True,1.3,True,Never,0.2,122,7.2,49.0,False,6249,54.5,0
+1902,64,Male,125,75,183,43,103,185,103,5.3,31.1,76,156,Non-Anginal Pain,True,1.3,False,Never,1.8,162,8.0,48.8,True,7174,59.2,1
+1903,63,Female,114,75,215,80,115,55,108,5.4,18.8,81,147,Asymptomatic,False,1.3,False,Former,3.6,184,4.2,44.0,False,5982,65.6,0
+1904,67,Male,133,97,253,63,151,191,143,6.4,22.4,81,161,Asymptomatic,False,1.8,False,Never,12.1,148,9.2,19.1,False,6650,72.2,0
+1905,69,Female,150,94,210,54,124,145,119,5.9,29.8,90,143,Asymptomatic,True,0.1,False,Former,1.0,130,7.9,52.0,False,7081,64.1,1
+1906,48,Female,132,72,206,52,132,144,125,5.9,29.7,89,158,Atypical Angina,False,0.7,False,Never,6.9,86,8.0,66.3,True,7981,46.8,0
+1907,38,Male,134,82,184,35,126,133,117,5.3,29.0,73,155,Typical Angina,True,4.7,True,Former,1.8,13,7.5,51.1,False,3352,29.7,1
+1908,55,Male,136,87,200,72,121,81,129,6.7,17.3,53,191,Atypical Angina,True,1.6,False,Former,2.7,291,7.1,49.6,False,7219,89.3,0
+1909,73,Female,113,64,215,73,97,180,156,6.9,21.7,78,149,Asymptomatic,False,0.2,False,Current,4.2,182,6.5,48.8,True,10129,56.6,0
+1910,37,Female,116,75,186,64,92,159,121,5.6,21.1,76,178,Typical Angina,False,0.1,False,Never,5.8,144,6.1,49.3,True,7790,38.2,0
+1911,41,Male,124,76,243,48,149,194,106,5.1,34.6,77,161,Asymptomatic,False,1.0,False,Never,2.1,108,7.4,55.0,True,8822,68.0,1
+1912,54,Male,146,92,189,51,106,148,109,5.5,34.2,76,171,Asymptomatic,True,0.9,True,Never,16.3,133,9.2,37.9,False,5260,65.6,0
+1913,46,Female,104,65,216,52,110,199,133,6.3,23.8,77,162,Asymptomatic,False,0.3,False,Former,5.3,131,6.0,44.7,False,7346,75.0,0
+1914,66,Male,129,91,227,56,153,99,138,6.4,15.0,88,136,Asymptomatic,False,3.6,False,Current,2.6,148,7.3,60.4,True,7266,37.7,1
+1915,54,Female,124,86,207,35,127,216,120,5.3,31.2,105,144,Typical Angina,False,0.3,False,Current,1.3,0,7.7,67.0,False,6942,44.8,1
+1916,64,Female,134,84,190,59,102,177,127,5.9,19.1,83,158,Non-Anginal Pain,True,0.3,False,Former,0.1,200,6.1,32.2,True,4289,58.8,0
+1917,57,Female,141,91,219,68,114,171,109,5.4,30.3,80,175,Asymptomatic,False,0.9,True,Never,16.5,79,6.6,58.0,False,4663,45.1,0
+1918,58,Female,161,99,187,44,93,236,162,6.9,25.5,80,151,Non-Anginal Pain,True,1.9,True,Never,7.0,164,5.9,66.6,True,6897,47.7,1
+1919,38,Female,118,83,250,46,146,248,106,5.6,27.4,80,210,Non-Anginal Pain,False,0.2,False,Never,4.2,100,6.1,55.2,True,8905,59.1,0
+1920,45,Female,121,72,185,46,97,142,146,6.6,25.1,84,162,Non-Anginal Pain,False,0.5,True,Never,13.8,48,4.8,41.3,False,5161,40.7,1
+1921,28,Female,101,59,164,70,82,100,126,7.0,23.3,78,191,Asymptomatic,False,0.8,True,Never,0.9,156,6.5,53.3,True,9221,66.9,0
+1922,43,Female,127,85,124,59,52,92,106,4.9,15.0,79,169,Atypical Angina,False,0.2,False,Never,1.9,258,6.0,38.6,True,5875,60.3,0
+1923,46,Female,139,97,213,35,123,180,113,5.7,34.5,95,171,Non-Anginal Pain,True,0.8,True,Never,9.9,101,7.2,38.3,True,6152,54.1,0
+1924,58,Male,151,103,156,52,70,153,121,6.4,27.7,82,142,Typical Angina,False,1.0,True,Never,2.5,51,7.2,51.5,False,3519,71.3,1
+1925,38,Female,110,77,150,54,55,166,129,5.7,21.7,74,189,Asymptomatic,False,1.0,False,Never,16.5,134,5.7,41.3,True,11032,65.6,0
+1926,76,Female,153,86,214,57,137,140,122,6.7,28.9,77,170,Non-Anginal Pain,False,0.0,False,Never,2.8,157,6.7,44.5,False,3070,59.8,0
+1927,69,Female,141,67,169,20,104,233,116,6.1,32.8,76,129,Atypical Angina,True,1.3,False,Current,6.7,105,7.6,61.8,False,4545,55.4,1
+1928,40,Female,133,79,221,47,136,187,89,5.1,29.1,90,196,Asymptomatic,False,1.1,True,Current,1.4,123,8.3,57.2,False,4586,32.5,0
+1929,29,Male,104,72,149,54,79,62,83,4.2,19.0,79,180,Asymptomatic,True,1.5,False,Current,3.2,104,8.0,75.4,True,9509,63.4,0
+1930,32,Male,127,85,160,58,90,143,114,5.4,26.3,87,185,Asymptomatic,False,2.3,True,Never,7.1,161,8.0,54.7,False,7292,58.9,0
+1931,57,Female,107,61,188,65,106,102,66,4.2,16.4,77,180,Asymptomatic,False,1.2,False,Never,1.1,148,7.2,37.1,False,4860,60.3,0
+1932,37,Male,128,78,146,53,94,35,127,5.6,20.2,82,195,Typical Angina,True,3.0,True,Never,2.6,85,8.5,43.7,False,4375,77.2,1
+1933,49,Male,131,75,243,70,135,228,129,5.8,22.2,81,158,Asymptomatic,True,1.2,False,Former,5.1,134,7.6,65.9,True,10174,65.9,1
+1934,60,Male,132,87,224,58,158,128,115,5.1,24.3,86,128,Non-Anginal Pain,True,1.4,True,Former,7.7,145,6.0,34.2,False,4750,89.0,1
+1935,58,Male,121,80,230,56,144,148,111,6.3,23.3,75,170,Typical Angina,True,0.9,False,Never,4.8,270,5.4,48.3,True,5129,65.2,1
+1936,63,Female,155,90,249,51,151,150,141,6.7,34.2,98,154,Asymptomatic,True,0.4,False,Never,3.8,141,8.9,23.4,False,2969,51.7,0
+1937,36,Female,113,74,169,52,90,139,93,5.4,22.0,75,203,Asymptomatic,False,0.5,True,Never,4.2,178,8.5,29.7,True,7157,76.0,0
+1938,62,Male,127,80,168,46,83,179,130,5.9,21.7,74,174,Asymptomatic,False,1.3,False,Former,5.2,135,6.5,31.6,False,5790,57.3,0
+1939,62,Female,163,106,170,56,91,78,107,5.5,21.1,66,147,Asymptomatic,False,0.5,False,Never,7.9,145,5.3,50.4,False,9619,70.8,0
+1940,66,Female,119,73,242,68,149,117,139,6.2,20.4,81,168,Non-Anginal Pain,False,0.9,False,Never,1.9,164,7.0,24.6,True,7928,48.4,0
+1941,64,Male,124,80,170,49,99,89,106,5.2,19.5,69,153,Asymptomatic,False,0.2,False,Current,2.0,322,8.4,20.3,True,7642,78.7,0
+1942,37,Male,109,70,201,58,106,194,151,6.6,31.0,73,186,Asymptomatic,True,0.0,False,Never,3.4,162,6.7,37.3,True,9652,48.1,0
+1943,21,Female,103,63,207,80,93,202,81,4.3,29.2,83,171,Non-Anginal Pain,False,0.7,True,Never,2.4,234,7.9,31.1,True,9192,74.2,0
+1944,58,Male,133,76,190,48,116,146,76,4.9,21.4,74,159,Asymptomatic,True,1.6,True,Current,7.3,150,6.4,37.7,False,4648,49.7,1
+1945,74,Female,143,86,268,62,151,260,135,6.0,32.1,82,141,Non-Anginal Pain,True,0.5,False,Current,16.2,122,9.8,34.4,True,7920,32.2,1
+1946,43,Female,122,67,195,62,94,150,73,4.1,25.3,70,166,Asymptomatic,False,0.3,False,Current,0.4,222,8.3,44.6,True,9983,55.9,0
+1947,43,Female,130,88,206,58,124,144,170,7.0,32.8,88,178,Asymptomatic,False,0.3,False,Never,2.6,109,7.3,55.3,False,3151,53.1,0
+1948,55,Male,125,85,185,51,80,193,128,5.5,27.4,83,192,Asymptomatic,False,0.3,False,Former,12.5,122,5.1,42.0,False,4601,63.4,0
+1949,67,Female,130,81,170,59,81,152,81,5.0,27.5,68,133,Non-Anginal Pain,False,0.4,True,Current,4.6,145,6.0,78.8,True,7207,73.0,0
+1950,63,Female,125,82,144,39,68,178,114,5.8,25.2,99,148,Non-Anginal Pain,True,1.8,False,Former,4.2,66,6.0,53.1,True,3801,37.6,1
+1951,38,Female,111,63,254,79,113,297,158,7.3,27.1,83,196,Asymptomatic,False,0.2,False,Never,16.2,177,6.6,31.9,False,5239,40.4,0
+1952,48,Female,121,73,192,48,118,164,121,6.4,25.2,86,140,Asymptomatic,False,0.7,False,Never,7.3,42,7.4,43.0,False,5447,37.0,1
+1953,46,Female,119,75,202,62,112,159,159,6.5,30.7,74,192,Asymptomatic,False,0.6,False,Never,4.2,165,5.9,27.9,True,8213,56.2,0
+1954,61,Male,108,77,180,70,88,174,125,5.1,24.3,98,166,Non-Anginal Pain,False,0.1,False,Former,4.0,135,7.3,48.4,True,9001,38.9,0
+1955,63,Female,119,80,157,50,93,102,105,5.8,30.0,74,156,Asymptomatic,False,0.3,True,Never,0.4,158,6.1,60.3,False,5451,52.3,0
+1956,42,Male,131,85,148,58,52,194,156,7.1,26.6,68,184,Atypical Angina,False,0.6,False,Never,14.1,132,6.5,50.4,True,5779,68.7,0
+1957,43,Male,143,92,134,44,65,138,121,5.8,22.5,66,175,Typical Angina,False,6.5,False,Former,2.9,126,7.6,69.1,False,7307,56.6,1
+1958,57,Male,104,76,224,51,123,223,148,6.5,28.3,79,178,Atypical Angina,False,2.3,False,Former,11.7,114,6.1,35.7,False,3685,24.4,0
+1959,50,Male,133,96,179,61,92,114,111,5.4,23.8,94,166,Asymptomatic,False,0.4,False,Current,3.1,97,7.0,56.0,False,5839,57.5,0
+1960,43,Male,105,76,186,57,91,233,103,5.4,27.1,82,161,Asymptomatic,True,0.1,False,Current,7.2,131,6.6,34.0,True,5868,59.8,1
+1961,47,Male,146,88,190,59,79,216,157,6.7,28.9,89,146,Typical Angina,False,0.7,False,Never,9.2,70,7.0,56.1,True,4530,71.2,1
+1962,61,Female,139,95,198,42,108,224,62,4.8,28.8,77,168,Asymptomatic,False,0.5,True,Never,0.9,129,5.1,18.2,True,5697,52.7,0
+1963,49,Female,135,90,206,71,89,185,124,5.7,23.7,84,144,Non-Anginal Pain,True,5.7,True,Never,2.0,161,8.8,87.4,False,6828,53.1,1
+1964,52,Male,140,83,229,62,126,184,132,5.7,29.4,75,183,Typical Angina,False,0.7,True,Never,5.7,264,6.9,43.0,False,9454,52.1,0
+1965,43,Male,108,58,195,51,120,164,191,7.1,22.3,88,173,Asymptomatic,True,0.2,False,Current,3.4,83,8.5,55.3,False,5592,64.2,1
+1966,61,Female,124,85,187,55,93,196,151,6.2,27.7,68,175,Asymptomatic,False,0.7,False,Never,1.8,241,6.0,45.1,False,3497,72.0,0
+1967,47,Female,124,65,183,55,120,101,150,5.9,32.5,86,190,Asymptomatic,False,0.1,False,Never,1.6,189,8.0,57.7,False,7986,62.1,0
+1968,57,Male,132,81,201,60,111,137,94,5.4,30.6,75,141,Asymptomatic,False,4.7,False,Former,4.3,188,8.6,62.9,False,5168,60.9,1
+1969,56,Female,137,95,199,43,96,258,117,5.3,23.0,94,160,Non-Anginal Pain,False,0.6,False,Current,31.6,188,6.9,64.4,True,8040,45.0,1
+1970,48,Male,108,59,172,62,87,106,88,5.0,22.3,85,174,Non-Anginal Pain,False,0.7,False,Never,2.2,151,9.1,34.9,True,6371,70.3,0
+1971,42,Male,143,90,177,46,104,167,78,4.3,29.5,86,181,Asymptomatic,True,1.0,False,Former,2.2,242,8.3,46.2,True,10192,46.2,0
+1972,52,Male,110,56,175,77,71,153,109,5.2,26.1,92,161,Atypical Angina,False,1.1,False,Never,7.7,158,6.7,45.0,False,4141,68.2,0
+1973,49,Male,147,96,163,49,77,167,82,4.4,32.0,83,170,Asymptomatic,False,0.6,True,Former,8.7,155,8.9,64.1,False,6376,58.1,0
+1974,67,Male,130,87,131,46,72,130,135,6.1,24.8,92,159,Non-Anginal Pain,False,0.6,True,Former,4.5,90,9.0,31.9,False,1658,59.7,1
+1975,42,Female,111,67,213,68,131,104,67,4.3,21.7,76,200,Asymptomatic,False,0.2,False,Former,0.3,241,6.5,46.2,True,8219,86.2,0
+1976,63,Male,141,95,177,40,116,153,101,6.2,25.9,86,158,Non-Anginal Pain,False,1.3,False,Former,2.3,88,9.3,56.5,False,7004,53.5,0
+1977,69,Male,117,78,213,49,114,193,115,5.7,26.8,78,145,Asymptomatic,False,0.3,False,Never,3.4,85,5.6,49.5,False,760,77.8,0
+1978,62,Female,137,86,180,55,102,103,124,5.9,22.5,79,152,Atypical Angina,False,0.2,True,Former,9.8,205,7.2,55.6,True,11885,30.0,0
+1979,63,Male,126,77,165,58,75,163,122,6.1,29.2,85,174,Atypical Angina,False,0.1,False,Former,5.8,88,6.4,40.4,False,5836,73.4,0
+1980,50,Female,118,77,217,66,108,228,73,4.7,27.4,78,172,Atypical Angina,False,1.7,False,Former,0.4,120,7.7,42.3,False,5796,67.6,0
+1981,59,Female,130,84,135,40,83,121,126,5.8,17.9,93,153,Typical Angina,False,0.8,False,Never,14.9,13,3.8,47.2,True,8777,26.3,0
+1982,59,Male,138,87,181,54,98,169,129,5.7,21.6,89,164,Non-Anginal Pain,False,0.2,False,Never,3.6,174,5.7,40.6,False,7419,70.4,0
+1983,33,Female,146,81,179,66,98,131,130,6.0,25.4,83,199,Atypical Angina,True,0.6,False,Former,12.6,100,5.0,49.8,False,5015,69.6,0
+1984,49,Female,107,60,201,72,108,142,69,4.4,22.0,85,196,Asymptomatic,False,0.1,True,Never,1.7,204,8.0,35.7,False,8570,64.3,0
+1985,38,Male,85,55,138,36,72,155,107,5.0,18.6,72,198,Asymptomatic,False,0.4,False,Never,3.4,232,6.5,45.3,False,6993,67.7,0
+1986,29,Female,129,87,201,51,123,167,131,5.5,29.7,69,204,Asymptomatic,False,1.0,False,Never,1.7,181,7.8,56.1,True,9006,52.1,0
+1987,53,Male,118,81,202,58,121,131,78,5.0,21.6,76,172,Non-Anginal Pain,False,2.2,False,Never,2.2,185,6.6,67.4,False,4517,68.1,0
+1988,59,Male,144,99,204,65,112,151,121,6.0,22.9,84,164,Non-Anginal Pain,False,1.5,True,Former,9.3,120,6.3,76.0,False,8834,62.5,1
+1989,45,Female,141,89,207,88,82,218,89,4.8,22.8,90,180,Asymptomatic,False,1.4,False,Former,18.1,167,7.7,45.9,True,5160,58.8,0
+1990,60,Female,145,96,176,68,73,151,90,5.2,23.3,80,157,Atypical Angina,False,0.7,True,Former,12.0,223,5.5,80.6,True,6898,50.9,0
+1991,61,Male,108,74,240,47,161,226,81,4.5,21.2,73,148,Asymptomatic,True,1.6,True,Former,5.3,106,6.5,51.9,True,6864,40.7,1
+1992,55,Female,120,82,215,64,95,278,119,5.9,27.4,83,151,Atypical Angina,False,0.3,False,Former,19.7,123,7.1,29.4,True,5429,53.9,0
+1993,47,Female,138,90,240,60,143,153,87,5.1,31.7,92,138,Asymptomatic,True,0.9,False,Former,2.4,72,8.6,47.2,False,7809,61.1,1
+1994,63,Male,118,63,184,50,90,163,101,4.3,26.7,81,147,Atypical Angina,False,0.4,False,Never,4.1,82,8.3,52.0,False,6239,70.5,0
+1995,77,Female,145,97,214,67,121,175,134,6.3,25.5,77,113,Non-Anginal Pain,False,1.4,True,Former,3.0,122,8.5,66.3,False,1335,82.2,1
+1996,27,Female,98,66,146,52,64,142,125,5.7,19.0,84,194,Asymptomatic,False,1.0,False,Never,2.4,135,7.0,46.2,False,3925,69.0,0
+1997,63,Male,146,99,142,52,85,110,129,5.6,23.9,66,168,Asymptomatic,False,0.9,False,Never,1.5,83,6.5,36.0,False,3781,73.4,0
+1998,39,Female,127,84,201,67,94,190,85,4.2,27.9,73,184,Asymptomatic,False,0.2,False,Never,12.2,246,7.2,43.4,True,7549,80.4,0
+1999,65,Male,131,87,264,83,130,203,112,5.5,28.1,88,153,Typical Angina,True,1.0,False,Never,3.9,147,7.1,40.1,False,3277,63.0,1
+2000,67,Male,132,92,191,66,102,142,133,6.4,20.6,83,147,Atypical Angina,False,1.0,False,Never,1.6,204,6.0,39.7,True,6857,58.3,0
+2001,49,Male,93,83,185,63,75,232,118,5.5,20.3,64,188,Typical Angina,False,2.0,False,Former,6.0,203,6.7,32.1,True,8643,63.7,0
+2002,48,Male,118,75,155,48,85,109,142,6.2,24.0,88,166,Typical Angina,False,1.2,True,Never,2.9,110,8.6,39.0,False,4818,48.5,1
+2003,54,Male,114,57,214,52,116,217,131,5.8,21.9,67,157,Non-Anginal Pain,True,1.7,False,Former,9.0,159,7.5,49.2,True,5129,50.6,1
+2004,56,Male,139,81,229,74,131,126,133,5.9,23.8,95,132,Non-Anginal Pain,True,1.5,True,Never,2.7,195,7.1,43.2,False,6690,73.3,1
+2005,51,Male,101,61,173,43,105,119,104,5.1,24.2,77,170,Non-Anginal Pain,False,0.6,False,Current,1.8,154,7.5,26.5,True,7538,33.2,0
+2006,69,Male,123,77,160,36,100,86,108,5.3,22.2,84,138,Atypical Angina,False,0.7,True,Never,1.8,118,6.3,75.5,False,6496,62.0,1
+2007,34,Male,113,67,209,48,116,182,69,4.0,17.6,81,197,Non-Anginal Pain,True,0.5,True,Current,8.3,201,7.1,14.2,True,9148,43.4,0
+2008,47,Male,149,91,191,68,87,162,151,6.5,27.2,74,184,Atypical Angina,False,0.0,False,Never,2.5,157,6.4,34.6,True,9311,53.9,0
+2009,62,Female,130,83,186,70,82,147,108,6.2,25.9,83,174,Typical Angina,True,0.8,True,Former,3.1,92,6.6,31.2,False,5308,84.7,0
+2010,50,Male,127,75,231,67,120,192,67,4.4,24.5,79,161,Asymptomatic,False,0.9,False,Never,4.8,149,6.5,43.7,False,4364,43.4,0
+2011,51,Female,141,92,163,58,95,89,87,4.8,20.6,102,185,Asymptomatic,False,0.5,True,Never,3.8,241,8.1,63.2,False,6980,86.2,0
+2012,50,Male,130,79,146,39,62,175,107,5.2,17.4,70,172,Non-Anginal Pain,False,0.8,False,Former,10.8,210,7.2,40.7,True,8224,49.8,0
+2013,66,Female,132,87,151,54,65,211,117,5.8,27.2,71,162,Typical Angina,True,1.4,False,Former,6.4,177,6.5,37.6,False,7317,66.9,1
+2014,63,Female,141,95,222,73,130,88,140,6.5,25.1,82,153,Non-Anginal Pain,False,0.3,False,Never,0.8,159,5.8,56.0,False,3559,56.7,0
+2015,37,Female,101,60,133,40,77,81,110,5.3,24.4,85,170,Non-Anginal Pain,False,0.8,False,Never,3.2,111,7.8,48.2,False,4779,60.1,0
+2016,39,Male,115,79,138,64,55,115,125,6.5,24.4,88,185,Asymptomatic,False,1.5,False,Never,7.5,118,6.1,49.0,False,4718,72.2,0
+2017,49,Male,119,82,218,55,142,125,135,6.0,27.5,83,181,Asymptomatic,False,1.9,False,Never,8.2,135,6.6,53.5,False,7484,75.6,0
+2018,52,Female,120,79,184,42,122,138,131,6.2,29.4,93,167,Asymptomatic,False,1.3,False,Never,3.2,77,6.4,16.7,False,4167,35.4,0
+2019,66,Female,130,81,200,32,138,182,98,5.5,26.1,87,165,Asymptomatic,True,1.5,True,Never,2.2,125,7.0,54.5,True,4173,48.5,0
+2020,52,Female,140,95,223,72,138,77,160,6.9,28.9,85,180,Typical Angina,False,0.0,True,Former,0.4,238,6.2,49.5,False,9178,73.7,0
+2021,71,Male,158,99,167,39,96,173,142,6.1,30.9,77,119,Typical Angina,True,2.3,False,Former,6.0,24,5.5,54.8,False,3263,74.0,1
+2022,78,Female,142,89,221,64,126,166,128,5.9,25.8,75,141,Non-Anginal Pain,False,1.7,True,Former,0.4,154,5.1,43.1,True,3853,63.5,0
+2023,43,Female,131,89,216,61,117,217,165,7.1,26.4,86,163,Non-Anginal Pain,True,0.4,False,Former,7.2,149,7.4,63.9,False,3605,48.6,1
+2024,56,Male,142,81,241,60,141,175,91,5.2,28.0,91,146,Non-Anginal Pain,True,1.3,False,Never,3.7,86,9.2,61.3,False,8296,54.0,1
+2025,67,Male,140,74,193,47,112,176,117,6.0,27.2,76,151,Non-Anginal Pain,False,0.0,False,Never,5.6,223,5.5,53.8,False,7556,82.5,0
+2026,57,Female,142,88,216,66,123,204,134,6.1,26.5,81,182,Atypical Angina,False,0.6,True,Never,19.0,165,7.9,30.5,False,6605,67.1,0
+2027,59,Male,146,97,163,50,100,121,115,5.9,29.7,84,160,Non-Anginal Pain,True,1.3,False,Never,15.0,130,7.6,66.9,True,7424,61.1,1
+2028,48,Male,132,84,214,60,107,221,117,5.7,22.5,77,183,Asymptomatic,False,0.7,False,Former,11.1,140,6.8,53.5,False,2765,72.1,0
+2029,47,Male,121,80,187,69,77,171,108,5.6,15.0,75,176,Asymptomatic,False,1.7,True,Never,2.1,241,6.5,41.1,True,7063,78.9,0
+2030,57,Male,102,61,140,61,50,91,129,6.0,18.6,92,157,Non-Anginal Pain,False,0.0,False,Former,3.5,196,7.6,32.2,True,6761,63.2,0
+2031,67,Female,134,91,135,44,93,35,97,5.2,25.1,94,145,Asymptomatic,True,0.8,False,Never,8.0,122,6.9,57.2,False,5807,63.8,1
+2032,40,Male,121,80,199,58,128,108,125,5.5,20.2,75,164,Non-Anginal Pain,False,0.9,True,Current,6.7,213,7.7,50.8,True,5819,42.3,0
+2033,52,Male,128,83,256,66,155,164,123,5.7,26.3,84,134,Asymptomatic,True,2.8,False,Current,1.8,184,6.8,13.5,True,4807,39.1,1
+2034,78,Female,130,93,204,35,134,137,101,5.7,29.9,86,158,Asymptomatic,False,0.6,False,Never,0.4,107,8.2,58.0,False,3730,58.5,0
+2035,52,Female,132,72,193,44,131,153,130,6.8,26.5,96,160,Asymptomatic,False,3.9,False,Current,2.5,75,6.2,43.8,False,3916,56.6,1
+2036,56,Female,130,75,154,57,77,113,98,5.2,24.8,104,154,Atypical Angina,True,1.3,False,Never,1.2,45,5.1,64.2,True,3879,89.8,0
+2037,65,Male,147,93,152,55,64,191,100,5.5,30.6,79,159,Non-Anginal Pain,False,1.8,False,Former,3.5,114,6.8,61.7,False,4887,40.1,0
+2038,62,Female,138,89,158,36,94,203,124,6.2,29.3,76,135,Asymptomatic,True,0.2,True,Former,6.6,90,5.9,69.0,False,6873,42.0,1
+2039,52,Male,131,85,192,69,97,66,143,6.2,25.0,78,152,Asymptomatic,False,0.5,False,Never,1.7,145,6.9,40.1,False,4310,39.1,0
+2040,51,Female,110,66,229,44,129,238,127,6.4,29.5,86,173,Typical Angina,False,1.6,False,Former,0.2,200,6.8,72.5,True,6901,35.1,0
+2041,74,Male,127,73,200,64,110,92,121,5.5,19.6,67,141,Atypical Angina,False,1.6,False,Former,7.4,219,7.6,72.4,True,6161,83.8,0
+2042,42,Female,124,66,148,49,74,145,131,5.8,28.4,89,176,Asymptomatic,False,0.2,True,Never,2.6,120,7.6,45.0,True,3696,88.6,0
+2043,37,Male,125,80,179,39,88,237,143,6.2,32.7,85,186,Typical Angina,True,0.8,False,Former,1.9,127,6.9,70.7,False,6851,58.3,1
+2044,69,Male,110,76,212,72,118,135,171,7.4,22.2,100,117,Non-Anginal Pain,False,0.5,False,Current,4.0,153,7.5,56.3,True,9833,47.2,1
+2045,71,Male,144,89,228,53,131,200,150,6.5,22.5,71,161,Typical Angina,False,2.7,False,Never,8.0,223,7.6,40.9,False,9250,53.7,0
+2046,42,Male,155,84,262,77,152,196,112,5.5,28.4,80,162,Atypical Angina,False,2.0,False,Former,15.3,234,6.2,47.1,False,3579,47.3,1
+2047,66,Female,139,96,238,63,140,111,96,5.1,28.5,63,160,Typical Angina,False,0.2,False,Never,1.9,282,8.5,44.9,True,4882,61.8,0
+2048,59,Female,132,77,193,73,101,70,114,5.7,23.9,77,175,Asymptomatic,False,1.2,True,Never,6.1,165,7.1,34.8,False,2870,75.7,0
+2049,53,Male,143,96,172,70,76,120,124,5.9,22.8,98,182,Asymptomatic,False,0.8,False,Former,9.6,90,4.5,27.7,False,4518,53.6,0
+2050,56,Female,120,71,132,52,73,107,117,5.7,22.4,79,170,Typical Angina,False,0.5,False,Never,7.7,95,7.8,40.3,False,500,58.1,0
+2051,78,Female,161,104,188,41,114,192,129,5.9,24.3,93,141,Non-Anginal Pain,True,0.3,True,Never,5.5,11,7.5,75.1,False,6227,69.4,0
+2052,64,Male,130,76,180,58,95,125,141,6.6,33.2,84,160,Typical Angina,False,1.2,False,Never,3.9,126,7.0,48.4,False,6307,45.8,0
+2053,62,Female,153,89,162,75,56,169,107,5.1,25.7,81,161,Asymptomatic,True,0.4,False,Never,1.5,61,6.4,66.2,False,6393,65.8,0
+2054,61,Male,151,81,188,48,84,245,92,5.0,29.2,84,152,Asymptomatic,False,0.3,False,Never,2.8,161,7.1,77.5,True,6815,32.7,0
+2055,47,Female,125,75,144,82,53,35,100,5.8,17.9,77,180,Non-Anginal Pain,False,0.4,True,Never,3.1,265,7.8,27.0,True,5557,58.0,0
+2056,50,Male,109,68,177,53,89,165,73,4.5,25.2,90,152,Asymptomatic,False,0.3,True,Never,11.1,111,5.1,51.4,False,4266,34.9,1
+2057,53,Male,155,96,177,56,101,164,96,5.3,26.5,72,147,Asymptomatic,True,1.7,False,Current,20.6,234,7.2,12.6,True,7197,64.1,1
+2058,43,Female,131,64,210,46,125,229,125,5.9,27.1,86,200,Asymptomatic,True,6.1,False,Never,6.9,188,6.7,47.8,True,11676,45.9,1
+2059,61,Female,144,92,160,64,76,133,131,6.6,20.3,83,160,Asymptomatic,False,0.1,False,Never,4.3,167,7.7,41.7,True,4115,63.3,0
+2060,70,Male,128,80,161,42,106,133,139,6.2,29.5,78,138,Asymptomatic,True,1.8,False,Never,4.7,52,9.1,17.4,False,4341,42.1,1
+2061,53,Male,124,68,135,44,60,147,127,6.2,25.4,81,181,Asymptomatic,False,0.3,True,Never,11.4,105,6.4,49.5,False,3864,67.7,0
+2062,44,Male,114,78,173,31,101,218,119,5.6,32.1,102,173,Asymptomatic,False,0.3,False,Never,2.7,66,8.0,31.8,False,9167,50.4,0
+2063,44,Female,140,80,175,63,98,130,100,5.0,23.1,96,174,Non-Anginal Pain,True,1.3,True,Never,1.5,74,8.4,61.4,False,2652,78.1,0
+2064,75,Male,143,89,177,32,86,224,156,7.1,28.9,95,157,Non-Anginal Pain,False,0.6,True,Never,5.5,72,7.4,31.2,False,2777,89.4,0
+2065,47,Female,127,90,181,68,99,87,136,6.5,21.3,77,178,Asymptomatic,False,0.7,False,Never,5.8,81,8.8,44.7,False,6786,56.9,0
+2066,39,Female,106,71,202,70,93,218,118,5.8,36.6,78,185,Non-Anginal Pain,False,0.2,False,Never,3.2,174,8.0,35.2,True,5637,47.2,0
+2067,35,Male,128,79,161,45,66,173,128,6.1,25.0,71,182,Atypical Angina,False,0.4,False,Never,7.5,103,7.5,27.7,True,4123,72.1,0
+2068,48,Male,129,71,194,50,115,143,128,5.5,25.0,74,199,Asymptomatic,True,1.2,False,Never,2.3,220,7.5,50.9,True,7762,62.6,0
+2069,70,Male,134,80,242,63,141,175,104,5.3,34.7,86,152,Non-Anginal Pain,True,1.5,False,Never,12.9,87,6.0,50.3,False,10490,56.8,0
+2070,71,Male,143,92,239,36,162,191,119,5.8,29.6,83,136,Asymptomatic,True,1.4,True,Current,9.3,107,5.6,60.9,False,5062,62.3,1
+2071,62,Female,150,104,140,61,45,210,121,5.7,27.5,79,165,Asymptomatic,False,0.3,False,Former,13.7,83,6.3,54.7,False,5700,71.7,0
+2072,45,Male,134,87,212,49,126,176,114,6.0,28.3,104,185,Asymptomatic,False,1.8,False,Current,6.5,147,7.1,59.9,False,5210,51.5,0
+2073,65,Male,119,77,176,64,95,145,91,5.0,20.1,81,149,Non-Anginal Pain,False,0.5,False,Never,8.0,142,6.4,59.5,False,7058,46.9,1
+2074,52,Male,133,87,205,37,125,243,154,6.7,30.8,91,150,Non-Anginal Pain,False,1.6,False,Never,6.9,52,5.1,50.9,False,6171,62.5,1
+2075,63,Female,135,80,205,78,80,129,109,5.5,19.2,73,160,Asymptomatic,False,1.0,True,Never,1.6,207,8.4,37.2,True,5652,60.9,0
+2076,83,Female,125,78,244,69,122,204,110,4.9,24.2,73,123,Non-Anginal Pain,True,0.5,True,Former,34.1,137,5.2,34.3,False,2911,50.3,1
+2077,52,Male,153,104,149,50,74,144,142,7.0,33.3,83,170,Asymptomatic,False,0.1,False,Never,3.9,226,6.7,56.7,False,5119,67.9,0
+2078,37,Male,127,63,206,65,93,222,158,7.1,23.5,87,197,Asymptomatic,False,0.9,False,Former,10.8,92,7.0,58.1,False,5004,26.5,0
+2079,80,Male,160,114,166,53,102,90,118,6.0,27.7,90,160,Non-Anginal Pain,False,0.7,False,Former,11.6,76,7.4,53.5,False,605,32.4,0
+2080,53,Male,132,87,215,69,112,183,70,4.4,26.3,82,164,Atypical Angina,False,1.2,False,Former,5.1,81,8.7,41.8,False,4230,44.0,0
+2081,52,Female,146,100,173,53,97,163,109,5.5,28.9,89,175,Asymptomatic,False,0.2,False,Former,0.6,236,7.7,37.1,False,8323,72.3,0
+2082,33,Male,122,61,216,52,136,109,107,4.8,19.3,77,199,Asymptomatic,False,0.6,True,Current,20.2,178,8.2,36.2,True,8649,55.1,0
+2083,65,Male,163,105,189,62,95,229,107,5.7,25.7,96,140,Asymptomatic,True,1.9,True,Never,3.5,116,6.4,65.6,False,7066,52.3,0
+2084,69,Male,150,84,166,50,84,191,140,6.1,30.3,81,132,Asymptomatic,False,0.6,True,Current,13.0,226,7.3,75.9,True,5551,74.4,1
+2085,58,Female,143,100,174,56,82,133,160,6.7,28.5,84,162,Non-Anginal Pain,False,2.5,False,Former,3.6,142,6.8,43.7,False,5667,47.3,0
+2086,69,Female,138,93,184,67,74,167,133,6.5,23.0,93,148,Asymptomatic,False,1.5,False,Former,13.4,150,7.6,28.5,True,10663,75.1,0
+2087,50,Female,125,76,133,46,65,126,101,5.1,22.3,80,186,Asymptomatic,False,0.1,True,Former,0.3,250,6.5,43.0,True,3536,55.9,0
+2088,73,Female,132,96,180,65,87,66,111,5.6,28.8,87,149,Atypical Angina,False,0.2,False,Current,0.8,117,6.8,52.0,False,5080,53.3,1
+2089,65,Male,139,89,216,57,119,188,161,6.8,31.4,66,159,Non-Anginal Pain,True,0.8,True,Never,5.3,190,6.6,56.4,False,4036,34.6,1
+2090,78,Female,151,101,178,52,105,54,160,6.5,18.2,72,158,Asymptomatic,False,0.5,True,Never,2.2,125,7.4,43.6,False,5076,39.9,0
+2091,33,Male,130,82,164,39,91,139,140,6.5,27.5,90,175,Asymptomatic,False,0.6,True,Never,7.0,116,5.7,60.7,True,5283,69.6,0
+2092,39,Female,128,78,184,44,85,240,137,6.6,23.2,67,175,Asymptomatic,False,0.9,False,Never,15.0,198,7.6,41.2,True,9709,64.6,0
+2093,67,Male,107,66,168,56,82,156,145,5.8,15.3,81,146,Asymptomatic,False,0.3,False,Former,5.6,179,4.7,62.2,False,8450,56.5,0
+2094,60,Male,154,108,213,68,103,212,111,5.9,29.2,80,152,Non-Anginal Pain,True,0.9,False,Former,7.4,155,7.6,48.3,True,6444,55.2,1
+2095,43,Male,120,75,177,44,98,159,80,4.6,29.3,95,168,Asymptomatic,True,1.2,True,Former,7.9,176,5.3,44.1,False,8406,61.2,0
+2096,56,Female,98,66,163,42,80,158,133,6.7,31.6,76,173,Asymptomatic,False,0.8,False,Never,1.4,194,10.2,37.9,True,5266,94.0,0
+2097,67,Male,102,50,219,58,130,162,146,6.6,25.9,89,134,Typical Angina,True,0.1,False,Never,2.4,134,6.8,41.2,False,6243,63.7,1
+2098,70,Female,125,86,201,70,106,102,143,6.7,21.4,82,162,Asymptomatic,False,0.6,False,Never,1.7,94,9.3,28.6,True,4927,77.4,0
+2099,59,Male,131,83,190,81,83,131,142,6.1,18.9,75,142,Non-Anginal Pain,False,2.5,False,Former,4.5,248,7.1,64.1,True,5164,75.5,0
+2100,56,Female,136,89,198,65,109,141,121,6.1,35.4,94,164,Non-Anginal Pain,False,0.7,False,Never,2.8,115,6.9,21.5,False,2255,63.2,0
+2101,61,Male,157,90,213,54,119,118,141,6.5,35.1,86,161,Non-Anginal Pain,True,0.1,False,Never,6.4,101,7.3,35.8,True,7577,81.0,0
+2102,55,Female,127,80,258,69,159,171,161,6.9,36.1,88,160,Typical Angina,False,1.1,True,Never,1.8,81,5.5,68.0,True,8760,41.9,1
+2103,80,Female,143,97,170,67,68,175,121,6.0,20.1,87,135,Typical Angina,False,1.2,False,Never,4.3,100,6.1,39.7,False,1698,63.5,0
+2104,50,Female,102,61,185,72,90,134,106,5.8,23.4,77,186,Asymptomatic,False,0.1,False,Never,0.6,188,6.9,50.4,True,8073,49.0,0
+2105,55,Female,149,89,176,65,81,138,108,5.6,22.8,80,174,Asymptomatic,False,0.1,True,Never,2.6,133,6.4,17.3,False,6750,41.4,0
+2106,53,Female,135,95,177,54,106,56,86,5.4,25.3,72,146,Asymptomatic,False,1.8,False,Never,7.7,105,9.4,52.3,True,6139,53.1,1
+2107,75,Male,145,88,213,54,140,114,134,5.9,30.6,83,141,Asymptomatic,False,4.7,False,Current,1.7,220,5.5,49.1,True,7046,34.4,1
+2108,48,Male,137,89,200,50,110,174,142,6.5,19.5,74,140,Asymptomatic,False,0.6,False,Never,1.5,38,5.9,67.4,False,5536,49.9,0
+2109,67,Female,107,63,185,52,98,115,144,6.1,23.6,90,139,Asymptomatic,False,1.7,False,Former,5.2,56,5.9,46.4,False,2521,65.4,0
+2110,55,Male,141,94,149,30,88,158,148,6.8,27.3,83,156,Atypical Angina,True,4.5,True,Never,4.9,121,7.2,50.4,True,8357,62.6,1
+2111,49,Female,117,78,157,46,75,164,128,5.9,23.2,74,169,Atypical Angina,True,0.3,False,Current,1.4,235,7.6,72.4,True,7891,63.2,0
+2112,28,Female,119,71,168,61,82,169,107,5.9,22.1,80,197,Atypical Angina,False,0.0,False,Never,1.5,119,7.5,60.3,False,4181,48.8,0
+2113,54,Female,123,71,157,56,71,197,110,6.3,26.4,88,169,Non-Anginal Pain,False,0.7,False,Never,1.4,105,6.5,66.4,True,6127,52.4,1
+2114,77,Female,153,95,184,50,81,297,93,5.2,25.3,73,134,Non-Anginal Pain,True,1.9,False,Never,16.6,126,5.5,62.1,True,5818,65.7,1
+2115,46,Male,115,77,136,33,61,176,130,5.9,18.4,71,173,Non-Anginal Pain,False,0.4,False,Former,3.7,38,7.5,51.8,False,3295,73.9,0
+2116,18,Female,123,58,166,79,73,151,116,5.4,28.3,87,210,Asymptomatic,False,0.4,False,Never,0.1,157,5.8,96.2,True,8489,81.7,0
+2117,59,Male,139,91,191,45,111,142,128,6.0,24.7,90,173,Typical Angina,False,0.3,False,Never,2.7,28,7.5,70.7,False,8215,48.2,0
+2118,39,Male,105,70,212,57,117,177,140,5.3,28.0,93,183,Atypical Angina,True,0.4,True,Former,6.0,189,6.8,59.4,False,9661,46.1,0
+2119,32,Female,106,68,178,54,84,200,126,6.1,24.9,82,199,Asymptomatic,False,0.3,False,Never,8.7,144,7.4,61.1,False,8240,48.5,0
+2120,48,Female,103,66,190,58,99,164,89,4.7,24.1,94,189,Non-Anginal Pain,False,0.7,False,Never,5.4,74,7.7,33.6,True,11684,56.3,0
+2121,37,Male,87,59,214,79,112,109,98,5.2,22.8,64,181,Asymptomatic,True,0.9,False,Former,1.8,214,7.8,18.5,True,8977,59.6,0
+2122,68,Male,132,72,183,41,119,131,122,6.2,23.5,83,117,Atypical Angina,False,5.1,False,Never,3.9,178,8.4,28.9,False,4795,70.3,1
+2123,57,Female,127,79,195,67,85,216,102,5.1,26.5,86,149,Atypical Angina,False,0.3,False,Former,4.1,235,6.6,18.7,True,12137,61.3,0
+2124,63,Male,111,70,198,63,100,196,90,5.3,20.5,53,150,Atypical Angina,False,0.4,True,Former,3.8,163,6.4,30.4,True,4493,66.1,0
+2125,46,Female,108,76,203,62,91,207,74,5.0,25.3,78,184,Asymptomatic,False,0.2,False,Former,0.9,224,7.1,35.5,False,2537,48.3,0
+2126,53,Female,126,82,199,44,122,150,110,5.4,24.8,89,181,Asymptomatic,False,0.9,False,Never,16.2,158,7.2,23.9,False,5296,52.6,0
+2127,47,Female,122,89,182,49,104,190,107,5.3,18.1,75,175,Asymptomatic,False,0.3,False,Current,7.4,246,8.2,49.4,False,5110,84.0,1
+2128,58,Male,122,73,212,63,106,240,111,5.8,29.0,76,163,Non-Anginal Pain,True,0.5,False,Former,6.9,188,6.7,40.2,True,8481,44.7,0
+2129,25,Female,110,70,256,45,161,227,108,5.4,25.4,76,210,Asymptomatic,False,0.0,True,Current,8.3,186,6.5,44.6,True,9856,63.7,0
+2130,54,Male,119,71,140,58,70,126,110,5.5,22.9,92,165,Asymptomatic,True,4.6,False,Former,11.6,55,5.4,49.8,True,6929,62.6,1
+2131,67,Female,131,89,152,51,91,100,134,6.8,22.5,84,182,Asymptomatic,False,0.9,False,Former,3.4,105,8.2,31.5,False,6554,68.1,0
+2132,76,Female,138,92,178,78,70,151,111,5.8,26.5,70,153,Asymptomatic,False,0.4,False,Former,5.4,200,8.1,32.4,True,4671,86.8,0
+2133,65,Male,138,80,213,43,118,243,157,7.0,32.6,88,121,Asymptomatic,False,2.2,False,Current,7.7,154,5.7,4.0,False,8846,18.1,1
+2134,56,Male,115,76,168,53,90,122,94,4.6,23.9,82,165,Asymptomatic,False,0.2,False,Current,3.0,158,8.9,20.3,True,7789,37.7,0
+2135,32,Female,102,65,207,66,108,193,139,6.6,24.3,83,201,Non-Anginal Pain,False,1.5,False,Former,1.9,109,6.3,25.8,False,10283,62.7,0
+2136,56,Male,117,87,130,71,41,124,108,6.5,30.7,78,158,Asymptomatic,False,0.6,False,Never,2.5,195,7.2,44.2,False,5940,50.2,0
+2137,28,Male,114,65,143,50,83,91,107,5.5,22.6,88,156,Non-Anginal Pain,False,0.7,False,Former,1.9,122,7.5,48.0,True,8303,64.2,1
+2138,42,Male,118,74,217,56,117,194,105,5.4,22.6,80,177,Asymptomatic,False,2.5,True,Never,5.2,212,5.9,44.9,True,6723,47.8,0
+2139,51,Male,130,80,158,60,49,203,135,6.3,20.0,71,160,Non-Anginal Pain,False,1.9,False,Former,3.7,86,5.2,59.7,False,5062,64.6,0
+2140,50,Male,113,81,199,71,70,266,123,6.5,24.0,67,170,Non-Anginal Pain,False,0.6,True,Never,13.7,143,6.2,26.9,True,5209,61.7,0
+2141,65,Female,127,79,179,29,103,214,108,5.9,34.0,80,157,Asymptomatic,False,1.1,False,Current,1.8,147,7.2,54.6,False,6771,49.1,0
+2142,50,Male,147,86,157,69,59,140,133,5.7,28.1,78,164,Typical Angina,False,0.6,False,Former,6.8,212,7.2,50.7,True,7998,71.0,0
+2143,37,Female,110,69,139,49,77,73,118,5.4,22.6,93,202,Typical Angina,False,0.4,True,Current,2.3,239,8.0,67.6,False,7914,65.0,0
+2144,48,Male,117,79,139,47,76,118,157,7.4,25.1,76,186,Asymptomatic,False,0.2,False,Never,7.3,93,6.0,32.7,True,8285,62.7,0
+2145,44,Female,137,93,199,60,115,223,92,4.7,31.8,73,204,Asymptomatic,False,0.0,False,Former,0.9,214,6.2,54.5,True,8705,88.4,0
+2146,68,Male,145,105,204,68,125,76,143,6.0,24.0,78,166,Atypical Angina,True,0.8,False,Former,3.2,225,8.5,32.7,True,4007,73.3,0
+2147,35,Male,86,68,183,64,85,194,114,6.3,25.2,79,188,Asymptomatic,False,1.6,True,Never,4.3,126,7.9,41.0,False,5012,76.4,0
+2148,47,Female,113,81,199,85,85,163,150,5.8,22.4,86,172,Typical Angina,False,0.9,False,Former,5.5,119,6.1,72.1,False,6823,73.8,0
+2149,66,Female,147,99,214,74,118,83,121,6.0,20.4,79,149,Non-Anginal Pain,False,1.1,False,Former,7.9,186,5.1,46.4,False,5858,100.0,0
+2150,43,Female,118,74,257,63,153,297,113,5.6,26.4,97,135,Non-Anginal Pain,True,1.0,False,Current,14.9,76,5.3,30.4,False,4641,39.4,1
+2151,59,Male,116,77,186,61,81,188,95,4.8,15.0,66,170,Atypical Angina,False,0.7,False,Former,3.8,246,7.7,38.8,True,8412,56.1,0
+2152,54,Female,145,100,192,46,91,224,144,6.9,31.8,99,174,Asymptomatic,False,0.2,False,Never,5.2,104,7.5,46.0,True,3937,56.4,0
+2153,49,Female,151,101,202,46,128,138,128,5.7,29.3,87,168,Atypical Angina,False,2.0,False,Never,3.4,94,8.4,75.8,False,5597,53.5,1
+2154,31,Female,119,76,220,53,118,260,113,5.4,25.2,99,192,Non-Anginal Pain,False,1.6,False,Never,12.4,167,7.3,47.4,True,5429,52.6,0
+2155,54,Female,130,79,168,49,95,94,160,6.9,22.7,73,189,Asymptomatic,False,0.5,False,Former,0.4,101,7.3,55.3,False,2208,67.3,0
+2156,47,Male,139,91,207,46,122,163,95,5.2,25.6,73,178,Non-Anginal Pain,False,0.3,False,Never,4.7,160,5.4,32.3,False,5335,51.3,0
+2157,58,Male,113,73,188,70,86,94,94,4.8,26.7,84,186,Atypical Angina,False,0.5,True,Never,5.1,147,7.0,58.2,False,1335,47.1,0
+2158,35,Female,134,91,223,50,147,152,130,6.7,27.7,81,180,Non-Anginal Pain,False,2.3,False,Current,12.6,183,7.6,42.6,False,4595,76.7,0
+2159,61,Male,118,76,167,32,101,142,93,4.9,15.2,88,159,Asymptomatic,False,2.2,False,Former,3.3,137,7.5,40.5,False,4156,53.6,0
+2160,62,Female,138,97,218,57,104,285,91,4.5,20.9,88,189,Asymptomatic,False,0.5,False,Current,1.1,179,6.5,37.5,True,4999,59.6,0
+2161,72,Male,131,82,191,41,101,176,160,7.1,24.2,93,154,Asymptomatic,True,3.5,False,Current,14.8,150,6.9,62.0,True,4958,65.5,1
+2162,48,Female,125,65,173,47,109,71,116,5.6,18.9,76,184,Asymptomatic,False,0.2,True,Never,0.6,182,6.1,38.1,False,3965,72.2,0
+2163,45,Female,124,85,214,73,123,143,66,4.3,19.2,90,188,Atypical Angina,False,0.2,True,Current,18.6,172,7.8,40.7,True,8530,52.8,0
+2164,66,Female,122,77,198,55,120,153,116,5.8,23.8,96,141,Non-Anginal Pain,True,0.4,True,Former,0.2,106,5.1,73.5,True,4597,30.3,1
+2165,40,Male,109,65,206,70,109,135,94,4.9,23.0,72,167,Atypical Angina,False,3.9,True,Never,2.0,194,6.3,38.2,False,6752,53.9,1
+2166,43,Male,126,90,154,63,51,168,84,4.3,20.3,74,187,Asymptomatic,False,0.5,False,Never,1.6,260,5.9,40.9,False,8722,80.6,0
+2167,50,Female,111,68,223,70,126,105,87,4.5,19.1,72,176,Asymptomatic,False,0.3,False,Never,0.5,247,6.8,73.3,True,9609,59.0,0
+2168,39,Male,118,76,168,36,117,64,134,5.5,23.2,82,165,Non-Anginal Pain,True,3.8,False,Never,6.6,136,6.4,46.9,True,5960,60.6,1
+2169,73,Female,126,79,180,60,87,130,167,6.9,18.6,83,148,Asymptomatic,False,1.3,False,Never,3.2,68,7.6,43.2,False,4118,50.1,0
+2170,66,Male,145,97,190,42,121,77,138,6.5,21.8,78,124,Asymptomatic,True,1.7,False,Never,3.8,79,5.1,72.2,False,4737,65.1,1
+2171,26,Female,86,67,201,68,96,184,128,5.4,21.9,83,210,Atypical Angina,False,1.1,False,Current,22.3,180,5.4,11.6,True,7103,34.9,0
+2172,26,Female,97,64,227,84,108,216,109,5.4,27.8,74,210,Non-Anginal Pain,False,1.7,False,Former,5.0,170,5.5,43.1,True,4058,71.2,0
+2173,45,Female,155,99,201,48,103,235,131,5.9,28.7,93,169,Asymptomatic,False,0.1,False,Current,5.5,236,6.3,69.9,True,11598,25.5,0
+2174,60,Female,145,94,181,45,101,135,124,5.9,32.5,80,159,Asymptomatic,False,0.4,True,Never,2.3,104,7.0,17.4,False,4658,81.2,1
+2175,63,Female,119,80,207,45,140,94,116,5.7,25.9,83,158,Asymptomatic,False,0.4,False,Former,9.7,155,9.4,25.9,True,6682,88.1,0
+2176,72,Male,133,82,215,66,123,136,126,5.8,25.4,76,154,Asymptomatic,False,0.2,False,Never,4.6,112,7.4,25.5,False,7624,38.2,1
+2177,58,Male,124,68,189,48,140,112,79,4.6,21.9,90,182,Typical Angina,False,0.3,False,Former,8.9,110,6.2,43.8,True,7516,55.9,0
+2178,40,Male,111,70,167,68,85,62,112,5.4,25.7,64,174,Atypical Angina,False,1.7,False,Former,10.0,262,8.3,46.8,True,9366,77.2,0
+2179,59,Female,114,71,208,49,137,160,101,5.8,21.4,70,170,Atypical Angina,False,1.4,False,Current,4.5,201,8.0,16.7,True,10880,43.3,0
+2180,39,Female,117,69,210,70,120,170,103,5.8,26.2,78,188,Asymptomatic,False,1.0,False,Former,0.6,125,8.0,26.4,False,2460,51.7,0
+2181,43,Female,130,80,220,58,121,220,125,6.0,28.6,79,161,Atypical Angina,False,1.1,True,Never,5.2,138,7.6,41.0,True,9088,64.3,0
+2182,33,Female,105,72,172,54,85,146,73,4.1,20.5,86,199,Asymptomatic,False,0.0,False,Current,5.4,96,8.5,69.7,False,6656,50.6,0
+2183,42,Female,125,85,148,64,70,125,119,5.6,17.5,79,175,Asymptomatic,False,0.4,False,Former,14.0,104,8.2,27.8,True,9360,68.7,0
+2184,46,Male,130,76,186,52,97,219,79,4.8,20.6,86,191,Asymptomatic,False,0.1,True,Never,13.0,187,6.5,40.2,True,7300,56.8,0
+2185,47,Male,118,71,167,54,59,219,121,5.6,24.1,86,185,Atypical Angina,False,3.6,False,Never,10.6,180,7.6,12.8,False,5406,59.2,0
+2186,77,Female,149,96,187,65,96,148,124,5.9,20.5,93,133,Typical Angina,False,0.7,True,Never,2.0,122,7.6,67.4,False,4852,58.5,1
+2187,55,Female,122,83,255,76,149,124,130,6.1,22.0,79,174,Asymptomatic,False,0.5,False,Never,0.1,223,7.0,43.2,True,10082,88.3,0
+2188,59,Male,144,80,186,37,96,248,130,6.1,27.1,81,182,Asymptomatic,False,0.3,True,Former,5.4,111,8.1,16.1,False,6612,74.1,0
+2189,56,Male,133,78,187,55,96,104,107,5.4,16.2,70,185,Asymptomatic,False,1.4,False,Never,1.8,88,9.1,45.6,True,4908,57.5,0
+2190,75,Female,138,91,238,57,114,305,133,6.4,24.4,95,139,Asymptomatic,False,0.4,False,Never,21.3,123,6.8,46.6,False,7992,96.0,1
+2191,42,Male,119,86,184,48,104,156,101,5.8,21.8,70,186,Asymptomatic,False,0.6,False,Never,5.2,212,6.0,29.5,True,8154,48.7,0
+2192,64,Female,136,86,242,45,152,256,129,5.5,33.4,104,125,Typical Angina,True,0.2,False,Never,4.3,10,5.9,89.0,False,4914,42.9,1
+2193,43,Male,139,86,159,36,103,167,146,6.6,20.8,86,186,Asymptomatic,False,1.5,True,Never,6.3,104,8.0,62.0,True,11215,70.1,0
+2194,52,Male,150,99,193,49,105,198,130,6.2,30.1,88,168,Non-Anginal Pain,True,0.1,False,Never,3.9,184,7.1,49.1,True,7809,48.3,0
+2195,60,Female,130,83,202,43,127,134,132,6.0,26.4,89,159,Typical Angina,True,2.1,False,Never,2.6,94,7.3,26.5,True,7255,42.2,1
+2196,36,Male,131,89,194,51,116,166,132,5.9,21.6,77,182,Asymptomatic,False,0.3,True,Never,4.0,166,4.7,41.4,True,9836,70.7,0
+2197,49,Male,117,72,187,40,106,192,110,5.6,22.0,82,187,Non-Anginal Pain,False,0.1,False,Current,7.8,145,6.2,37.2,True,8118,72.5,0
+2198,54,Male,123,77,184,32,102,212,120,5.7,21.1,72,157,Asymptomatic,True,2.6,True,Never,16.0,107,5.3,20.5,False,7503,60.2,1
+2199,61,Female,125,82,189,63,113,73,61,4.9,19.4,90,148,Atypical Angina,False,0.7,True,Never,0.4,194,6.0,55.4,False,6312,100.0,0
+2200,51,Male,117,68,168,74,76,101,123,5.5,21.4,64,176,Asymptomatic,False,0.6,False,Never,3.3,115,6.7,58.0,False,6089,63.0,0
+2201,90,Male,131,84,147,59,79,116,140,6.4,19.7,78,137,Asymptomatic,False,1.5,False,Never,9.4,197,7.3,35.7,True,4469,58.5,0
+2202,78,Male,131,95,176,45,105,170,119,5.8,26.8,74,153,Asymptomatic,False,0.4,False,Never,5.0,66,6.7,56.2,False,5325,55.4,0
+2203,25,Male,97,55,130,49,80,62,89,4.9,20.6,86,194,Atypical Angina,False,0.3,False,Never,2.8,108,7.6,46.6,True,10617,60.5,0
+2204,56,Male,138,92,118,65,35,146,124,6.0,22.1,80,185,Atypical Angina,False,0.6,False,Former,1.9,133,5.3,43.1,False,4855,73.1,0
+2205,61,Male,110,79,191,79,74,188,125,5.6,21.5,75,165,Asymptomatic,False,1.7,False,Never,1.9,285,5.0,59.2,False,7875,79.5,0
+2206,58,Male,118,91,157,52,93,120,134,6.0,23.7,81,131,Asymptomatic,False,0.8,False,Never,9.9,131,6.4,56.2,True,6923,35.3,1
+2207,72,Male,155,96,213,56,109,210,140,6.8,30.3,86,135,Asymptomatic,False,0.6,True,Never,13.6,0,6.9,56.6,False,1303,58.0,0
+2208,18,Male,109,70,187,29,121,175,131,5.7,28.5,91,191,Asymptomatic,True,1.0,False,Current,3.0,136,8.1,51.0,False,4587,53.0,1
+2209,40,Female,108,73,212,59,132,123,122,5.9,28.8,84,178,Non-Anginal Pain,False,0.7,False,Never,4.5,190,7.6,34.1,True,7705,36.9,0
+2210,74,Female,132,83,181,31,116,128,95,5.3,31.8,70,130,Asymptomatic,False,0.2,False,Current,3.5,217,7.4,73.1,True,7853,66.7,1
+2211,70,Female,142,97,193,51,96,190,114,5.5,23.9,77,142,Asymptomatic,False,0.9,True,Never,8.0,28,8.1,35.2,False,2781,33.6,0
+2212,84,Male,136,84,194,45,105,214,119,6.1,27.9,69,121,Non-Anginal Pain,False,0.7,False,Former,2.9,162,6.6,33.4,True,7584,77.4,1
+2213,76,Male,158,105,190,32,141,113,79,4.6,32.2,90,130,Atypical Angina,True,0.5,True,Never,4.7,118,6.3,46.3,False,6084,64.5,1
+2214,37,Male,123,78,209,56,116,165,66,4.6,24.7,82,176,Asymptomatic,False,0.0,False,Former,2.7,239,7.1,38.9,False,6700,79.0,0
+2215,67,Female,156,98,151,68,67,86,125,6.2,20.7,94,170,Non-Anginal Pain,False,0.1,False,Former,2.0,123,8.3,54.5,False,5679,57.0,0
+2216,50,Female,147,96,177,60,102,99,144,6.8,28.5,86,165,Asymptomatic,False,1.6,False,Never,5.3,157,7.2,60.5,False,3564,61.5,0
+2217,57,Male,130,85,166,69,76,63,71,4.2,18.8,72,155,Atypical Angina,False,0.7,False,Never,5.4,194,5.6,57.7,False,8872,63.8,0
+2218,55,Male,128,74,186,54,100,166,158,6.8,25.8,94,146,Asymptomatic,True,0.6,False,Never,10.7,131,6.3,47.0,False,6870,49.9,1
+2219,48,Female,122,95,173,63,68,148,146,6.3,21.7,86,184,Asymptomatic,False,0.9,False,Current,1.3,196,8.5,27.7,True,5286,54.2,0
+2220,47,Male,128,79,173,42,115,142,127,5.9,25.7,82,188,Asymptomatic,False,4.7,False,Former,9.0,38,6.0,47.0,False,7853,49.0,1
+2221,64,Male,140,93,169,41,114,58,119,6.2,22.8,82,161,Atypical Angina,False,0.3,False,Former,1.8,42,5.9,34.1,False,4636,71.5,1
+2222,47,Female,117,72,126,60,45,145,115,5.5,18.2,67,145,Asymptomatic,False,0.5,True,Never,9.6,210,7.8,41.6,True,3288,82.3,0
+2223,57,Female,131,89,224,75,117,148,144,6.7,22.2,59,173,Typical Angina,False,0.9,False,Never,7.1,131,6.0,32.2,True,7277,58.2,0
+2224,60,Male,133,70,155,49,85,158,122,6.1,23.5,73,145,Asymptomatic,False,0.0,False,Never,21.9,203,8.0,50.5,False,4161,47.8,0
+2225,47,Male,123,82,174,57,96,143,99,5.1,32.2,79,174,Non-Anginal Pain,False,0.6,True,Never,1.8,150,7.8,63.2,False,5528,80.9,0
+2226,50,Female,106,80,219,70,96,146,147,6.2,28.6,68,161,Asymptomatic,False,0.4,False,Never,0.0,106,9.0,43.3,False,5199,54.8,0
+2227,69,Male,126,82,259,41,168,213,140,6.5,27.8,93,131,Non-Anginal Pain,False,1.0,True,Never,4.4,0,5.5,68.9,False,3911,51.2,1
+2228,32,Male,123,93,186,63,80,188,127,5.7,19.5,63,179,Atypical Angina,False,2.9,False,Former,1.9,120,8.3,37.0,False,8340,53.5,0
+2229,45,Male,144,101,190,58,106,142,88,5.3,21.5,73,190,Non-Anginal Pain,False,1.4,True,Never,13.2,100,6.1,55.0,True,7435,60.1,0
+2230,37,Female,111,72,202,66,113,127,146,6.6,28.0,84,178,Asymptomatic,True,0.0,False,Former,3.0,64,5.4,39.8,False,3090,66.6,0
+2231,57,Male,134,73,211,45,115,225,116,5.2,28.7,80,144,Asymptomatic,False,0.0,True,Never,5.3,61,6.8,78.1,True,10118,51.7,1
+2232,89,Male,166,105,173,33,97,237,87,5.0,26.0,83,147,Non-Anginal Pain,False,1.4,True,Never,17.9,68,7.4,29.1,False,4738,74.8,1
+2233,38,Female,98,63,204,64,111,118,121,6.1,22.4,79,169,Atypical Angina,True,0.1,False,Never,4.6,162,7.6,43.6,True,8717,22.9,0
+2234,70,Female,146,87,172,61,67,145,149,6.4,26.4,70,166,Atypical Angina,False,2.7,False,Never,14.9,143,7.7,52.9,True,5370,79.4,0
+2235,72,Female,140,77,200,53,115,87,153,7.2,23.0,72,168,Asymptomatic,False,1.4,True,Never,5.9,78,7.8,45.7,True,5780,52.8,0
+2236,26,Male,106,66,178,60,105,134,97,4.8,33.2,79,188,Atypical Angina,False,1.0,False,Never,8.4,210,8.7,58.1,False,7852,59.8,0
+2237,37,Male,128,93,179,48,105,170,116,5.7,28.4,83,195,Asymptomatic,False,0.7,True,Former,1.9,176,9.6,71.4,True,8957,62.5,0
+2238,54,Male,128,79,174,37,108,96,95,5.3,21.5,71,161,Asymptomatic,False,0.2,False,Former,2.2,125,7.1,30.0,True,7374,58.9,0
+2239,41,Male,136,90,218,46,126,208,129,6.3,26.0,74,142,Non-Anginal Pain,True,0.4,True,Never,6.6,123,8.4,56.8,False,2307,60.4,1
+2240,58,Male,127,69,203,62,105,164,99,5.0,23.9,71,155,Non-Anginal Pain,False,1.6,False,Never,6.8,159,8.2,53.8,True,5825,59.7,1
+2241,72,Male,115,70,198,47,138,113,97,4.9,17.6,79,131,Asymptomatic,True,0.6,False,Current,4.3,69,6.7,41.9,False,4128,52.3,1
+2242,63,Male,130,88,170,48,81,255,154,5.9,24.8,93,147,Asymptomatic,False,1.6,True,Never,4.7,149,8.0,40.1,True,6295,76.6,0
+2243,51,Male,121,77,167,46,100,109,125,6.1,22.2,90,173,Asymptomatic,False,0.3,False,Never,3.8,143,6.2,30.6,False,8882,53.1,0
+2244,61,Female,119,83,231,66,143,160,72,4.4,17.3,82,161,Asymptomatic,True,0.6,False,Former,3.9,278,6.2,71.9,False,7498,57.7,0
+2245,59,Female,143,98,250,71,135,197,143,5.8,28.8,72,176,Typical Angina,True,2.1,False,Never,9.8,232,4.8,60.9,True,7683,74.5,1
+2246,38,Female,125,89,179,55,103,122,107,5.5,28.9,80,168,Typical Angina,False,0.9,False,Never,3.6,53,7.1,47.7,False,3341,66.8,0
+2247,46,Male,155,98,119,37,59,162,145,6.7,28.6,79,188,Asymptomatic,True,0.7,True,Never,1.7,113,7.2,55.2,False,6989,90.9,0
+2248,60,Female,113,74,157,53,72,68,103,5.3,19.0,82,177,Non-Anginal Pain,False,0.4,False,Never,16.3,182,6.9,75.5,False,6159,55.4,0
+2249,53,Female,127,75,130,53,54,130,106,6.0,23.7,70,173,Asymptomatic,False,0.1,False,Never,8.3,206,8.4,38.1,False,7755,66.1,0
+2250,58,Female,98,70,170,74,89,35,85,5.1,23.3,78,161,Non-Anginal Pain,False,1.9,True,Never,0.3,166,6.1,23.8,True,7410,88.3,0
+2251,66,Female,137,81,218,63,129,205,108,5.7,24.1,97,158,Non-Anginal Pain,False,0.5,False,Never,0.4,12,6.5,40.7,False,4877,79.2,0
+2252,23,Female,101,75,189,41,127,104,100,4.6,18.3,78,200,Non-Anginal Pain,False,0.1,True,Never,0.9,158,7.9,43.5,False,3668,55.4,0
+2253,73,Male,137,80,158,47,79,158,116,5.8,23.7,86,151,Asymptomatic,False,0.5,False,Former,7.6,79,8.5,43.3,False,1689,41.0,0
+2254,29,Female,118,72,172,69,56,162,143,6.3,25.5,75,205,Asymptomatic,False,0.7,False,Never,1.7,220,6.5,46.9,True,6891,64.6,0
+2255,54,Male,149,103,203,47,116,130,135,6.4,28.2,81,164,Atypical Angina,False,2.4,False,Former,1.6,34,6.2,84.4,False,5858,62.2,0
+2256,56,Male,140,90,208,46,129,162,112,5.7,26.7,61,139,Typical Angina,False,1.5,False,Never,6.4,227,7.5,52.7,False,6626,59.8,1
+2257,52,Female,129,86,179,42,95,224,130,5.8,31.0,82,168,Typical Angina,True,1.7,False,Current,2.6,131,8.4,45.4,False,4342,22.2,1
+2258,56,Female,139,79,194,42,122,126,124,6.0,25.9,90,183,Asymptomatic,False,0.1,True,Former,0.4,153,5.0,71.0,True,5608,77.6,0
+2259,47,Female,116,67,166,53,79,153,130,6.0,22.5,86,188,Asymptomatic,False,0.5,False,Never,4.4,157,7.6,34.5,False,833,65.5,0
+2260,44,Male,123,76,185,48,110,134,154,6.5,20.5,73,197,Typical Angina,False,0.3,False,Former,5.0,32,7.6,65.6,False,3443,36.2,0
+2261,53,Male,134,76,202,50,104,191,126,5.6,27.8,79,156,Typical Angina,True,1.9,False,Never,6.5,179,6.6,29.6,False,1498,56.9,1
+2262,56,Male,150,94,117,45,35,222,113,5.5,24.5,71,179,Non-Anginal Pain,False,0.6,False,Never,2.7,82,7.1,36.2,False,2753,58.4,0
+2263,45,Male,114,63,192,70,83,227,74,5.4,22.4,84,178,Non-Anginal Pain,False,1.3,True,Current,2.4,123,5.6,38.4,True,7190,43.3,0
+2264,58,Female,113,78,204,66,109,174,139,6.0,31.5,82,156,Non-Anginal Pain,False,1.1,True,Former,0.5,181,6.7,56.6,False,6195,73.9,0
+2265,43,Male,149,91,202,44,116,240,169,7.2,37.3,98,156,Non-Anginal Pain,True,1.6,True,Never,21.5,73,7.9,56.0,False,6827,65.5,1
+2266,46,Male,139,96,188,61,85,170,119,5.7,28.3,91,167,Typical Angina,False,6.5,True,Former,20.2,111,6.9,34.0,False,7165,57.5,1
+2267,51,Female,139,92,235,71,138,145,121,4.8,25.5,75,177,Asymptomatic,False,0.2,False,Current,4.4,200,7.3,58.7,True,7742,66.2,0
+2268,60,Female,146,88,165,63,75,88,136,6.0,20.5,75,156,Asymptomatic,False,1.9,False,Never,8.1,136,8.7,86.9,True,8097,94.1,0
+2269,50,Male,124,79,182,57,85,150,123,6.2,23.1,83,179,Non-Anginal Pain,False,1.1,False,Never,10.8,97,5.4,68.2,True,7690,56.7,0
+2270,59,Female,135,71,184,53,92,191,108,5.3,21.1,87,162,Asymptomatic,False,0.4,True,Never,1.2,236,8.3,42.6,True,8310,58.1,0
+2271,75,Male,138,93,132,60,46,135,158,7.2,28.0,98,146,Atypical Angina,False,1.9,False,Never,4.2,131,8.1,35.5,True,8441,82.5,0
+2272,48,Male,118,74,202,71,86,200,120,5.9,29.1,77,169,Asymptomatic,False,0.4,False,Never,14.5,150,6.4,73.7,True,8400,67.9,0
+2273,71,Male,129,88,202,50,117,153,119,5.4,18.8,76,139,Asymptomatic,False,0.9,False,Former,8.1,111,6.1,39.6,False,2515,39.1,1
+2274,37,Male,118,80,155,59,89,73,135,6.1,29.7,89,181,Asymptomatic,False,1.0,False,Current,11.9,209,6.6,27.2,True,8219,52.0,0
+2275,62,Male,139,91,224,51,137,163,139,5.6,25.8,88,124,Asymptomatic,True,0.4,False,Current,10.6,42,6.3,42.3,False,6559,50.6,1
+2276,51,Male,132,86,180,33,102,217,149,7.4,20.8,85,139,Atypical Angina,True,0.6,False,Never,5.8,38,5.5,53.6,False,6091,48.4,1
+2277,81,Female,106,56,212,72,128,47,110,5.7,20.6,97,163,Asymptomatic,False,1.5,True,Never,10.5,209,6.5,37.5,False,3728,53.7,0
+2278,47,Male,120,69,180,53,77,226,107,5.6,29.2,76,184,Asymptomatic,False,0.1,False,Never,18.1,128,8.8,40.2,True,8738,64.5,0
+2279,43,Male,124,74,249,48,161,148,119,6.1,25.7,85,150,Asymptomatic,True,0.4,False,Never,1.7,145,6.1,43.5,False,4721,32.3,1
+2280,68,Male,153,94,205,54,99,208,132,5.9,27.3,84,167,Asymptomatic,False,1.0,False,Never,1.9,126,7.8,47.5,True,4352,60.8,0
+2281,59,Male,124,80,217,51,133,147,68,4.7,23.4,83,156,Atypical Angina,True,0.6,True,Former,2.0,114,7.9,70.8,False,7585,59.7,0
+2282,55,Male,135,87,175,46,93,124,91,4.9,24.3,94,142,Typical Angina,True,1.6,False,Former,6.8,27,7.5,49.0,False,2072,60.9,1
+2283,22,Male,118,85,223,73,135,121,127,5.6,27.5,89,200,Atypical Angina,True,0.3,False,Never,3.0,133,6.2,47.7,True,8129,70.7,0
+2284,59,Male,135,79,222,77,113,105,132,5.9,27.4,86,147,Asymptomatic,True,1.1,False,Current,3.1,173,6.5,38.8,False,1647,46.2,1
+2285,52,Female,127,69,177,48,113,65,115,5.7,22.4,83,183,Non-Anginal Pain,False,1.3,False,Former,2.9,83,7.0,27.5,False,5113,64.6,0
+2286,55,Male,116,75,164,50,80,189,109,5.0,25.2,82,176,Asymptomatic,False,2.5,False,Never,3.2,175,7.3,52.1,False,6010,55.9,0
+2287,44,Male,116,75,196,47,99,182,60,4.0,24.5,78,193,Non-Anginal Pain,False,0.6,True,Never,2.0,243,6.9,62.4,False,8055,67.9,0
+2288,71,Male,139,96,149,48,67,101,118,5.9,22.6,74,147,Typical Angina,False,0.3,False,Never,6.6,147,8.1,46.0,False,7096,76.3,0
+2289,54,Female,85,52,236,53,146,125,101,4.9,15.0,61,175,Atypical Angina,False,1.1,False,Never,2.7,249,8.0,32.0,True,7304,56.1,0
+2290,51,Male,93,64,198,52,105,192,148,6.3,26.7,71,160,Non-Anginal Pain,True,0.2,False,Former,3.5,237,5.3,21.6,True,9380,63.8,0
+2291,33,Female,120,80,156,45,94,92,168,6.8,29.5,75,176,Non-Anginal Pain,False,1.2,True,Never,0.9,83,6.8,34.2,False,4107,70.9,0
+2292,51,Male,120,81,219,33,148,104,144,6.7,26.1,71,150,Non-Anginal Pain,True,2.2,False,Never,4.7,39,6.0,40.6,False,4106,52.4,1
+2293,39,Male,102,50,150,33,96,157,91,5.0,29.9,75,185,Asymptomatic,False,0.3,False,Former,2.4,220,6.4,55.2,False,5099,79.6,0
+2294,71,Female,139,80,243,76,138,165,104,5.7,28.5,76,144,Asymptomatic,True,0.3,False,Never,2.1,176,3.4,18.7,True,6820,36.5,0
+2295,57,Female,127,88,226,47,161,155,108,5.5,25.3,67,147,Non-Anginal Pain,True,1.1,False,Current,0.8,171,7.0,43.8,False,4600,41.3,1
+2296,46,Male,157,102,217,36,124,243,150,6.8,37.3,85,179,Asymptomatic,False,3.4,False,Current,13.9,123,8.9,37.1,False,1251,43.6,1
+2297,51,Male,132,93,215,52,114,172,100,5.3,25.1,69,165,Asymptomatic,True,3.0,True,Never,9.0,138,6.6,30.3,False,4774,61.4,1
+2298,72,Male,155,98,195,56,117,183,124,5.9,31.1,87,130,Non-Anginal Pain,False,1.1,False,Former,6.9,115,7.5,69.6,False,1684,63.4,0
+2299,55,Female,118,70,191,67,88,197,113,5.9,31.0,78,166,Non-Anginal Pain,False,1.6,False,Never,1.4,144,7.7,66.8,False,4554,58.9,0
+2300,53,Male,140,101,209,46,134,113,131,6.3,32.9,100,158,Asymptomatic,True,1.7,True,Former,8.2,58,5.5,38.3,False,4728,40.5,1
+2301,78,Female,114,65,245,75,135,137,158,6.4,25.2,81,155,Asymptomatic,False,0.6,True,Never,8.2,112,6.8,64.5,True,6746,69.0,0
+2302,58,Female,131,85,180,48,101,126,110,5.2,29.8,79,165,Non-Anginal Pain,False,1.0,False,Never,4.5,184,8.0,52.9,True,6518,71.5,0
+2303,65,Male,160,89,150,41,65,193,109,4.9,26.2,81,160,Non-Anginal Pain,False,0.6,True,Former,11.9,178,7.5,90.2,False,7581,57.9,0
+2304,49,Male,112,81,200,47,133,147,91,5.5,27.9,85,169,Typical Angina,True,0.9,False,Never,3.0,159,6.6,20.4,False,6440,47.9,1
+2305,49,Female,146,91,186,44,109,145,100,4.7,23.9,79,161,Non-Anginal Pain,False,0.1,False,Never,13.9,169,7.4,46.1,True,4484,84.9,0
+2306,65,Male,136,93,208,66,126,95,148,6.4,27.4,57,155,Non-Anginal Pain,True,1.1,False,Never,1.5,168,5.5,40.6,False,7391,47.3,0
+2307,53,Male,135,81,167,51,89,148,94,5.0,27.0,92,171,Atypical Angina,False,0.1,False,Former,8.6,132,7.4,59.7,False,6793,61.2,0
+2308,58,Male,114,65,197,57,92,251,110,5.4,23.4,63,182,Typical Angina,False,0.4,False,Former,25.3,138,7.2,28.6,False,6318,68.5,0
+2309,53,Female,114,66,228,78,108,180,139,6.4,22.7,83,178,Asymptomatic,False,2.5,False,Never,0.4,34,7.0,54.7,False,5557,63.1,0
+2310,54,Male,113,75,198,65,106,161,129,6.4,26.8,80,178,Asymptomatic,False,0.6,True,Never,11.9,224,6.7,49.3,False,6214,58.8,0
+2311,52,Male,159,107,183,43,104,184,113,5.6,31.2,74,176,Asymptomatic,False,0.2,False,Never,13.6,69,9.0,63.8,False,9187,76.9,0
+2312,36,Male,137,73,144,58,63,148,146,5.8,26.4,85,210,Typical Angina,True,2.2,False,Never,4.7,97,7.9,50.1,True,7174,61.8,0
+2313,71,Female,123,74,166,76,73,77,153,6.4,21.4,53,136,Asymptomatic,False,0.7,True,Never,5.9,121,5.6,31.6,True,6299,70.2,0
+2314,46,Female,107,64,230,66,123,249,141,6.0,26.7,80,199,Non-Anginal Pain,False,0.5,False,Former,7.9,103,6.5,44.2,False,4303,58.6,0
+2315,38,Male,125,78,207,46,127,166,116,5.9,23.4,61,182,Asymptomatic,False,0.1,True,Never,9.3,130,8.7,60.5,True,7042,88.2,0
+2316,55,Male,109,63,198,69,115,85,124,6.0,22.8,76,176,Typical Angina,False,0.2,False,Never,2.7,212,7.7,20.6,True,7434,73.5,0
+2317,45,Male,135,86,246,38,158,255,106,5.6,31.2,83,175,Atypical Angina,False,1.7,True,Never,25.5,200,6.7,47.7,True,6255,47.1,1
+2318,70,Male,118,73,227,20,159,220,144,7.1,32.8,86,126,Non-Anginal Pain,True,1.1,False,Current,15.3,129,6.2,37.7,False,6833,36.1,1
+2319,62,Female,137,99,203,66,97,94,127,5.9,25.3,77,178,Asymptomatic,True,1.0,False,Never,2.5,112,7.9,56.2,False,6772,82.1,0
+2320,46,Male,145,97,265,74,138,225,138,6.2,31.1,86,169,Atypical Angina,True,1.9,False,Never,5.6,92,6.5,95.7,False,2852,52.5,1
+2321,42,Female,132,74,160,67,66,132,97,5.7,21.9,75,201,Non-Anginal Pain,False,0.5,False,Never,17.9,214,6.7,57.0,True,7727,66.8,0
+2322,62,Male,151,100,199,67,97,195,135,6.4,31.3,103,129,Asymptomatic,False,1.8,False,Current,8.3,24,5.4,52.3,False,2840,36.7,1
+2323,45,Male,126,81,191,49,112,127,117,5.9,26.9,80,167,Asymptomatic,False,3.6,False,Current,9.7,157,8.0,54.8,False,10238,56.8,1
+2324,36,Female,143,92,197,54,105,257,151,6.5,30.9,83,181,Asymptomatic,False,1.7,True,Never,6.2,175,7.2,61.2,True,8905,42.4,0
+2325,32,Female,112,69,151,45,88,49,109,6.0,24.2,71,194,Non-Anginal Pain,True,0.3,True,Former,0.5,48,7.6,60.9,False,4899,80.4,0
+2326,63,Male,148,88,218,66,136,96,112,5.6,33.2,83,133,Asymptomatic,True,0.7,True,Former,3.4,111,6.1,45.1,False,1326,77.8,1
+2327,33,Female,121,79,154,69,64,179,90,4.9,20.8,73,207,Non-Anginal Pain,False,1.4,False,Never,1.6,287,6.7,46.5,True,10270,65.1,0
+2328,38,Female,101,54,188,79,86,180,134,5.8,19.0,70,150,Asymptomatic,False,1.1,False,Former,4.9,55,7.1,60.8,False,7757,54.5,1
+2329,63,Male,143,99,242,67,133,190,108,5.5,25.8,73,173,Atypical Angina,True,2.7,False,Former,7.4,130,7.7,83.8,False,6421,47.6,1
+2330,64,Female,134,74,254,45,169,201,139,6.5,27.1,77,132,Asymptomatic,False,4.5,True,Never,5.0,170,7.6,53.2,True,6315,61.6,1
+2331,38,Female,120,77,215,55,114,184,109,5.3,26.2,91,204,Asymptomatic,False,0.6,True,Never,3.2,172,7.0,35.2,True,7468,39.9,0
+2332,46,Female,97,62,208,70,129,144,124,6.1,24.6,71,177,Typical Angina,True,1.3,False,Never,3.9,143,7.6,38.4,True,9008,65.1,0
+2333,66,Female,125,85,204,74,105,174,127,5.8,22.3,77,191,Asymptomatic,False,1.2,False,Never,3.9,231,6.4,32.5,True,7848,61.4,0
+2334,56,Female,124,80,228,84,136,35,77,4.8,15.6,78,167,Asymptomatic,False,0.5,False,Never,0.4,173,6.2,58.0,False,4687,74.6,0
+2335,48,Female,102,64,194,50,133,102,121,5.8,28.3,88,186,Non-Anginal Pain,False,2.2,True,Current,1.3,149,5.8,36.0,False,5207,71.2,1
+2336,55,Male,127,88,157,47,106,52,129,6.5,19.7,89,163,Asymptomatic,False,0.5,False,Current,6.4,194,7.4,52.0,False,5510,52.2,0
+2337,59,Male,139,92,163,30,84,161,116,6.1,26.6,96,171,Non-Anginal Pain,False,1.0,False,Never,9.2,122,7.3,92.8,True,9145,68.8,0
+2338,39,Female,137,88,184,59,98,102,120,5.5,23.4,94,187,Asymptomatic,False,0.4,True,Former,5.0,86,7.2,30.4,False,2532,55.5,0
+2339,40,Male,120,64,229,69,135,175,106,5.4,23.0,74,190,Asymptomatic,False,0.9,False,Never,6.0,218,6.2,59.8,True,6846,53.5,0
+2340,68,Female,137,90,217,60,131,113,131,6.0,24.3,76,143,Asymptomatic,False,3.0,False,Never,1.8,102,7.1,56.0,True,6715,52.4,0
+2341,76,Female,120,82,198,62,111,141,119,5.7,23.3,83,135,Non-Anginal Pain,True,1.0,False,Never,1.7,98,6.6,34.5,False,5081,81.4,0
+2342,65,Male,124,74,237,52,136,243,132,6.5,27.2,95,155,Non-Anginal Pain,True,0.5,False,Former,8.8,64,6.2,61.2,True,4607,63.2,1
+2343,51,Male,136,86,124,37,67,105,118,5.3,24.3,72,174,Non-Anginal Pain,False,0.6,False,Never,15.7,250,7.4,23.1,True,11676,87.3,0
+2344,45,Female,121,79,186,47,103,175,107,5.5,34.7,79,201,Asymptomatic,False,0.4,True,Former,3.4,63,6.4,44.9,False,5783,66.6,0
+2345,54,Female,108,63,209,72,111,171,131,6.2,21.2,76,154,Typical Angina,False,0.5,True,Never,3.1,165,8.9,54.7,False,9145,38.9,0
+2346,67,Female,122,65,198,51,119,198,165,7.5,24.3,82,165,Asymptomatic,False,1.0,False,Current,18.8,198,7.5,42.5,True,6919,26.8,0
+2347,70,Male,139,91,230,45,148,170,151,6.9,27.7,71,129,Typical Angina,False,0.6,False,Never,3.4,65,6.6,24.3,False,4916,78.5,1
+2348,53,Female,151,98,213,65,114,173,125,5.6,28.4,76,165,Non-Anginal Pain,False,1.3,True,Never,6.7,78,5.8,67.9,False,2910,48.2,0
+2349,59,Male,136,90,190,56,94,163,146,6.6,28.5,88,163,Asymptomatic,False,0.9,False,Never,23.6,57,7.1,49.6,False,4174,65.3,0
+2350,35,Female,114,69,174,45,101,141,168,6.3,25.4,81,192,Asymptomatic,False,0.9,True,Never,4.0,136,8.2,52.5,True,10245,43.6,0
+2351,52,Female,117,71,243,56,137,228,141,6.8,24.2,79,150,Typical Angina,False,2.0,True,Former,0.7,92,6.1,8.3,False,6844,68.4,1
+2352,73,Female,133,85,202,69,99,204,75,4.5,25.9,85,143,Asymptomatic,False,0.0,True,Former,8.7,96,6.6,42.5,False,6063,45.3,1
+2353,52,Female,130,82,225,61,132,157,128,5.9,27.3,77,161,Non-Anginal Pain,False,0.1,False,Former,1.1,123,6.6,64.6,False,5868,78.3,1
+2354,60,Female,125,89,172,52,93,150,122,6.3,27.5,76,125,Typical Angina,True,1.6,False,Never,3.7,40,6.2,76.4,False,3930,58.7,1
+2355,65,Female,132,84,200,57,103,165,122,6.4,25.1,92,129,Asymptomatic,True,0.3,True,Never,3.5,74,3.8,65.4,False,4598,52.8,1
+2356,64,Female,129,85,186,40,99,202,99,4.9,30.9,86,138,Asymptomatic,True,2.5,False,Current,18.0,60,6.4,43.1,False,4669,56.2,1
+2357,55,Male,109,62,229,32,126,266,133,6.3,33.0,93,150,Atypical Angina,True,0.8,False,Current,2.0,141,7.5,45.0,True,8753,48.8,1
+2358,46,Female,124,77,218,68,135,96,160,7.0,25.8,82,179,Asymptomatic,False,2.4,False,Never,2.3,121,5.9,19.8,False,1628,45.7,0
+2359,25,Male,123,80,154,31,97,133,162,7.2,27.5,88,194,Asymptomatic,False,2.0,False,Current,5.6,117,7.0,42.2,False,4127,68.4,1
+2360,39,Male,125,78,216,58,110,212,68,4.5,19.3,78,178,Asymptomatic,False,0.9,False,Never,3.8,217,8.0,47.3,True,7778,40.4,0
+2361,50,Female,155,86,193,71,94,152,126,6.3,26.7,92,169,Non-Anginal Pain,False,0.4,True,Never,3.5,136,7.3,44.0,False,4658,65.7,0
+2362,63,Male,133,82,188,46,111,176,137,6.3,28.9,87,148,Asymptomatic,False,1.2,True,Never,2.7,69,5.8,38.5,False,4122,56.3,0
+2363,56,Male,143,79,239,52,160,117,150,6.0,24.4,72,137,Asymptomatic,True,1.2,False,Former,2.4,58,5.7,47.8,False,5307,57.3,1
+2364,68,Female,127,86,195,54,102,226,98,4.7,28.9,79,166,Typical Angina,False,0.3,False,Current,1.7,106,7.3,48.1,False,1423,32.6,0
+2365,38,Male,137,81,198,78,92,122,101,5.5,22.3,88,191,Non-Anginal Pain,False,0.4,False,Never,2.0,123,4.2,47.2,True,7106,49.1,0
+2366,31,Female,119,69,163,54,90,149,128,5.8,25.0,77,186,Typical Angina,False,0.8,False,Never,0.6,157,7.1,41.3,False,6369,38.6,0
+2367,61,Female,143,90,233,42,152,203,112,5.9,27.7,73,132,Non-Anginal Pain,True,1.9,False,Former,0.1,204,6.9,61.0,True,10336,28.0,1
+2368,77,Female,125,89,219,41,144,124,94,4.9,18.9,76,172,Non-Anginal Pain,False,0.3,False,Former,1.7,108,6.4,49.1,False,5283,44.8,0
+2369,56,Female,131,80,167,26,103,168,142,6.1,25.9,81,123,Atypical Angina,False,1.9,False,Former,7.1,46,7.0,60.1,False,1193,62.9,1
+2370,46,Female,114,75,199,82,89,138,83,4.4,20.5,94,178,Non-Anginal Pain,True,4.4,True,Former,2.6,183,5.5,60.5,False,6403,81.3,0
+2371,65,Male,151,93,145,24,82,184,120,5.9,21.3,75,130,Non-Anginal Pain,True,1.0,False,Former,9.0,40,7.2,30.0,False,5602,61.6,1
+2372,72,Male,133,71,208,48,118,170,91,4.4,26.1,74,129,Asymptomatic,False,1.7,False,Current,5.2,205,8.3,57.6,False,1921,40.8,1
+2373,38,Female,135,82,134,64,58,112,166,7.3,27.5,75,201,Non-Anginal Pain,False,0.3,True,Never,4.7,115,9.4,75.3,False,5334,52.7,0
+2374,49,Male,142,91,202,50,129,141,92,5.3,24.4,79,174,Atypical Angina,False,1.1,True,Never,10.1,153,6.9,59.9,False,5776,37.2,0
+2375,67,Female,137,94,198,69,95,150,118,6.0,26.0,78,151,Asymptomatic,False,0.3,False,Former,2.3,100,7.9,57.8,False,777,58.2,0
+2376,57,Male,99,58,240,85,140,103,128,5.8,21.7,86,154,Atypical Angina,False,2.2,False,Current,1.6,117,7.6,30.6,True,6280,45.3,1
+2377,43,Male,142,93,159,39,96,134,72,4.4,29.8,82,168,Asymptomatic,False,0.8,False,Never,3.2,77,5.1,62.5,False,4176,61.8,0
+2378,50,Female,126,85,185,38,126,114,107,5.0,29.6,87,144,Asymptomatic,False,0.9,False,Never,0.1,121,8.2,55.3,True,6678,43.7,0
+2379,42,Female,105,73,214,73,117,147,116,5.1,20.9,83,190,Asymptomatic,False,0.6,False,Never,2.2,84,6.3,75.2,True,3441,58.7,0
+2380,35,Male,117,74,129,46,58,84,101,5.3,23.8,90,168,Non-Anginal Pain,False,0.2,False,Never,5.2,112,7.0,56.7,False,6411,47.0,0
+2381,58,Male,149,91,181,38,120,114,107,5.0,19.8,75,146,Asymptomatic,False,0.3,False,Never,2.8,16,6.4,61.1,False,6223,51.8,0
+2382,37,Male,118,64,213,53,116,236,129,6.1,28.1,96,209,Asymptomatic,False,0.1,True,Never,6.8,84,8.0,64.6,False,4434,48.1,0
+2383,52,Female,126,93,204,49,114,182,143,6.5,26.6,96,143,Asymptomatic,False,1.1,False,Never,0.1,159,7.1,43.3,True,8869,67.3,1
+2384,41,Female,128,81,128,57,49,109,77,5.0,22.7,93,194,Typical Angina,False,0.8,True,Never,3.5,233,7.1,59.6,True,7045,68.6,0
+2385,59,Female,132,79,189,61,90,175,60,4.0,20.3,85,142,Atypical Angina,False,0.1,False,Current,8.7,210,7.4,57.4,True,5001,45.7,0
+2386,49,Female,150,98,176,53,97,182,113,5.5,27.0,86,153,Non-Anginal Pain,False,1.1,False,Current,0.3,74,6.2,41.9,True,7841,32.3,0
+2387,50,Male,127,90,181,65,98,67,164,6.7,21.6,68,162,Typical Angina,True,0.5,False,Never,10.3,82,5.9,70.2,False,2658,73.9,1
+2388,34,Male,106,61,196,66,83,221,113,5.9,21.2,92,184,Asymptomatic,False,1.4,False,Former,5.3,341,6.4,43.9,True,11925,100.0,0
+2389,56,Female,143,92,142,35,96,54,122,5.5,24.0,84,143,Asymptomatic,True,1.8,False,Never,2.9,67,6.1,46.0,False,5824,42.3,0
+2390,48,Male,127,74,186,46,117,93,125,5.7,17.4,81,197,Asymptomatic,False,0.1,False,Never,5.7,209,8.3,23.7,False,5028,80.8,0
+2391,43,Male,132,89,177,64,82,149,112,5.7,15.5,86,168,Atypical Angina,False,1.3,False,Never,2.3,166,8.4,56.7,False,6624,61.6,0
+2392,59,Female,128,79,215,48,136,185,100,5.2,23.2,86,137,Asymptomatic,False,1.4,True,Current,3.0,201,9.0,46.5,True,6195,51.4,1
+2393,65,Female,96,51,188,65,94,148,106,5.1,22.9,82,157,Non-Anginal Pain,False,1.7,False,Never,1.4,235,6.7,0.0,True,7766,60.5,0
+2394,75,Male,115,73,214,87,105,155,99,4.8,16.2,69,125,Typical Angina,False,3.3,True,Current,5.2,164,9.0,43.9,True,6299,43.7,1
+2395,56,Female,118,70,182,52,108,65,122,5.3,27.4,81,181,Non-Anginal Pain,False,0.5,True,Never,1.1,139,6.8,48.3,False,11188,70.8,0
+2396,56,Male,127,97,195,54,116,107,86,5.6,26.7,81,152,Asymptomatic,False,0.3,False,Former,3.6,35,8.2,44.1,False,6399,63.4,0
+2397,41,Male,147,95,185,41,105,150,103,5.7,23.1,67,150,Asymptomatic,False,1.0,True,Never,8.5,162,7.2,77.4,False,2889,71.5,1
+2398,45,Male,101,62,191,83,86,121,104,6.0,26.2,77,173,Asymptomatic,False,0.5,False,Former,4.0,172,7.4,33.4,True,10906,77.8,0
+2399,68,Male,116,80,183,53,106,143,131,5.4,26.6,70,177,Asymptomatic,False,0.2,False,Never,2.8,57,6.1,25.1,False,3941,63.4,0
+2400,48,Female,99,57,203,52,136,113,133,6.4,24.3,90,176,Asymptomatic,True,0.6,False,Never,1.5,87,8.0,64.6,False,5334,61.6,1
+2401,77,Male,137,91,163,52,64,209,129,6.3,28.4,72,151,Asymptomatic,False,1.7,False,Never,10.3,300,6.4,59.1,True,4268,54.6,0
+2402,37,Female,129,86,208,82,117,35,118,5.4,20.4,78,175,Non-Anginal Pain,False,0.2,False,Former,2.6,217,8.2,60.5,False,7812,82.3,0
+2403,52,Male,95,62,190,67,102,60,116,6.1,26.8,84,173,Asymptomatic,True,0.8,False,Former,2.1,175,5.8,52.8,False,5875,66.3,0
+2404,51,Male,104,58,147,68,53,211,82,5.0,28.4,91,162,Atypical Angina,False,2.0,True,Former,7.1,141,7.4,51.0,True,5278,59.3,0
+2405,45,Female,119,76,216,52,123,160,138,6.5,23.9,79,157,Typical Angina,False,0.7,False,Never,2.6,20,7.7,41.5,False,7029,49.9,1
+2406,50,Female,149,96,165,46,83,174,121,5.7,30.2,89,155,Atypical Angina,False,0.7,False,Never,5.8,102,8.2,49.5,False,7746,56.3,0
+2407,51,Female,114,70,202,60,97,186,127,6.1,28.0,67,134,Typical Angina,False,0.8,True,Former,2.1,102,6.5,51.0,False,3361,73.2,1
+2408,56,Female,133,75,214,53,118,211,126,6.1,26.3,80,169,Asymptomatic,False,0.5,False,Never,14.6,101,7.3,52.3,False,6004,50.6,0
+2409,53,Female,147,97,203,46,112,225,124,6.1,32.5,94,163,Atypical Angina,False,2.7,True,Current,15.3,109,5.7,76.7,False,2912,43.4,1
+2410,67,Male,143,92,165,45,97,115,150,6.6,20.3,106,166,Asymptomatic,False,0.9,False,Current,2.7,166,6.8,76.5,True,6931,67.2,0
+2411,86,Female,138,76,181,62,115,35,111,5.7,18.8,84,119,Asymptomatic,True,0.8,False,Current,5.5,111,8.2,64.6,False,7291,61.4,1
+2412,63,Female,139,81,176,53,104,161,116,6.1,29.5,86,160,Asymptomatic,False,0.8,True,Former,2.1,167,7.4,54.6,True,5683,45.9,0
+2413,59,Female,144,90,215,49,112,275,153,6.8,25.5,90,164,Asymptomatic,True,0.9,False,Former,1.1,52,7.0,33.0,True,6392,52.8,1
+2414,41,Female,142,90,187,80,90,35,131,5.8,22.4,84,191,Non-Anginal Pain,False,1.2,True,Former,1.4,167,6.2,42.5,False,6550,87.3,0
+2415,47,Female,105,65,222,45,134,167,147,6.4,32.9,104,171,Asymptomatic,True,0.8,True,Never,4.8,151,6.6,28.4,False,7857,40.2,1
+2416,32,Female,131,78,161,46,86,116,116,5.8,30.6,83,177,Non-Anginal Pain,True,1.4,False,Never,1.0,146,7.8,59.2,False,2795,42.8,0
+2417,60,Female,129,81,191,63,99,49,88,5.0,25.7,92,151,Asymptomatic,False,1.5,False,Current,2.5,124,6.9,47.3,False,3945,58.7,0
+2418,35,Female,122,78,161,68,67,143,92,5.2,19.6,81,182,Typical Angina,False,1.3,False,Never,2.8,180,6.9,39.3,False,6337,60.3,0
+2419,63,Male,138,89,193,36,133,169,95,5.0,27.8,80,128,Typical Angina,False,3.7,True,Former,2.1,74,5.7,46.0,False,5089,55.5,1
+2420,44,Male,119,90,182,44,123,89,137,6.1,23.4,87,199,Non-Anginal Pain,True,1.1,False,Never,2.7,100,7.6,37.4,False,6457,65.7,0
+2421,59,Male,118,83,195,57,121,120,70,4.5,21.2,81,169,Non-Anginal Pain,False,0.0,False,Never,4.8,196,6.2,34.1,False,4169,70.8,0
+2422,61,Male,131,102,185,35,114,168,167,6.4,23.7,77,137,Typical Angina,True,3.9,False,Never,5.4,147,9.5,47.1,False,5685,53.5,1
+2423,29,Female,114,80,157,50,88,89,104,5.1,21.5,80,200,Asymptomatic,False,0.4,True,Never,3.1,252,8.2,40.5,False,7757,66.2,0
+2424,44,Male,119,70,196,59,106,122,170,7.3,22.0,79,172,Asymptomatic,False,0.8,False,Never,2.8,100,7.3,36.8,False,3962,37.8,0
+2425,59,Female,132,80,195,57,110,184,127,6.1,16.9,85,163,Asymptomatic,False,0.1,False,Current,3.4,211,6.1,70.6,True,4656,62.4,0
+2426,60,Female,144,86,204,74,119,48,153,6.9,20.3,88,168,Asymptomatic,False,0.8,False,Never,0.6,130,7.4,40.7,False,5828,53.9,0
+2427,64,Female,132,94,171,60,102,122,138,6.6,28.5,82,175,Non-Anginal Pain,False,1.2,False,Never,2.0,229,6.0,78.6,True,6670,52.9,0
+2428,50,Female,142,88,160,46,99,81,108,6.1,24.3,87,172,Non-Anginal Pain,True,0.4,True,Former,5.8,182,8.5,37.6,False,3820,57.3,0
+2429,53,Male,140,82,170,45,87,189,118,5.3,20.7,85,207,Asymptomatic,False,0.3,False,Current,6.2,0,6.3,84.0,False,7486,52.3,0
+2430,77,Male,149,88,206,57,118,141,109,5.0,26.0,83,153,Asymptomatic,False,1.3,False,Former,8.9,66,7.8,61.9,True,8701,79.6,0
+2431,57,Male,133,83,188,55,85,205,77,4.9,19.3,73,166,Typical Angina,False,2.5,False,Never,6.3,179,8.8,77.2,False,7338,27.3,0
+2432,65,Male,141,96,210,21,152,150,140,6.5,27.6,77,126,Non-Anginal Pain,True,2.3,False,Former,6.1,15,6.0,30.8,False,500,64.6,1
+2433,51,Female,128,86,184,55,93,166,137,5.9,23.8,79,171,Atypical Angina,False,0.1,True,Former,0.8,170,7.4,50.8,True,7127,74.2,0
+2434,34,Male,134,90,189,42,113,164,128,6.1,27.0,78,182,Asymptomatic,True,1.9,False,Never,12.8,160,6.8,37.1,True,6710,94.3,1
+2435,60,Male,131,86,198,32,125,205,106,5.6,26.6,88,140,Asymptomatic,False,2.4,True,Current,2.8,135,7.6,57.7,True,7854,59.8,1
+2436,61,Female,123,64,185,42,132,78,124,6.0,23.6,86,140,Asymptomatic,False,1.2,True,Former,1.8,202,5.8,43.1,True,9150,67.6,1
+2437,66,Male,147,91,182,57,102,127,159,6.8,26.8,85,136,Atypical Angina,False,0.6,False,Former,2.8,142,7.3,51.7,False,4437,46.2,1
+2438,42,Female,117,81,182,43,102,162,89,5.0,34.2,98,167,Atypical Angina,False,1.6,False,Current,3.0,56,7.0,32.8,False,1451,63.1,1
+2439,45,Male,124,82,214,60,115,202,107,5.9,25.5,77,156,Non-Anginal Pain,False,1.9,False,Former,6.1,160,9.2,53.9,False,5180,46.0,0
+2440,26,Male,114,74,160,67,71,122,92,4.4,22.7,79,210,Asymptomatic,False,1.3,False,Former,5.2,105,7.9,46.4,False,7800,45.2,0
+2441,61,Male,136,86,152,41,111,38,85,4.8,29.6,74,142,Non-Anginal Pain,False,0.8,True,Never,1.9,187,9.4,25.0,False,4284,48.4,0
+2442,65,Male,121,74,236,68,127,206,110,4.7,22.6,90,173,Asymptomatic,False,0.6,False,Current,7.8,95,8.3,50.6,False,5675,39.9,0
+2443,45,Male,155,98,123,30,67,112,98,5.1,31.7,83,181,Asymptomatic,False,0.6,True,Current,5.8,77,7.9,43.4,True,5534,53.7,0
+2444,48,Male,120,80,154,51,81,69,104,5.6,22.1,76,186,Typical Angina,False,1.5,False,Never,4.5,167,6.7,50.3,True,7945,68.5,0
+2445,51,Male,131,70,216,52,116,232,115,6.3,29.5,76,179,Non-Anginal Pain,False,1.4,False,Never,7.5,156,8.8,53.9,True,3347,46.3,0
+2446,75,Female,132,88,211,80,115,67,123,6.0,23.4,82,152,Atypical Angina,False,0.2,False,Never,3.2,164,9.2,34.1,True,9706,85.6,0
+2447,66,Female,142,96,190,54,106,183,94,4.7,20.9,85,125,Non-Anginal Pain,True,0.4,False,Current,2.9,146,8.5,44.4,False,4253,58.0,1
+2448,69,Male,126,82,174,41,99,156,117,5.4,24.8,78,131,Asymptomatic,True,1.4,False,Current,6.2,126,9.2,41.8,False,500,46.9,1
+2449,52,Female,126,89,214,37,136,155,142,6.9,26.9,84,151,Atypical Angina,False,0.9,True,Current,3.0,173,6.6,48.6,False,6773,59.0,1
+2450,48,Male,127,67,166,41,112,90,120,5.5,28.4,77,150,Atypical Angina,True,1.5,False,Never,1.9,58,7.1,46.3,False,6607,51.0,1
+2451,68,Male,154,101,174,45,92,133,137,6.5,25.9,59,118,Typical Angina,True,0.4,True,Never,4.7,176,6.7,67.4,False,6586,88.5,1
+2452,32,Female,112,59,143,45,89,56,91,5.4,22.3,78,164,Non-Anginal Pain,False,0.2,True,Never,0.1,119,7.5,46.7,False,3455,69.7,0
+2453,61,Female,121,79,157,72,77,89,134,6.5,17.2,73,170,Asymptomatic,False,0.6,True,Never,2.8,145,8.7,46.9,True,6516,60.8,0
+2454,37,Female,93,64,192,78,87,121,97,5.0,22.8,68,171,Asymptomatic,False,2.3,False,Never,4.3,201,8.4,36.8,True,7860,64.2,0
+2455,64,Female,131,71,180,67,89,158,113,5.5,23.4,73,112,Typical Angina,True,1.1,False,Never,8.3,60,6.7,59.9,False,3247,50.7,1
+2456,61,Female,124,86,217,53,129,154,106,6.1,33.0,83,160,Atypical Angina,False,1.0,True,Former,1.0,242,7.3,44.9,True,5546,55.0,0
+2457,42,Male,114,76,187,45,120,163,147,6.4,30.7,83,188,Atypical Angina,False,1.3,False,Former,2.6,140,9.0,42.9,False,2118,61.3,0
+2458,57,Male,142,95,223,58,126,198,120,5.8,24.4,76,178,Atypical Angina,False,0.4,False,Never,17.8,116,8.3,30.9,True,6459,54.1,0
+2459,39,Male,121,79,164,45,102,58,111,4.6,20.0,79,194,Atypical Angina,False,1.1,False,Former,7.4,173,7.4,71.4,True,5647,59.6,0
+2460,40,Female,116,68,204,59,116,182,100,5.3,22.6,72,192,Atypical Angina,False,1.9,False,Former,3.0,214,6.7,11.7,False,7329,51.3,0
+2461,49,Female,136,81,162,47,87,165,70,4.1,24.0,78,146,Atypical Angina,False,0.8,True,Current,0.6,187,7.5,22.7,True,6617,74.3,0
+2462,44,Female,107,65,206,74,90,175,93,4.4,26.4,93,189,Non-Anginal Pain,False,0.6,False,Never,1.6,163,8.8,28.8,False,4803,67.3,0
+2463,67,Female,152,90,211,68,106,250,156,7.2,28.6,80,129,Asymptomatic,True,1.4,False,Former,14.7,168,6.8,51.3,False,6045,45.1,1
+2464,81,Male,150,80,230,62,125,245,144,6.2,30.5,76,139,Non-Anginal Pain,False,0.8,False,Never,4.4,158,7.5,31.5,True,5665,44.3,0
+2465,54,Female,136,86,186,67,89,128,138,5.9,32.3,77,168,Asymptomatic,False,1.0,False,Never,3.4,168,7.4,8.7,True,7595,49.1,0
+2466,54,Male,147,88,229,75,135,102,92,5.1,24.6,70,167,Typical Angina,False,0.6,False,Never,3.0,119,9.5,43.9,False,7563,39.9,0
+2467,64,Female,125,70,141,47,44,214,117,6.0,26.9,87,164,Asymptomatic,False,0.9,False,Never,0.8,160,7.1,50.4,False,6131,73.5,0
+2468,50,Female,140,93,215,64,112,184,106,5.4,21.7,82,178,Atypical Angina,False,1.4,True,Never,12.0,89,7.5,56.1,False,5422,67.2,0
+2469,60,Male,145,83,190,35,117,141,146,6.7,33.5,78,162,Non-Anginal Pain,False,1.2,False,Former,4.3,96,6.9,25.9,False,4037,56.4,1
+2470,29,Female,111,87,185,68,96,125,114,5.2,18.0,67,203,Asymptomatic,False,2.5,True,Former,7.8,232,7.7,55.9,True,8246,52.1,0
+2471,45,Female,104,68,181,57,87,166,82,4.7,20.8,74,208,Asymptomatic,False,0.7,False,Current,2.5,247,6.6,2.6,True,10774,32.6,0
+2472,34,Male,116,64,217,78,129,53,97,5.1,16.1,73,186,Typical Angina,False,0.2,False,Never,3.6,197,6.7,66.3,True,9780,83.2,0
+2473,29,Male,101,62,162,44,99,111,103,5.2,26.5,94,166,Non-Anginal Pain,False,1.5,False,Never,11.3,34,6.5,52.2,True,7591,56.5,0
+2474,66,Female,139,85,201,58,129,49,139,6.2,29.6,85,125,Non-Anginal Pain,False,0.3,False,Never,1.7,109,7.2,59.0,True,6997,41.0,1
+2475,50,Male,112,72,144,62,67,128,128,6.1,26.8,72,153,Non-Anginal Pain,False,1.0,False,Former,1.5,234,6.2,25.6,True,9503,73.1,0
+2476,74,Female,125,90,173,78,96,75,132,6.3,22.9,81,144,Non-Anginal Pain,False,0.1,False,Never,0.3,233,7.6,20.7,True,8044,62.8,0
+2477,73,Female,169,106,165,50,89,66,116,5.8,25.4,73,136,Asymptomatic,True,1.3,False,Never,1.2,93,6.7,65.3,False,4812,53.6,1
+2478,53,Male,138,80,158,34,96,153,151,6.6,28.8,86,145,Asymptomatic,True,0.6,False,Former,1.7,0,7.7,50.0,False,1179,66.5,1
+2479,48,Male,110,80,184,64,93,160,105,4.8,25.1,89,173,Asymptomatic,False,1.4,False,Former,2.4,137,6.3,44.7,True,6073,68.4,0
+2480,44,Female,117,66,159,61,54,200,148,6.5,25.0,92,179,Non-Anginal Pain,False,0.5,False,Former,0.3,139,7.8,62.8,False,3898,77.8,0
+2481,22,Male,125,85,148,32,95,126,124,5.8,24.2,83,154,Atypical Angina,False,0.5,True,Former,9.2,35,5.7,63.7,False,4109,52.2,1
+2482,47,Female,142,100,217,57,125,218,87,4.6,25.3,86,169,Asymptomatic,False,0.9,False,Current,2.1,49,6.9,39.9,False,8047,27.0,0
+2483,50,Male,128,88,213,61,122,157,126,5.6,29.2,69,176,Asymptomatic,False,1.6,False,Never,2.0,124,6.7,84.8,False,8460,59.7,0
+2484,45,Female,129,88,188,62,84,186,113,6.2,15.4,69,188,Asymptomatic,False,2.6,False,Former,11.4,132,6.6,69.5,False,7032,99.5,0
+2485,41,Male,127,72,128,42,51,226,123,5.9,25.0,79,177,Non-Anginal Pain,False,0.6,False,Current,13.0,142,7.1,38.3,False,6414,50.8,0
+2486,53,Female,136,77,224,85,102,215,107,5.1,19.7,79,170,Typical Angina,False,0.6,True,Never,4.0,285,5.8,48.5,True,7217,59.2,0
+2487,49,Female,133,87,188,76,104,35,121,5.7,20.5,65,162,Non-Anginal Pain,False,0.5,False,Former,1.5,168,7.9,47.2,False,9159,60.0,0
+2488,56,Female,139,78,189,62,97,77,160,7.0,26.1,71,191,Asymptomatic,False,1.2,False,Never,0.4,192,7.2,42.0,False,3852,77.1,0
+2489,41,Female,119,76,190,48,126,174,129,5.6,25.7,85,185,Asymptomatic,False,0.0,False,Never,4.8,78,6.7,55.3,True,5688,79.2,0
+2490,78,Female,153,104,229,61,148,150,123,5.9,26.5,78,131,Atypical Angina,False,0.1,True,Former,9.1,135,7.0,48.0,True,6855,39.0,1
+2491,61,Female,160,106,230,56,110,227,122,6.1,23.8,90,167,Atypical Angina,False,0.6,False,Never,13.9,94,5.6,35.8,False,6081,66.7,0
+2492,52,Male,110,69,188,48,124,74,125,6.0,20.6,90,168,Typical Angina,False,0.6,False,Never,3.6,24,5.5,15.9,False,3406,64.6,1
+2493,44,Male,133,80,233,51,132,206,126,5.5,23.5,84,188,Asymptomatic,False,1.1,False,Former,3.0,115,6.3,63.6,False,7514,70.0,0
+2494,41,Male,127,90,188,48,116,69,118,5.6,19.4,93,172,Non-Anginal Pain,False,0.9,False,Never,2.3,169,6.1,57.5,True,10285,72.3,0
+2495,64,Female,109,68,199,61,119,100,71,4.6,17.0,84,150,Asymptomatic,False,0.8,False,Never,1.4,260,5.9,48.1,True,7888,50.7,0
+2496,48,Female,109,62,188,66,94,176,141,6.6,23.2,70,196,Asymptomatic,False,0.8,False,Never,5.7,219,8.1,62.4,False,6150,46.0,0
+2497,54,Male,132,92,186,47,119,122,130,6.2,25.6,76,148,Asymptomatic,True,1.2,True,Former,3.3,144,8.0,59.2,True,4920,58.2,1
+2498,59,Male,116,71,201,57,107,126,132,6.3,26.8,71,171,Asymptomatic,False,0.6,False,Never,2.3,245,6.4,45.9,True,7732,64.7,0
+2499,47,Male,123,88,164,50,92,99,124,5.7,28.0,78,172,Atypical Angina,False,1.1,False,Never,1.7,237,6.0,24.7,True,9894,79.3,0
+2500,57,Female,137,94,181,33,110,166,104,5.6,27.6,88,147,Non-Anginal Pain,True,0.6,True,Former,7.3,90,5.1,45.0,False,6582,39.7,1
+2501,30,Male,107,68,190,76,90,141,92,5.0,26.5,86,187,Asymptomatic,False,0.9,False,Never,1.6,307,3.9,7.5,True,6677,65.4,0
+2502,41,Female,120,72,173,63,99,149,79,4.6,19.1,82,162,Typical Angina,False,0.1,True,Never,8.2,209,7.3,40.3,True,8396,80.6,0
+2503,29,Female,112,83,120,27,65,169,107,5.3,24.7,80,202,Non-Anginal Pain,False,0.1,False,Never,1.9,108,8.6,44.8,False,5960,42.7,0
+2504,48,Male,112,72,254,85,137,144,158,7.2,25.4,64,178,Non-Anginal Pain,False,0.6,False,Never,6.3,262,6.8,83.9,True,4562,52.8,0
+2505,48,Male,132,76,188,56,110,101,121,5.8,21.8,62,183,Atypical Angina,False,1.1,True,Never,5.4,239,6.5,68.2,False,3825,77.8,0
+2506,76,Male,131,80,109,36,68,91,132,6.0,22.0,86,143,Non-Anginal Pain,True,1.0,True,Never,6.5,82,7.7,60.3,False,4230,49.7,1
+2507,43,Female,126,87,192,53,107,161,104,5.6,27.1,75,144,Atypical Angina,True,1.6,False,Current,12.9,153,8.3,55.2,False,7380,35.7,1
+2508,56,Male,154,104,197,30,104,275,60,4.2,28.1,76,166,Asymptomatic,False,0.8,False,Current,13.7,260,9.1,42.3,True,9348,48.6,0
+2509,59,Female,125,82,187,36,127,158,88,5.0,33.6,89,153,Non-Anginal Pain,False,1.4,True,Never,0.7,169,7.7,89.0,True,7472,61.9,1
+2510,72,Male,132,84,188,55,111,92,86,5.3,17.7,82,138,Asymptomatic,False,0.2,True,Never,5.4,202,4.0,39.5,False,5352,82.8,0
+2511,59,Male,109,78,167,66,74,179,104,5.7,28.6,76,160,Non-Anginal Pain,False,0.5,True,Never,5.6,133,7.1,30.7,False,6303,34.7,0
+2512,63,Female,148,97,209,72,104,177,100,5.5,31.2,76,161,Asymptomatic,False,1.4,True,Former,1.4,190,7.6,47.3,False,3961,74.4,0
+2513,77,Female,140,91,238,52,130,237,98,5.4,33.9,92,131,Non-Anginal Pain,False,0.9,False,Current,6.4,105,7.8,80.1,False,6856,52.3,1
+2514,32,Male,126,87,183,49,108,89,114,5.1,21.6,77,190,Non-Anginal Pain,True,1.5,True,Current,21.6,249,7.4,73.5,False,6103,81.5,1
+2515,46,Female,105,71,203,58,106,195,168,7.5,23.7,89,177,Atypical Angina,False,2.8,True,Never,0.7,216,9.1,27.2,True,5636,46.9,0
+2516,49,Female,131,87,198,75,78,153,150,6.3,19.6,81,182,Non-Anginal Pain,True,1.8,False,Former,2.0,134,6.9,32.5,False,2645,42.9,0
+2517,53,Male,133,84,236,66,117,196,117,6.1,18.4,63,160,Asymptomatic,False,1.1,True,Never,11.4,142,8.6,42.5,True,9484,73.5,0
+2518,45,Female,112,58,199,50,121,99,110,6.1,22.6,75,194,Non-Anginal Pain,False,0.5,False,Current,6.6,158,8.2,62.6,False,6527,73.0,0
+2519,67,Female,122,73,109,54,35,120,133,5.9,25.6,84,138,Typical Angina,False,1.1,False,Never,7.6,59,5.1,41.7,False,5250,42.6,0
+2520,45,Male,126,66,180,46,106,127,104,5.3,20.1,75,165,Asymptomatic,False,0.1,False,Never,4.7,72,6.6,70.3,False,6034,51.4,0
+2521,45,Male,138,90,199,41,113,235,119,5.9,25.7,88,181,Atypical Angina,False,0.2,False,Never,2.4,22,7.8,69.3,False,7484,39.2,0
+2522,59,Female,114,69,196,64,94,172,104,5.4,25.0,90,156,Asymptomatic,False,0.3,False,Former,3.6,124,6.8,38.2,False,8668,47.0,0
+2523,44,Male,116,80,170,60,99,73,129,5.6,28.4,83,176,Non-Anginal Pain,False,1.3,True,Former,3.6,202,6.1,33.1,True,9276,83.9,0
+2524,40,Female,138,92,180,51,93,167,153,7.1,26.7,75,186,Asymptomatic,False,1.1,False,Former,3.8,82,7.2,32.1,False,3126,86.6,0
+2525,37,Female,105,72,149,78,64,75,75,4.0,17.8,78,197,Atypical Angina,False,0.2,False,Never,3.0,258,6.8,87.6,True,9343,71.8,0
+2526,52,Female,131,80,156,52,65,172,131,6.4,23.2,67,171,Asymptomatic,False,0.3,False,Former,5.2,260,7.3,26.7,True,5232,59.6,0
+2527,67,Male,130,93,227,73,116,153,129,6.4,25.0,80,134,Asymptomatic,True,4.6,False,Former,12.3,138,5.7,20.4,False,6270,65.9,1
+2528,64,Female,134,87,166,49,85,169,127,5.8,25.5,82,144,Non-Anginal Pain,True,0.5,False,Former,10.5,178,8.3,56.7,True,10405,76.9,1
+2529,59,Female,133,100,200,69,108,205,117,6.4,22.2,67,157,Asymptomatic,False,0.6,False,Never,0.0,84,7.5,30.6,False,3434,44.7,0
+2530,55,Female,120,80,187,55,99,132,123,6.3,23.1,73,144,Asymptomatic,False,1.1,False,Former,4.8,72,6.9,38.6,False,4606,61.9,0
+2531,46,Male,125,94,211,54,113,209,107,5.5,22.3,80,173,Non-Anginal Pain,False,0.5,True,Current,2.5,104,8.9,73.6,True,4140,43.9,0
+2532,52,Male,114,77,110,61,56,63,94,5.9,18.3,85,189,Asymptomatic,True,0.4,True,Never,3.3,157,7.1,75.9,False,8024,67.6,0
+2533,37,Female,120,79,158,87,54,101,70,4.1,18.1,68,209,Asymptomatic,False,3.0,False,Never,3.8,208,8.4,42.7,False,5368,90.0,0
+2534,55,Male,137,86,194,62,113,106,125,5.9,19.6,65,156,Atypical Angina,True,4.7,True,Never,8.1,174,5.9,37.9,True,5841,60.7,1
+2535,66,Female,128,86,199,64,84,160,129,6.2,24.9,87,175,Asymptomatic,False,1.1,False,Former,1.0,186,6.6,30.5,False,824,49.6,0
+2536,32,Female,128,80,232,48,158,142,169,6.9,28.1,74,165,Asymptomatic,False,0.4,True,Current,3.0,72,7.1,51.6,False,5421,78.8,0
+2537,70,Male,152,91,186,60,89,194,138,6.4,28.7,85,114,Atypical Angina,True,1.4,True,Never,13.7,12,6.7,55.5,False,4573,35.1,1
+2538,25,Male,121,78,154,51,81,121,113,5.8,27.3,80,194,Non-Anginal Pain,False,1.0,False,Never,15.6,212,5.8,24.0,True,6550,62.8,0
+2539,43,Female,116,67,179,73,85,135,133,6.1,29.4,79,183,Non-Anginal Pain,False,0.9,False,Former,0.3,161,6.7,36.8,False,2985,69.7,0
+2540,39,Male,144,91,194,55,108,126,60,4.1,27.2,65,188,Asymptomatic,False,0.4,False,Former,12.1,309,6.8,42.3,True,8613,75.7,0
+2541,44,Male,134,100,191,60,81,272,132,5.8,28.1,69,147,Asymptomatic,False,0.8,False,Former,20.7,168,5.7,54.6,True,8641,49.7,0
+2542,49,Female,143,87,159,48,86,151,91,4.6,28.0,84,189,Asymptomatic,False,3.0,False,Former,4.7,129,6.3,69.1,False,3905,69.1,0
+2543,70,Male,132,86,158,25,112,148,89,4.8,26.8,85,141,Asymptomatic,True,1.0,False,Current,4.0,102,6.7,42.9,True,7052,42.4,1
+2544,40,Male,113,70,198,41,121,181,127,6.1,25.3,70,164,Atypical Angina,False,0.5,False,Former,6.0,142,6.4,28.4,True,8883,41.2,0
+2545,41,Female,117,77,180,43,110,112,161,7.0,23.8,70,178,Asymptomatic,False,0.1,False,Former,2.7,192,6.1,62.2,True,9437,37.7,0
+2546,44,Male,148,95,137,43,73,160,122,5.7,25.7,94,164,Non-Anginal Pain,False,0.1,False,Former,12.1,48,8.5,62.0,True,8748,64.6,1
+2547,46,Male,127,96,114,73,35,35,117,5.8,18.7,83,160,Non-Anginal Pain,False,0.0,False,Never,5.4,87,7.3,67.5,False,1348,76.4,0
+2548,45,Male,111,74,175,44,90,183,82,5.2,24.7,73,181,Non-Anginal Pain,False,0.0,True,Never,3.2,94,7.6,68.5,False,3630,62.0,0
+2549,36,Male,105,67,147,60,53,170,107,5.5,26.2,79,196,Non-Anginal Pain,True,0.5,False,Never,4.1,112,8.3,38.6,True,6210,80.4,0
+2550,56,Female,135,94,146,38,84,114,133,6.5,25.3,86,180,Non-Anginal Pain,False,1.5,True,Never,5.7,42,9.3,65.5,False,6376,54.2,0
+2551,51,Female,124,82,167,32,109,150,167,7.0,25.0,91,143,Atypical Angina,True,2.4,False,Current,1.6,94,7.7,48.0,False,6583,39.8,1
+2552,66,Male,131,87,182,52,87,197,111,5.7,28.2,83,140,Non-Anginal Pain,False,2.3,False,Never,9.7,69,6.4,67.9,False,3908,35.6,1
+2553,69,Male,119,68,226,54,117,224,143,6.5,30.9,89,166,Typical Angina,False,0.3,True,Never,15.1,285,7.9,45.8,True,10261,66.8,0
+2554,33,Female,113,84,122,57,60,53,135,6.2,17.5,61,210,Non-Anginal Pain,False,2.7,False,Current,2.4,150,7.9,46.6,False,7653,78.2,0
+2555,74,Female,129,80,198,56,114,180,131,6.0,30.7,73,149,Asymptomatic,False,1.2,False,Never,3.8,214,7.3,50.1,True,7834,54.1,0
+2556,60,Male,168,101,225,34,136,207,109,5.6,29.9,104,130,Asymptomatic,False,0.5,False,Current,8.6,135,6.5,48.0,False,5598,46.3,1
+2557,70,Female,105,70,172,64,80,111,87,5.1,24.4,85,172,Atypical Angina,False,0.8,True,Former,0.8,100,7.6,12.1,False,5455,90.8,0
+2558,52,Female,124,83,213,74,119,102,98,5.6,31.5,86,167,Asymptomatic,False,0.7,False,Former,4.4,114,8.0,14.2,True,3996,61.0,0
+2559,62,Male,132,89,192,48,113,134,122,5.6,29.9,80,128,Asymptomatic,False,2.7,False,Never,2.3,69,7.6,25.5,False,999,35.8,1
+2560,61,Female,129,76,212,61,120,179,95,5.0,25.8,70,149,Asymptomatic,True,0.2,False,Never,1.5,146,7.9,25.6,True,9413,61.0,0
+2561,71,Male,133,86,206,59,109,172,111,5.7,30.0,85,113,Typical Angina,True,0.0,False,Former,1.6,148,5.6,47.0,True,7820,93.0,1
+2562,45,Female,98,66,171,73,79,91,109,5.2,20.8,76,188,Non-Anginal Pain,False,0.1,True,Never,1.3,229,5.1,64.1,True,9767,66.1,0
+2563,45,Female,127,77,157,67,60,170,88,5.4,23.4,75,171,Typical Angina,False,0.9,True,Never,2.2,115,6.6,36.9,False,9608,78.2,0
+2564,50,Male,129,98,153,50,67,173,120,6.4,32.0,92,177,Asymptomatic,False,1.0,False,Never,7.5,164,7.5,56.1,False,4935,61.0,0
+2565,71,Female,111,52,211,45,130,157,125,6.1,30.2,87,129,Non-Anginal Pain,True,1.1,False,Former,14.5,30,5.3,52.0,False,4444,41.3,1
+2566,73,Female,121,79,233,68,129,210,118,5.5,16.9,68,147,Asymptomatic,False,1.1,False,Never,20.2,128,6.8,22.8,True,4456,47.8,0
+2567,39,Female,121,82,167,44,80,182,103,5.5,25.2,74,163,Non-Anginal Pain,False,0.3,False,Never,2.6,93,7.9,6.8,True,7959,63.2,0
+2568,60,Female,122,85,151,66,65,88,83,4.7,18.3,77,138,Atypical Angina,False,0.4,False,Former,2.4,143,5.9,65.5,False,5068,39.7,1
+2569,53,Female,132,86,172,69,74,201,134,6.1,27.8,84,164,Atypical Angina,False,2.9,False,Never,2.6,169,7.8,36.8,True,6347,63.3,0
+2570,50,Female,131,82,132,47,78,49,136,6.6,30.0,81,168,Asymptomatic,False,0.6,False,Former,1.3,114,7.3,64.1,False,2866,67.8,0
+2571,60,Female,133,90,204,66,94,236,72,4.5,27.8,80,135,Asymptomatic,True,0.2,False,Never,3.0,180,6.0,57.7,True,5481,56.4,0
+2572,78,Male,133,96,198,52,104,186,140,6.4,20.1,77,139,Non-Anginal Pain,True,0.3,True,Never,4.6,112,6.8,47.9,False,4354,58.5,1
+2573,61,Female,142,88,225,60,134,135,141,6.4,26.9,88,131,Atypical Angina,True,0.8,True,Never,0.1,67,7.5,26.4,False,3121,64.4,1
+2574,48,Male,127,75,233,45,131,231,110,5.6,25.5,94,156,Non-Anginal Pain,True,0.1,False,Former,8.1,29,6.5,20.0,False,3298,47.2,1
+2575,45,Male,145,93,208,44,139,149,144,6.9,34.8,97,165,Typical Angina,False,4.2,True,Never,5.3,63,6.6,44.2,False,7038,39.8,1
+2576,60,Male,118,70,178,41,108,122,131,6.5,26.2,78,155,Atypical Angina,False,4.7,False,Never,6.6,87,6.4,61.0,False,7051,37.2,1
+2577,57,Male,115,88,192,31,110,189,138,6.3,21.3,70,148,Asymptomatic,True,1.1,False,Former,16.4,98,8.5,22.8,False,5435,45.4,1
+2578,68,Male,133,87,185,59,83,215,135,5.5,21.2,87,153,Non-Anginal Pain,False,0.5,True,Never,3.5,188,7.6,38.5,True,6324,71.9,0
+2579,72,Female,149,97,202,61,113,142,177,7.7,35.7,71,121,Atypical Angina,False,4.7,False,Never,2.5,171,6.6,38.4,False,4088,78.1,1
+2580,57,Male,136,80,193,43,123,145,118,6.1,32.5,73,143,Asymptomatic,True,1.3,True,Never,8.2,120,8.6,40.3,False,7988,53.7,1
+2581,62,Male,153,97,153,51,69,199,120,5.4,29.7,79,166,Asymptomatic,False,0.5,True,Former,13.1,111,5.5,43.5,False,7198,66.1,0
+2582,76,Female,135,82,221,61,124,130,156,6.2,24.4,75,158,Asymptomatic,False,2.0,False,Current,4.7,189,6.0,36.9,True,7520,56.7,0
+2583,71,Male,134,98,127,74,55,35,103,5.6,17.0,76,152,Asymptomatic,False,0.9,False,Never,4.8,180,9.2,52.3,True,8250,73.0,0
+2584,42,Female,99,61,182,38,113,87,103,4.9,22.1,70,165,Atypical Angina,False,1.8,True,Former,2.0,72,6.2,45.2,True,10259,65.5,0
+2585,35,Male,138,79,180,37,112,214,83,4.7,26.0,80,194,Non-Anginal Pain,False,0.4,True,Current,6.4,72,7.2,76.1,True,6661,43.2,0
+2586,36,Male,96,50,237,76,134,133,104,5.9,24.5,84,197,Asymptomatic,True,1.0,True,Never,2.6,145,4.7,62.8,True,9642,64.1,0
+2587,31,Female,119,82,187,66,91,197,76,4.3,26.5,92,186,Non-Anginal Pain,False,0.2,False,Former,36.4,87,7.4,45.1,False,4175,48.5,0
+2588,59,Female,136,81,175,48,98,168,159,7.7,27.2,96,158,Asymptomatic,False,1.2,False,Never,8.1,0,8.1,44.7,False,6967,42.6,0
+2589,38,Male,122,81,261,53,148,204,157,6.5,30.2,77,181,Non-Anginal Pain,True,0.3,True,Never,9.8,78,7.4,58.4,False,4328,28.6,0
+2590,63,Male,121,76,163,64,74,131,135,5.5,22.2,81,171,Asymptomatic,True,0.3,True,Former,8.2,155,7.8,44.3,True,8345,56.1,0
+2591,43,Male,106,79,176,48,96,170,137,6.2,22.4,76,171,Non-Anginal Pain,False,0.3,True,Former,6.7,145,7.4,31.5,False,3449,48.0,0
+2592,66,Male,128,84,234,40,157,182,112,5.8,23.1,87,150,Typical Angina,True,1.1,False,Former,20.0,131,7.9,48.3,False,4098,66.1,1
+2593,62,Male,136,75,182,58,83,213,106,5.2,25.0,77,159,Asymptomatic,False,0.6,False,Former,2.3,240,9.8,26.8,False,4137,54.5,0
+2594,56,Female,136,77,143,51,94,35,134,6.5,23.0,78,161,Asymptomatic,False,1.0,False,Never,5.9,156,6.2,44.3,True,10486,79.7,0
+2595,60,Male,127,92,218,45,135,199,146,6.6,29.3,72,141,Non-Anginal Pain,False,0.9,False,Never,4.8,137,6.5,58.2,False,4891,63.4,1
+2596,37,Male,88,52,257,67,140,241,109,5.5,19.1,78,182,Non-Anginal Pain,False,0.2,False,Never,11.6,113,6.0,34.3,True,6129,38.7,0
+2597,22,Female,118,78,199,71,95,148,127,5.6,23.5,77,196,Non-Anginal Pain,False,2.7,True,Never,3.3,293,7.1,38.7,True,10507,56.8,0
+2598,46,Male,130,92,233,39,144,246,87,5.0,30.9,84,173,Asymptomatic,True,1.4,False,Current,20.9,196,6.0,33.4,False,4534,35.9,1
+2599,59,Male,131,74,173,53,92,113,115,5.5,27.5,85,162,Asymptomatic,False,0.2,False,Never,2.1,115,4.3,50.6,False,8467,74.8,0
+2600,37,Male,119,77,184,46,113,171,101,5.5,28.2,84,152,Asymptomatic,True,0.8,False,Never,3.8,171,6.5,54.4,True,10100,76.7,1
+2601,62,Female,123,76,230,70,129,176,109,5.5,18.9,77,162,Asymptomatic,False,2.1,False,Never,0.9,159,8.0,60.2,True,10497,47.1,0
+2602,61,Male,124,77,234,59,144,158,115,5.9,25.8,77,167,Atypical Angina,False,0.7,False,Never,8.2,177,8.0,56.3,True,2989,43.5,0
+2603,55,Female,127,87,166,36,98,91,128,6.1,29.8,89,159,Atypical Angina,False,0.4,False,Current,3.1,144,7.2,58.4,True,6610,62.2,0
+2604,57,Male,141,89,232,68,123,187,115,5.7,26.3,91,173,Asymptomatic,True,0.3,False,Former,6.1,89,6.2,39.3,False,3623,58.3,0
+2605,52,Male,118,74,164,43,75,207,110,5.3,23.3,87,157,Asymptomatic,False,1.3,False,Former,4.3,209,7.9,48.2,True,6550,73.3,0
+2606,55,Male,132,77,236,47,149,142,102,5.0,32.5,76,146,Asymptomatic,True,3.6,False,Former,5.5,241,7.8,54.3,True,6116,64.1,1
+2607,37,Female,124,74,217,58,122,212,105,4.7,27.4,81,201,Non-Anginal Pain,False,0.6,False,Current,0.1,136,7.0,50.1,True,8024,69.0,0
+2608,67,Female,125,70,237,71,136,130,127,6.2,22.3,91,160,Asymptomatic,False,0.3,True,Never,1.9,216,8.2,42.0,True,8320,50.8,0
+2609,58,Male,143,90,228,63,123,220,185,7.4,32.2,78,161,Typical Angina,True,1.6,False,Never,4.0,155,7.9,40.6,False,7776,53.2,1
+2610,60,Female,126,85,185,57,87,199,118,5.5,27.3,77,152,Asymptomatic,False,0.2,False,Former,1.9,142,7.2,45.4,True,8079,43.2,1
+2611,44,Female,123,79,188,67,79,164,93,5.2,20.8,72,183,Asymptomatic,True,0.3,False,Former,2.8,167,7.6,61.4,False,8182,52.2,0
+2612,34,Male,126,71,145,64,56,107,116,5.5,22.4,74,208,Atypical Angina,False,0.7,False,Former,3.5,166,6.9,56.2,False,7663,61.9,0
+2613,69,Male,173,102,177,41,113,106,136,6.1,24.4,95,136,Asymptomatic,True,0.6,False,Current,2.0,72,7.9,57.8,True,5184,54.1,1
+2614,34,Female,112,74,187,41,121,186,103,5.4,21.9,73,189,Non-Anginal Pain,False,0.7,True,Current,1.9,125,6.4,44.7,False,4875,41.2,0
+2615,49,Male,147,96,206,46,136,185,133,7.0,34.9,91,172,Asymptomatic,False,0.1,False,Never,6.9,127,9.0,42.7,False,8306,77.4,1
+2616,52,Female,112,60,211,58,102,230,121,5.8,25.4,90,184,Typical Angina,True,0.6,True,Never,2.2,86,5.2,15.8,False,4058,62.1,0
+2617,57,Male,108,73,197,57,116,112,108,5.6,19.8,83,155,Asymptomatic,False,1.8,True,Never,3.0,184,8.4,35.3,False,7656,53.0,0
+2618,58,Male,129,81,198,45,106,213,121,6.4,28.0,97,150,Non-Anginal Pain,False,0.4,False,Never,6.0,63,6.0,62.2,False,7141,44.7,0
+2619,53,Female,140,89,204,56,132,85,118,5.8,30.4,78,166,Asymptomatic,False,0.0,False,Never,2.0,67,8.5,64.6,False,7257,46.6,0
+2620,35,Female,115,72,179,55,100,168,120,5.7,18.0,77,199,Asymptomatic,False,0.1,False,Current,6.7,207,6.7,59.8,False,8203,57.3,0
+2621,50,Female,99,60,187,29,132,154,61,4.7,17.3,89,177,Asymptomatic,True,0.5,False,Current,5.3,173,7.0,58.0,False,6310,43.7,0
+2622,52,Male,128,87,219,65,136,168,96,5.6,27.0,100,153,Typical Angina,False,0.2,False,Current,2.5,69,6.8,51.1,False,7939,34.7,0
+2623,60,Male,132,87,260,83,144,124,109,5.7,19.5,90,165,Asymptomatic,False,1.2,False,Never,5.9,96,6.2,27.6,False,1583,63.6,0
+2624,56,Male,164,105,199,57,114,134,163,6.8,27.2,92,149,Non-Anginal Pain,False,0.8,True,Never,3.0,169,7.5,63.7,True,8033,78.9,0
+2625,68,Female,137,73,232,35,173,199,161,6.8,30.3,96,118,Asymptomatic,False,0.1,False,Current,7.7,8,8.7,64.0,False,3128,30.7,1
+2626,64,Female,136,91,207,52,133,116,136,6.3,30.2,84,163,Atypical Angina,False,0.2,False,Never,7.5,134,6.5,35.5,True,4726,42.4,0
+2627,37,Male,111,65,198,47,133,94,66,4.0,21.0,69,199,Asymptomatic,False,2.7,True,Current,4.0,146,5.7,49.8,False,8828,35.1,0
+2628,54,Female,129,74,175,71,83,89,67,4.0,25.6,74,165,Typical Angina,False,1.1,False,Never,8.5,105,6.3,28.9,True,5424,62.8,0
+2629,59,Male,118,79,193,35,121,219,114,5.2,29.4,79,152,Typical Angina,False,0.7,False,Former,3.1,231,8.2,20.4,True,4898,63.9,1
+2630,47,Male,108,65,184,43,109,114,121,6.1,23.5,61,177,Non-Anginal Pain,False,0.4,False,Never,3.1,181,6.3,38.0,True,7779,49.0,0
+2631,73,Male,125,72,150,62,77,57,124,5.7,20.4,69,160,Non-Anginal Pain,False,1.6,True,Never,4.5,220,6.5,24.4,True,9916,42.4,0
+2632,46,Female,123,67,146,53,67,157,152,7.2,28.2,71,193,Asymptomatic,False,1.3,False,Former,1.2,97,7.6,57.5,False,5606,54.7,0
+2633,37,Male,102,78,176,43,108,148,104,5.1,17.8,75,201,Asymptomatic,False,0.1,False,Current,8.2,225,9.9,23.4,True,6944,33.6,0
+2634,30,Male,134,86,166,62,81,144,138,6.1,30.8,79,191,Non-Anginal Pain,False,0.2,True,Never,5.3,113,7.3,55.8,False,6483,55.3,0
+2635,47,Male,129,83,177,53,95,143,116,5.1,21.3,74,187,Asymptomatic,False,0.3,False,Never,20.2,131,4.5,73.4,True,5288,75.6,0
+2636,47,Male,103,64,194,49,112,151,118,5.5,18.6,72,179,Asymptomatic,False,0.1,False,Current,5.7,217,8.1,48.9,True,6560,69.0,0
+2637,48,Female,142,86,224,63,137,145,135,6.3,25.2,82,157,Typical Angina,True,0.8,False,Former,3.9,92,7.1,27.6,True,6229,100.0,1
+2638,25,Male,115,79,149,50,68,145,102,5.0,24.8,94,195,Non-Anginal Pain,False,0.6,True,Never,2.8,146,8.8,50.6,False,7690,69.8,0
+2639,54,Male,134,80,206,39,113,270,144,6.8,28.8,87,153,Asymptomatic,True,0.3,False,Current,10.9,108,6.2,46.4,True,4975,34.4,1
+2640,68,Female,124,70,176,45,91,177,154,7.1,27.5,84,150,Non-Anginal Pain,False,1.3,False,Never,1.6,183,7.2,43.3,True,8482,72.8,1
+2641,45,Female,120,95,180,75,93,39,111,5.7,26.4,86,188,Atypical Angina,False,0.4,False,Never,2.8,93,6.2,70.6,True,5479,99.5,0
+2642,61,Male,136,85,192,45,118,118,126,6.2,22.1,82,161,Asymptomatic,False,0.1,True,Never,5.4,131,5.8,31.4,False,4180,81.1,0
+2643,46,Female,119,79,148,28,98,112,100,5.3,25.7,76,170,Typical Angina,False,0.3,True,Never,8.9,128,6.2,76.3,False,3013,65.5,1
+2644,43,Male,120,83,208,45,128,105,99,4.9,27.8,89,194,Atypical Angina,True,1.2,False,Current,6.1,112,7.5,33.6,False,3365,61.4,0
+2645,71,Male,135,88,186,47,92,220,142,6.0,30.3,90,153,Asymptomatic,False,0.3,True,Current,3.8,205,6.4,60.0,False,5082,46.7,0
+2646,63,Male,135,87,259,48,159,232,162,7.0,28.6,91,124,Atypical Angina,True,0.2,False,Former,6.9,0,5.0,43.1,False,1008,40.1,1
+2647,65,Female,150,106,227,58,143,131,93,4.9,27.3,81,145,Non-Anginal Pain,True,0.4,False,Never,10.9,49,6.8,53.0,False,5173,67.7,1
+2648,84,Female,147,85,181,46,109,176,150,6.5,30.5,89,128,Atypical Angina,False,0.8,False,Never,0.5,107,8.2,67.7,True,6554,38.8,1
+2649,54,Male,88,61,252,66,152,125,115,5.2,19.8,75,150,Asymptomatic,True,0.4,False,Former,3.6,212,7.6,11.5,True,8138,69.9,0
+2650,54,Male,125,83,243,64,160,102,70,4.1,26.6,74,151,Non-Anginal Pain,True,0.9,True,Never,3.9,164,6.5,91.6,False,5765,75.1,1
+2651,56,Female,106,74,159,58,72,145,86,4.7,20.1,64,165,Atypical Angina,False,1.8,True,Never,0.2,219,5.6,57.7,True,6437,57.7,0
+2652,73,Female,130,70,130,60,67,68,163,6.7,23.2,79,148,Asymptomatic,False,1.9,False,Never,11.9,114,7.1,67.2,True,3259,51.9,0
+2653,66,Female,131,79,161,63,85,107,129,5.9,24.7,79,143,Asymptomatic,False,0.1,False,Never,6.8,153,8.7,37.8,True,2843,87.4,0
+2654,42,Male,104,69,157,38,92,166,70,4.5,19.2,83,199,Atypical Angina,True,1.0,True,Never,13.9,121,8.6,62.2,True,4971,72.0,0
+2655,43,Male,137,87,137,36,80,99,121,6.3,25.4,82,191,Asymptomatic,False,1.0,False,Never,1.8,48,6.0,43.7,False,4267,69.3,0
+2656,59,Female,117,78,218,65,119,181,98,6.0,27.3,75,178,Asymptomatic,False,0.6,True,Current,1.9,300,5.2,41.0,True,6955,64.1,0
+2657,61,Female,148,93,199,39,110,174,142,6.7,26.6,76,159,Asymptomatic,True,0.2,False,Never,3.9,151,6.0,42.6,False,6944,54.1,0
+2658,60,Female,136,82,179,51,92,177,115,5.9,20.1,100,169,Asymptomatic,False,0.4,True,Current,6.9,127,7.2,47.6,False,7080,47.2,0
+2659,61,Male,137,88,213,64,129,110,133,6.4,24.2,70,147,Non-Anginal Pain,False,1.4,False,Current,4.1,156,6.7,48.1,True,6373,52.9,1
+2660,52,Male,139,91,166,49,95,120,96,5.1,24.8,89,173,Typical Angina,False,0.2,False,Never,3.2,104,10.2,75.8,True,9605,57.4,0
+2661,62,Female,137,94,155,60,82,69,110,5.4,16.7,84,151,Non-Anginal Pain,False,2.3,False,Never,0.1,18,7.3,76.4,False,4555,55.1,0
+2662,62,Female,141,81,169,26,107,147,95,5.0,30.1,95,148,Asymptomatic,False,2.1,False,Current,7.0,84,8.8,80.1,True,5548,33.3,1
+2663,42,Male,100,63,209,64,100,254,169,7.2,26.2,79,195,Asymptomatic,False,0.5,False,Never,7.9,218,6.7,82.2,False,6451,51.0,0
+2664,38,Male,137,98,174,30,94,196,83,4.5,29.1,72,197,Asymptomatic,False,0.0,False,Former,7.2,48,7.5,83.0,False,4229,80.7,0
+2665,57,Female,130,80,195,61,92,218,121,6.3,18.4,72,157,Asymptomatic,False,0.2,False,Never,10.2,153,6.7,48.7,False,6645,69.8,0
+2666,49,Male,105,73,135,64,55,49,81,5.2,23.0,82,195,Asymptomatic,False,0.1,False,Former,4.1,88,6.1,39.4,False,2321,60.8,0
+2667,35,Female,123,82,151,48,83,129,119,6.2,30.8,92,182,Typical Angina,False,0.7,False,Never,8.7,109,5.8,44.7,False,2619,67.2,0
+2668,64,Male,146,88,210,50,140,120,111,5.2,18.4,73,148,Non-Anginal Pain,True,0.6,False,Current,5.3,78,5.3,30.3,False,4926,62.3,1
+2669,59,Female,143,96,230,75,143,108,108,4.9,24.7,88,187,Asymptomatic,False,1.5,False,Never,3.0,147,7.1,36.0,False,8115,66.0,0
+2670,72,Male,117,68,193,26,123,209,117,6.0,23.0,97,124,Non-Anginal Pain,False,0.7,True,Current,5.1,132,8.3,33.4,False,4954,57.4,1
+2671,53,Female,110,73,163,75,55,145,82,4.1,15.5,71,163,Asymptomatic,False,0.3,True,Never,1.1,143,7.4,50.1,True,7733,69.3,0
+2672,55,Male,138,92,163,29,102,190,164,7.0,37.8,89,137,Asymptomatic,False,1.2,False,Never,8.7,72,7.1,49.7,False,4860,69.2,1
+2673,35,Male,122,74,193,73,86,145,97,5.8,20.4,72,202,Asymptomatic,False,0.7,True,Former,15.4,294,5.7,33.3,True,8161,57.8,0
+2674,72,Male,135,78,203,50,136,122,93,4.9,23.3,82,125,Asymptomatic,False,1.4,False,Never,3.2,186,8.3,39.5,True,9765,54.5,1
+2675,62,Female,152,93,232,60,121,262,133,5.9,25.5,80,165,Typical Angina,False,1.5,False,Former,0.5,45,6.8,63.9,True,4925,26.6,1
+2676,66,Male,124,75,170,64,56,227,130,6.4,29.3,70,156,Non-Anginal Pain,False,0.4,False,Former,24.7,263,7.9,40.5,True,4834,50.8,0
+2677,51,Male,114,61,212,62,130,119,106,5.6,31.0,78,200,Asymptomatic,False,0.1,False,Current,2.2,234,7.6,49.9,True,9231,65.0,0
+2678,53,Male,131,86,171,36,100,219,139,6.1,23.5,70,171,Non-Anginal Pain,True,1.2,False,Never,3.3,148,7.0,34.4,False,7515,34.8,1
+2679,58,Male,149,99,213,40,132,196,133,6.5,35.4,90,144,Asymptomatic,True,2.1,False,Current,3.4,132,7.1,55.1,False,5354,52.5,1
+2680,44,Male,97,68,173,57,98,98,130,6.2,30.0,91,168,Asymptomatic,False,0.3,False,Never,2.0,10,7.6,37.8,True,6352,33.4,0
+2681,44,Male,118,77,222,51,142,153,106,5.1,26.7,81,203,Asymptomatic,False,0.8,True,Former,3.1,164,5.7,58.8,False,2893,51.0,0
+2682,80,Male,138,79,233,42,150,183,159,6.6,19.0,83,124,Asymptomatic,True,1.5,False,Current,7.6,149,8.9,46.8,True,6865,44.0,1
+2683,58,Female,136,80,207,69,109,133,94,4.6,22.8,76,174,Non-Anginal Pain,False,0.4,False,Former,1.3,129,7.0,8.0,False,3835,33.5,0
+2684,45,Male,109,68,151,39,85,91,169,6.9,31.4,74,143,Non-Anginal Pain,True,1.4,False,Former,2.1,140,7.2,18.5,True,7656,72.1,1
+2685,35,Male,127,85,188,41,116,180,122,5.4,26.0,72,189,Asymptomatic,False,0.3,True,Current,2.4,151,6.9,32.1,True,9678,33.2,0
+2686,39,Female,110,69,202,59,124,97,107,6.0,23.2,82,179,Asymptomatic,False,0.1,False,Never,22.3,129,8.9,58.3,True,4549,40.6,0
+2687,58,Female,108,60,211,33,145,136,138,6.1,30.3,76,157,Asymptomatic,False,0.1,False,Current,6.8,108,8.4,44.0,True,6683,81.6,1
+2688,41,Female,114,69,192,53,118,137,108,5.8,25.8,92,195,Asymptomatic,False,0.3,False,Never,4.1,218,6.5,43.3,True,7037,73.3,0
+2689,40,Female,140,93,180,53,80,197,134,5.9,37.1,85,188,Asymptomatic,False,0.5,False,Never,7.0,50,6.8,50.3,False,5530,58.3,0
+2690,51,Male,105,62,160,43,98,125,125,5.5,26.1,77,163,Asymptomatic,False,0.3,False,Never,3.2,205,6.0,42.1,True,7731,67.1,0
+2691,59,Male,130,87,199,40,103,235,102,5.2,28.8,85,141,Non-Anginal Pain,True,6.5,False,Former,8.5,78,6.6,51.0,True,3933,69.2,1
+2692,71,Female,138,86,215,40,107,225,115,5.6,25.5,87,127,Asymptomatic,False,0.5,False,Never,24.5,97,6.9,64.6,False,3664,62.0,1
+2693,43,Female,100,58,125,41,72,80,124,5.1,15.0,70,192,Typical Angina,False,0.7,False,Never,4.7,143,8.4,39.0,False,6699,59.0,0
+2694,45,Male,143,86,199,55,112,226,126,6.1,34.6,87,172,Asymptomatic,False,0.5,False,Former,2.7,212,8.6,79.4,False,1795,51.4,0
+2695,59,Male,119,86,164,46,103,87,100,5.0,20.1,72,145,Typical Angina,True,1.2,False,Former,2.9,216,8.4,58.6,False,5920,73.9,1
+2696,47,Female,114,74,230,50,149,155,129,6.1,28.0,94,169,Non-Anginal Pain,False,2.7,False,Former,4.9,101,7.0,49.1,False,3553,46.3,1
+2697,65,Female,134,87,207,40,123,198,129,6.5,24.8,72,176,Asymptomatic,False,0.3,True,Never,5.7,38,8.0,49.5,True,3941,80.9,0
+2698,48,Male,149,87,206,44,116,205,107,5.4,32.0,76,146,Asymptomatic,True,1.9,False,Never,8.4,133,5.8,78.7,False,5085,58.0,1
+2699,36,Male,104,72,121,31,77,96,118,6.3,26.9,71,179,Asymptomatic,True,0.2,True,Never,4.5,217,6.6,73.5,True,4640,51.3,0
+2700,45,Male,145,89,195,52,101,199,150,6.1,27.9,74,178,Non-Anginal Pain,False,0.1,False,Former,5.6,101,8.4,58.6,False,6974,86.4,0
+2701,34,Male,99,66,175,39,99,196,79,4.9,21.0,75,184,Asymptomatic,False,0.3,False,Never,2.4,138,6.9,58.7,False,7049,77.9,0
+2702,47,Male,136,84,203,68,99,164,112,5.9,28.9,102,159,Asymptomatic,False,0.3,False,Never,13.1,79,7.3,48.7,False,3572,63.9,0
+2703,60,Male,112,74,169,36,96,174,78,4.7,35.7,95,155,Asymptomatic,False,0.1,True,Current,11.8,137,8.1,32.7,False,6150,42.2,0
+2704,54,Female,142,92,228,47,136,179,150,6.4,32.0,89,210,Non-Anginal Pain,True,2.0,False,Never,7.4,63,6.7,47.8,False,2764,45.3,0
+2705,52,Female,140,89,226,65,138,121,100,5.4,28.9,84,187,Asymptomatic,False,0.5,False,Current,0.3,109,6.8,41.4,True,10623,34.6,0
+2706,37,Male,115,78,151,42,88,145,119,4.6,23.7,72,169,Asymptomatic,True,0.1,False,Current,3.5,122,6.8,45.5,False,2208,64.4,0
+2707,44,Female,117,81,189,48,110,156,82,4.7,24.0,59,195,Typical Angina,False,1.6,False,Never,3.4,144,7.1,36.4,True,6555,59.6,0
+2708,49,Female,134,78,192,56,115,136,142,6.4,27.8,88,178,Atypical Angina,False,1.5,True,Never,1.7,135,6.4,50.7,False,7029,47.8,1
+2709,57,Female,135,91,232,76,140,103,120,5.8,29.3,86,161,Non-Anginal Pain,False,1.3,True,Never,10.9,255,6.2,69.5,True,12295,73.4,0
+2710,87,Male,123,81,179,63,99,106,102,5.6,20.6,93,142,Non-Anginal Pain,False,0.4,False,Never,3.4,49,7.0,57.3,True,6490,79.6,0
+2711,45,Male,140,88,207,61,122,109,157,6.3,24.5,72,172,Asymptomatic,False,0.1,False,Never,8.2,165,7.6,47.3,False,5295,64.3,0
+2712,66,Female,145,89,212,67,93,267,128,6.3,23.5,85,145,Asymptomatic,False,0.6,False,Never,12.2,28,7.8,45.1,False,500,75.4,0
+2713,39,Female,139,87,167,55,64,224,93,4.6,26.0,91,173,Typical Angina,False,0.3,False,Former,3.8,71,5.4,86.7,True,7861,40.0,1
+2714,40,Male,94,56,152,45,83,189,118,6.3,22.5,75,182,Typical Angina,False,0.7,False,Former,3.4,124,6.5,39.6,False,9528,76.7,0
+2715,28,Female,102,69,118,55,60,76,75,4.3,27.2,83,210,Asymptomatic,False,0.5,True,Never,3.0,110,5.3,37.2,False,8609,63.7,0
+2716,43,Female,134,84,206,61,142,61,99,5.3,25.1,85,141,Non-Anginal Pain,True,0.7,False,Former,1.9,76,6.7,92.6,True,7520,74.0,1
+2717,67,Female,141,91,192,40,118,208,119,5.8,22.6,72,144,Non-Anginal Pain,False,0.3,True,Former,5.9,167,6.9,48.3,False,5112,55.1,0
+2718,53,Female,132,85,218,60,128,123,127,4.9,22.0,89,156,Atypical Angina,False,0.9,False,Former,0.3,179,7.3,56.8,True,7271,77.2,1
+2719,69,Female,115,61,169,49,90,172,123,5.8,22.2,76,137,Asymptomatic,False,0.2,False,Never,0.5,160,5.0,31.6,False,2952,44.5,1
+2720,47,Male,117,84,169,53,82,110,127,5.7,15.0,76,178,Asymptomatic,False,0.8,False,Never,5.3,194,7.5,37.3,True,6806,78.3,0
+2721,67,Female,126,83,191,59,111,60,146,7.0,16.8,84,154,Non-Anginal Pain,False,1.8,True,Current,9.7,256,8.0,41.0,False,5314,69.5,0
+2722,46,Male,114,79,203,43,128,205,152,7.4,31.1,73,169,Typical Angina,False,2.4,False,Never,3.3,238,5.8,66.3,True,7443,51.6,1
+2723,65,Male,118,79,172,74,65,141,87,5.3,17.2,80,164,Asymptomatic,False,0.7,False,Former,5.8,99,7.6,31.4,False,5263,76.4,0
+2724,75,Female,163,94,200,43,116,188,146,6.7,34.6,89,172,Atypical Angina,True,0.9,True,Never,32.5,23,7.1,66.7,False,4555,46.9,1
+2725,51,Male,139,86,154,37,111,120,117,5.8,24.3,71,147,Typical Angina,False,1.9,False,Never,5.4,95,7.3,38.7,False,6144,39.3,1
+2726,36,Female,133,84,202,61,92,250,117,5.2,24.4,75,182,Typical Angina,False,1.6,False,Never,2.6,101,5.6,5.7,True,10659,36.5,0
+2727,77,Female,141,76,221,60,90,276,89,4.9,22.6,85,144,Asymptomatic,False,0.8,False,Former,1.3,88,5.8,54.0,True,3967,40.9,1
+2728,42,Female,111,56,171,75,57,175,111,6.0,17.1,83,206,Atypical Angina,False,0.3,False,Former,3.0,133,7.5,65.1,False,6170,85.5,0
+2729,46,Female,139,82,227,61,123,239,122,5.9,35.1,75,171,Atypical Angina,True,0.8,False,Current,2.3,107,6.8,66.8,False,4388,82.6,1
+2730,50,Male,150,90,213,58,127,74,125,6.1,23.6,77,162,Typical Angina,True,0.3,False,Former,3.2,57,8.8,35.1,False,1439,51.3,1
+2731,65,Male,119,60,174,32,114,205,117,6.1,28.1,91,158,Non-Anginal Pain,True,0.4,True,Current,4.6,95,7.1,77.9,True,7565,45.2,1
+2732,63,Male,114,63,205,59,113,105,129,5.9,20.6,73,151,Non-Anginal Pain,False,0.8,False,Current,3.6,104,5.5,65.8,False,4674,50.7,0
+2733,62,Male,132,81,204,61,111,128,102,5.6,30.7,89,151,Asymptomatic,False,1.7,True,Former,2.6,166,6.5,49.0,False,3033,81.3,1
+2734,50,Female,136,89,248,44,149,200,127,5.8,26.6,70,155,Non-Anginal Pain,False,0.3,False,Former,2.7,178,5.6,50.9,False,4672,57.5,1
+2735,51,Male,121,80,242,54,155,182,97,4.7,23.4,85,152,Asymptomatic,False,1.6,True,Former,1.5,118,7.0,46.8,False,1938,60.9,0
+2736,64,Male,150,106,207,74,112,125,130,5.9,31.3,81,162,Non-Anginal Pain,False,2.3,True,Former,3.7,119,7.2,30.2,False,5616,44.1,0
+2737,75,Male,112,75,129,33,89,76,120,6.3,23.2,87,146,Asymptomatic,False,0.5,False,Never,3.2,64,8.6,46.2,True,5636,56.0,0
+2738,37,Male,117,62,207,36,132,212,120,5.6,26.1,99,188,Atypical Angina,False,0.1,False,Former,3.6,193,8.2,37.7,True,5926,59.8,0
+2739,70,Female,143,87,185,67,87,174,171,7.1,22.5,84,147,Asymptomatic,False,1.0,False,Never,15.6,210,6.0,43.7,True,9586,63.9,0
+2740,66,Female,136,87,175,62,102,109,115,5.9,20.4,81,172,Atypical Angina,True,0.9,False,Former,0.5,87,6.2,50.7,True,5464,48.7,0
+2741,62,Female,126,78,184,55,99,110,153,6.7,25.9,90,151,Atypical Angina,False,2.3,False,Never,2.0,184,4.9,36.8,True,8841,71.3,1
+2742,45,Female,115,80,202,56,117,155,142,6.2,31.5,71,189,Non-Anginal Pain,False,0.2,False,Former,8.6,160,6.9,38.9,False,6712,36.2,0
+2743,55,Male,119,74,185,42,126,142,157,7.2,23.7,89,204,Typical Angina,False,0.5,False,Never,8.0,108,9.4,41.7,True,2892,74.3,0
+2744,59,Female,135,81,198,62,97,158,114,5.7,23.5,77,190,Asymptomatic,False,0.9,False,Never,5.7,69,8.5,35.9,True,6636,66.2,0
+2745,46,Female,114,82,196,70,103,132,117,5.3,23.5,70,174,Atypical Angina,False,0.4,False,Former,0.3,213,6.7,25.1,False,6314,44.5,0
+2746,69,Male,138,83,127,55,38,127,96,5.2,23.7,75,157,Atypical Angina,False,0.2,True,Never,10.4,185,7.4,36.9,False,6639,68.8,0
+2747,48,Male,134,90,226,61,124,190,142,6.1,32.4,81,176,Atypical Angina,False,0.5,False,Never,3.7,40,7.2,85.4,False,3920,57.8,1
+2748,74,Male,133,77,173,33,112,149,131,6.1,27.5,88,127,Typical Angina,False,1.5,False,Current,2.9,16,5.7,27.7,False,3037,69.1,1
+2749,34,Female,112,69,132,77,43,131,170,7.8,29.0,75,196,Non-Anginal Pain,False,0.4,False,Never,3.5,249,8.8,72.6,True,7193,66.6,0
+2750,36,Female,88,55,196,69,107,156,83,5.0,18.6,78,199,Non-Anginal Pain,False,0.4,False,Current,7.5,267,7.6,34.1,True,8926,48.0,0
+2751,29,Female,118,79,173,66,67,147,92,5.0,25.4,88,210,Asymptomatic,False,1.3,False,Never,1.9,260,5.9,46.5,False,3829,48.3,0
+2752,63,Female,122,74,145,62,77,52,121,5.5,24.1,84,165,Atypical Angina,False,0.1,False,Never,2.3,211,7.4,57.9,False,4531,66.0,0
+2753,42,Male,130,91,175,56,71,260,112,5.2,28.0,78,157,Asymptomatic,False,0.4,False,Former,3.6,163,6.0,41.3,False,6259,52.1,1
+2754,43,Male,125,70,233,69,105,222,70,5.2,24.5,67,178,Asymptomatic,False,0.4,False,Former,16.9,122,6.0,32.5,False,4467,62.7,0
+2755,66,Male,134,93,152,46,74,122,143,5.5,22.9,78,155,Atypical Angina,False,0.4,True,Never,3.2,209,6.2,34.0,False,4216,58.9,0
+2756,77,Female,150,98,217,57,134,208,124,6.0,33.5,76,154,Asymptomatic,True,0.4,False,Never,1.6,115,8.1,47.8,False,5974,69.9,0
+2757,44,Male,132,74,247,65,140,186,100,5.3,24.1,67,181,Asymptomatic,False,0.5,False,Never,9.0,203,8.9,38.1,False,5671,56.9,0
+2758,72,Female,113,75,218,59,133,123,175,7.3,25.0,70,159,Typical Angina,False,0.8,False,Never,0.1,94,6.7,26.8,False,4177,85.2,0
+2759,61,Male,138,88,238,49,148,256,104,5.5,29.3,97,162,Asymptomatic,False,0.1,False,Current,12.0,97,7.2,63.4,False,6353,10.2,1
+2760,54,Male,138,91,161,57,100,58,140,6.3,17.4,79,146,Atypical Angina,False,0.7,True,Current,3.9,118,7.5,43.1,True,6080,63.1,1
+2761,38,Female,158,98,169,49,91,195,119,5.8,30.5,86,182,Asymptomatic,False,0.8,True,Current,19.6,78,5.9,54.3,False,3960,49.1,0
+2762,36,Female,121,84,248,83,122,183,104,5.6,29.5,71,177,Typical Angina,False,1.1,True,Never,19.0,206,7.1,34.1,True,9656,72.7,0
+2763,55,Female,109,66,206,63,91,236,112,5.7,20.0,77,167,Typical Angina,False,0.2,True,Never,13.3,89,6.7,13.5,False,3919,54.1,0
+2764,56,Male,150,106,234,62,130,196,115,5.4,26.4,81,157,Typical Angina,False,5.8,False,Never,34.1,82,5.2,39.1,True,6485,78.7,1
+2765,45,Male,126,61,254,67,149,161,133,6.3,28.5,77,206,Atypical Angina,False,1.2,True,Never,1.7,276,6.3,34.2,True,7908,88.0,0
+2766,41,Female,120,80,136,73,44,153,160,7.3,28.6,84,161,Asymptomatic,True,0.8,False,Former,1.0,221,6.8,42.3,True,8600,35.4,0
+2767,37,Male,112,67,155,44,76,146,112,5.9,31.0,83,195,Asymptomatic,False,0.5,False,Former,3.5,95,7.9,60.1,True,9046,60.3,0
+2768,58,Female,152,90,209,55,92,278,176,7.0,30.2,85,138,Non-Anginal Pain,False,4.4,False,Former,3.8,177,6.6,70.3,False,5249,78.5,1
+2769,63,Female,128,77,200,65,106,153,153,6.5,16.7,84,155,Atypical Angina,False,0.7,True,Never,2.7,109,5.2,8.4,False,500,63.4,0
+2770,63,Female,129,69,187,48,107,191,105,5.3,26.4,79,155,Atypical Angina,False,0.3,False,Current,8.7,127,6.5,58.9,True,8645,64.8,0
+2771,62,Female,127,75,228,61,142,163,89,4.7,30.2,91,168,Asymptomatic,False,0.7,False,Never,8.4,79,6.5,68.9,False,3494,54.5,0
+2772,47,Female,117,79,211,77,98,147,143,6.8,22.1,94,195,Asymptomatic,False,1.5,True,Former,2.6,171,7.2,47.9,False,6607,66.4,0
+2773,75,Male,134,80,193,41,118,188,148,7.0,31.2,84,128,Non-Anginal Pain,True,1.5,False,Former,2.7,152,8.7,52.8,False,6837,60.4,1
+2774,41,Male,129,90,216,61,119,130,68,5.1,25.7,84,174,Asymptomatic,False,0.9,False,Never,3.8,212,7.6,58.6,True,7935,42.6,0
+2775,61,Female,121,65,221,86,105,125,113,5.7,15.0,56,175,Typical Angina,False,0.3,False,Never,0.5,250,9.8,41.2,True,6193,72.4,0
+2776,49,Male,126,82,149,55,72,114,103,5.4,16.0,74,182,Asymptomatic,False,0.0,True,Former,6.1,108,5.1,56.9,False,6561,54.5,0
+2777,39,Female,102,50,178,43,97,207,109,5.2,33.5,82,205,Atypical Angina,False,3.0,True,Former,3.0,86,7.4,8.5,True,4133,46.6,0
+2778,45,Female,116,64,191,55,107,121,94,4.7,26.4,90,177,Asymptomatic,False,0.8,False,Never,2.1,104,7.4,41.9,False,5702,74.1,0
+2779,61,Female,120,77,123,44,62,119,123,5.6,27.8,71,160,Asymptomatic,False,1.5,False,Never,5.8,183,7.6,58.7,True,8243,68.4,0
+2780,68,Female,127,90,188,66,88,188,106,5.3,18.0,83,159,Asymptomatic,False,2.7,False,Never,7.0,102,4.4,57.8,False,2935,43.4,1
+2781,58,Male,141,96,194,63,79,254,94,5.6,28.4,76,172,Asymptomatic,True,0.6,False,Former,10.4,149,7.7,67.3,True,7459,52.4,0
+2782,18,Female,131,96,195,82,75,155,141,7.2,22.3,86,205,Non-Anginal Pain,False,0.6,True,Never,8.1,313,7.2,53.7,True,9464,85.0,0
+2783,63,Male,116,71,144,37,74,128,90,5.0,23.3,73,170,Asymptomatic,False,1.3,True,Former,4.5,125,7.3,44.1,True,6785,77.8,0
+2784,26,Female,117,69,187,46,102,188,112,5.5,25.1,83,208,Asymptomatic,False,0.7,False,Current,1.7,156,6.4,31.7,False,3175,70.0,0
+2785,79,Male,122,69,173,34,94,234,144,6.7,32.9,82,126,Non-Anginal Pain,True,2.6,False,Never,4.1,72,7.6,54.4,True,7525,55.0,1
+2786,57,Female,135,81,240,52,159,177,102,4.6,24.7,72,131,Asymptomatic,True,0.3,False,Former,0.5,154,5.3,50.6,False,4872,68.1,1
+2787,56,Male,118,75,165,33,111,142,102,5.6,22.5,80,128,Non-Anginal Pain,True,3.0,False,Never,10.2,137,5.5,53.4,False,3840,41.0,1
+2788,67,Female,133,88,178,43,115,127,99,4.6,21.8,68,151,Typical Angina,False,0.2,False,Current,4.8,156,7.0,56.1,False,6310,45.6,0
+2789,50,Male,137,83,221,52,141,149,143,6.1,29.0,101,159,Asymptomatic,False,1.2,False,Current,6.0,107,6.6,53.6,False,3998,62.8,0
+2790,51,Male,135,86,194,45,130,140,141,6.6,32.5,73,155,Non-Anginal Pain,True,1.1,False,Never,6.1,268,6.1,58.2,False,5782,70.9,1
+2791,49,Female,149,84,194,55,114,146,101,5.2,23.4,71,148,Asymptomatic,False,0.5,False,Former,1.4,204,5.1,53.8,False,5583,52.1,1
+2792,56,Female,124,75,186,40,102,219,119,5.0,26.4,79,169,Non-Anginal Pain,False,0.9,False,Former,7.5,64,7.2,58.7,False,1874,68.3,0
+2793,55,Male,138,90,212,41,120,202,70,4.6,27.1,70,176,Typical Angina,False,0.1,False,Never,3.5,95,8.0,56.8,False,5019,74.1,0
+2794,57,Female,129,85,201,75,82,164,110,5.9,30.6,85,146,Asymptomatic,True,0.5,False,Never,3.1,133,6.8,35.6,False,6895,70.6,1
+2795,18,Male,122,69,135,38,78,169,168,7.2,24.6,91,210,Asymptomatic,False,2.0,False,Current,3.3,74,5.9,65.1,False,4215,73.7,0
+2796,53,Female,126,89,139,52,57,144,143,6.6,28.6,82,169,Asymptomatic,False,0.2,False,Current,12.4,152,7.9,51.5,True,8698,67.5,0
+2797,33,Female,129,67,200,65,94,193,118,5.7,19.9,76,204,Atypical Angina,False,0.9,False,Never,3.6,230,6.6,58.9,True,6697,79.4,0
+2798,89,Female,123,59,144,42,56,181,108,5.9,15.0,73,146,Atypical Angina,False,0.2,False,Never,4.6,258,7.9,29.5,True,7060,41.6,0
+2799,64,Female,142,80,231,59,133,173,124,6.5,26.1,90,166,Atypical Angina,False,0.2,False,Never,6.0,122,7.8,43.8,False,6202,27.1,0
+2800,66,Female,132,91,255,75,124,182,126,5.7,25.4,84,149,Non-Anginal Pain,False,0.1,False,Former,6.0,44,7.3,35.2,False,5516,29.1,0
+2801,60,Female,133,84,249,55,158,163,147,6.6,28.8,96,155,Asymptomatic,False,2.0,False,Current,4.1,145,7.6,65.8,True,6646,65.7,1
+2802,63,Female,131,87,202,55,111,173,133,6.9,31.2,79,164,Atypical Angina,False,1.1,False,Never,1.3,95,6.0,55.3,False,5063,62.8,0
+2803,42,Female,135,87,104,45,35,111,84,4.8,28.5,92,178,Asymptomatic,False,1.0,False,Never,0.2,149,7.4,55.2,True,9314,64.0,0
+2804,64,Male,127,89,201,37,129,128,133,6.5,31.8,89,143,Typical Angina,True,1.2,False,Never,4.4,159,8.3,64.6,False,3532,70.8,1
+2805,65,Female,137,87,167,73,87,35,113,5.3,18.8,64,166,Atypical Angina,False,1.5,True,Never,3.7,188,7.6,46.3,False,5557,82.8,0
+2806,56,Male,156,100,184,61,87,182,101,5.4,26.4,78,190,Atypical Angina,False,1.6,True,Never,12.6,186,8.4,68.4,False,7042,52.0,0
+2807,64,Male,121,89,237,61,124,259,149,6.3,23.4,67,129,Non-Anginal Pain,False,2.5,True,Never,3.4,173,8.9,44.1,True,6847,52.3,1
+2808,68,Male,137,82,215,67,115,226,123,6.0,34.7,77,150,Asymptomatic,False,1.7,False,Never,2.7,78,9.0,12.2,False,6038,66.8,0
+2809,54,Female,149,88,182,47,63,300,121,5.9,25.0,82,151,Atypical Angina,False,0.3,False,Never,22.1,88,4.8,58.4,False,3329,32.2,0
+2810,39,Female,115,77,173,71,83,136,98,6.0,25.1,72,185,Atypical Angina,False,0.8,False,Never,8.9,147,5.7,30.0,False,6232,59.4,0
+2811,65,Female,130,76,209,41,136,102,103,5.3,25.1,73,163,Asymptomatic,False,1.2,False,Former,0.2,129,8.8,66.2,True,10936,57.3,0
+2812,74,Male,128,79,191,42,144,102,128,6.3,21.5,69,156,Atypical Angina,False,1.5,False,Never,1.7,94,7.7,38.4,False,3096,71.0,1
+2813,38,Female,111,72,131,57,40,143,110,6.1,28.4,78,197,Asymptomatic,False,0.2,False,Former,7.9,250,7.7,31.1,True,7811,69.4,0
+2814,69,Female,142,83,196,62,119,100,140,6.0,27.1,86,119,Atypical Angina,False,0.5,False,Never,1.4,24,6.2,69.6,False,2055,71.5,1
+2815,57,Male,102,66,238,61,139,152,99,5.6,19.4,71,148,Asymptomatic,True,4.7,False,Current,4.4,290,6.0,30.5,True,8308,85.4,1
+2816,62,Female,138,86,119,60,45,66,126,5.6,18.9,71,181,Asymptomatic,False,0.8,False,Never,0.2,197,7.2,28.8,True,7883,63.0,0
+2817,65,Female,116,70,225,50,134,207,134,6.4,30.4,65,166,Atypical Angina,False,0.9,False,Never,4.4,198,6.1,22.8,False,4309,59.4,0
+2818,40,Male,123,76,154,52,67,218,100,5.7,17.0,97,162,Atypical Angina,False,2.2,False,Never,1.6,65,8.3,82.8,False,3362,46.4,1
+2819,58,Male,126,69,201,49,111,207,151,6.7,24.7,72,173,Asymptomatic,False,0.2,True,Never,9.4,133,5.9,43.5,False,4008,36.0,0
+2820,67,Female,125,82,160,55,86,115,125,5.2,20.1,76,161,Non-Anginal Pain,False,0.3,False,Never,0.4,116,7.6,60.3,True,6765,73.4,0
+2821,73,Male,129,84,204,30,143,170,107,6.1,27.5,82,133,Asymptomatic,False,1.1,False,Never,11.3,155,7.0,51.8,True,10096,74.1,1
+2822,65,Male,138,90,240,34,154,215,149,6.1,26.8,81,147,Atypical Angina,True,2.5,False,Current,7.1,153,7.4,46.4,True,4163,52.8,1
+2823,42,Male,120,82,152,57,58,189,107,5.5,28.7,67,181,Asymptomatic,False,1.6,False,Never,5.9,122,7.7,46.3,True,6473,87.1,0
+2824,57,Female,137,85,242,68,128,171,145,6.5,27.0,84,149,Asymptomatic,False,0.5,False,Never,1.0,112,7.1,50.8,True,7588,67.2,1
+2825,51,Male,110,89,200,46,118,195,116,5.7,30.3,83,168,Asymptomatic,True,1.6,False,Never,3.0,110,7.5,63.3,True,5092,69.7,0
+2826,55,Female,125,82,237,77,140,144,92,5.2,25.6,76,174,Asymptomatic,False,0.4,False,Never,2.7,146,6.8,76.9,True,4798,85.0,0
+2827,69,Female,135,75,172,72,63,142,131,5.9,20.6,76,174,Atypical Angina,False,1.4,False,Never,5.5,215,6.9,57.1,True,8506,68.9,0
+2828,36,Male,141,84,175,48,82,128,87,5.7,22.4,70,210,Asymptomatic,True,0.1,False,Never,1.9,164,7.0,29.8,False,6655,66.2,0
+2829,61,Male,118,68,201,68,112,100,137,6.1,26.3,80,176,Asymptomatic,False,0.6,False,Former,5.1,194,8.9,27.5,False,5600,64.7,0
+2830,60,Male,118,76,138,66,58,80,107,5.3,23.0,81,171,Asymptomatic,False,0.1,True,Current,4.9,199,8.3,2.6,True,7259,52.9,0
+2831,41,Female,137,88,222,49,136,215,80,5.1,33.6,88,184,Asymptomatic,True,1.1,False,Never,0.8,107,6.2,48.8,False,4818,53.9,0
+2832,69,Female,125,80,257,78,155,146,144,6.6,33.7,81,143,Typical Angina,True,0.8,True,Never,0.6,196,5.4,43.5,True,5973,36.1,1
+2833,46,Female,122,85,229,76,129,180,108,5.9,26.2,84,190,Non-Anginal Pain,True,0.2,True,Never,10.9,125,8.5,45.7,False,8379,55.4,0
+2834,55,Female,123,79,174,71,87,117,129,5.5,27.2,94,183,Asymptomatic,False,0.9,False,Never,0.6,209,8.2,74.5,True,4358,67.9,0
+2835,20,Female,105,79,202,55,121,132,111,5.5,20.3,84,198,Non-Anginal Pain,False,1.3,False,Never,11.3,194,5.2,65.4,False,7240,77.1,0
+2836,69,Male,120,83,238,66,141,174,165,6.9,20.2,67,159,Non-Anginal Pain,False,0.5,False,Former,3.7,148,7.6,47.8,False,5908,58.8,0
+2837,50,Male,130,76,149,38,54,231,134,6.5,22.6,93,150,Non-Anginal Pain,True,3.0,False,Current,10.3,42,7.9,52.1,False,7216,33.6,1
+2838,50,Female,128,78,207,48,134,175,109,5.3,31.6,103,147,Non-Anginal Pain,False,1.4,False,Never,4.5,88,5.9,53.8,False,617,41.2,1
+2839,73,Female,156,89,201,53,106,151,121,6.2,24.7,73,141,Asymptomatic,True,0.5,True,Never,23.0,64,10.0,47.5,True,7437,62.9,1
+2840,29,Female,106,70,181,69,87,130,128,5.3,23.8,82,176,Non-Anginal Pain,False,0.7,True,Never,4.2,231,7.4,34.8,True,5888,46.3,0
+2841,65,Female,130,70,235,57,149,140,186,8.2,25.1,79,135,Non-Anginal Pain,False,6.5,True,Current,1.0,110,7.7,32.1,False,2735,60.1,1
+2842,68,Female,135,91,183,49,129,118,123,5.5,28.4,79,154,Atypical Angina,False,2.5,False,Never,1.7,176,6.7,20.1,True,8646,63.6,0
+2843,28,Male,141,88,142,42,83,141,129,5.3,21.6,94,205,Atypical Angina,False,0.1,False,Never,3.6,126,7.6,33.6,False,6770,40.6,0
+2844,57,Male,132,92,153,32,92,228,131,5.7,27.5,70,169,Asymptomatic,True,2.4,False,Former,14.4,186,9.1,48.6,True,6003,53.1,0
+2845,49,Male,153,103,191,58,129,111,126,5.9,30.1,79,153,Atypical Angina,True,3.0,False,Current,7.0,179,5.4,45.6,True,9772,66.6,1
+2846,40,Male,140,74,248,71,121,236,131,6.6,26.8,99,199,Asymptomatic,False,0.9,False,Former,12.0,299,7.4,46.6,True,8564,75.4,0
+2847,37,Female,96,59,226,77,136,91,107,4.9,19.5,82,172,Asymptomatic,False,0.8,True,Former,1.6,193,8.3,41.1,True,5818,52.8,0
+2848,64,Male,120,84,153,51,72,125,85,4.8,24.8,91,163,Asymptomatic,False,0.2,False,Never,3.5,154,8.7,19.2,True,8926,57.0,0
+2849,69,Female,136,84,157,30,94,115,109,5.6,22.4,90,124,Atypical Angina,False,0.8,True,Former,2.1,0,6.3,48.6,False,4830,68.3,1
+2850,39,Male,130,83,166,64,70,203,121,6.3,27.4,84,188,Non-Anginal Pain,False,0.5,False,Never,16.0,62,5.2,22.1,False,3628,77.0,0
+2851,42,Male,100,66,162,49,96,43,124,5.8,18.9,72,174,Atypical Angina,False,0.0,False,Never,1.7,125,9.2,45.0,True,4871,71.4,0
+2852,65,Male,132,89,203,61,110,185,134,6.7,23.1,76,146,Asymptomatic,True,0.3,True,Former,7.4,179,8.7,9.3,True,5663,66.8,1
+2853,86,Female,128,83,262,68,133,228,163,7.3,30.8,103,115,Typical Angina,True,0.6,True,Never,4.4,75,4.7,73.7,False,1802,56.9,1
+2854,34,Male,115,68,147,58,65,94,85,5.2,22.5,83,201,Asymptomatic,False,0.9,False,Former,3.0,143,6.7,52.8,False,2555,48.7,0
+2855,35,Female,111,75,176,56,73,211,98,5.7,21.9,82,193,Asymptomatic,True,0.7,False,Never,6.9,232,8.1,15.5,True,7108,65.8,0
+2856,40,Male,129,83,192,62,88,206,113,5.8,32.0,69,167,Typical Angina,False,2.9,False,Never,1.8,250,7.9,70.0,False,9742,52.7,1
+2857,40,Female,119,69,172,77,61,174,91,5.5,27.9,62,172,Typical Angina,False,0.5,False,Never,1.1,144,6.5,13.8,False,9133,97.7,0
+2858,69,Female,143,90,191,55,111,150,122,5.7,30.8,87,157,Asymptomatic,False,0.6,False,Current,2.3,174,7.5,77.2,True,8400,60.2,0
+2859,40,Male,110,56,201,71,122,77,116,5.6,30.7,77,185,Asymptomatic,False,1.0,False,Never,3.4,193,7.6,20.1,False,8657,67.4,0
+2860,84,Female,117,54,270,58,177,162,87,4.9,20.7,69,111,Asymptomatic,True,1.2,False,Current,0.9,225,6.4,65.8,True,8946,72.9,1
+2861,60,Male,121,71,264,66,158,157,92,4.9,15.0,83,171,Asymptomatic,True,0.8,False,Never,8.5,157,6.8,31.4,True,8011,51.7,0
+2862,68,Female,137,83,191,56,118,136,137,6.5,22.7,76,136,Asymptomatic,False,1.4,True,Former,4.4,91,7.7,47.2,False,3701,42.4,1
+2863,62,Female,126,62,224,71,111,193,153,7.2,28.6,83,151,Asymptomatic,False,1.2,False,Never,3.4,170,6.1,58.0,True,8273,64.3,0
+2864,40,Female,131,82,152,41,71,104,79,4.8,18.6,77,206,Atypical Angina,False,2.7,True,Current,0.0,251,6.6,29.4,True,10252,48.7,0
+2865,36,Female,134,77,218,60,131,153,138,6.4,25.9,81,187,Non-Anginal Pain,False,0.2,False,Never,3.0,178,7.9,32.8,True,9240,77.6,0
+2866,67,Female,135,84,202,64,129,62,98,5.3,26.3,78,124,Asymptomatic,True,0.1,True,Never,2.4,36,7.3,28.0,False,4345,78.4,1
+2867,70,Male,138,87,172,59,85,141,95,4.9,22.1,64,147,Asymptomatic,False,0.9,False,Never,6.1,160,8.7,47.9,False,8881,47.7,0
+2868,60,Female,122,82,196,57,134,61,146,6.9,23.9,93,160,Non-Anginal Pain,False,0.5,False,Never,1.2,0,7.2,64.9,False,2790,77.4,0
+2869,54,Female,124,72,216,51,128,229,129,6.1,28.2,75,156,Non-Anginal Pain,False,1.2,True,Never,9.7,196,8.1,31.4,False,8116,49.0,1
+2870,55,Female,126,84,164,54,95,134,98,4.8,20.8,70,176,Asymptomatic,False,0.3,False,Never,2.3,185,8.2,50.8,False,3985,51.1,0
+2871,57,Female,129,81,104,51,54,75,88,5.2,24.9,75,175,Asymptomatic,True,1.3,True,Former,10.0,121,8.4,64.4,True,4352,52.5,0
+2872,36,Male,108,58,209,46,119,182,117,6.2,25.4,80,210,Atypical Angina,True,0.0,False,Never,5.5,267,7.1,82.0,False,6758,50.9,0
+2873,55,Male,138,82,156,58,68,106,127,5.6,17.8,65,162,Asymptomatic,False,0.8,True,Former,11.9,260,7.3,31.4,False,5886,66.5,0
+2874,54,Male,125,88,152,47,84,102,112,5.7,35.8,78,160,Atypical Angina,False,0.5,False,Never,5.4,60,6.5,14.7,False,7094,90.7,0
+2875,30,Female,115,59,129,59,47,153,158,7.1,28.7,100,190,Non-Anginal Pain,False,1.3,True,Former,4.3,21,6.1,47.8,False,4770,72.1,0
+2876,18,Male,118,78,206,56,134,164,154,6.6,29.3,86,199,Asymptomatic,False,0.3,True,Never,10.1,192,6.8,42.8,True,7028,36.1,0
+2877,51,Male,118,80,162,42,94,127,119,5.2,22.8,89,140,Typical Angina,False,0.9,True,Never,3.0,113,8.6,27.0,False,6472,67.7,1
+2878,27,Female,110,75,191,73,65,191,141,6.4,19.3,65,181,Non-Anginal Pain,False,1.0,False,Former,2.8,131,7.3,46.9,False,5875,59.4,0
+2879,23,Female,106,66,184,71,74,238,105,5.4,18.7,80,209,Asymptomatic,False,0.1,True,Never,3.3,204,4.8,50.4,False,6230,84.2,0
+2880,31,Male,91,59,143,54,83,115,96,5.4,23.0,85,189,Atypical Angina,False,0.8,True,Never,1.7,134,7.0,48.0,False,4521,68.9,0
+2881,57,Male,131,89,196,63,103,142,134,6.2,29.2,72,162,Asymptomatic,False,1.4,False,Never,3.6,133,6.3,45.8,True,8678,67.4,0
+2882,53,Male,115,77,194,41,111,226,124,6.2,34.1,85,139,Asymptomatic,False,0.2,True,Current,8.0,136,8.4,48.0,True,7042,33.1,1
+2883,55,Male,132,90,227,55,123,221,135,5.5,26.8,100,176,Asymptomatic,False,1.2,False,Former,6.4,82,7.4,74.4,False,3399,62.7,0
+2884,77,Male,127,90,166,52,73,202,148,6.3,26.9,81,147,Asymptomatic,False,2.6,False,Never,7.6,86,7.6,56.1,True,4849,49.6,0
+2885,61,Male,131,80,236,40,176,108,107,5.6,21.6,91,151,Asymptomatic,False,0.4,True,Former,9.6,90,8.8,49.6,False,5431,23.2,0
+2886,75,Male,148,91,167,65,89,110,95,4.9,21.1,65,124,Atypical Angina,False,1.1,False,Never,2.0,49,6.6,59.6,False,1023,80.2,0
+2887,57,Male,103,63,161,28,83,234,143,6.9,27.3,80,154,Non-Anginal Pain,False,0.2,True,Former,1.6,186,8.2,43.3,True,8199,56.8,1
+2888,68,Female,105,78,211,53,118,184,103,6.0,24.5,79,134,Asymptomatic,False,2.9,False,Never,1.3,42,6.9,61.9,False,1733,52.8,1
+2889,75,Female,129,87,170,48,84,236,147,6.9,30.0,79,155,Asymptomatic,False,0.9,False,Never,13.1,75,6.3,64.2,True,1916,52.3,0
+2890,81,Female,147,85,212,50,134,124,142,6.3,32.4,70,127,Atypical Angina,False,1.1,True,Former,0.5,46,7.2,63.1,False,4912,38.2,1
+2891,51,Male,129,89,170,41,95,192,94,4.6,23.4,90,160,Atypical Angina,False,0.3,False,Never,7.7,138,7.6,60.7,True,9182,42.1,1
+2892,38,Female,118,77,216,66,116,202,119,5.7,25.7,65,193,Typical Angina,False,0.6,False,Never,21.5,183,7.0,46.5,True,5377,48.2,0
+2893,55,Male,141,80,167,56,72,124,121,5.9,17.8,81,150,Atypical Angina,False,2.9,True,Never,25.4,217,6.9,56.5,True,8576,78.5,1
+2894,72,Male,122,73,163,34,88,151,127,6.1,29.9,93,137,Non-Anginal Pain,False,0.4,False,Never,5.5,173,7.7,45.9,True,7234,45.0,1
+2895,75,Female,118,83,202,61,97,192,125,6.1,25.7,79,160,Non-Anginal Pain,False,0.2,True,Never,5.6,162,6.7,37.3,True,7562,71.9,0
+2896,56,Male,125,76,191,36,124,153,143,6.5,21.1,70,131,Asymptomatic,True,0.5,False,Current,18.4,248,6.2,39.4,True,8671,73.5,1
+2897,59,Male,133,80,146,54,70,139,140,6.5,23.6,87,174,Asymptomatic,False,0.2,False,Former,10.1,91,7.5,27.4,False,5806,44.0,0
+2898,75,Female,138,91,180,76,80,90,107,5.2,19.4,78,146,Asymptomatic,False,0.2,False,Former,1.2,213,6.3,41.6,True,10597,63.4,0
+2899,56,Male,133,82,153,42,80,204,120,5.9,31.8,85,176,Non-Anginal Pain,False,0.5,False,Current,9.2,198,5.6,64.9,True,6258,63.7,0
+2900,63,Male,149,90,169,55,103,60,91,5.2,18.3,87,151,Non-Anginal Pain,True,0.0,False,Former,7.3,155,6.2,87.0,True,7538,59.8,0
+2901,67,Male,147,87,190,51,103,149,95,5.2,34.7,74,181,Asymptomatic,False,0.5,True,Never,10.9,117,7.4,45.0,True,6007,70.7,0
+2902,51,Male,136,80,127,36,73,136,122,6.3,22.8,99,192,Asymptomatic,False,0.1,False,Never,2.6,22,9.2,62.2,False,3047,50.9,0
+2903,43,Male,123,92,146,73,54,115,93,5.4,24.8,79,190,Typical Angina,False,0.4,True,Former,1.8,201,5.9,39.0,True,8548,72.1,0
+2904,87,Male,145,92,179,54,92,209,142,6.7,27.0,89,115,Non-Anginal Pain,False,1.3,False,Former,18.7,139,7.3,57.6,True,8122,64.3,1
+2905,46,Male,142,93,178,37,107,140,80,4.8,23.0,84,187,Non-Anginal Pain,True,1.1,False,Never,3.1,126,6.7,41.3,True,8683,64.2,0
+2906,40,Male,117,65,161,64,60,217,98,5.3,27.4,86,192,Asymptomatic,False,0.7,False,Never,2.5,189,7.4,35.5,False,4783,75.7,0
+2907,51,Male,141,79,181,50,89,198,144,6.6,26.8,69,168,Asymptomatic,False,0.5,False,Former,4.4,137,8.2,50.6,True,6093,59.8,0
+2908,56,Male,125,84,209,41,127,153,139,6.4,29.0,81,167,Atypical Angina,False,1.9,True,Never,3.0,184,7.9,10.7,False,6682,43.6,0
+2909,58,Female,151,85,186,63,125,71,165,6.6,22.2,90,165,Non-Anginal Pain,True,1.2,False,Current,3.5,182,8.7,55.8,False,8794,70.5,1
+2910,50,Male,124,86,195,63,98,122,119,5.4,25.1,68,194,Asymptomatic,False,0.9,False,Never,2.0,274,8.6,33.2,True,10828,66.6,0
+2911,61,Female,110,77,200,66,115,153,95,5.3,17.8,87,177,Non-Anginal Pain,True,2.0,False,Never,3.6,75,5.0,32.1,False,6314,52.2,1
+2912,77,Male,125,87,201,66,110,108,137,6.0,22.3,68,168,Asymptomatic,False,1.5,False,Never,5.7,344,7.3,50.3,True,11962,59.0,0
+2913,50,Male,137,85,164,65,61,125,152,7.1,27.0,97,176,Asymptomatic,False,0.3,True,Never,6.7,84,6.5,53.3,False,6531,50.8,0
+2914,55,Female,121,79,156,67,77,58,84,4.5,17.3,69,148,Asymptomatic,False,0.4,True,Never,2.8,157,8.5,42.0,True,5919,61.7,0
+2915,73,Female,110,72,200,59,111,187,130,6.2,33.4,96,132,Asymptomatic,False,0.7,False,Never,10.0,99,7.6,61.9,False,3620,88.0,1
+2916,40,Male,120,67,167,43,81,216,129,6.3,24.8,79,188,Asymptomatic,True,1.8,False,Never,1.6,140,5.7,28.4,True,6413,72.3,0
+2917,38,Female,130,80,175,55,104,167,142,5.9,29.4,83,187,Asymptomatic,False,0.1,False,Never,0.5,181,8.9,43.0,True,7506,45.9,0
+2918,45,Male,125,69,201,44,113,166,127,6.4,20.5,72,163,Typical Angina,False,0.5,False,Former,6.7,120,6.0,34.1,False,1497,56.5,0
+2919,52,Female,130,83,194,61,134,48,126,5.9,19.9,77,165,Non-Anginal Pain,False,1.2,False,Never,4.9,111,7.5,29.1,False,3501,57.6,0
+2920,66,Female,113,69,190,69,96,99,108,5.5,19.2,72,150,Asymptomatic,False,0.2,True,Never,1.3,68,8.9,59.5,False,5895,71.0,0
+2921,32,Male,117,70,184,54,69,241,135,6.5,27.0,81,184,Typical Angina,False,0.0,False,Former,11.2,110,7.0,32.0,True,8019,63.1,0
+2922,45,Male,109,59,193,57,116,128,84,4.6,23.0,82,186,Non-Anginal Pain,False,0.2,True,Current,3.0,160,6.1,55.7,False,4872,49.8,0
+2923,39,Female,139,96,194,63,131,54,120,5.5,25.3,91,192,Asymptomatic,False,1.0,False,Never,2.2,164,6.1,49.2,False,7004,63.7,0
+2924,33,Male,130,84,143,43,86,82,137,6.3,23.8,73,166,Asymptomatic,False,1.9,False,Current,1.8,226,6.0,27.9,True,6753,53.7,1
+2925,37,Male,103,50,193,65,120,91,92,5.4,25.2,76,189,Atypical Angina,False,2.9,False,Never,2.9,172,6.8,37.3,True,9364,61.7,0
+2926,64,Female,119,81,188,63,110,137,99,4.8,31.3,83,156,Asymptomatic,False,1.1,False,Never,3.0,130,4.0,38.6,False,3789,62.4,0
+2927,55,Female,138,74,193,58,113,97,124,6.0,20.4,82,167,Asymptomatic,False,0.1,True,Never,5.0,144,7.7,58.5,False,5664,93.1,0
+2928,56,Female,125,77,194,30,106,264,143,6.3,39.1,90,171,Non-Anginal Pain,True,0.1,False,Never,0.0,25,6.3,24.3,False,3247,53.1,0
+2929,62,Female,133,88,175,57,118,102,97,4.8,22.4,85,140,Typical Angina,False,1.2,False,Never,7.7,106,6.5,22.3,False,5679,32.4,0
+2930,60,Female,140,93,200,57,127,107,88,4.8,24.4,86,172,Asymptomatic,False,3.6,False,Never,5.9,150,7.3,59.8,True,5931,59.0,0
+2931,60,Female,122,74,161,37,83,186,122,5.9,24.2,84,169,Non-Anginal Pain,True,0.1,False,Current,5.0,163,9.9,34.6,True,5705,53.8,1
+2932,80,Male,136,80,142,38,104,44,139,6.4,31.8,81,123,Asymptomatic,True,0.1,False,Never,2.9,69,7.5,58.8,False,1370,66.0,1
+2933,63,Male,116,68,263,63,163,160,110,5.4,27.3,78,128,Non-Anginal Pain,True,1.5,False,Former,4.4,206,4.4,14.0,True,8491,56.4,1
+2934,18,Female,102,65,139,57,68,80,83,4.6,15.2,74,209,Asymptomatic,False,0.5,False,Never,0.2,173,5.6,35.2,True,7201,91.1,0
+2935,62,Male,143,86,212,80,104,119,147,6.4,24.1,73,152,Asymptomatic,False,1.1,True,Never,1.9,117,7.1,22.8,True,8833,38.6,0
+2936,67,Female,136,97,106,50,44,35,67,4.2,15.2,76,170,Non-Anginal Pain,True,0.6,True,Never,7.8,148,7.4,63.5,True,3769,60.1,0
+2937,61,Male,151,103,206,63,107,210,116,6.0,33.1,82,145,Asymptomatic,False,0.1,False,Current,11.6,144,6.7,61.1,True,7812,64.7,1
+2938,46,Male,124,79,152,44,104,136,134,5.6,21.6,79,190,Asymptomatic,False,0.2,False,Never,3.5,235,6.3,50.8,False,6748,59.4,0
+2939,40,Female,138,89,183,67,90,143,98,5.5,26.9,71,164,Asymptomatic,False,0.5,False,Never,1.7,173,7.3,89.1,True,6811,47.9,0
+2940,55,Male,114,83,192,46,122,131,134,6.2,29.2,76,153,Atypical Angina,False,1.2,False,Never,7.5,188,5.0,25.1,True,6558,81.7,1
+2941,63,Female,156,100,187,61,111,143,146,6.6,30.7,86,118,Asymptomatic,True,1.3,False,Former,6.3,0,6.8,40.0,False,6431,39.9,1
+2942,66,Female,130,81,159,47,75,157,104,5.3,27.8,71,147,Atypical Angina,False,0.1,False,Former,6.7,37,4.5,67.2,False,4078,60.5,0
+2943,29,Male,106,67,172,61,93,165,105,5.5,26.4,67,210,Non-Anginal Pain,False,1.2,False,Former,3.4,282,8.2,34.5,True,8202,47.9,0
+2944,59,Male,124,75,193,31,144,116,89,4.9,24.5,92,151,Asymptomatic,False,0.8,False,Former,13.0,34,5.5,17.1,False,6218,54.6,1
+2945,71,Female,145,110,171,40,109,129,131,5.9,26.8,88,141,Non-Anginal Pain,True,0.0,True,Former,22.6,80,6.4,70.3,False,5243,46.9,1
+2946,64,Male,143,90,208,68,125,90,138,6.5,19.7,91,155,Asymptomatic,False,0.2,False,Former,1.5,71,7.8,47.9,True,7193,64.3,0
+2947,89,Male,145,94,214,41,149,140,139,6.4,26.6,83,120,Atypical Angina,False,0.1,True,Current,2.8,244,5.0,57.2,True,9530,68.8,1
+2948,45,Female,105,61,212,64,106,206,111,5.2,28.1,89,171,Non-Anginal Pain,False,0.7,False,Former,6.9,127,6.4,69.7,False,5265,43.4,0
+2949,38,Male,95,54,149,42,99,96,137,6.2,25.9,77,193,Typical Angina,False,0.5,False,Former,5.5,140,8.7,54.3,False,7505,65.7,0
+2950,66,Female,138,102,171,60,73,193,141,6.3,25.8,84,169,Typical Angina,False,0.2,False,Never,1.6,82,5.2,49.1,True,6827,66.4,0
+2951,74,Female,128,78,274,74,159,183,106,5.9,21.9,75,130,Atypical Angina,False,0.2,True,Never,2.2,28,5.8,44.3,False,3247,69.9,1
+2952,40,Female,112,63,137,57,71,63,160,6.8,26.8,87,183,Typical Angina,False,1.4,False,Never,0.5,80,3.9,71.6,False,7641,74.0,0
+2953,55,Male,113,61,189,56,109,154,89,4.5,25.3,77,165,Asymptomatic,False,0.9,True,Never,8.1,233,8.9,39.4,True,6033,54.8,0
+2954,57,Female,130,75,136,56,50,152,107,6.1,18.0,66,167,Asymptomatic,False,0.1,False,Former,12.3,218,6.2,27.0,False,1889,85.7,0
+2955,60,Female,125,80,227,71,107,209,171,7.4,24.1,91,157,Atypical Angina,False,3.7,False,Never,4.3,156,6.3,15.3,True,6387,83.7,0
+2956,71,Male,118,69,212,49,121,150,142,6.4,24.2,80,116,Asymptomatic,True,1.9,False,Never,9.4,49,7.2,70.7,False,2996,42.7,1
+2957,86,Male,149,107,189,52,131,96,146,6.8,24.0,81,120,Asymptomatic,False,1.3,False,Former,1.6,59,7.0,58.4,False,4514,70.5,1
+2958,46,Male,131,89,182,51,108,187,63,4.8,20.8,83,169,Atypical Angina,False,0.1,True,Current,2.1,231,6.0,22.9,True,8586,45.2,0
+2959,50,Male,121,71,179,46,84,223,114,5.6,26.4,78,174,Asymptomatic,False,1.5,False,Never,7.0,206,6.1,40.9,True,7971,71.7,0
+2960,34,Male,122,76,148,47,60,174,127,5.9,25.9,82,199,Asymptomatic,False,2.8,False,Never,3.8,25,6.5,42.6,False,1707,72.2,0
+2961,65,Male,139,93,191,61,81,186,119,6.1,27.6,79,153,Asymptomatic,False,0.5,False,Never,19.9,161,6.5,50.9,False,5219,47.5,0
+2962,39,Male,132,85,127,40,46,218,124,5.7,27.4,90,187,Typical Angina,False,0.3,False,Never,2.0,134,8.4,41.2,True,7352,70.0,0
+2963,56,Female,125,74,159,60,68,163,103,5.4,26.6,82,166,Asymptomatic,False,0.1,False,Former,1.5,119,8.2,20.6,False,4709,76.8,0
+2964,60,Male,140,96,209,45,130,138,97,4.8,26.3,82,157,Non-Anginal Pain,True,2.6,True,Current,8.8,228,5.7,24.3,True,7134,51.6,1
+2965,72,Female,140,91,247,75,135,112,124,5.9,25.3,88,154,Asymptomatic,False,1.2,False,Never,0.3,117,6.8,67.8,False,6673,60.8,0
+2966,53,Female,132,88,169,71,80,122,135,6.4,18.9,77,177,Atypical Angina,False,0.1,True,Never,13.8,161,7.4,42.6,True,4991,62.5,0
+2967,47,Male,122,78,103,52,37,135,110,5.2,29.5,82,173,Asymptomatic,False,0.4,False,Never,3.5,174,7.3,56.4,True,8512,56.2,0
+2968,45,Male,115,86,184,74,94,146,135,6.3,20.5,82,186,Non-Anginal Pain,False,0.2,False,Never,13.2,226,7.1,46.2,False,7185,77.3,0
+2969,67,Female,118,73,195,66,102,199,113,5.9,29.5,94,154,Typical Angina,False,0.7,False,Never,0.4,124,7.2,58.9,False,5881,60.0,1
+2970,49,Male,122,85,145,62,51,155,107,5.5,21.0,89,182,Asymptomatic,False,0.0,True,Never,17.8,208,4.4,76.4,False,6557,96.9,0
+2971,55,Male,115,69,214,66,98,171,107,5.5,24.9,82,186,Atypical Angina,False,0.9,False,Never,2.6,163,7.7,41.1,False,5660,52.5,0
+2972,64,Male,131,78,215,74,115,119,142,5.9,30.0,84,135,Asymptomatic,True,0.1,False,Never,3.3,63,7.6,35.8,False,2712,68.0,0
+2973,72,Male,129,91,179,63,71,219,106,5.7,17.4,78,139,Non-Anginal Pain,False,0.5,False,Former,7.3,164,8.0,40.8,True,5812,63.6,0
+2974,70,Male,136,94,161,56,91,105,118,5.9,23.7,72,163,Asymptomatic,False,0.2,False,Never,3.8,170,7.5,16.0,True,8956,48.2,0
+2975,35,Male,134,81,181,30,111,166,123,5.7,30.7,90,186,Asymptomatic,False,0.2,True,Never,5.4,91,6.5,47.4,False,7680,74.9,0
+2976,39,Female,117,78,215,52,114,213,103,5.3,30.5,76,198,Asymptomatic,False,0.1,False,Former,8.9,173,9.8,35.6,False,5744,43.8,0
+2977,59,Male,133,86,180,47,111,70,105,5.2,21.5,91,137,Asymptomatic,True,3.4,False,Current,1.8,164,6.5,69.1,True,7404,51.3,1
+2978,62,Female,146,94,166,65,74,90,118,5.5,26.4,68,162,Asymptomatic,False,1.2,True,Never,4.3,71,7.1,58.3,False,4663,67.1,0
+2979,58,Female,130,92,173,56,106,113,160,6.7,29.2,82,132,Non-Anginal Pain,False,0.7,False,Current,1.5,116,6.3,48.1,False,7140,67.8,0
+2980,72,Female,146,95,198,52,121,180,129,6.1,36.7,87,140,Non-Anginal Pain,False,0.2,False,Former,0.2,8,7.8,22.4,False,2905,49.8,0
+2981,75,Male,139,92,190,54,112,145,133,6.4,26.0,82,138,Non-Anginal Pain,True,2.1,True,Never,3.1,55,7.0,55.6,False,5220,66.3,1
+2982,53,Male,130,78,192,53,94,210,118,5.3,23.9,80,177,Non-Anginal Pain,False,0.1,False,Former,2.4,203,7.8,40.4,True,10088,80.5,0
+2983,56,Female,147,89,203,52,109,187,99,5.8,22.0,94,133,Non-Anginal Pain,False,3.4,False,Former,0.8,6,7.4,61.5,False,4315,53.1,1
+2984,69,Female,166,93,178,50,110,192,164,7.2,33.6,89,122,Asymptomatic,True,0.5,False,Former,0.6,0,6.1,84.3,False,3771,39.9,1
+2985,66,Female,127,93,201,55,114,180,101,5.2,18.9,63,146,Asymptomatic,False,0.4,False,Never,3.4,145,8.4,48.2,False,5391,62.7,0
+2986,40,Female,119,79,196,58,113,133,129,6.3,29.0,91,191,Asymptomatic,False,1.2,False,Never,7.6,217,6.7,40.6,False,7852,53.8,0
+2987,37,Female,106,76,168,66,58,173,111,5.5,23.1,88,183,Non-Anginal Pain,True,2.7,True,Never,4.4,143,5.8,52.7,True,8658,71.6,0
+2988,30,Female,108,82,139,60,79,35,142,6.7,24.4,86,172,Atypical Angina,False,2.3,False,Current,3.9,206,4.9,45.5,True,9587,28.2,1
+2989,54,Female,102,69,195,31,129,183,128,6.2,25.8,82,164,Atypical Angina,False,0.2,False,Current,0.2,117,8.7,32.9,True,8527,59.7,1
+2990,46,Female,118,79,273,49,175,200,139,6.5,32.4,82,166,Asymptomatic,False,0.8,False,Current,8.8,105,7.9,76.7,True,7597,45.1,0
+2991,45,Female,115,70,231,69,122,183,169,7.0,21.8,65,181,Non-Anginal Pain,False,0.8,False,Former,8.5,122,7.9,30.1,True,6075,37.7,0
+2992,33,Male,129,84,197,83,74,188,84,5.0,22.5,73,184,Non-Anginal Pain,False,0.2,False,Former,7.8,196,6.4,43.6,False,7599,79.1,0
+2993,53,Female,132,85,157,48,99,72,153,6.7,29.8,81,149,Asymptomatic,False,1.0,False,Former,4.8,58,7.8,65.8,False,2708,60.9,1
+2994,34,Male,135,69,177,58,82,196,146,6.6,27.2,88,194,Asymptomatic,False,0.2,False,Never,3.2,164,7.5,47.4,True,6570,75.0,0
+2995,38,Male,113,72,208,72,105,86,160,6.3,16.1,67,195,Asymptomatic,False,0.7,False,Former,13.6,131,5.4,29.7,False,6781,57.2,0
+2996,49,Female,140,85,196,66,108,151,133,6.0,27.1,85,178,Asymptomatic,True,1.7,False,Never,11.2,225,8.3,32.1,True,11647,51.2,1
+2997,60,Female,122,70,200,56,107,156,122,6.4,28.9,72,172,Asymptomatic,False,0.4,False,Never,0.6,112,6.4,23.3,True,7279,50.0,0
+2998,54,Female,127,86,210,47,143,101,121,6.5,29.0,75,181,Asymptomatic,True,1.5,True,Never,4.5,216,6.3,34.6,True,7564,47.3,0
+2999,63,Female,138,98,142,45,90,115,95,5.1,20.5,70,153,Asymptomatic,False,0.4,False,Never,2.0,81,8.0,63.8,False,4259,63.8,0
+3000,53,Male,124,89,154,38,99,81,87,5.0,24.6,77,186,Non-Anginal Pain,False,0.5,False,Current,4.0,173,6.3,55.5,True,6376,64.6,0
+3001,48,Female,107,71,180,88,84,103,98,5.0,15.0,80,198,Non-Anginal Pain,False,0.3,False,Never,4.6,275,4.9,50.4,True,11221,80.0,0
+3002,49,Male,127,75,147,53,74,141,121,5.8,32.0,85,153,Asymptomatic,False,0.4,False,Former,2.8,126,7.2,36.6,True,8432,63.7,0
+3003,42,Female,137,84,160,44,68,229,98,5.4,27.6,69,202,Non-Anginal Pain,False,0.3,False,Former,1.7,132,6.3,21.8,True,8226,59.5,0
+3004,54,Female,109,89,212,67,101,116,117,5.6,15.0,81,166,Asymptomatic,False,1.8,False,Never,0.5,210,7.5,55.5,True,7027,73.1,0
+3005,69,Female,136,78,192,79,75,118,144,6.2,22.6,90,143,Atypical Angina,False,0.7,False,Former,3.6,130,7.8,55.7,True,6940,47.6,0
+3006,64,Male,121,64,158,56,78,197,142,6.3,25.9,89,167,Non-Anginal Pain,False,0.5,False,Never,9.9,30,7.6,48.0,False,6363,64.9,0
+3007,63,Male,115,63,232,49,152,198,130,5.6,19.9,78,166,Atypical Angina,False,0.5,False,Never,5.3,245,7.2,59.9,False,5136,60.2,0
+3008,59,Male,135,109,146,23,96,136,126,6.0,26.2,91,148,Asymptomatic,True,0.2,True,Current,5.6,34,8.1,44.5,False,3425,30.0,1
+3009,57,Male,142,85,213,59,154,54,103,5.8,25.5,85,150,Asymptomatic,False,2.4,True,Current,2.2,206,7.6,70.3,True,6008,70.9,1
+3010,55,Female,105,63,230,70,130,148,99,4.9,22.5,78,179,Non-Anginal Pain,False,0.1,False,Current,14.0,135,5.3,15.9,False,4245,51.4,0
+3011,39,Male,131,86,133,74,35,126,142,6.3,21.7,82,189,Typical Angina,False,0.2,False,Never,8.3,134,9.0,76.6,False,6963,62.3,0
+3012,39,Male,131,79,150,67,82,75,103,5.3,30.3,74,178,Asymptomatic,False,0.3,False,Never,7.1,181,6.9,31.4,True,6347,62.3,0
+3013,41,Female,127,87,132,37,91,99,108,5.7,25.2,78,182,Asymptomatic,False,0.5,True,Former,6.1,144,7.8,8.4,True,10521,32.8,0
+3014,66,Female,128,79,175,79,79,89,90,5.5,21.3,74,173,Asymptomatic,False,0.7,False,Never,2.1,128,4.9,43.4,False,5521,61.2,0
+3015,45,Female,119,75,230,47,135,225,117,6.0,24.6,87,164,Asymptomatic,True,1.9,False,Current,5.4,264,8.0,44.5,False,6186,64.8,1
+3016,62,Male,122,76,215,59,117,158,80,4.4,18.7,71,171,Non-Anginal Pain,True,0.2,False,Former,2.6,173,6.6,35.3,False,5088,58.9,0
+3017,39,Male,112,65,139,63,58,105,97,5.2,26.3,80,200,Non-Anginal Pain,False,1.0,False,Former,3.5,311,6.8,75.8,True,7428,75.5,0
+3018,50,Female,140,92,207,66,116,114,142,6.5,23.9,89,153,Non-Anginal Pain,False,1.9,False,Never,0.2,117,8.4,29.0,False,4275,54.3,0
+3019,41,Female,112,68,151,60,98,40,131,6.2,25.7,83,193,Asymptomatic,False,0.1,False,Never,2.3,322,7.7,66.0,True,10611,71.6,0
+3020,63,Male,123,87,213,65,127,138,99,5.6,28.1,79,158,Atypical Angina,True,0.4,False,Never,4.2,154,9.0,47.8,True,5464,59.1,1
+3021,80,Male,164,95,247,78,127,124,156,6.7,26.4,71,129,Asymptomatic,True,0.4,False,Former,1.9,118,6.5,66.2,True,7090,63.9,1
+3022,37,Male,128,86,150,58,59,141,154,7.0,25.6,77,210,Asymptomatic,False,2.9,False,Never,2.5,181,8.2,24.0,True,5759,72.1,0
+3023,58,Male,125,75,217,49,130,165,136,6.3,21.2,74,151,Typical Angina,False,1.0,False,Current,4.9,169,6.3,38.3,True,8950,56.8,1
+3024,43,Male,106,80,205,62,97,200,149,6.5,21.2,80,163,Non-Anginal Pain,False,0.6,False,Current,9.7,267,5.4,41.4,True,9254,76.2,0
+3025,63,Female,151,94,224,42,140,211,117,6.0,24.5,95,150,Asymptomatic,True,1.0,False,Never,5.5,118,6.2,74.7,False,3143,57.3,1
+3026,76,Female,137,91,154,33,90,212,120,5.7,24.8,88,144,Atypical Angina,True,0.5,True,Never,19.7,47,5.4,71.4,False,4803,80.9,1
+3027,47,Female,121,73,193,69,110,113,99,5.5,20.5,77,177,Non-Anginal Pain,False,0.6,True,Never,3.0,204,6.3,43.4,True,7932,80.4,0
+3028,67,Female,146,82,217,51,134,159,150,7.1,28.2,83,134,Non-Anginal Pain,False,2.5,False,Never,3.3,44,5.2,44.8,True,9091,71.3,1
+3029,52,Female,133,86,194,44,87,250,122,5.9,28.4,76,143,Typical Angina,False,1.5,False,Never,2.6,118,4.6,72.5,False,3082,59.1,1
+3030,44,Male,123,88,177,43,109,198,125,5.6,23.2,73,158,Atypical Angina,True,0.2,True,Current,9.7,113,6.2,53.3,True,7706,53.8,1
+3031,49,Male,128,83,150,59,55,221,139,6.3,34.7,90,173,Asymptomatic,False,0.2,False,Never,2.1,187,6.9,56.0,False,3916,41.3,0
+3032,69,Male,123,75,203,43,145,75,93,5.2,24.1,83,162,Asymptomatic,False,0.9,False,Current,6.0,94,7.8,59.6,False,3537,47.9,0
+3033,60,Male,136,77,195,43,129,138,153,6.3,31.6,84,147,Atypical Angina,False,0.8,False,Former,4.3,138,6.3,74.3,True,6617,38.2,1
+3034,53,Male,157,90,238,64,150,182,107,5.6,29.3,89,194,Asymptomatic,False,0.5,False,Never,14.2,103,6.9,57.5,False,6639,44.0,0
+3035,52,Female,154,89,172,72,84,154,82,4.6,26.0,87,151,Non-Anginal Pain,False,0.5,False,Never,2.3,59,8.5,73.6,True,5727,57.6,1
+3036,46,Female,102,61,165,55,84,119,92,4.5,19.4,79,202,Asymptomatic,False,0.1,True,Never,1.3,299,7.6,42.1,True,11373,56.6,0
+3037,63,Male,121,64,206,67,115,87,107,5.0,23.3,73,191,Asymptomatic,False,0.2,True,Never,2.7,222,8.3,38.0,True,5505,63.5,0
+3038,83,Male,127,69,221,43,158,122,126,5.7,22.2,90,103,Asymptomatic,False,6.5,False,Current,2.1,151,7.4,48.7,False,4562,67.4,1
+3039,52,Male,130,78,171,61,81,140,129,6.3,20.7,87,172,Atypical Angina,False,1.0,True,Never,4.3,78,6.7,54.4,False,4671,59.6,0
+3040,40,Male,149,98,252,48,150,215,142,6.0,28.7,80,198,Asymptomatic,False,0.7,False,Current,2.2,133,5.9,57.6,True,11092,44.5,0
+3041,59,Male,145,98,258,67,142,150,122,5.4,25.7,81,151,Non-Anginal Pain,True,1.1,False,Never,4.5,30,5.0,48.1,False,3721,57.2,1
+3042,61,Male,136,101,183,38,110,159,95,5.0,21.7,88,134,Non-Anginal Pain,False,0.4,False,Former,2.1,86,6.2,46.2,False,6408,38.3,1
+3043,68,Male,143,96,189,36,116,177,105,5.4,28.1,69,162,Asymptomatic,False,0.4,False,Never,3.1,139,5.1,60.4,True,4358,57.8,0
+3044,38,Female,135,76,207,75,99,127,96,4.9,24.1,82,209,Asymptomatic,False,0.5,False,Current,1.0,127,8.9,12.5,False,4027,57.6,0
+3045,58,Male,113,78,194,51,104,138,116,5.2,26.8,92,173,Asymptomatic,False,0.3,False,Never,9.2,199,7.9,38.9,True,9236,71.4,0
+3046,43,Male,117,69,118,37,37,163,145,6.7,31.4,81,154,Non-Anginal Pain,False,0.4,False,Former,6.7,147,7.8,40.1,True,9055,57.1,0
+3047,72,Male,156,105,183,40,102,163,91,5.2,35.0,96,137,Asymptomatic,False,0.8,False,Current,3.3,80,7.6,36.8,False,1519,71.2,1
+3048,64,Male,130,93,161,43,105,80,85,4.7,24.0,78,139,Atypical Angina,True,1.7,True,Never,3.2,117,8.8,47.7,True,3835,50.9,1
+3049,52,Male,141,94,191,65,98,199,139,6.4,26.3,91,170,Atypical Angina,False,0.9,False,Never,5.3,121,7.9,66.7,False,6548,62.4,0
+3050,38,Female,115,77,180,62,81,150,119,5.4,18.4,86,184,Asymptomatic,False,0.2,False,Former,10.2,148,6.5,39.0,False,6571,83.3,0
+3051,79,Female,144,92,202,70,107,129,116,6.0,26.9,88,144,Asymptomatic,False,1.6,True,Former,5.3,153,6.1,66.2,True,6068,69.5,1
+3052,52,Female,135,84,183,59,126,35,114,6.0,26.0,91,163,Atypical Angina,False,0.4,False,Never,8.5,97,6.1,55.1,False,7434,65.8,0
+3053,66,Female,138,87,245,49,150,258,132,6.5,28.7,73,137,Asymptomatic,True,1.2,True,Never,2.8,119,9.1,62.4,False,6569,47.8,1
+3054,29,Female,134,81,163,46,68,262,153,7.0,35.6,91,182,Asymptomatic,False,0.8,False,Former,8.9,121,7.0,62.2,True,6714,50.8,1
+3055,56,Female,124,79,150,53,70,156,123,6.1,26.5,81,172,Asymptomatic,False,0.2,False,Never,2.5,202,7.2,36.6,True,8403,80.3,0
+3056,64,Female,124,71,206,44,145,98,111,5.7,27.5,98,153,Asymptomatic,False,0.3,False,Never,7.9,1,6.4,28.5,False,4278,37.2,0
+3057,25,Male,97,63,145,53,74,104,113,5.9,18.2,69,173,Asymptomatic,False,0.3,False,Former,2.5,201,5.5,39.3,False,5458,32.0,0
+3058,58,Female,155,105,123,59,45,115,139,6.1,27.0,94,189,Asymptomatic,False,0.8,True,Former,1.2,137,8.1,56.0,True,6273,65.2,0
+3059,71,Female,118,74,111,36,58,144,182,7.6,22.4,83,172,Non-Anginal Pain,False,0.1,False,Former,0.7,65,7.3,68.6,False,6410,81.4,0
+3060,35,Male,129,85,186,50,101,225,133,5.9,23.8,86,206,Asymptomatic,True,0.9,False,Never,10.1,222,7.4,38.7,True,9760,54.7,0
+3061,52,Male,143,90,246,51,163,163,111,5.5,22.1,72,151,Atypical Angina,False,0.7,False,Current,2.0,163,8.0,40.3,False,8069,47.5,1
+3062,49,Male,119,73,214,70,113,207,128,5.8,27.2,73,171,Asymptomatic,False,0.4,True,Never,6.4,186,7.2,47.6,False,6258,50.1,0
+3063,46,Female,114,76,126,40,66,174,125,5.2,21.7,87,168,Non-Anginal Pain,True,1.5,False,Never,1.2,95,5.9,44.7,False,4722,59.1,0
+3064,46,Male,127,91,214,57,112,198,101,5.5,24.4,83,178,Asymptomatic,False,1.0,True,Former,2.8,82,6.8,60.0,False,4456,76.9,0
+3065,42,Male,155,102,168,64,73,138,110,6.1,27.7,90,159,Typical Angina,False,4.8,False,Never,2.3,99,7.1,50.7,True,5810,57.5,1
+3066,44,Male,115,72,158,51,78,184,129,6.3,20.4,87,170,Asymptomatic,True,1.5,False,Current,4.3,149,6.4,55.7,True,6695,60.8,1
+3067,53,Male,140,81,262,76,147,210,168,7.2,27.9,89,175,Non-Anginal Pain,False,1.4,False,Never,11.1,134,6.7,65.3,False,2572,51.4,0
+3068,55,Female,110,67,143,67,72,38,163,6.7,26.0,83,160,Non-Anginal Pain,False,0.2,False,Former,0.1,96,6.5,19.9,True,6473,57.1,0
+3069,36,Male,153,96,184,56,118,63,112,5.6,28.9,83,170,Atypical Angina,True,2.4,False,Never,2.9,199,6.3,79.1,True,11744,72.1,1
+3070,46,Female,146,95,216,62,129,156,120,5.8,31.3,77,173,Asymptomatic,False,0.9,True,Never,2.5,139,5.1,37.9,False,7067,64.1,0
+3071,55,Female,121,75,168,64,92,123,117,5.4,21.5,80,174,Non-Anginal Pain,False,0.7,False,Never,4.1,215,7.0,24.9,True,8589,81.7,0
+3072,70,Male,118,74,218,51,123,184,74,4.6,28.4,82,171,Asymptomatic,False,0.6,False,Never,5.4,117,6.7,36.8,False,5858,80.9,0
+3073,70,Male,132,79,133,37,74,178,145,6.4,29.4,86,144,Non-Anginal Pain,False,0.4,True,Former,4.6,53,5.5,40.2,False,6747,64.5,0
+3074,54,Male,161,98,167,18,123,105,132,6.4,32.2,94,133,Asymptomatic,True,0.8,False,Current,3.6,61,5.7,72.9,False,7617,41.8,1
+3075,56,Female,120,75,119,53,43,138,132,6.1,26.1,86,173,Typical Angina,False,0.6,False,Never,2.5,159,8.4,54.8,False,5479,77.0,0
+3076,35,Female,127,69,191,70,72,281,108,5.3,20.9,86,191,Atypical Angina,False,0.0,False,Former,1.5,115,7.4,22.4,True,7636,75.5,0
+3077,55,Male,123,87,227,53,138,163,96,5.8,30.9,75,161,Non-Anginal Pain,False,2.4,False,Former,5.4,149,4.7,38.2,True,8087,50.1,1
+3078,29,Male,113,74,188,45,110,206,105,5.8,22.9,82,172,Asymptomatic,True,2.1,True,Current,5.5,125,7.5,58.7,False,4468,54.1,1
+3079,49,Male,129,81,193,59,83,224,124,6.1,28.0,94,193,Asymptomatic,False,2.3,True,Never,23.1,80,7.7,51.0,False,4473,69.2,0
+3080,37,Male,122,74,157,62,79,93,60,4.0,19.6,72,170,Atypical Angina,False,0.1,False,Former,2.8,158,6.0,38.7,True,7815,51.1,0
+3081,44,Male,130,86,214,65,124,148,120,6.2,17.7,87,175,Atypical Angina,False,0.1,False,Former,12.6,220,7.9,39.6,True,9325,61.2,0
+3082,56,Male,127,87,213,64,133,121,145,6.3,23.1,74,150,Typical Angina,True,1.6,True,Never,2.6,181,6.9,61.3,False,5686,53.4,1
+3083,57,Female,126,76,220,75,123,153,119,5.8,25.9,82,190,Non-Anginal Pain,False,0.2,False,Former,4.3,278,7.0,53.0,True,5428,56.6,0
+3084,70,Male,126,73,132,50,60,98,141,6.3,22.9,79,151,Non-Anginal Pain,False,0.4,True,Never,14.4,168,6.6,37.0,True,9265,62.9,1
+3085,57,Female,128,77,190,74,82,209,148,6.6,21.5,80,171,Non-Anginal Pain,True,0.9,False,Former,8.4,142,7.5,71.5,False,3632,44.2,0
+3086,47,Female,149,98,190,43,133,103,106,5.6,26.3,70,183,Asymptomatic,False,1.0,True,Never,6.3,172,7.0,58.9,True,7603,69.8,0
+3087,62,Male,131,83,238,47,162,139,95,5.1,27.5,83,179,Asymptomatic,False,0.9,False,Current,9.7,0,6.5,38.8,False,4808,51.8,0
+3088,32,Female,108,69,163,63,81,129,108,5.2,25.5,94,199,Atypical Angina,False,0.9,False,Never,0.1,141,6.6,63.1,True,6656,39.4,0
+3089,76,Female,153,89,251,61,144,185,142,6.4,32.5,89,123,Asymptomatic,False,0.2,True,Former,4.1,8,6.2,44.6,False,5174,43.9,1
+3090,26,Male,128,77,90,52,35,91,118,5.7,23.2,90,210,Atypical Angina,False,1.4,True,Former,2.4,291,7.8,27.6,True,8231,79.0,0
+3091,63,Female,150,92,202,47,118,189,90,4.9,28.1,77,164,Non-Anginal Pain,False,0.9,False,Former,1.8,78,7.5,46.1,False,6207,57.0,0
+3092,61,Male,145,91,275,40,199,143,130,5.9,34.3,81,157,Non-Anginal Pain,True,1.1,False,Never,2.1,88,5.6,47.2,False,7038,48.3,1
+3093,46,Female,127,76,202,54,131,69,118,5.7,33.3,84,183,Asymptomatic,False,0.6,False,Former,2.0,178,7.9,53.9,False,5119,57.1,0
+3094,48,Male,135,94,208,50,119,205,112,6.5,31.7,85,179,Typical Angina,True,2.3,False,Never,3.8,85,5.4,38.3,False,8726,58.2,1
+3095,34,Female,127,82,205,70,91,157,94,5.5,16.6,70,210,Typical Angina,True,1.5,True,Former,6.4,183,6.4,44.8,False,4613,64.9,0
+3096,55,Male,136,75,114,46,52,104,126,6.2,23.3,85,178,Typical Angina,False,4.3,False,Former,2.2,99,7.2,48.7,False,3627,48.2,0
+3097,61,Female,100,70,143,37,79,166,125,6.0,24.6,90,187,Asymptomatic,False,0.4,False,Never,6.9,138,4.5,25.5,False,5360,50.3,0
+3098,47,Male,108,68,208,64,108,209,134,6.4,19.7,87,165,Non-Anginal Pain,False,0.4,False,Never,9.2,182,7.3,39.0,True,7748,84.5,0
+3099,59,Female,129,81,246,62,126,173,117,5.9,28.8,85,138,Asymptomatic,False,0.9,True,Current,2.9,187,4.1,34.5,True,8055,39.6,1
+3100,63,Male,142,88,240,61,110,314,118,5.9,34.0,90,183,Asymptomatic,False,0.6,False,Former,26.5,112,7.3,49.6,False,4443,72.2,0
+3101,44,Female,137,95,201,58,120,116,115,5.8,24.6,86,168,Asymptomatic,False,4.3,True,Former,2.7,94,4.7,77.0,False,3997,65.7,1
+3102,65,Male,160,100,230,30,147,292,109,5.4,26.2,76,139,Atypical Angina,False,3.7,True,Current,10.9,96,6.9,26.8,False,5815,31.5,1
+3103,60,Male,145,89,183,35,100,209,102,5.5,27.1,97,134,Non-Anginal Pain,False,0.6,False,Never,7.6,0,6.7,65.2,False,2806,54.7,0
+3104,55,Female,124,71,206,90,94,160,84,5.1,22.8,68,178,Asymptomatic,False,1.4,False,Never,6.4,193,5.1,51.0,True,7265,62.0,0
+3105,64,Female,130,65,164,69,58,139,122,5.6,22.1,79,153,Atypical Angina,True,0.1,False,Never,0.7,158,7.9,16.4,True,7997,65.2,0
+3106,58,Male,136,92,188,53,85,193,127,6.2,26.3,85,193,Non-Anginal Pain,True,1.6,False,Never,7.8,138,7.9,53.1,True,7239,61.8,0
+3107,44,Male,132,81,187,53,107,138,140,6.2,28.1,76,168,Atypical Angina,False,2.9,True,Former,8.2,173,7.0,60.2,False,5523,61.5,1
+3108,45,Male,112,74,174,56,103,115,117,5.3,20.0,75,193,Asymptomatic,False,0.6,True,Never,7.4,230,6.9,38.7,True,7528,73.5,0
+3109,57,Male,143,85,194,62,114,130,123,6.2,21.1,79,175,Non-Anginal Pain,False,0.3,False,Current,4.6,172,8.2,59.7,False,6209,64.7,0
+3110,68,Male,125,86,196,58,115,77,108,5.8,24.2,95,180,Asymptomatic,False,1.5,False,Never,11.7,170,6.5,55.1,False,3210,78.1,0
+3111,56,Female,119,68,212,63,130,150,129,6.4,16.6,56,161,Asymptomatic,False,1.4,False,Former,3.6,127,5.3,51.4,False,5324,67.7,0
+3112,49,Female,116,61,201,55,101,245,129,6.2,28.5,73,182,Non-Anginal Pain,False,0.4,True,Current,2.2,173,6.6,55.6,False,8814,60.2,0
+3113,54,Female,129,88,201,41,115,236,109,4.8,27.2,79,163,Asymptomatic,False,0.8,False,Current,7.6,158,5.0,52.7,True,8113,22.7,0
+3114,39,Male,111,79,191,60,110,106,106,5.2,22.0,79,179,Asymptomatic,False,0.3,False,Former,6.9,200,6.6,55.2,True,11259,81.0,0
+3115,69,Male,147,92,181,63,104,96,129,5.7,25.2,74,152,Atypical Angina,True,1.3,False,Current,3.5,190,9.9,34.5,False,2433,32.5,0
+3116,72,Male,131,77,210,32,123,224,116,5.5,25.8,92,131,Asymptomatic,True,1.1,False,Current,4.0,67,8.8,18.8,False,5529,47.9,1
+3117,75,Male,137,99,209,65,124,70,136,6.2,17.0,71,159,Non-Anginal Pain,False,0.4,False,Former,3.1,139,8.5,17.8,False,3311,50.0,0
+3118,65,Female,126,86,205,58,113,145,146,6.8,25.9,81,132,Asymptomatic,True,3.5,False,Former,1.8,129,6.7,37.2,True,8124,57.2,1
+3119,45,Female,121,81,175,74,89,91,122,5.9,27.8,71,173,Asymptomatic,False,0.4,False,Never,1.2,307,8.7,27.0,True,7504,62.0,0
+3120,52,Male,124,73,110,30,43,259,116,5.6,23.0,72,176,Asymptomatic,True,0.7,False,Never,18.2,84,7.4,42.8,False,6625,55.1,0
+3121,49,Female,118,76,191,78,97,77,150,6.9,27.7,82,179,Non-Anginal Pain,False,0.1,False,Current,3.3,87,8.2,68.6,False,4434,64.8,0
+3122,59,Female,121,84,156,65,56,162,118,6.0,26.7,82,157,Asymptomatic,False,1.2,True,Former,1.0,181,7.1,51.0,True,6163,57.9,0
+3123,71,Female,146,94,193,45,106,161,138,7.0,31.6,86,149,Atypical Angina,False,6.5,False,Never,5.3,0,6.9,56.2,False,4547,45.8,1
+3124,22,Male,114,79,161,34,100,187,118,6.1,28.9,72,199,Non-Anginal Pain,False,0.5,False,Never,5.9,182,7.4,66.1,False,6933,54.6,0
+3125,59,Male,120,79,183,65,80,171,125,6.3,24.9,67,158,Atypical Angina,False,0.0,False,Never,2.6,53,7.0,40.3,False,3920,41.6,0
+3126,57,Female,113,68,194,62,137,60,140,6.1,23.9,75,166,Atypical Angina,False,0.3,False,Never,2.0,201,7.0,25.7,True,7738,45.8,0
+3127,57,Male,111,74,166,52,98,127,87,4.7,23.9,86,182,Asymptomatic,False,0.1,True,Never,4.8,191,7.7,52.9,True,4918,59.6,0
+3128,62,Female,136,83,170,56,91,141,126,5.8,23.8,82,153,Non-Anginal Pain,False,0.2,False,Never,3.4,83,6.9,52.8,False,6831,38.8,0
+3129,42,Female,115,65,195,66,99,122,136,5.9,28.2,90,182,Asymptomatic,False,0.7,False,Never,0.9,97,5.7,80.8,False,3406,68.4,0
+3130,66,Male,139,75,203,62,117,98,89,5.1,24.1,86,157,Asymptomatic,True,4.2,True,Never,2.2,144,6.5,66.5,False,3749,67.9,1
+3131,58,Male,147,84,189,49,95,164,101,5.8,32.9,96,188,Asymptomatic,False,1.4,False,Never,6.7,180,7.3,44.1,True,7151,62.2,0
+3132,51,Male,129,91,242,46,153,218,118,5.7,30.5,88,155,Typical Angina,True,1.8,False,Never,6.6,196,7.1,42.5,True,6210,90.5,1
+3133,54,Male,121,76,185,67,88,147,107,5.3,26.6,65,165,Asymptomatic,False,0.5,False,Former,11.0,130,7.7,16.9,True,7266,52.7,0
+3134,48,Female,136,91,181,49,122,102,141,6.8,32.2,75,172,Asymptomatic,False,0.3,False,Never,8.1,66,3.8,8.1,False,9494,62.4,0
+3135,55,Female,148,88,162,50,67,196,117,5.4,21.2,87,163,Non-Anginal Pain,False,1.9,True,Never,6.1,77,9.0,40.1,False,6481,74.2,0
+3136,61,Male,134,86,194,42,129,165,160,6.4,34.0,75,152,Non-Anginal Pain,False,0.4,False,Former,8.5,166,4.6,49.0,False,5019,58.8,1
+3137,37,Male,124,80,197,34,117,229,110,5.4,37.6,78,173,Atypical Angina,False,0.7,False,Former,12.7,196,7.0,58.4,True,10019,81.9,0
+3138,49,Female,126,92,129,38,50,139,99,5.0,25.8,66,176,Atypical Angina,True,0.7,False,Never,5.7,168,7.3,79.0,False,6957,51.4,0
+3139,48,Female,147,89,183,49,119,105,106,5.4,32.1,81,175,Asymptomatic,False,1.0,False,Never,0.5,159,8.8,61.6,False,3864,47.1,0
+3140,53,Female,145,94,209,54,135,130,124,5.9,22.4,78,185,Non-Anginal Pain,False,0.3,False,Never,5.3,142,6.9,45.5,True,4939,34.8,0
+3141,50,Female,111,78,158,47,87,145,142,6.3,28.5,86,174,Asymptomatic,True,0.8,False,Never,4.4,181,5.9,55.9,True,8513,57.1,0
+3142,31,Male,115,66,171,51,86,202,97,5.6,16.3,74,188,Atypical Angina,False,1.0,False,Former,5.4,148,6.0,63.4,False,5100,51.3,0
+3143,60,Female,128,82,213,62,115,181,105,6.1,20.2,79,148,Atypical Angina,False,1.2,False,Former,3.6,147,7.2,62.3,False,4555,60.4,0
+3144,69,Male,133,81,168,30,117,122,107,5.3,25.5,88,129,Atypical Angina,True,2.5,True,Never,3.9,113,7.1,100.0,True,10646,67.1,1
+3145,45,Female,120,72,219,66,119,134,134,6.1,30.3,85,178,Asymptomatic,True,1.9,True,Never,26.0,192,6.1,29.6,False,2800,49.7,0
+3146,56,Female,155,89,188,58,100,156,82,4.7,28.5,82,165,Atypical Angina,False,1.4,True,Never,2.8,118,5.5,39.1,False,5503,64.3,0
+3147,45,Female,120,80,208,68,115,108,136,5.9,18.7,74,172,Asymptomatic,False,0.1,True,Never,2.1,204,5.9,40.5,False,5285,64.4,0
+3148,56,Male,147,93,292,76,180,148,60,4.0,34.7,82,168,Asymptomatic,False,2.0,False,Never,3.5,199,7.2,64.1,True,7842,57.6,0
+3149,51,Male,123,96,161,57,57,197,88,4.5,17.6,86,179,Asymptomatic,False,0.2,False,Never,7.5,130,5.9,83.1,False,6202,57.2,0
+3150,68,Female,150,89,237,44,142,229,136,6.2,32.3,83,117,Asymptomatic,True,0.1,False,Former,0.2,149,6.4,51.2,False,5673,38.6,1
+3151,46,Female,127,95,160,60,65,191,85,5.0,20.1,69,170,Typical Angina,False,1.2,True,Current,10.8,353,8.8,37.7,True,6656,54.1,0
+3152,62,Female,118,74,166,75,61,148,90,5.0,18.3,80,157,Non-Anginal Pain,False,0.4,False,Former,2.0,268,10.3,29.9,True,5097,72.6,0
+3153,44,Female,148,92,145,55,69,159,138,5.2,20.9,85,186,Asymptomatic,False,0.2,True,Former,3.2,172,8.8,71.7,False,6559,66.5,1
+3154,47,Female,132,79,176,60,85,138,75,4.0,21.5,74,196,Atypical Angina,False,0.8,False,Never,14.1,151,9.7,32.5,True,9141,57.2,0
+3155,55,Male,154,99,204,41,124,189,102,5.4,31.8,79,157,Typical Angina,True,1.9,False,Never,1.7,112,6.2,48.7,False,3197,62.9,1
+3156,33,Male,124,75,116,48,35,105,135,5.9,17.9,81,194,Non-Anginal Pain,False,0.5,False,Former,5.7,179,6.9,44.7,True,5340,70.9,0
+3157,42,Female,138,84,255,51,165,152,87,4.8,33.3,83,171,Non-Anginal Pain,False,0.7,False,Never,0.1,151,5.7,46.5,False,3962,60.4,0
+3158,64,Female,123,89,179,55,80,190,109,5.9,27.5,87,137,Typical Angina,True,0.1,True,Never,0.3,21,6.4,84.5,False,5081,72.9,1
+3159,45,Female,125,81,263,58,159,204,114,5.8,27.5,70,168,Non-Anginal Pain,False,0.4,False,Never,6.9,181,7.5,44.7,True,6345,57.8,0
+3160,36,Male,112,64,175,51,117,47,129,5.6,21.5,83,178,Non-Anginal Pain,True,0.2,False,Current,6.9,210,7.2,57.1,True,6222,55.2,1
+3161,35,Female,112,61,158,58,58,179,99,5.6,18.5,80,183,Non-Anginal Pain,False,1.9,False,Never,0.8,168,9.0,12.5,True,7786,42.2,0
+3162,55,Male,140,83,177,62,82,133,129,5.7,23.6,83,164,Non-Anginal Pain,False,0.4,False,Former,7.5,187,7.5,58.2,False,7569,59.6,0
+3163,46,Female,104,70,130,35,65,145,119,5.7,18.1,78,185,Atypical Angina,True,2.8,False,Never,1.4,120,8.7,66.7,True,7561,49.3,0
+3164,54,Female,112,80,229,57,155,118,130,5.9,21.8,90,137,Typical Angina,True,1.0,False,Never,6.2,18,6.2,38.5,False,6632,65.4,1
+3165,18,Male,111,79,175,68,86,131,107,5.6,28.5,78,198,Atypical Angina,False,1.1,False,Never,14.7,220,6.3,47.1,True,12423,68.1,0
+3166,43,Male,115,74,141,36,94,103,125,5.9,20.7,86,149,Typical Angina,False,1.2,False,Current,7.0,89,5.6,38.6,False,6977,40.8,1
+3167,43,Female,124,88,139,56,71,115,112,5.6,22.0,80,198,Typical Angina,False,0.6,False,Current,0.8,262,7.3,40.7,False,6921,43.2,0
+3168,63,Female,129,92,156,44,75,173,140,6.7,34.4,85,142,Atypical Angina,True,1.8,True,Former,4.0,121,7.4,60.7,False,8977,69.5,1
+3169,65,Female,144,103,215,60,123,111,110,5.9,23.7,73,142,Typical Angina,True,0.6,False,Former,3.6,82,5.9,47.7,False,5279,42.1,1
+3170,62,Female,128,86,210,62,123,184,130,5.9,28.7,82,174,Asymptomatic,False,0.1,True,Never,7.7,188,6.7,41.3,False,8268,50.5,0
+3171,27,Female,108,59,191,76,97,92,121,5.7,25.1,80,210,Atypical Angina,False,0.9,True,Never,0.8,182,8.2,48.4,True,8027,70.1,0
+3172,64,Male,136,81,193,46,130,101,94,4.9,24.4,92,157,Atypical Angina,False,0.5,False,Former,2.8,120,6.4,49.6,False,6085,56.4,1
+3173,69,Male,128,81,179,47,124,112,114,6.0,20.4,79,167,Asymptomatic,False,0.0,False,Current,2.1,97,9.1,59.3,True,4983,45.7,1
+3174,43,Male,117,73,197,53,117,186,145,6.5,25.6,79,153,Non-Anginal Pain,False,1.2,True,Never,4.9,66,5.7,55.6,False,5742,76.6,1
+3175,57,Male,121,87,233,68,121,186,92,5.0,28.2,93,177,Non-Anginal Pain,False,0.5,True,Never,11.4,113,7.6,44.0,False,7377,61.5,0
+3176,59,Male,119,74,176,57,102,111,124,6.2,21.0,82,142,Non-Anginal Pain,False,2.6,True,Never,1.9,141,6.6,50.7,False,4147,52.6,1
+3177,48,Female,112,66,203,70,111,148,105,5.1,21.9,81,176,Asymptomatic,False,0.6,False,Former,7.3,137,6.7,70.7,False,7556,49.2,0
+3178,55,Female,130,83,237,63,124,165,131,5.7,18.5,77,170,Atypical Angina,False,0.0,True,Former,3.6,122,8.9,48.9,False,7283,50.8,1
+3179,43,Male,128,70,195,69,83,152,118,5.5,22.5,75,180,Asymptomatic,True,0.6,False,Never,6.3,205,8.3,93.6,True,9359,98.1,0
+3180,55,Male,151,96,103,35,49,133,112,5.6,26.1,89,165,Asymptomatic,False,0.5,True,Former,4.5,110,7.8,39.0,False,2911,83.7,0
+3181,52,Male,137,87,198,52,114,208,130,6.5,28.2,76,145,Non-Anginal Pain,True,2.2,True,Former,8.3,180,6.8,24.3,True,4525,43.6,1
+3182,57,Male,130,79,221,53,122,214,116,5.0,33.1,62,174,Asymptomatic,False,0.8,False,Never,6.6,99,7.2,31.5,False,5798,56.1,0
+3183,78,Female,134,83,159,60,55,264,96,5.3,15.4,86,150,Typical Angina,True,1.0,True,Never,10.5,202,9.9,62.2,True,7411,67.5,1
+3184,40,Male,109,73,163,55,81,134,112,5.7,21.0,69,190,Asymptomatic,False,1.4,True,Never,7.1,245,6.4,48.9,True,8252,76.8,0
+3185,69,Female,128,83,245,56,141,244,104,5.7,25.7,88,139,Non-Anginal Pain,True,0.8,True,Current,3.9,132,9.1,60.3,True,7697,28.5,1
+3186,55,Female,127,81,140,61,59,110,85,5.0,22.3,66,177,Typical Angina,False,1.1,False,Never,2.2,129,7.3,68.3,False,3442,78.0,0
+3187,54,Female,148,103,184,38,118,210,103,5.7,26.3,87,177,Asymptomatic,False,0.9,False,Former,0.6,101,8.7,57.5,True,6668,52.0,0
+3188,26,Male,127,76,208,51,113,194,141,6.3,27.8,86,210,Atypical Angina,False,1.8,False,Never,1.6,113,6.7,62.4,False,7362,42.2,0
+3189,66,Male,137,87,201,33,136,188,125,6.1,28.5,77,120,Asymptomatic,True,0.4,True,Current,9.4,83,7.3,63.0,False,1992,57.2,1
+3190,38,Female,106,73,138,82,41,99,106,5.2,19.4,75,188,Asymptomatic,True,0.2,True,Never,4.0,175,5.8,57.0,False,7639,54.2,0
+3191,41,Female,102,70,237,64,131,193,123,5.3,25.6,97,169,Asymptomatic,False,1.6,False,Former,6.0,75,5.8,61.1,False,2303,51.8,1
+3192,50,Female,140,88,210,57,111,135,136,5.6,27.8,81,175,Typical Angina,False,0.6,False,Never,1.9,286,6.2,53.2,False,9010,93.8,0
+3193,49,Male,127,74,242,63,108,209,120,5.4,30.8,96,145,Atypical Angina,True,0.5,False,Former,4.5,163,8.1,41.3,True,4288,22.7,1
+3194,42,Female,103,66,146,44,78,122,110,5.9,26.3,70,181,Non-Anginal Pain,False,3.9,False,Never,7.3,145,7.6,32.6,True,8815,76.9,0
+3195,72,Female,141,103,199,39,135,118,97,5.0,30.1,75,137,Asymptomatic,False,1.1,False,Current,3.6,99,7.5,40.9,False,3989,47.7,0
+3196,62,Male,141,91,204,70,91,234,114,5.9,23.2,68,157,Asymptomatic,True,0.2,False,Never,1.5,105,6.7,43.2,False,4826,66.3,1
+3197,85,Male,130,87,198,68,96,140,100,5.8,20.9,85,112,Typical Angina,True,0.7,False,Never,2.3,61,7.0,43.3,False,3399,70.1,1
+3198,44,Male,117,83,236,65,108,268,117,5.5,27.8,77,167,Non-Anginal Pain,True,0.1,False,Current,11.0,100,8.0,24.9,False,6862,63.6,0
+3199,43,Female,133,88,179,53,75,273,162,7.1,23.7,96,183,Typical Angina,False,0.4,True,Never,2.5,151,7.9,41.4,True,4949,65.8,0
+3200,79,Female,124,74,173,63,103,63,136,6.5,19.4,81,144,Non-Anginal Pain,False,1.0,False,Never,4.4,165,7.3,25.5,False,4295,72.8,0
+3201,37,Female,121,67,167,77,64,120,122,5.8,22.8,88,203,Atypical Angina,False,0.4,False,Former,3.0,181,8.6,51.8,False,8326,61.6,0
+3202,57,Male,139,87,193,66,82,229,136,5.9,27.3,81,169,Non-Anginal Pain,False,2.5,False,Current,10.3,211,8.6,43.0,True,6899,55.5,0
+3203,50,Female,116,79,168,59,96,66,138,6.1,26.9,73,172,Asymptomatic,False,0.9,False,Current,2.0,106,6.0,37.4,True,6014,58.3,0
+3204,50,Female,115,72,178,52,95,183,90,4.5,21.0,61,170,Asymptomatic,False,1.9,True,Never,12.9,232,5.1,36.9,True,10197,75.8,0
+3205,35,Female,117,88,145,36,99,61,148,7.3,26.1,84,178,Atypical Angina,False,0.2,True,Never,1.9,102,5.7,51.8,False,3877,60.1,0
+3206,45,Male,115,75,203,54,108,171,159,6.5,20.3,108,181,Atypical Angina,False,0.7,False,Former,11.6,34,7.7,74.7,False,5360,48.6,0
+3207,79,Male,129,75,183,58,115,126,81,5.0,21.8,80,148,Typical Angina,False,1.1,False,Never,4.8,135,7.3,47.6,True,2905,74.4,0
+3208,56,Female,130,90,219,71,122,156,95,5.2,20.8,88,174,Asymptomatic,False,1.3,True,Former,2.0,239,7.0,68.8,True,11396,61.3,0
+3209,74,Male,121,69,245,73,122,209,122,6.1,22.3,83,139,Asymptomatic,True,3.1,False,Never,1.8,153,8.1,34.1,True,8041,57.9,1
+3210,46,Female,128,82,155,30,99,158,128,5.9,28.6,88,196,Non-Anginal Pain,False,0.9,False,Never,0.6,140,7.0,56.9,True,9061,43.6,0
+3211,56,Male,147,97,171,46,89,213,117,6.0,26.6,77,137,Non-Anginal Pain,False,0.8,False,Never,4.4,154,7.6,35.3,False,5048,58.3,1
+3212,62,Male,147,91,194,45,129,128,91,5.4,31.7,91,128,Asymptomatic,False,1.0,True,Former,2.1,172,6.1,58.1,True,5428,61.3,1
+3213,62,Male,134,79,176,40,111,154,106,5.4,25.7,89,148,Asymptomatic,False,0.6,True,Current,2.8,137,9.2,37.7,False,7258,57.6,1
+3214,52,Male,119,80,207,40,123,189,78,4.9,35.4,86,169,Asymptomatic,False,0.2,False,Current,5.3,186,7.6,69.2,False,4742,56.5,0
+3215,55,Female,134,95,194,37,133,179,124,6.0,30.1,90,150,Non-Anginal Pain,True,0.7,False,Current,4.4,66,6.3,29.8,False,2241,64.8,1
+3216,68,Female,152,101,108,50,52,102,144,5.9,25.9,76,182,Non-Anginal Pain,False,0.3,False,Former,0.7,93,7.7,70.2,False,3540,53.0,0
+3217,58,Female,133,71,231,89,101,154,138,6.4,29.2,85,166,Asymptomatic,False,1.0,False,Current,3.0,218,7.4,35.1,False,6464,64.4,1
+3218,31,Male,121,88,149,41,91,102,97,5.7,20.9,70,172,Atypical Angina,False,0.2,False,Current,6.1,240,8.5,49.4,True,7138,36.1,1
+3219,46,Male,108,67,209,61,99,225,136,6.0,26.6,90,169,Typical Angina,False,0.8,True,Former,3.3,133,8.7,36.8,False,6198,57.3,0
+3220,40,Female,108,68,208,59,107,169,128,6.5,24.5,78,182,Non-Anginal Pain,False,0.6,False,Never,8.9,92,7.6,52.4,True,7686,68.2,0
+3221,32,Male,132,88,128,49,72,115,123,5.8,24.1,86,162,Typical Angina,True,2.1,False,Never,9.8,200,9.5,41.1,False,8432,54.7,1
+3222,65,Male,122,74,221,55,151,90,125,5.5,20.2,68,154,Non-Anginal Pain,False,0.9,False,Never,6.5,135,6.3,31.0,False,5883,47.1,0
+3223,68,Female,161,109,254,55,166,137,132,6.3,28.4,85,137,Non-Anginal Pain,False,1.4,False,Former,1.4,3,6.4,68.8,False,1719,49.0,0
+3224,44,Female,111,72,195,74,104,86,146,6.5,25.1,93,157,Asymptomatic,False,1.7,False,Never,0.4,186,7.2,31.4,False,4490,68.3,0
+3225,50,Male,128,85,206,41,136,156,132,6.3,29.1,90,194,Atypical Angina,False,0.2,False,Never,2.7,57,6.8,53.1,False,7130,27.9,0
+3226,80,Female,134,92,251,73,159,139,163,6.2,27.9,80,127,Atypical Angina,True,2.7,False,Former,5.5,116,6.2,45.5,True,6280,86.7,1
+3227,52,Female,120,69,217,53,140,143,98,5.7,25.8,87,162,Asymptomatic,False,1.2,True,Current,2.7,202,7.6,32.2,False,3915,56.1,0
+3228,53,Female,117,63,154,41,78,184,108,4.9,26.4,80,159,Atypical Angina,False,0.5,False,Former,2.5,154,7.8,49.2,True,4655,69.9,0
+3229,58,Male,138,93,189,69,96,150,112,5.8,20.6,88,158,Asymptomatic,False,0.1,False,Former,10.3,120,6.5,40.9,False,4148,71.7,0
+3230,71,Male,124,68,195,49,129,75,113,5.5,28.6,73,121,Non-Anginal Pain,False,0.5,False,Former,5.6,161,7.7,31.5,True,7265,40.1,1
+3231,61,Male,123,80,199,61,118,159,109,5.5,21.3,85,176,Atypical Angina,False,0.7,True,Never,2.7,219,8.3,19.6,True,6102,81.3,0
+3232,68,Male,140,94,171,43,112,105,115,6.3,24.3,84,133,Typical Angina,True,2.5,True,Current,5.4,175,9.5,43.9,True,8642,49.4,1
+3233,42,Female,135,79,171,41,95,165,121,5.7,22.8,94,186,Atypical Angina,False,0.6,True,Current,0.4,177,7.3,32.2,False,7077,66.8,0
+3234,65,Female,152,103,193,65,85,133,148,6.9,31.7,68,176,Asymptomatic,False,1.3,True,Never,11.3,269,6.5,30.8,True,11053,67.4,0
+3235,53,Male,142,83,245,30,179,172,117,5.4,28.9,82,151,Asymptomatic,True,1.2,False,Never,2.3,172,7.6,56.9,True,9675,52.7,1
+3236,44,Male,133,84,223,54,129,98,109,5.2,27.2,89,163,Atypical Angina,False,0.3,False,Current,11.3,202,5.8,41.5,False,5195,56.8,1
+3237,61,Female,115,68,156,27,97,172,97,5.2,33.5,96,187,Asymptomatic,False,0.4,False,Current,9.5,86,8.8,51.7,False,8288,74.1,0
+3238,87,Female,168,104,247,54,112,359,141,6.3,31.1,67,101,Atypical Angina,False,0.4,False,Never,28.2,78,8.0,58.8,False,2007,76.3,1
+3239,57,Male,114,59,231,73,117,120,108,5.3,20.4,89,154,Atypical Angina,False,0.3,False,Never,11.5,156,7.0,33.4,True,8223,61.6,0
+3240,68,Female,146,101,210,75,102,163,147,6.6,22.9,71,138,Asymptomatic,False,1.0,True,Never,0.6,61,7.4,56.2,True,6233,55.3,0
+3241,51,Female,131,81,230,71,118,186,122,5.9,26.6,75,170,Asymptomatic,False,0.3,False,Never,3.2,287,7.7,28.3,True,9393,80.9,0
+3242,34,Female,117,70,212,70,117,135,133,6.3,19.8,83,177,Asymptomatic,False,2.2,True,Former,3.1,126,5.9,59.8,False,9093,76.6,0
+3243,61,Male,139,84,212,54,114,205,139,6.2,29.1,86,147,Atypical Angina,True,1.7,True,Former,7.8,87,7.1,83.3,False,6932,42.0,1
+3244,41,Female,140,90,203,69,111,186,162,6.7,27.1,80,198,Typical Angina,False,0.1,True,Never,0.8,211,7.0,28.4,True,11436,42.8,0
+3245,51,Male,117,75,238,43,149,207,108,6.0,29.1,75,135,Atypical Angina,True,0.2,False,Former,2.0,172,9.2,31.8,False,8323,37.5,1
+3246,80,Male,130,75,188,53,88,164,160,6.6,20.0,89,106,Non-Anginal Pain,False,0.3,True,Current,6.9,87,8.2,59.7,False,4175,73.3,1
+3247,31,Female,121,87,120,48,55,79,76,4.5,25.9,85,202,Non-Anginal Pain,False,2.2,False,Former,2.2,173,9.4,45.9,True,7360,71.3,0
+3248,59,Male,131,94,187,48,114,144,121,5.3,15.0,64,157,Atypical Angina,False,2.7,False,Current,4.8,172,8.3,28.7,True,9054,36.8,0
+3249,61,Female,126,79,308,63,189,260,106,5.7,32.3,80,153,Asymptomatic,True,0.9,True,Former,17.7,165,7.1,39.4,False,2717,21.9,1
+3250,58,Female,144,82,153,52,80,109,126,5.6,28.6,84,173,Asymptomatic,False,1.7,False,Never,11.0,57,7.7,87.9,False,6271,57.0,0
+3251,47,Female,118,68,187,61,100,153,111,5.1,25.1,68,198,Atypical Angina,False,0.8,True,Never,14.6,98,7.6,40.2,False,6608,69.3,0
+3252,57,Male,123,77,170,39,107,154,118,5.4,15.4,74,168,Asymptomatic,False,0.2,True,Never,6.1,80,5.6,68.2,True,3538,71.5,0
+3253,42,Male,134,84,179,70,85,121,84,4.9,24.4,79,160,Asymptomatic,False,1.2,False,Never,8.9,220,6.7,21.3,True,6324,62.1,0
+3254,74,Female,111,79,144,28,88,116,106,5.3,26.1,86,138,Asymptomatic,False,0.3,False,Never,2.1,108,5.8,46.8,False,4485,54.4,0
+3255,56,Female,129,87,174,66,91,61,114,5.8,24.8,87,160,Atypical Angina,False,1.5,True,Never,7.7,114,5.0,67.8,False,2336,64.9,0
+3256,71,Male,126,80,214,47,106,244,144,6.7,28.8,90,129,Asymptomatic,False,1.8,False,Never,5.2,172,6.3,44.8,True,8353,66.2,1
+3257,51,Female,120,73,152,36,75,181,128,5.4,18.2,80,191,Non-Anginal Pain,False,0.3,False,Never,4.3,29,8.0,33.0,False,2967,34.4,0
+3258,66,Male,140,94,189,64,87,149,140,6.2,25.8,75,173,Non-Anginal Pain,False,0.7,True,Never,2.8,150,6.0,57.0,True,7442,67.2,0
+3259,63,Female,125,92,157,39,89,170,115,5.0,24.1,76,154,Non-Anginal Pain,False,0.2,True,Former,0.0,99,5.9,45.1,True,8043,52.3,0
+3260,39,Male,139,99,110,60,35,151,94,5.1,25.8,84,210,Non-Anginal Pain,False,0.4,True,Never,1.6,209,7.3,57.8,False,5513,62.6,0
+3261,75,Male,132,92,191,64,86,132,124,5.8,24.4,75,151,Asymptomatic,False,1.4,False,Never,2.1,261,5.0,44.5,False,5726,52.0,0
+3262,89,Male,139,85,183,52,118,82,140,6.6,24.3,79,147,Asymptomatic,True,0.5,False,Current,3.2,52,5.7,66.0,False,593,37.3,1
+3263,68,Male,132,92,184,48,106,146,173,7.3,20.3,81,131,Asymptomatic,True,0.6,False,Current,7.5,174,6.2,60.2,False,4083,77.6,1
+3264,37,Female,140,95,175,60,79,161,121,6.1,27.7,80,157,Non-Anginal Pain,True,1.6,False,Former,20.4,138,6.0,31.2,True,9077,50.8,1
+3265,43,Male,133,82,201,80,85,158,123,6.4,25.3,78,204,Asymptomatic,False,0.7,False,Never,11.6,269,8.6,54.2,True,6461,77.9,0
+3266,25,Male,132,97,163,51,87,101,125,5.5,32.8,80,198,Non-Anginal Pain,False,0.1,False,Former,4.3,238,5.6,25.3,False,5424,79.1,0
+3267,44,Female,115,66,100,58,35,78,128,5.8,23.3,90,179,Asymptomatic,False,0.1,False,Never,2.2,133,5.4,57.5,True,8662,69.8,0
+3268,77,Female,142,86,234,75,131,125,124,5.5,24.2,89,133,Non-Anginal Pain,False,0.4,False,Former,0.2,210,7.6,50.7,True,8259,52.7,1
+3269,68,Male,135,86,158,37,90,192,106,5.7,24.5,85,161,Non-Anginal Pain,False,1.0,False,Never,2.2,22,8.3,62.4,False,3988,66.8,0
+3270,42,Male,123,77,209,65,91,217,101,5.5,21.8,99,168,Atypical Angina,False,2.1,False,Never,6.6,135,8.9,6.8,True,6471,47.1,0
+3271,38,Female,130,86,225,75,108,204,116,5.7,24.9,90,172,Asymptomatic,False,0.7,True,Never,0.0,97,7.8,25.9,False,5457,46.8,0
+3272,46,Female,126,78,216,67,114,158,103,5.0,26.6,78,170,Asymptomatic,False,0.1,True,Never,1.8,250,6.8,51.7,True,8847,53.9,0
+3273,68,Male,119,60,194,56,103,203,157,7.1,25.2,74,123,Asymptomatic,False,0.1,False,Current,3.5,159,6.9,52.1,False,1526,46.2,1
+3274,61,Female,140,95,199,43,127,146,116,5.6,24.8,86,151,Non-Anginal Pain,False,1.4,False,Never,2.1,107,6.9,54.8,False,7409,67.3,0
+3275,74,Female,132,85,241,78,135,200,117,6.4,24.3,84,123,Atypical Angina,False,4.3,True,Former,6.8,79,6.4,34.5,True,9474,43.7,1
+3276,46,Male,139,81,238,51,155,155,130,5.8,28.8,78,207,Asymptomatic,True,0.2,True,Never,10.5,144,6.3,43.5,False,5959,71.3,0
+3277,56,Female,135,70,168,65,74,137,114,5.2,25.2,83,145,Atypical Angina,True,2.2,True,Former,2.9,125,6.8,52.1,True,8971,73.6,1
+3278,45,Male,113,67,177,47,118,47,159,7.1,26.2,75,182,Asymptomatic,False,1.0,False,Never,3.6,149,7.2,27.5,False,7977,46.9,0
+3279,52,Female,110,70,173,53,104,136,104,5.4,20.0,78,173,Asymptomatic,False,1.7,False,Never,3.6,114,8.3,64.6,False,6640,47.0,0
+3280,50,Male,118,78,205,56,120,178,114,5.4,28.2,87,188,Asymptomatic,False,2.2,False,Never,7.6,105,6.3,35.4,False,2603,66.5,0
+3281,50,Male,128,84,154,50,86,104,92,5.0,23.0,93,183,Asymptomatic,False,0.3,False,Never,3.3,105,9.2,56.2,False,5593,80.1,0
+3282,62,Female,132,91,191,80,90,88,129,5.5,15.0,73,150,Atypical Angina,False,2.8,False,Never,2.0,98,6.0,68.5,False,4291,64.4,0
+3283,48,Female,142,92,219,59,112,213,132,6.3,24.0,82,182,Asymptomatic,True,1.0,False,Former,8.1,27,7.5,51.0,False,4983,34.3,0
+3284,52,Male,129,87,258,57,146,175,119,5.8,28.2,84,159,Asymptomatic,False,1.0,True,Never,4.1,158,5.7,40.5,False,2676,71.0,0
+3285,43,Female,116,62,120,66,54,35,89,4.6,19.9,82,185,Typical Angina,False,0.3,True,Never,2.2,197,5.4,63.1,True,11536,68.9,0
+3286,70,Female,136,96,230,57,132,207,152,6.2,34.1,75,130,Atypical Angina,False,0.4,True,Never,3.2,208,8.3,30.4,False,5707,75.3,1
+3287,77,Female,157,97,212,45,122,233,133,5.9,25.5,78,130,Typical Angina,False,3.8,False,Current,14.0,116,6.7,66.4,True,6818,50.8,1
+3288,80,Male,150,98,231,47,159,158,154,7.2,25.7,78,139,Asymptomatic,True,0.6,False,Never,1.7,162,7.7,55.3,True,8867,45.0,0
+3289,65,Female,163,102,217,49,121,241,169,7.2,34.3,83,141,Asymptomatic,True,4.9,False,Never,13.0,87,8.2,29.1,False,3700,49.7,1
+3290,54,Female,119,71,182,69,84,138,107,4.9,21.8,86,167,Asymptomatic,False,0.8,True,Never,0.8,68,7.8,49.6,False,3842,53.5,0
+3291,42,Female,136,88,129,43,50,170,142,6.5,22.8,71,162,Typical Angina,True,1.9,False,Never,8.7,178,7.9,39.5,False,5466,71.6,1
+3292,41,Male,136,83,205,44,152,75,130,5.7,26.8,96,166,Atypical Angina,True,4.4,True,Current,2.6,126,7.5,67.5,True,4393,48.0,1
+3293,53,Female,112,64,159,66,77,91,127,5.5,16.9,82,172,Atypical Angina,False,0.7,False,Never,9.3,300,7.5,14.3,True,11229,66.8,0
+3294,38,Male,151,97,224,49,129,207,88,5.0,27.5,63,186,Non-Anginal Pain,False,1.5,False,Never,5.4,110,9.2,70.2,False,3665,48.5,0
+3295,64,Male,138,77,181,54,116,116,119,5.1,28.8,82,132,Atypical Angina,False,1.6,False,Never,2.8,82,8.5,64.1,False,3131,85.9,1
+3296,58,Female,128,84,177,46,115,182,148,6.4,29.3,96,169,Asymptomatic,False,0.9,True,Never,16.0,128,6.9,49.4,False,7039,56.8,0
+3297,37,Female,114,58,165,56,76,235,115,5.6,26.1,76,190,Atypical Angina,False,0.5,True,Never,7.9,184,6.7,19.1,True,5211,69.1,0
+3298,52,Male,139,87,149,59,70,76,102,5.6,21.8,70,187,Atypical Angina,False,1.6,True,Former,3.5,307,5.9,23.7,True,9948,68.3,0
+3299,66,Female,137,86,168,39,83,205,118,5.9,28.9,90,165,Non-Anginal Pain,False,0.9,False,Never,1.3,20,6.4,54.2,False,3423,52.9,1
+3300,70,Female,120,69,173,48,117,88,84,5.1,20.8,84,141,Atypical Angina,False,0.6,True,Never,5.3,125,6.8,54.8,False,4352,47.6,0
+3301,57,Female,125,81,194,58,105,142,116,5.3,20.3,93,170,Asymptomatic,False,0.2,True,Never,0.9,52,7.4,61.7,False,5218,71.0,0
+3302,63,Male,133,84,133,32,66,173,133,5.8,22.7,97,149,Asymptomatic,False,0.7,False,Never,3.3,29,5.3,31.6,False,5183,44.6,0
+3303,59,Female,143,83,209,67,117,142,107,5.3,22.4,67,141,Asymptomatic,True,1.9,False,Never,3.8,271,3.8,51.2,False,4939,62.2,1
+3304,49,Male,118,60,151,23,89,184,109,5.7,28.0,84,184,Asymptomatic,False,2.0,False,Never,4.5,137,9.8,31.4,False,7956,57.7,0
+3305,57,Male,112,69,192,69,84,174,107,5.1,28.9,66,176,Non-Anginal Pain,False,0.6,False,Former,3.2,191,5.0,11.8,False,4069,61.9,0
+3306,56,Female,119,85,151,43,80,148,170,6.5,19.9,66,163,Asymptomatic,True,1.4,True,Never,2.7,243,7.0,32.5,False,4811,66.6,0
+3307,47,Male,116,75,124,37,72,126,112,5.4,24.4,86,190,Non-Anginal Pain,False,0.3,False,Current,1.8,67,7.2,53.0,False,4962,61.7,0
+3308,58,Female,134,90,217,71,113,90,86,5.3,20.6,78,168,Asymptomatic,False,1.1,False,Never,0.5,102,6.6,57.0,False,6863,52.3,0
+3309,54,Male,120,70,178,68,77,154,114,5.1,29.6,58,167,Non-Anginal Pain,False,1.1,False,Never,10.4,242,5.7,48.0,True,8064,67.2,0
+3310,60,Male,143,87,174,57,92,111,123,5.3,22.8,91,148,Non-Anginal Pain,True,1.2,True,Former,9.5,69,5.8,71.3,False,5732,51.3,1
+3311,55,Female,126,86,183,54,101,127,131,6.2,27.7,79,163,Atypical Angina,False,0.8,False,Never,3.7,144,7.5,20.6,False,1501,42.4,0
+3312,55,Male,133,80,250,48,155,168,117,5.5,26.9,80,142,Typical Angina,False,0.6,False,Current,3.8,148,7.0,43.8,True,10554,50.4,1
+3313,31,Female,105,63,210,49,124,172,122,5.4,24.9,62,177,Atypical Angina,False,0.1,True,Current,7.2,29,5.8,42.3,True,7920,23.9,0
+3314,85,Male,129,88,254,69,146,178,123,6.2,33.2,74,127,Atypical Angina,False,1.4,False,Never,5.8,208,8.1,24.2,False,6288,27.3,1
+3315,64,Female,120,77,214,61,124,125,94,5.6,19.0,84,137,Non-Anginal Pain,True,1.8,True,Never,2.8,118,7.0,50.4,False,5095,85.3,1
+3316,60,Female,116,75,216,50,138,184,124,6.0,28.7,93,163,Non-Anginal Pain,False,0.2,False,Current,6.4,107,8.0,51.2,False,959,60.7,0
+3317,78,Female,119,76,198,64,95,205,96,5.3,27.1,94,148,Asymptomatic,False,2.0,False,Former,3.9,146,8.1,59.4,False,4087,63.6,0
+3318,68,Male,123,66,207,62,88,301,111,5.1,29.8,79,175,Asymptomatic,False,1.2,True,Never,14.7,183,7.4,44.6,True,8729,79.7,0
+3319,61,Male,147,88,199,40,106,210,136,5.5,29.2,98,183,Non-Anginal Pain,False,0.2,False,Former,3.8,161,6.9,38.9,True,8481,55.7,0
+3320,63,Male,125,78,179,59,92,179,111,5.5,26.7,73,150,Typical Angina,False,1.2,False,Never,16.6,236,7.4,51.2,True,7635,72.4,0
+3321,76,Female,125,82,201,62,120,84,143,6.6,33.9,85,159,Atypical Angina,False,0.7,False,Never,1.3,238,7.3,18.9,False,8920,51.4,0
+3322,58,Female,141,97,270,58,162,164,116,5.7,22.1,95,139,Non-Anginal Pain,False,2.8,True,Current,1.6,138,5.5,38.5,True,9649,64.8,1
+3323,37,Male,107,67,210,42,136,179,115,5.2,26.2,78,169,Typical Angina,False,1.5,True,Never,3.8,112,7.1,43.2,True,8957,61.9,0
+3324,35,Female,115,75,199,41,106,233,116,6.0,26.4,87,177,Typical Angina,True,1.7,False,Former,13.4,222,9.1,34.7,True,8587,54.1,1
+3325,73,Female,126,83,207,68,102,186,82,4.7,19.9,88,150,Non-Anginal Pain,False,0.0,False,Never,6.9,15,6.2,76.1,False,2830,59.6,0
+3326,52,Male,113,65,177,55,93,147,90,4.3,20.5,83,182,Asymptomatic,False,0.4,False,Former,1.6,182,7.6,58.1,True,10261,48.0,0
+3327,62,Female,144,93,183,75,84,112,132,6.1,23.5,75,178,Atypical Angina,True,1.9,False,Never,10.2,146,4.7,33.3,True,9708,81.9,0
+3328,54,Male,117,58,180,42,121,77,131,5.6,21.7,91,166,Non-Anginal Pain,False,0.6,False,Never,6.1,139,6.0,44.4,True,7819,68.1,0
+3329,61,Male,135,91,223,46,161,111,126,6.2,28.5,87,135,Non-Anginal Pain,False,0.3,True,Never,2.7,108,7.0,21.1,False,3982,78.0,1
+3330,44,Male,147,90,149,39,79,161,90,5.6,28.8,94,150,Typical Angina,True,0.1,False,Current,9.2,53,6.3,46.2,False,1442,81.1,1
+3331,61,Male,141,91,166,33,103,194,140,6.1,31.2,86,143,Asymptomatic,False,0.5,False,Former,9.3,0,4.9,65.9,False,5750,45.8,1
+3332,25,Male,110,69,194,54,106,123,75,4.1,26.1,80,210,Asymptomatic,False,0.7,False,Never,6.8,182,6.6,21.6,False,7127,78.0,0
+3333,51,Female,135,87,187,52,112,189,116,6.0,23.1,69,173,Typical Angina,False,1.8,True,Former,4.2,129,5.7,85.4,True,9040,31.4,0
+3334,37,Female,98,82,189,76,66,167,103,5.4,30.4,83,191,Typical Angina,False,2.4,False,Former,6.1,168,6.3,44.8,False,5071,53.9,0
+3335,55,Male,139,93,125,70,42,127,144,6.1,22.9,70,176,Asymptomatic,True,1.9,True,Former,10.3,244,6.9,0.0,True,3931,47.1,0
+3336,56,Male,126,97,223,55,132,216,120,5.3,32.8,72,160,Typical Angina,False,0.9,False,Never,12.0,215,6.2,17.0,False,7647,72.8,1
+3337,53,Male,98,65,178,63,82,137,143,6.1,27.0,79,187,Atypical Angina,False,1.0,False,Current,8.2,296,7.4,48.3,True,7579,63.6,0
+3338,57,Male,140,93,133,57,48,148,118,5.7,30.4,79,170,Atypical Angina,False,0.5,False,Former,4.4,157,8.5,36.3,True,7745,43.2,0
+3339,32,Male,111,74,192,68,114,35,104,5.7,21.0,73,181,Typical Angina,False,0.8,False,Never,10.1,171,6.7,30.9,True,7766,61.6,0
+3340,41,Male,122,82,129,40,52,155,129,5.5,27.9,85,184,Typical Angina,False,1.0,False,Never,10.5,173,7.9,41.9,True,8478,39.5,0
+3341,52,Female,138,83,156,48,75,170,186,7.6,29.6,92,144,Non-Anginal Pain,False,0.9,False,Never,10.8,32,7.9,63.9,False,6261,46.5,1
+3342,60,Male,134,92,179,69,102,35,60,4.4,25.0,78,167,Non-Anginal Pain,False,1.2,False,Never,8.7,91,5.7,52.5,False,6143,77.7,0
+3343,58,Female,136,92,190,58,101,123,92,4.7,24.9,82,172,Asymptomatic,False,1.3,False,Former,8.9,121,7.5,55.5,False,5789,26.9,0
+3344,32,Male,107,68,214,72,88,210,172,6.7,20.9,82,198,Asymptomatic,False,0.6,False,Former,5.0,217,6.0,41.8,True,9439,48.2,0
+3345,71,Male,128,77,161,23,89,222,120,6.2,28.0,82,138,Asymptomatic,True,4.6,False,Never,2.8,75,6.4,63.8,False,6211,65.8,1
+3346,53,Female,130,83,184,52,113,74,96,5.4,32.8,83,175,Atypical Angina,False,0.3,False,Never,0.5,75,7.1,63.9,True,9003,64.1,0
+3347,75,Male,121,73,156,53,75,138,129,6.0,17.8,73,155,Asymptomatic,False,0.1,False,Never,4.0,112,6.0,11.6,True,5427,66.4,0
+3348,63,Female,154,92,224,52,134,208,128,6.0,32.2,73,146,Non-Anginal Pain,False,2.9,True,Current,2.3,139,6.6,48.9,True,7682,33.1,1
+3349,69,Male,152,103,210,60,104,211,145,6.7,29.4,104,136,Asymptomatic,False,2.3,True,Never,6.5,11,5.8,56.9,False,6807,51.2,1
+3350,61,Female,132,80,231,42,157,141,160,6.7,25.9,90,137,Non-Anginal Pain,False,0.4,False,Never,0.9,127,7.7,54.7,False,6552,39.3,1
+3351,48,Female,153,101,234,46,161,105,96,5.2,35.1,82,146,Non-Anginal Pain,True,1.4,True,Never,5.2,130,5.6,47.3,True,9513,56.3,1
+3352,51,Female,112,64,175,70,81,171,121,5.6,25.1,80,178,Asymptomatic,False,0.3,False,Former,6.3,214,6.3,61.9,True,8850,78.2,0
+3353,66,Male,139,82,243,62,144,202,154,6.2,29.5,81,128,Atypical Angina,True,0.8,True,Former,21.0,135,9.7,44.2,True,7688,36.1,1
+3354,50,Male,149,87,165,48,92,149,154,7.5,32.9,88,144,Asymptomatic,True,0.4,True,Never,16.5,62,5.5,35.0,False,4761,57.6,1
+3355,30,Female,118,73,211,53,113,198,85,5.1,34.8,77,183,Asymptomatic,False,0.8,False,Former,6.3,204,7.3,75.0,True,7838,57.1,0
+3356,54,Male,130,79,201,63,110,214,118,5.7,29.4,86,188,Asymptomatic,False,1.0,False,Former,11.5,62,6.3,13.9,True,10593,81.4,0
+3357,57,Male,129,74,176,66,102,57,141,6.6,23.0,85,152,Asymptomatic,False,0.6,True,Former,8.6,81,7.8,60.8,False,4867,71.4,1
+3358,60,Male,147,83,211,57,113,190,98,5.3,23.6,61,147,Non-Anginal Pain,True,0.5,False,Former,2.8,182,6.2,63.4,True,4735,67.7,1
+3359,63,Female,127,97,190,42,124,179,110,5.8,25.1,89,173,Non-Anginal Pain,True,0.8,False,Never,3.9,100,6.8,41.8,True,6618,59.4,1
+3360,80,Female,144,84,143,59,35,189,132,6.2,26.0,62,158,Asymptomatic,False,0.3,False,Never,4.2,180,7.5,33.0,False,3247,54.8,0
+3361,35,Female,129,76,140,47,70,127,96,4.9,23.3,83,209,Non-Anginal Pain,True,1.8,False,Former,2.6,104,8.2,58.5,True,7149,59.6,0
+3362,77,Male,149,98,170,56,105,99,159,6.4,29.1,69,144,Typical Angina,False,0.3,False,Never,2.1,170,7.6,38.9,True,10045,51.9,0
+3363,64,Female,118,78,179,58,100,82,111,5.2,17.0,77,167,Non-Anginal Pain,False,0.9,True,Current,3.1,239,5.0,16.0,True,9706,55.9,0
+3364,54,Female,145,93,217,65,119,154,114,5.9,31.3,84,182,Atypical Angina,False,0.4,False,Current,5.9,201,5.7,36.8,True,4860,52.1,0
+3365,37,Female,136,89,157,56,76,147,111,5.4,26.3,83,180,Asymptomatic,False,0.6,True,Never,0.1,152,7.2,42.8,False,2325,60.5,0
+3366,55,Female,123,67,157,43,87,153,103,5.5,23.0,88,166,Atypical Angina,False,0.4,True,Current,3.6,77,7.8,37.4,False,4670,72.9,0
+3367,62,Female,136,89,218,55,117,213,93,4.4,29.5,95,163,Typical Angina,True,0.5,True,Never,14.2,22,7.5,60.2,False,3420,67.5,1
+3368,54,Female,109,75,216,60,114,174,104,5.4,28.3,89,187,Asymptomatic,False,1.1,True,Former,1.6,70,7.7,22.3,False,1055,56.1,0
+3369,48,Male,127,94,184,41,104,257,164,7.3,27.9,84,163,Atypical Angina,True,0.3,False,Never,12.2,145,5.8,33.0,True,4419,61.0,1
+3370,46,Female,127,84,242,53,139,183,119,6.1,30.4,74,160,Asymptomatic,True,1.7,False,Never,6.3,181,5.1,67.2,True,4671,55.8,1
+3371,44,Male,123,78,180,38,116,122,128,6.2,29.4,85,137,Asymptomatic,True,2.0,False,Never,2.5,41,6.4,41.2,True,4163,26.3,1
+3372,63,Male,157,101,233,47,135,193,101,5.7,34.5,88,150,Non-Anginal Pain,False,2.1,True,Current,1.6,86,6.1,52.7,False,6484,48.1,1
+3373,62,Female,139,81,241,60,135,123,146,6.5,33.3,80,152,Asymptomatic,True,1.1,False,Current,12.7,171,6.1,68.3,True,5316,53.4,1
+3374,67,Male,115,77,232,65,143,138,105,5.1,18.4,86,182,Asymptomatic,False,0.1,True,Former,2.5,305,5.9,61.8,True,6828,66.9,0
+3375,44,Male,119,69,183,72,73,151,102,5.1,26.3,69,192,Asymptomatic,False,1.0,False,Never,9.0,259,6.3,55.9,True,7580,77.3,0
+3376,72,Male,135,87,190,46,116,102,125,5.8,23.4,91,149,Non-Anginal Pain,False,1.0,True,Never,6.9,97,6.4,43.3,False,3698,91.1,0
+3377,86,Male,123,80,218,66,121,158,106,6.1,24.2,89,154,Asymptomatic,False,0.1,False,Former,2.1,68,6.4,59.8,True,11122,53.0,0
+3378,55,Male,140,76,197,55,102,177,124,5.4,31.2,79,148,Asymptomatic,False,1.4,True,Former,2.1,201,6.6,61.4,True,6975,72.7,0
+3379,69,Male,132,93,197,68,105,35,97,5.5,17.8,93,177,Non-Anginal Pain,False,0.9,False,Never,4.5,214,6.1,64.0,True,10331,59.3,0
+3380,37,Female,119,61,196,73,112,90,60,4.1,26.5,86,179,Asymptomatic,False,0.5,False,Never,3.2,131,6.0,53.1,False,8508,81.2,0
+3381,85,Male,142,91,192,46,114,191,116,5.5,19.8,71,124,Atypical Angina,False,0.3,False,Never,5.3,171,6.5,77.6,False,3329,48.4,1
+3382,62,Male,144,85,154,42,81,170,113,5.1,21.3,71,154,Typical Angina,True,0.4,False,Never,7.3,83,7.8,46.4,False,5649,72.3,0
+3383,70,Male,145,82,221,58,133,133,152,6.2,34.1,95,141,Atypical Angina,True,1.4,False,Former,7.9,11,7.4,57.1,True,6128,30.3,1
+3384,58,Male,127,90,191,65,94,159,101,5.7,23.8,81,157,Non-Anginal Pain,False,0.5,True,Former,6.0,183,5.8,31.4,True,8214,61.0,0
+3385,34,Male,126,77,191,40,115,151,93,5.9,26.7,102,190,Asymptomatic,False,1.0,False,Former,10.1,119,7.1,38.1,True,7188,63.7,0
+3386,61,Male,124,80,203,52,122,166,155,6.8,24.5,84,158,Asymptomatic,False,0.0,False,Never,6.7,255,7.7,63.9,True,6399,67.4,0
+3387,54,Male,128,92,197,45,118,143,170,7.0,17.0,72,185,Asymptomatic,False,0.3,False,Never,7.5,149,8.6,72.9,True,8581,47.4,0
+3388,66,Male,131,89,130,56,61,77,123,5.4,25.3,82,158,Asymptomatic,False,0.9,True,Former,1.7,148,7.6,14.6,True,11420,76.7,0
+3389,43,Female,114,66,217,34,170,60,123,5.9,30.9,81,162,Asymptomatic,False,0.3,True,Never,0.1,158,7.5,48.1,False,6985,52.5,0
+3390,18,Female,121,83,193,57,96,173,72,5.1,23.5,76,210,Non-Anginal Pain,True,0.0,False,Never,1.6,220,6.6,57.2,True,7112,52.4,0
+3391,53,Male,121,76,185,27,124,150,123,6.1,38.0,81,162,Non-Anginal Pain,False,0.7,False,Current,12.0,189,7.7,38.8,True,8452,69.1,1
+3392,50,Male,92,57,248,61,161,202,130,5.7,19.7,82,168,Asymptomatic,False,1.4,False,Never,7.6,23,5.6,62.7,True,4303,61.1,0
+3393,64,Female,140,79,158,63,85,42,128,5.4,22.0,70,183,Typical Angina,False,1.8,True,Never,1.1,185,6.8,27.9,True,9392,83.2,0
+3394,43,Female,125,77,222,71,123,140,129,6.2,18.4,71,181,Asymptomatic,True,0.1,False,Current,8.6,212,8.4,31.3,True,5704,53.0,0
+3395,49,Male,92,63,195,43,130,128,127,6.3,24.6,79,183,Asymptomatic,False,0.4,False,Current,8.5,97,6.8,28.7,False,8420,60.3,0
+3396,49,Male,122,70,203,71,101,196,104,5.7,23.3,80,185,Asymptomatic,False,0.8,False,Former,6.4,156,7.7,41.6,True,6380,60.7,0
+3397,45,Male,122,78,142,56,74,136,75,4.7,23.4,80,193,Atypical Angina,False,0.3,False,Never,2.6,124,6.9,53.9,True,7725,72.2,0
+3398,61,Female,131,88,207,57,120,99,91,5.5,27.1,89,162,Asymptomatic,False,1.1,False,Current,6.9,112,6.6,51.5,True,9586,38.2,0
+3399,50,Male,127,87,165,49,84,185,148,6.2,25.6,91,158,Asymptomatic,False,1.3,False,Former,11.2,89,6.4,50.8,False,7007,76.2,0
+3400,48,Male,106,69,124,46,54,103,162,6.5,22.0,84,175,Non-Anginal Pain,False,0.2,False,Current,3.9,122,6.3,37.5,True,6035,72.3,0
+3401,45,Female,134,90,192,69,97,116,95,5.8,22.0,78,163,Non-Anginal Pain,False,1.3,False,Never,11.6,84,8.7,71.0,False,5611,47.1,0
+3402,50,Male,139,97,221,86,81,286,77,4.8,28.1,74,166,Asymptomatic,False,0.5,True,Former,11.0,271,6.7,69.6,True,9682,64.2,0
+3403,74,Female,156,113,233,40,134,206,164,7.3,28.6,82,118,Non-Anginal Pain,True,0.7,False,Never,6.1,152,4.7,60.2,False,6513,41.2,1
+3404,51,Male,132,87,199,60,108,151,163,7.5,21.8,65,165,Asymptomatic,True,1.5,True,Never,15.6,139,4.6,65.4,False,2446,66.7,1
+3405,46,Female,127,75,236,69,137,202,116,5.6,30.0,79,185,Atypical Angina,True,2.3,True,Never,9.6,102,8.2,60.3,False,7233,40.3,0
+3406,55,Male,151,90,157,55,94,94,144,6.6,24.5,77,158,Atypical Angina,False,1.8,False,Former,4.7,123,5.5,40.5,False,7698,71.2,1
+3407,64,Female,125,89,234,55,158,134,133,6.2,19.7,68,147,Atypical Angina,True,1.3,True,Current,0.9,121,7.0,64.7,False,3275,41.6,1
+3408,54,Male,134,77,227,63,125,174,103,5.3,23.2,70,181,Asymptomatic,True,1.7,True,Never,12.8,225,8.9,46.2,False,7196,63.0,0
+3409,60,Male,138,89,188,65,103,117,143,6.6,18.3,81,170,Asymptomatic,False,1.2,False,Never,2.7,119,3.4,30.4,False,4130,79.8,0
+3410,62,Female,144,97,187,60,102,182,99,4.8,18.2,74,134,Asymptomatic,False,4.8,False,Current,2.7,118,6.3,26.5,True,6158,67.7,0
+3411,64,Male,143,99,172,50,110,99,79,4.6,27.3,73,160,Non-Anginal Pain,False,1.6,False,Never,3.5,168,6.5,49.3,True,5630,77.2,0
+3412,57,Female,154,107,181,54,99,177,157,7.1,33.5,80,175,Non-Anginal Pain,False,0.7,True,Never,0.1,210,6.3,59.6,True,9964,51.3,0
+3413,36,Male,141,89,190,48,104,184,132,6.7,28.6,94,194,Asymptomatic,True,0.8,False,Never,6.1,105,5.5,73.3,False,9095,36.9,1
+3414,53,Female,130,90,213,60,127,144,144,7.0,31.7,87,154,Atypical Angina,True,0.0,False,Current,13.1,175,7.1,63.3,False,5026,76.6,1
+3415,46,Female,115,65,178,56,85,154,117,5.4,28.4,80,185,Atypical Angina,False,0.6,False,Never,5.6,248,6.9,35.9,True,6538,63.2,0
+3416,64,Male,137,89,165,55,103,96,104,6.1,23.2,88,165,Asymptomatic,False,0.6,False,Current,7.9,46,6.6,48.7,False,5638,47.0,0
+3417,71,Male,139,83,200,52,110,186,102,4.9,25.1,87,137,Atypical Angina,False,0.3,True,Never,3.0,119,7.0,49.9,True,4213,70.5,0
+3418,49,Female,128,80,243,47,143,218,100,5.0,28.8,81,152,Atypical Angina,False,2.3,False,Current,4.6,169,5.8,47.9,True,7845,44.8,1
+3419,64,Female,133,91,159,52,90,99,147,6.4,21.5,76,145,Asymptomatic,False,0.3,False,Former,1.0,43,7.4,51.3,False,5387,59.6,0
+3420,59,Male,124,84,236,71,134,107,115,6.1,26.6,82,154,Asymptomatic,False,0.0,False,Never,1.7,109,6.0,44.7,False,1644,60.5,0
+3421,51,Male,111,81,199,42,92,260,117,6.1,26.9,78,158,Typical Angina,False,1.3,False,Never,12.3,53,7.6,30.6,False,5317,60.5,1
+3422,72,Female,149,90,206,69,101,207,118,6.4,31.3,89,135,Asymptomatic,False,0.6,False,Never,24.4,130,6.8,31.2,True,7543,51.4,0
+3423,48,Female,120,79,169,75,68,155,117,6.0,18.1,84,166,Asymptomatic,False,0.4,True,Never,9.7,108,7.2,15.5,False,4245,71.9,0
+3424,45,Male,104,59,183,49,76,235,88,5.1,22.9,83,182,Asymptomatic,False,0.4,False,Never,12.5,108,8.0,36.8,True,8045,68.9,0
+3425,43,Male,114,74,147,40,93,131,133,6.0,21.3,71,172,Non-Anginal Pain,False,0.6,True,Never,2.1,157,7.3,38.7,False,7106,77.8,0
+3426,68,Male,151,80,223,33,150,182,103,5.9,20.6,88,128,Non-Anginal Pain,True,0.7,False,Former,3.3,79,6.8,56.6,False,5697,52.9,1
+3427,44,Male,122,81,223,61,112,204,71,4.0,21.1,71,170,Asymptomatic,False,2.9,False,Former,2.7,189,6.4,41.4,True,7362,56.6,0
+3428,44,Male,104,64,137,37,96,54,123,5.9,16.2,83,173,Atypical Angina,True,4.9,False,Former,4.9,62,7.6,44.9,False,6866,52.8,1
+3429,68,Female,127,76,219,64,98,206,124,6.1,27.2,103,135,Asymptomatic,False,0.4,False,Current,3.9,57,6.3,52.2,True,6404,46.7,1
+3430,59,Female,128,87,227,67,137,125,120,5.9,22.5,78,161,Non-Anginal Pain,False,0.7,False,Former,1.6,158,6.3,23.4,False,4898,57.7,0
+3431,52,Female,118,78,192,58,102,92,121,5.7,23.3,91,180,Asymptomatic,False,0.7,True,Former,2.6,157,6.4,67.5,False,7892,76.3,0
+3432,43,Male,107,73,212,63,127,118,121,5.8,23.9,79,194,Asymptomatic,False,0.4,False,Current,3.6,120,5.5,45.6,True,6333,59.4,0
+3433,57,Male,126,76,166,51,85,183,117,6.0,19.9,79,170,Asymptomatic,False,0.8,False,Never,1.8,88,7.2,49.3,False,6123,43.0,0
+3434,40,Male,122,76,155,62,50,197,98,5.0,23.3,86,209,Asymptomatic,False,0.3,True,Never,4.5,131,6.9,42.6,False,3695,54.2,0
+3435,57,Female,126,88,214,75,108,126,123,6.3,25.8,76,161,Atypical Angina,False,0.1,False,Former,2.4,159,7.7,33.0,False,7471,55.8,0
+3436,56,Male,128,83,220,81,119,158,112,5.8,20.4,81,161,Asymptomatic,False,0.6,False,Current,5.4,281,7.4,60.7,True,11125,65.1,0
+3437,53,Male,138,72,126,20,62,156,130,5.9,22.9,76,157,Asymptomatic,False,1.3,True,Current,5.5,128,8.1,63.0,False,2279,65.1,1
+3438,56,Male,126,87,188,74,95,146,150,6.2,25.4,71,164,Non-Anginal Pain,False,0.2,False,Never,2.1,131,7.4,45.2,False,6816,62.1,0
+3439,62,Male,128,85,228,49,161,125,107,5.7,21.8,72,162,Asymptomatic,False,1.3,False,Former,2.8,176,6.1,64.8,True,6001,61.7,0
+3440,31,Male,97,61,206,75,92,129,87,4.8,22.5,78,193,Asymptomatic,False,0.0,False,Never,2.9,169,7.4,60.9,True,7760,47.7,0
+3441,40,Male,131,88,242,58,133,190,139,5.5,22.0,86,203,Asymptomatic,False,0.6,True,Never,3.5,195,7.0,42.0,True,6882,77.7,0
+3442,63,Male,140,97,203,68,101,233,94,5.4,27.3,82,150,Asymptomatic,True,0.9,False,Former,17.2,3,7.1,45.8,True,6666,93.1,1
+3443,52,Male,151,111,213,43,146,98,116,5.8,26.1,88,177,Non-Anginal Pain,False,0.3,False,Never,3.9,45,8.0,39.9,False,2961,71.1,0
+3444,65,Male,144,71,138,37,93,63,135,6.2,26.7,72,148,Non-Anginal Pain,False,1.9,True,Former,7.9,60,7.4,52.9,True,5464,52.5,1
+3445,76,Male,128,72,182,61,90,161,113,5.7,19.6,87,149,Atypical Angina,True,0.2,True,Never,2.0,253,6.6,33.4,True,9161,67.0,0
+3446,74,Male,145,103,259,53,171,176,149,7.1,26.0,78,141,Asymptomatic,False,0.1,False,Never,3.3,86,6.2,58.2,False,5065,31.1,0
+3447,67,Male,125,82,177,66,70,149,65,4.4,17.5,68,166,Atypical Angina,True,1.6,True,Former,13.5,222,5.2,36.5,True,7054,55.5,1
+3448,55,Female,126,79,188,69,78,190,117,5.8,23.4,88,149,Non-Anginal Pain,False,0.5,False,Former,1.6,80,7.2,44.0,False,6901,74.7,0
+3449,69,Female,137,94,152,52,84,123,115,6.1,28.3,85,131,Asymptomatic,False,2.3,True,Former,2.6,65,8.8,55.4,True,5327,66.3,1
+3450,46,Male,123,70,141,40,83,151,128,5.2,30.2,78,169,Non-Anginal Pain,False,0.6,False,Former,1.7,199,7.9,48.9,True,10565,69.0,0
+3451,57,Male,151,97,174,51,106,214,102,6.1,30.6,84,167,Asymptomatic,True,4.0,False,Current,28.1,118,6.6,45.7,True,7660,54.2,1
+3452,51,Male,150,91,180,44,104,160,104,5.5,32.1,79,152,Typical Angina,False,1.5,False,Current,2.0,126,8.2,24.7,False,3834,67.7,1
+3453,48,Female,134,87,141,33,70,200,127,6.6,35.8,80,189,Asymptomatic,True,1.3,True,Current,2.8,109,8.1,80.6,True,8927,52.9,0
+3454,45,Male,113,67,135,43,70,131,101,5.8,23.1,82,178,Asymptomatic,False,0.7,False,Former,6.8,121,8.8,21.9,False,6887,66.7,0
+3455,60,Male,126,75,212,48,125,222,117,5.8,25.9,72,157,Typical Angina,True,1.1,False,Never,5.1,162,7.9,35.9,True,5480,62.5,1
+3456,34,Female,121,77,183,42,120,144,110,5.6,29.6,89,167,Non-Anginal Pain,True,1.6,True,Current,2.1,138,5.0,73.5,False,5437,50.4,1
+3457,29,Female,132,70,250,58,123,231,141,6.5,37.6,92,175,Asymptomatic,False,2.7,True,Current,8.1,119,8.6,56.1,False,6976,46.2,1
+3458,67,Male,125,85,240,72,137,165,94,5.8,19.9,78,156,Typical Angina,False,0.6,False,Never,31.5,252,5.6,9.0,True,9008,47.8,0
+3459,59,Male,118,84,162,54,90,132,123,5.9,28.8,81,150,Non-Anginal Pain,False,0.6,False,Current,8.8,91,7.4,34.6,False,2109,62.4,0
+3460,65,Female,153,88,181,46,106,111,99,5.6,27.5,86,164,Non-Anginal Pain,False,0.6,False,Never,10.8,121,8.2,58.1,False,3935,56.3,0
+3461,53,Female,141,85,194,56,114,148,92,5.3,24.6,87,163,Typical Angina,True,0.4,False,Current,5.0,60,6.1,44.0,False,6299,47.3,1
+3462,60,Female,132,81,204,55,122,114,103,6.0,23.0,79,179,Typical Angina,False,0.7,True,Never,12.4,178,8.3,61.6,True,7096,100.0,0
+3463,48,Male,102,62,232,59,158,137,121,5.9,26.2,65,157,Typical Angina,False,0.9,False,Former,17.1,188,5.7,28.7,True,6033,82.0,1
+3464,47,Male,121,65,202,53,103,175,142,6.5,20.3,81,187,Asymptomatic,False,0.2,False,Never,6.2,190,7.8,37.5,True,7841,89.1,0
+3465,40,Male,103,64,155,74,47,179,126,5.6,27.9,95,193,Non-Anginal Pain,False,0.1,False,Never,9.0,135,7.8,40.0,False,9361,58.0,0
+3466,77,Male,140,77,175,68,94,73,136,6.1,25.0,62,163,Asymptomatic,False,0.8,False,Never,4.7,213,8.2,42.0,True,5870,44.0,0
+3467,42,Female,93,57,156,47,101,72,142,6.5,19.2,72,182,Asymptomatic,False,1.4,False,Never,4.3,177,6.6,16.2,False,6176,92.7,0
+3468,74,Male,137,95,207,76,89,222,113,5.6,26.5,63,171,Asymptomatic,True,0.9,False,Current,13.9,316,6.1,57.5,True,11644,45.6,0
+3469,38,Male,122,84,161,27,104,123,127,6.0,24.9,100,178,Asymptomatic,False,3.2,True,Current,1.7,49,7.2,40.4,False,4165,43.4,0
+3470,42,Female,111,59,196,67,94,130,72,4.5,23.4,68,201,Asymptomatic,False,0.5,False,Former,0.8,157,9.9,29.6,False,6528,47.8,0
+3471,70,Female,146,104,240,78,139,118,164,7.1,29.2,94,149,Asymptomatic,True,1.1,True,Never,0.4,115,5.3,43.8,False,653,56.2,1
+3472,62,Male,136,82,195,59,91,208,133,6.5,31.9,83,144,Atypical Angina,False,0.9,False,Former,3.0,99,3.7,54.4,True,11063,64.5,1
+3473,59,Female,117,81,223,72,102,206,132,5.3,23.0,65,158,Asymptomatic,True,0.0,True,Never,4.6,179,8.9,60.2,False,7145,49.1,0
+3474,42,Male,123,83,201,82,78,175,119,6.2,23.0,73,189,Atypical Angina,True,1.5,True,Never,4.2,92,6.2,27.4,False,3484,96.2,0
+3475,67,Male,129,82,194,60,110,147,139,6.4,22.2,76,165,Asymptomatic,False,1.7,False,Never,2.2,200,8.2,37.0,True,4694,69.5,0
+3476,43,Male,120,65,178,53,114,112,154,7.0,25.9,86,174,Non-Anginal Pain,True,2.8,False,Current,8.0,152,6.8,65.4,True,9760,58.5,1
+3477,58,Male,123,76,241,42,151,168,96,5.2,24.5,75,163,Asymptomatic,False,0.1,False,Former,9.3,117,6.8,21.3,True,10119,46.9,0
+3478,45,Male,106,74,161,47,100,85,113,5.7,22.0,80,177,Asymptomatic,False,0.9,False,Never,1.7,146,7.3,32.5,False,6410,60.1,0
+3479,74,Male,140,92,129,44,74,108,113,5.3,25.1,82,127,Asymptomatic,False,4.6,True,Current,12.8,235,7.1,75.1,True,4299,44.0,1
+3480,59,Male,132,76,198,31,132,177,148,7.0,32.7,103,146,Asymptomatic,False,4.5,True,Current,7.6,9,6.9,59.6,False,6019,51.7,1
+3481,71,Male,135,89,201,52,120,145,114,6.1,28.8,104,145,Non-Anginal Pain,False,1.4,True,Never,11.0,84,5.5,51.9,False,6597,53.5,0
+3482,52,Male,118,85,180,65,92,112,137,6.1,23.0,74,149,Typical Angina,False,2.1,True,Never,4.7,235,7.3,56.8,True,7148,51.0,1
+3483,45,Female,129,75,211,62,114,179,126,5.6,28.6,81,186,Non-Anginal Pain,False,0.3,False,Former,15.6,124,6.1,44.5,True,10706,55.6,0
+3484,36,Male,113,79,221,52,113,232,111,5.0,18.3,74,179,Asymptomatic,False,0.7,True,Never,14.0,236,7.1,51.2,True,8281,76.7,0
+3485,57,Male,108,73,171,45,102,120,152,6.2,31.3,96,155,Asymptomatic,True,1.6,False,Never,4.4,43,7.4,33.0,False,3252,57.5,0
+3486,69,Male,140,96,120,28,81,133,124,6.5,26.7,84,129,Atypical Angina,True,4.5,False,Former,5.5,0,8.8,41.8,False,1095,47.9,1
+3487,61,Male,119,73,251,69,140,219,120,5.6,24.4,79,153,Asymptomatic,True,0.1,True,Former,10.2,64,7.2,59.5,False,1256,62.8,1
+3488,45,Male,129,83,181,41,116,154,117,6.4,35.3,74,178,Asymptomatic,False,0.4,False,Never,6.8,186,7.3,66.8,True,8312,53.1,0
+3489,48,Male,131,75,199,65,88,153,79,4.3,22.9,72,167,Asymptomatic,False,0.3,True,Never,3.7,152,7.8,62.7,True,5267,49.4,0
+3490,48,Female,134,77,203,34,116,268,95,4.8,32.5,80,182,Atypical Angina,False,0.6,False,Never,1.8,109,7.6,62.6,False,6379,49.4,0
+3491,54,Male,139,87,162,59,69,150,114,5.4,24.8,77,186,Typical Angina,False,1.0,False,Never,2.3,87,6.8,28.8,False,8724,40.6,0
+3492,63,Male,118,80,203,49,103,199,115,5.9,21.0,71,149,Typical Angina,False,0.4,False,Never,1.8,211,6.8,36.4,False,5306,68.7,0
+3493,56,Male,120,80,118,49,49,194,130,5.6,19.7,75,152,Non-Anginal Pain,False,0.6,False,Former,10.9,191,7.5,32.2,False,3055,76.8,0
+3494,63,Female,103,63,196,61,119,132,141,6.4,29.0,73,123,Atypical Angina,True,2.6,True,Former,5.5,134,6.2,44.8,True,9330,50.7,1
+3495,60,Female,134,89,145,57,55,129,104,5.3,33.4,64,152,Non-Anginal Pain,False,1.0,False,Never,1.8,149,7.8,37.2,False,6842,67.0,0
+3496,41,Female,117,72,205,45,122,162,81,4.9,25.4,92,195,Non-Anginal Pain,False,1.6,True,Current,5.0,139,7.2,78.1,False,8080,76.2,0
+3497,55,Female,130,89,121,49,65,78,130,6.3,23.5,85,178,Non-Anginal Pain,False,1.1,False,Never,1.8,96,9.3,69.1,False,4589,66.7,0
+3498,41,Female,140,91,161,64,63,95,112,5.1,30.1,77,193,Asymptomatic,False,0.7,False,Never,1.7,69,7.2,75.4,False,4078,57.5,0
+3499,55,Female,129,76,195,51,91,262,104,5.5,26.9,75,131,Asymptomatic,False,1.2,True,Never,1.8,65,7.2,57.1,False,6237,45.9,1
+3500,60,Female,143,84,188,39,133,60,122,5.5,26.6,85,151,Asymptomatic,False,0.4,False,Current,4.8,114,6.9,64.0,True,10936,56.6,0
+3501,44,Female,129,74,206,70,97,159,146,6.6,24.5,82,150,Non-Anginal Pain,True,0.4,True,Current,1.8,134,5.5,45.2,False,6393,43.8,1
+3502,37,Male,97,67,191,76,110,57,92,5.3,23.4,82,200,Atypical Angina,False,0.5,False,Never,3.5,337,5.4,16.1,True,6880,63.7,0
+3503,57,Male,127,76,206,70,97,234,87,5.4,25.3,74,181,Asymptomatic,False,0.9,False,Never,7.1,141,7.0,42.4,True,7590,57.4,0
+3504,53,Male,97,56,242,58,155,170,163,7.0,27.9,85,161,Typical Angina,True,2.9,False,Current,2.4,147,9.8,59.8,False,5025,65.4,1
+3505,69,Male,135,79,170,39,108,151,126,6.0,29.8,86,145,Asymptomatic,True,3.0,False,Former,5.4,74,7.2,62.0,True,7950,69.1,0
+3506,46,Female,125,66,218,63,107,178,107,5.5,22.4,84,182,Typical Angina,False,0.5,False,Never,3.2,171,7.8,36.2,True,6369,48.7,0
+3507,75,Female,128,88,212,45,134,129,127,5.7,19.3,98,127,Atypical Angina,False,1.6,False,Current,3.3,72,6.8,58.8,False,6869,43.2,0
+3508,63,Female,126,87,174,36,111,128,140,6.2,25.8,86,143,Typical Angina,True,0.6,True,Current,3.8,117,7.3,39.4,False,1095,64.0,1
+3509,35,Male,102,61,177,78,96,92,60,4.2,15.0,70,183,Non-Anginal Pain,False,0.6,True,Former,2.6,150,7.8,53.5,False,6413,44.8,0
+3510,45,Male,131,89,174,42,93,138,80,4.5,24.1,79,183,Asymptomatic,False,1.4,False,Never,3.9,166,6.0,58.2,False,3976,77.3,0
+3511,54,Female,137,76,207,50,121,139,96,5.4,28.0,69,161,Atypical Angina,False,0.2,False,Never,1.0,70,6.6,31.5,False,2936,51.5,1
+3512,53,Male,135,82,185,46,119,134,125,5.9,32.3,93,162,Atypical Angina,True,2.4,False,Never,1.9,103,7.1,59.5,True,7460,54.1,1
+3513,43,Male,112,76,206,52,106,190,96,5.9,22.4,61,169,Typical Angina,False,0.2,False,Never,10.9,198,7.1,17.6,False,6236,69.3,0
+3514,31,Male,131,86,161,64,78,82,77,5.1,20.3,95,186,Asymptomatic,False,1.5,False,Never,2.9,105,6.7,39.2,True,5940,73.7,0
+3515,50,Male,126,83,202,50,148,78,165,7.0,30.3,82,160,Asymptomatic,False,0.4,False,Former,2.3,150,7.5,28.3,True,5340,47.8,0
+3516,51,Male,126,80,202,52,109,190,64,4.0,29.6,96,165,Non-Anginal Pain,True,0.3,False,Never,3.9,0,5.3,52.1,False,2902,39.3,1
+3517,61,Female,116,83,195,68,88,166,126,5.7,25.0,95,142,Atypical Angina,True,0.5,False,Never,0.3,178,7.5,38.6,False,6437,61.9,1
+3518,57,Male,126,81,178,67,100,70,93,5.3,24.1,82,137,Typical Angina,False,1.3,False,Never,4.6,180,6.2,42.2,False,3042,76.5,1
+3519,40,Male,117,77,198,58,106,117,119,5.9,18.5,73,157,Atypical Angina,False,0.1,True,Never,1.5,154,8.0,42.9,False,3140,32.2,1
+3520,64,Female,120,72,221,59,116,236,158,6.5,30.1,107,119,Asymptomatic,True,2.0,False,Former,1.7,66,5.9,54.9,False,6236,51.3,1
+3521,46,Female,130,82,119,60,44,141,81,4.9,17.5,76,180,Asymptomatic,False,0.9,False,Never,5.2,263,7.3,53.9,True,12114,81.8,0
+3522,66,Male,133,93,195,42,114,219,106,4.9,33.4,76,149,Asymptomatic,False,1.5,False,Never,5.9,86,7.3,34.7,False,3345,48.9,0
+3523,48,Female,126,72,167,63,83,149,103,4.9,24.4,71,170,Asymptomatic,False,1.0,True,Never,5.9,214,7.0,24.2,True,7076,61.9,0
+3524,47,Male,121,81,133,60,60,44,92,4.8,16.2,87,164,Asymptomatic,False,1.2,True,Never,2.2,227,6.5,59.2,True,4801,43.8,0
+3525,54,Male,147,94,157,51,103,57,148,5.9,19.9,83,166,Asymptomatic,False,0.3,False,Never,8.2,153,8.3,59.1,True,6882,57.6,0
+3526,64,Male,130,84,156,41,74,191,108,5.6,25.9,73,154,Typical Angina,False,0.3,False,Current,2.5,223,7.4,57.4,False,5289,45.0,0
+3527,57,Female,135,84,223,52,132,165,119,5.7,27.0,80,174,Asymptomatic,False,0.3,True,Never,4.8,144,7.6,56.8,True,8030,39.6,0
+3528,37,Male,127,75,213,41,140,148,168,6.6,27.7,87,163,Asymptomatic,False,0.1,False,Current,2.3,229,7.8,61.4,True,7093,59.2,1
+3529,67,Male,118,83,152,51,82,99,92,4.8,24.2,76,157,Asymptomatic,False,0.4,False,Former,21.4,122,8.4,42.2,True,9163,75.1,0
+3530,45,Male,118,71,176,46,83,232,85,4.9,24.3,72,175,Atypical Angina,False,1.6,False,Current,7.1,164,6.5,63.5,False,4090,51.5,0
+3531,35,Male,105,63,144,41,97,104,112,5.0,21.4,88,181,Asymptomatic,False,1.7,False,Current,2.1,127,6.3,50.3,True,9913,62.4,0
+3532,32,Male,116,63,208,67,112,165,102,4.7,31.4,80,181,Non-Anginal Pain,False,0.3,True,Former,3.1,227,6.5,46.3,True,7372,78.9,0
+3533,71,Male,135,84,190,49,115,182,144,6.0,23.8,65,127,Typical Angina,False,2.8,False,Former,12.5,185,6.9,44.0,True,6638,70.6,1
+3534,74,Male,164,97,216,49,127,232,113,5.5,28.5,74,157,Asymptomatic,True,2.3,False,Former,9.7,144,7.4,55.6,False,5136,76.3,1
+3535,47,Male,125,78,183,47,111,119,91,5.6,32.0,97,151,Asymptomatic,True,2.7,False,Never,3.3,43,6.2,46.1,False,4763,60.4,1
+3536,50,Male,130,72,144,72,48,161,123,5.8,25.2,90,186,Non-Anginal Pain,False,0.4,False,Never,4.6,138,8.4,63.7,True,9129,67.7,0
+3537,53,Female,154,89,192,67,98,227,123,5.6,26.4,65,161,Non-Anginal Pain,True,0.2,True,Never,3.8,201,7.1,59.5,False,5321,93.8,0
+3538,38,Female,136,84,212,67,103,189,93,4.4,16.0,75,176,Asymptomatic,False,0.5,False,Former,20.2,193,6.5,79.6,True,9635,37.6,0
+3539,56,Female,123,81,173,64,90,102,88,4.7,25.7,70,174,Atypical Angina,False,2.3,False,Never,3.3,123,6.0,68.2,False,3910,61.2,0
+3540,61,Female,109,70,169,59,73,176,122,6.0,21.4,84,160,Non-Anginal Pain,False,0.2,False,Never,0.8,104,5.0,46.2,False,6566,47.2,0
+3541,49,Female,138,81,178,45,121,71,111,5.6,26.1,71,154,Asymptomatic,True,1.8,False,Current,0.2,198,4.2,40.9,False,6547,54.2,1
+3542,57,Male,118,77,204,63,108,178,131,6.6,29.2,81,182,Asymptomatic,False,0.0,False,Never,4.5,120,7.6,32.6,True,1635,31.9,0
+3543,49,Male,129,76,137,39,67,187,95,5.3,26.8,66,171,Asymptomatic,False,0.6,False,Current,8.4,76,6.1,57.7,False,3209,56.3,0
+3544,67,Female,127,86,210,65,99,197,127,6.0,21.8,80,145,Typical Angina,False,1.5,False,Never,10.3,185,7.5,32.6,False,7638,64.2,0
+3545,42,Female,110,70,218,58,122,161,123,5.9,27.6,69,184,Asymptomatic,False,1.0,True,Former,3.5,206,8.1,82.4,True,10485,53.7,0
+3546,48,Male,129,80,151,47,90,105,174,7.7,24.6,71,191,Typical Angina,False,1.4,True,Never,2.8,55,4.3,52.2,False,2700,44.7,0
+3547,73,Female,136,80,225,31,162,140,133,6.3,28.4,101,122,Asymptomatic,False,0.8,False,Never,0.7,48,4.7,45.3,False,7341,61.0,1
+3548,56,Female,146,100,170,43,99,119,130,6.0,31.2,87,164,Asymptomatic,False,0.1,True,Former,3.2,163,5.7,52.2,True,7605,52.4,0
+3549,85,Male,137,81,166,51,83,233,140,6.1,24.8,85,139,Atypical Angina,False,5.0,False,Former,2.3,74,8.4,58.3,True,6794,84.5,1
+3550,64,Male,131,90,181,35,103,218,119,6.1,36.9,70,149,Asymptomatic,False,2.7,False,Never,2.4,101,7.8,51.2,True,4874,54.5,1
+3551,69,Female,143,97,191,33,122,154,147,6.2,27.0,86,175,Asymptomatic,False,0.2,False,Current,3.5,46,9.3,34.0,False,3031,32.0,0
+3552,62,Female,125,85,145,40,78,123,176,7.6,29.0,86,130,Typical Angina,False,4.5,False,Current,0.4,21,5.8,51.8,True,4820,46.6,1
+3553,44,Male,133,86,220,47,130,203,141,6.8,32.1,81,165,Atypical Angina,False,0.3,False,Former,3.2,157,4.3,29.9,False,5927,74.5,0
+3554,66,Female,149,103,165,71,52,127,116,5.8,28.6,88,136,Asymptomatic,False,0.8,True,Never,0.3,201,5.2,52.3,False,4925,92.7,0
+3555,41,Female,105,62,219,66,105,180,154,6.4,27.9,81,174,Asymptomatic,False,0.7,False,Former,1.4,166,5.6,63.7,True,10698,70.7,1
+3556,33,Female,134,74,198,82,76,156,126,6.3,33.4,68,209,Non-Anginal Pain,False,1.1,False,Never,2.3,275,5.4,13.9,False,6434,70.7,0
+3557,59,Male,127,82,143,40,102,107,131,6.2,29.0,94,151,Asymptomatic,False,1.9,False,Former,1.7,61,7.0,75.7,False,5948,42.1,1
+3558,67,Male,136,73,185,51,83,238,97,5.3,25.6,76,142,Atypical Angina,False,0.4,False,Former,6.8,185,7.4,24.2,False,7225,53.2,0
+3559,70,Male,142,94,177,37,99,152,137,6.1,27.2,91,131,Non-Anginal Pain,True,1.5,True,Former,8.7,73,7.0,60.8,False,8749,84.2,1
+3560,59,Female,119,82,288,46,184,236,116,5.6,23.2,84,169,Asymptomatic,False,0.2,True,Current,7.4,91,7.1,64.5,True,4831,51.4,0
+3561,53,Female,143,100,212,58,114,247,122,6.3,33.4,79,173,Non-Anginal Pain,False,0.8,False,Former,20.4,160,5.8,45.9,True,3351,87.0,0
+3562,52,Male,111,62,153,70,63,75,137,6.1,21.1,65,195,Asymptomatic,False,0.4,False,Never,2.5,268,6.6,18.9,True,6045,90.2,0
+3563,61,Male,121,78,198,49,106,194,116,5.1,24.3,85,176,Asymptomatic,False,1.6,True,Never,6.4,122,5.2,42.0,True,4911,51.4,0
+3564,67,Male,127,80,233,62,150,144,182,7.2,28.6,85,160,Asymptomatic,False,1.4,False,Former,6.0,30,7.6,47.1,False,5582,55.2,0
+3565,54,Male,114,72,212,56,131,146,77,4.6,22.0,75,170,Typical Angina,True,1.8,False,Never,3.5,79,7.3,74.1,True,5026,55.8,1
+3566,62,Male,121,74,188,46,100,190,99,5.1,25.2,69,174,Typical Angina,False,1.2,True,Never,5.0,304,6.0,61.0,True,8809,50.7,0
+3567,69,Male,133,83,159,58,71,134,88,5.0,22.1,67,135,Non-Anginal Pain,True,1.5,True,Never,10.2,175,7.3,60.9,True,8145,42.5,1
+3568,70,Female,165,98,211,55,114,195,143,5.6,29.4,71,144,Asymptomatic,False,0.2,False,Current,2.4,69,7.8,52.8,False,7021,66.9,0
+3569,69,Male,112,79,176,60,95,92,135,6.2,16.9,76,140,Non-Anginal Pain,False,1.2,False,Never,1.9,177,6.8,25.3,False,6937,53.2,1
+3570,65,Female,119,70,227,63,129,234,111,5.6,16.4,69,168,Non-Anginal Pain,False,0.1,True,Former,0.7,200,8.1,66.8,True,7968,67.6,0
+3571,77,Female,137,78,161,52,97,83,128,5.8,28.5,76,137,Non-Anginal Pain,False,1.9,True,Never,5.2,122,5.5,54.0,True,6923,66.3,0
+3572,43,Male,138,87,181,65,74,201,137,6.1,24.6,83,166,Non-Anginal Pain,True,0.1,True,Former,26.9,88,5.2,58.0,True,3562,73.0,1
+3573,76,Female,125,85,167,76,73,92,90,5.3,22.3,78,140,Asymptomatic,False,2.5,True,Former,4.5,201,6.8,34.7,True,5537,56.0,0
+3574,55,Female,115,78,219,56,142,95,119,6.4,23.4,81,171,Non-Anginal Pain,True,3.5,False,Current,0.4,225,6.8,32.4,True,6792,51.3,1
+3575,34,Female,141,99,118,54,42,96,115,6.2,32.3,83,195,Non-Anginal Pain,False,0.7,True,Never,0.5,97,7.3,37.0,True,6171,44.0,0
+3576,56,Male,130,86,226,51,157,124,100,5.7,28.8,79,176,Non-Anginal Pain,False,1.1,False,Current,6.4,121,8.0,42.0,False,5937,75.5,0
+3577,58,Female,117,68,199,67,101,120,114,6.2,19.9,82,170,Non-Anginal Pain,False,1.4,False,Never,2.8,241,6.5,36.1,False,7661,68.8,0
+3578,37,Male,102,67,196,31,110,229,97,5.3,23.1,82,163,Asymptomatic,True,1.5,True,Current,14.4,202,6.5,61.9,True,6778,41.8,1
+3579,54,Female,139,84,192,55,106,219,152,7.4,28.5,71,185,Asymptomatic,False,0.1,False,Never,10.9,216,5.3,51.8,False,9048,66.8,0
+3580,26,Male,110,63,185,40,112,193,115,5.5,26.4,79,210,Atypical Angina,False,2.0,True,Never,3.5,161,6.2,41.5,False,7081,58.0,0
+3581,76,Female,132,81,213,60,127,176,122,5.8,30.0,83,149,Asymptomatic,False,0.6,True,Former,7.9,175,5.9,67.7,False,4991,43.0,0
+3582,51,Female,125,70,176,67,76,154,149,7.1,18.6,81,183,Non-Anginal Pain,False,1.9,True,Never,1.2,103,6.5,28.8,False,6969,43.2,0
+3583,54,Male,116,81,183,32,115,224,141,6.4,31.2,78,152,Non-Anginal Pain,True,0.4,False,Never,5.1,167,6.7,30.9,False,3797,33.5,1
+3584,66,Female,148,89,237,51,123,212,120,5.9,24.2,91,127,Asymptomatic,True,3.8,False,Current,12.2,35,6.6,30.4,False,6531,41.3,1
+3585,54,Male,128,76,223,54,141,164,96,5.3,21.9,87,149,Atypical Angina,False,0.1,False,Former,3.8,169,7.0,62.4,True,6865,66.0,0
+3586,38,Female,136,91,166,73,74,79,85,5.0,25.7,88,185,Asymptomatic,True,0.1,False,Never,4.9,190,7.6,33.3,False,7169,60.9,0
+3587,29,Male,108,61,208,66,94,198,82,4.7,23.8,68,210,Asymptomatic,False,0.3,False,Never,3.5,290,6.3,52.4,True,10419,64.5,0
+3588,63,Male,149,95,181,54,85,217,124,6.1,27.8,82,144,Asymptomatic,False,0.6,False,Current,2.3,241,7.5,57.6,True,5962,56.8,1
+3589,64,Female,136,82,174,68,91,80,111,6.1,21.4,100,125,Asymptomatic,True,1.1,False,Current,1.1,86,5.9,75.1,False,6039,58.6,1
+3590,48,Female,117,70,140,60,73,74,75,4.4,18.2,74,183,Atypical Angina,False,0.4,False,Never,3.6,219,7.2,64.4,False,5651,65.4,0
+3591,28,Male,120,66,159,40,93,139,99,5.8,26.4,89,198,Atypical Angina,False,0.3,False,Current,13.9,98,7.9,42.9,False,7845,19.3,0
+3592,58,Male,139,100,204,49,120,208,162,7.1,35.4,71,147,Asymptomatic,False,0.4,False,Never,9.4,168,6.9,51.4,True,7990,60.9,0
+3593,54,Male,138,86,172,49,112,160,123,6.5,25.7,75,166,Typical Angina,True,1.1,False,Former,2.3,136,7.0,52.4,False,2972,77.5,1
+3594,62,Male,155,98,232,58,123,227,119,5.7,26.2,79,156,Asymptomatic,False,0.8,False,Former,9.6,187,7.5,52.3,True,9274,50.2,0
+3595,44,Male,97,51,212,57,125,141,78,4.4,19.9,87,168,Asymptomatic,False,0.3,False,Current,4.2,146,7.5,46.8,True,7024,46.7,0
+3596,27,Female,109,72,206,52,110,221,75,4.5,22.8,74,196,Typical Angina,False,0.3,True,Never,1.7,184,8.1,52.5,False,7469,22.6,0
+3597,47,Male,121,81,176,54,90,148,120,5.5,15.0,76,154,Asymptomatic,False,1.0,True,Never,3.2,165,6.7,54.9,True,7249,66.4,0
+3598,64,Female,119,71,249,68,142,153,107,5.7,31.7,87,156,Asymptomatic,False,0.5,False,Never,6.5,80,6.8,37.7,False,3450,69.1,0
+3599,68,Female,154,98,184,30,121,223,167,7.0,37.5,74,142,Asymptomatic,False,0.7,False,Never,0.1,98,7.4,71.4,False,7359,57.3,1
+3600,49,Male,129,80,149,38,81,128,117,5.8,24.6,86,148,Non-Anginal Pain,True,1.6,True,Current,2.8,204,6.6,40.5,True,6368,82.1,1
+3601,47,Male,96,64,192,70,90,172,111,5.7,20.7,80,176,Non-Anginal Pain,False,0.5,True,Never,2.2,152,7.1,61.3,True,8874,63.8,0
+3602,31,Female,132,89,162,58,89,155,111,5.6,31.4,88,183,Atypical Angina,False,0.3,False,Never,8.0,61,6.9,35.5,False,2525,36.0,0
+3603,69,Male,122,79,168,65,76,111,109,5.3,16.7,85,171,Asymptomatic,False,0.8,False,Never,3.9,178,6.3,35.0,True,9330,53.5,0
+3604,48,Male,127,72,242,45,157,148,117,5.6,27.4,74,185,Typical Angina,False,0.8,False,Never,6.9,189,6.6,41.7,False,3026,51.1,0
+3605,45,Female,118,50,242,66,148,108,114,5.7,22.4,68,172,Atypical Angina,False,0.5,False,Never,0.0,247,7.1,51.5,True,9989,65.6,0
+3606,42,Male,113,72,194,70,113,97,127,6.3,23.7,84,189,Asymptomatic,False,0.4,False,Former,5.5,127,9.1,32.8,True,9125,67.6,0
+3607,49,Female,135,88,152,66,65,114,120,5.6,18.6,77,193,Atypical Angina,True,0.6,False,Never,9.7,159,7.6,55.7,True,4512,73.2,0
+3608,59,Male,129,90,223,55,125,210,134,6.1,25.4,85,141,Non-Anginal Pain,False,0.7,False,Current,1.7,130,8.0,55.8,False,5224,54.5,1
+3609,49,Male,114,74,187,67,96,35,99,5.2,21.4,63,188,Atypical Angina,False,0.9,False,Never,3.2,251,6.4,18.7,False,3334,54.7,0
+3610,72,Female,133,78,221,64,124,179,135,6.4,29.2,90,127,Typical Angina,False,2.2,True,Never,9.8,0,7.7,46.5,False,4862,60.2,1
+3611,62,Male,123,73,205,45,123,221,102,4.9,23.0,83,184,Asymptomatic,True,1.6,False,Current,8.5,98,8.0,36.3,True,8506,49.2,0
+3612,59,Male,135,80,187,74,85,142,99,5.1,18.0,79,153,Asymptomatic,False,0.7,False,Former,6.8,197,6.8,26.7,False,7625,64.0,0
+3613,71,Female,138,95,236,88,114,155,153,7.2,25.9,85,140,Asymptomatic,False,1.8,True,Former,0.7,99,6.6,57.0,False,3477,72.3,0
+3614,38,Female,125,84,237,74,123,192,118,5.8,26.3,89,160,Asymptomatic,False,0.7,False,Current,9.8,210,8.2,36.1,False,3714,56.7,1
+3615,56,Male,128,93,128,63,35,170,126,5.5,26.6,85,161,Atypical Angina,False,1.5,True,Never,2.4,187,6.1,40.7,True,6755,82.6,0
+3616,64,Female,137,82,173,77,71,69,97,5.3,25.8,78,173,Asymptomatic,False,0.6,False,Never,6.5,184,6.8,30.7,True,7973,71.5,0
+3617,65,Female,133,80,133,48,79,42,82,5.2,25.4,87,158,Asymptomatic,True,1.4,False,Never,0.6,61,5.8,46.9,True,4823,54.6,0
+3618,48,Female,114,67,204,77,117,85,117,5.9,22.6,77,160,Asymptomatic,False,0.3,False,Former,10.0,83,7.4,30.8,False,6461,65.8,0
+3619,38,Female,117,64,213,66,125,117,69,4.7,24.8,74,210,Typical Angina,False,0.4,False,Never,0.3,201,8.2,32.2,False,8846,56.6,0
+3620,30,Female,139,90,165,36,87,169,90,5.1,19.9,84,181,Asymptomatic,False,0.4,False,Current,11.9,128,8.0,76.0,False,9722,42.6,0
+3621,60,Male,142,83,180,54,85,175,98,5.2,21.6,93,134,Asymptomatic,False,2.0,False,Never,10.0,96,6.7,67.8,False,8847,56.2,1
+3622,53,Male,135,86,168,52,67,163,85,5.5,23.3,78,167,Atypical Angina,False,0.6,False,Former,4.9,78,6.6,43.4,True,6997,53.5,0
+3623,52,Female,130,94,215,65,115,170,117,5.9,26.0,79,163,Atypical Angina,False,0.1,True,Former,5.2,44,5.9,23.8,False,6261,35.1,0
+3624,56,Male,108,71,143,35,85,136,127,6.3,22.1,94,154,Asymptomatic,False,0.5,False,Current,3.7,95,6.3,31.8,False,5862,73.0,0
+3625,53,Female,118,88,234,64,139,171,113,5.3,26.8,94,174,Asymptomatic,False,0.9,False,Never,0.5,140,7.9,29.2,False,3778,67.3,0
+3626,47,Male,107,75,154,55,87,97,110,5.2,25.4,82,168,Asymptomatic,False,1.1,False,Never,5.7,64,6.3,61.0,False,2309,70.7,0
+3627,64,Female,146,96,249,67,132,199,101,5.0,19.3,74,147,Atypical Angina,False,0.2,False,Never,10.7,163,5.8,57.1,True,7421,26.6,0
+3628,37,Female,102,54,109,47,44,131,79,4.1,19.5,73,193,Asymptomatic,False,0.9,False,Never,12.1,147,7.4,58.3,False,2180,69.8,0
+3629,39,Female,122,81,198,66,100,110,106,5.2,22.6,71,200,Atypical Angina,True,0.5,False,Former,2.3,228,6.9,55.7,True,6493,48.8,0
+3630,37,Male,126,90,178,37,104,149,118,5.9,27.9,94,179,Non-Anginal Pain,True,0.5,False,Former,1.5,107,5.2,82.2,False,5218,50.8,1
+3631,50,Male,112,82,110,39,71,89,137,6.1,21.5,76,164,Asymptomatic,False,0.0,False,Former,1.7,155,4.9,12.2,True,8656,42.9,0
+3632,62,Male,104,59,191,62,96,178,121,6.4,19.4,73,171,Typical Angina,True,0.9,False,Never,7.9,156,4.5,19.4,False,2986,66.9,1
+3633,44,Male,135,80,157,54,103,38,119,5.7,21.8,73,182,Atypical Angina,False,0.1,False,Former,1.7,222,6.6,78.1,True,12968,56.6,0
+3634,56,Male,107,63,194,57,100,137,153,6.7,25.9,76,167,Atypical Angina,True,1.6,True,Never,12.3,222,5.6,39.2,False,6891,92.4,1
+3635,66,Male,133,78,184,43,101,193,133,6.7,32.1,70,119,Typical Angina,False,1.1,True,Current,1.6,246,7.0,60.0,True,8453,60.6,1
+3636,77,Female,113,70,221,50,143,175,122,5.7,19.2,80,107,Asymptomatic,False,1.3,False,Never,3.8,79,7.7,42.4,False,2965,48.0,0
+3637,65,Female,148,93,169,56,93,179,125,5.9,25.1,94,150,Asymptomatic,False,1.7,False,Current,0.5,202,7.7,23.7,True,7749,55.7,1
+3638,48,Male,113,69,146,52,57,183,131,6.3,33.6,67,167,Atypical Angina,False,2.3,False,Never,3.4,120,6.0,55.7,False,3446,58.6,0
+3639,35,Male,127,81,174,56,99,149,137,6.8,26.4,84,191,Asymptomatic,False,1.2,False,Current,1.9,49,7.1,27.4,False,8841,38.6,0
+3640,22,Male,93,52,168,61,56,235,93,5.2,22.3,83,188,Non-Anginal Pain,False,1.0,True,Former,5.1,123,6.4,44.5,False,7411,64.8,0
+3641,47,Male,135,83,231,68,125,210,109,5.6,27.6,82,175,Asymptomatic,False,0.8,False,Never,6.0,153,7.8,66.7,False,6779,62.4,0
+3642,56,Female,118,58,190,54,122,105,102,5.3,20.1,75,152,Non-Anginal Pain,False,1.6,False,Never,1.9,91,4.2,54.4,False,3964,65.4,1
+3643,48,Female,117,75,198,65,89,135,116,5.7,24.7,75,149,Asymptomatic,False,0.3,False,Former,2.8,202,7.1,34.7,True,8989,67.3,0
+3644,79,Female,116,85,230,58,143,151,113,5.0,23.0,69,150,Asymptomatic,True,0.2,False,Current,5.8,179,7.6,53.0,True,7271,71.9,0
+3645,37,Male,131,68,90,32,35,82,142,6.2,25.3,82,209,Asymptomatic,False,1.5,True,Never,4.0,66,5.4,83.1,False,5723,74.4,0
+3646,46,Male,115,73,137,40,81,107,105,5.2,28.7,78,181,Non-Anginal Pain,False,0.3,False,Never,9.4,129,5.9,41.5,True,5465,52.9,0
+3647,24,Male,129,90,154,62,79,64,91,5.3,25.4,78,195,Asymptomatic,False,1.0,True,Never,2.3,208,7.0,46.9,True,5423,78.7,0
+3648,69,Female,129,86,149,45,68,158,104,5.3,22.2,68,141,Asymptomatic,False,1.0,False,Former,3.2,88,6.7,38.3,False,4090,68.8,0
+3649,46,Female,106,64,137,51,64,170,138,6.1,25.3,84,181,Non-Anginal Pain,True,1.1,False,Never,13.6,220,6.0,34.5,True,7661,67.3,0
+3650,31,Female,129,76,183,66,90,84,121,5.4,28.7,80,196,Asymptomatic,False,0.5,False,Never,12.5,159,5.8,65.3,True,9614,65.2,0
+3651,52,Female,137,87,194,55,88,175,137,6.6,25.0,84,161,Asymptomatic,True,1.2,False,Never,3.2,22,5.6,56.2,False,1574,80.9,0
+3652,73,Female,160,94,193,40,99,198,132,5.7,36.3,76,141,Asymptomatic,False,0.6,False,Former,3.3,95,6.5,49.9,False,4229,67.6,0
+3653,80,Female,137,78,140,47,62,172,163,7.0,23.6,79,130,Atypical Angina,False,0.1,False,Never,3.1,119,7.2,40.6,True,5994,77.8,1
+3654,51,Male,125,89,217,58,121,144,116,5.4,34.0,77,159,Atypical Angina,True,5.1,True,Current,4.9,154,6.1,48.7,True,6997,34.6,1
+3655,62,Female,144,89,143,64,78,35,117,6.2,23.3,91,147,Non-Anginal Pain,False,1.0,True,Never,3.1,122,5.6,41.5,False,4675,61.1,0
+3656,48,Female,116,88,210,59,115,153,132,5.7,21.7,89,196,Asymptomatic,True,0.4,False,Never,4.5,145,6.1,53.4,True,6752,66.8,0
+3657,51,Female,122,77,172,49,99,106,96,5.2,26.0,72,168,Atypical Angina,False,1.0,False,Never,0.8,195,6.6,63.3,True,9399,61.2,0
+3658,47,Male,148,88,192,58,93,107,91,4.5,23.1,70,185,Non-Anginal Pain,False,0.5,True,Never,4.7,268,7.1,63.9,True,9214,66.3,0
+3659,74,Male,133,74,157,24,107,158,139,6.7,23.0,92,147,Asymptomatic,False,0.5,False,Current,1.8,50,6.2,61.2,False,6473,37.8,1
+3660,45,Male,114,91,187,32,114,154,106,5.4,20.8,77,181,Asymptomatic,False,1.1,False,Never,2.6,166,6.7,45.5,False,6839,55.2,0
+3661,28,Male,131,81,161,43,83,200,111,5.7,28.4,84,209,Atypical Angina,False,2.3,False,Never,15.9,93,7.3,48.7,False,5127,38.3,0
+3662,39,Female,143,91,202,45,134,217,131,6.4,32.0,76,190,Atypical Angina,False,0.2,True,Current,3.8,153,8.4,49.7,False,5124,46.3,0
+3663,46,Female,112,71,278,74,166,171,149,6.7,26.9,90,185,Non-Anginal Pain,False,3.9,True,Never,3.5,199,9.1,64.4,False,3863,72.8,0
+3664,56,Male,128,84,244,36,154,208,91,5.2,29.3,84,136,Atypical Angina,False,1.2,True,Never,1.6,171,10.8,62.1,False,5835,56.8,1
+3665,47,Female,144,87,183,49,100,134,154,7.0,26.8,69,174,Atypical Angina,False,0.2,False,Former,4.2,231,5.9,18.5,False,6793,50.9,0
+3666,56,Female,108,73,167,62,85,105,115,5.6,20.0,94,161,Asymptomatic,False,0.7,False,Never,2.8,119,7.3,35.0,True,6880,68.1,0
+3667,57,Female,145,101,155,47,84,171,129,6.2,27.3,71,163,Atypical Angina,False,0.3,False,Former,5.5,116,7.6,43.5,False,4565,59.5,0
+3668,49,Male,122,72,171,53,78,246,117,5.8,19.8,83,182,Asymptomatic,True,6.0,False,Current,8.2,108,6.6,55.3,False,3658,62.1,1
+3669,63,Male,106,65,115,53,48,121,85,4.6,17.3,65,143,Non-Anginal Pain,False,0.2,True,Current,20.2,105,5.8,17.3,True,6462,63.3,0
+3670,42,Female,114,71,258,53,154,191,134,6.8,33.5,82,203,Asymptomatic,False,0.3,False,Former,0.8,98,8.3,42.4,False,4434,64.0,0
+3671,41,Male,122,70,154,58,82,125,133,5.7,25.6,75,164,Typical Angina,True,0.6,False,Never,5.6,192,7.8,51.9,True,6181,79.2,1
+3672,66,Female,156,93,227,60,136,95,123,5.8,35.0,81,165,Atypical Angina,True,0.7,False,Former,2.7,81,5.7,83.7,False,8793,90.4,0
+3673,55,Male,127,92,207,61,120,124,80,5.0,19.7,81,185,Non-Anginal Pain,False,2.0,False,Current,8.8,100,7.2,56.5,False,5268,84.5,0
+3674,18,Female,120,78,225,88,122,148,100,5.4,25.3,66,210,Asymptomatic,False,0.8,False,Former,8.3,190,7.5,43.3,True,12865,46.7,0
+3675,48,Male,124,100,191,60,122,96,79,5.0,24.6,73,180,Atypical Angina,False,1.0,True,Never,7.3,298,9.5,39.3,True,7428,65.6,0
+3676,61,Male,114,84,207,42,126,208,110,5.2,18.5,83,158,Asymptomatic,False,0.5,False,Current,6.1,212,5.7,56.6,True,5288,45.7,1
+3677,73,Female,172,100,277,81,165,197,113,5.5,31.5,76,145,Non-Anginal Pain,False,0.5,False,Former,3.2,117,5.9,59.4,False,6595,54.8,0
+3678,63,Female,118,76,164,55,91,100,139,6.4,19.2,80,149,Atypical Angina,True,0.8,True,Never,10.0,77,8.9,25.5,False,3111,36.1,1
+3679,58,Male,136,88,224,51,127,197,169,6.8,26.9,81,166,Asymptomatic,False,0.9,True,Never,3.7,87,6.5,33.8,False,5391,75.2,0
+3680,67,Male,116,87,167,68,80,67,73,4.0,15.0,77,158,Asymptomatic,False,1.1,False,Never,6.8,255,6.6,62.6,True,13419,94.3,0
+3681,67,Male,140,77,206,53,130,187,101,5.4,24.6,75,125,Asymptomatic,True,2.6,False,Former,4.8,244,4.3,30.3,True,10941,52.4,1
+3682,69,Male,154,95,200,39,146,54,95,5.2,28.6,75,108,Atypical Angina,False,2.4,False,Never,8.6,166,7.0,53.0,False,2258,43.0,1
+3683,39,Female,110,56,193,68,95,162,121,5.3,19.2,65,185,Non-Anginal Pain,False,1.0,True,Former,9.3,274,7.6,33.3,True,8602,67.4,0
+3684,53,Male,112,75,174,57,102,35,136,6.0,20.5,70,189,Asymptomatic,False,0.6,False,Never,7.7,167,6.8,48.7,True,4473,79.2,0
+3685,34,Male,125,75,226,55,125,192,117,5.8,26.1,92,174,Asymptomatic,True,0.1,True,Former,6.2,80,7.2,89.5,False,7133,50.7,1
+3686,68,Female,135,92,166,53,85,148,161,7.4,28.1,94,150,Atypical Angina,False,0.3,False,Never,4.4,55,6.6,41.7,True,5948,57.7,0
+3687,45,Male,103,70,147,62,66,115,123,5.9,19.0,97,185,Non-Anginal Pain,True,3.0,False,Never,4.6,196,7.1,3.1,False,2838,78.5,0
+3688,41,Male,108,71,165,70,78,112,103,5.1,22.1,71,190,Typical Angina,False,0.7,False,Never,10.9,72,4.9,22.3,False,3778,58.1,0
+3689,77,Male,125,80,225,59,132,184,135,6.3,31.8,73,129,Atypical Angina,False,0.4,False,Never,9.2,97,4.7,56.4,False,3177,48.7,1
+3690,40,Male,127,88,178,62,79,156,78,5.0,21.2,85,183,Asymptomatic,False,1.5,False,Never,2.4,209,7.9,48.3,True,10811,61.3,0
+3691,49,Female,126,79,231,42,157,108,119,5.7,29.3,92,169,Non-Anginal Pain,False,1.8,False,Current,1.5,145,7.8,73.8,False,5616,45.1,0
+3692,54,Female,138,94,178,29,111,168,133,6.3,32.3,76,143,Typical Angina,False,0.1,False,Current,4.2,17,6.4,72.3,False,3859,31.5,1
+3693,51,Male,124,68,249,44,157,159,156,7.0,31.7,81,164,Asymptomatic,True,3.5,False,Never,18.7,91,7.5,47.8,True,6344,69.6,1
+3694,68,Female,139,85,160,54,86,78,150,6.7,27.6,87,159,Typical Angina,False,0.2,False,Former,8.2,177,6.7,35.5,True,7171,73.9,0
+3695,62,Male,138,96,229,60,139,127,120,5.9,30.0,81,171,Non-Anginal Pain,False,0.7,False,Former,1.9,227,6.9,40.1,True,9014,76.3,0
+3696,41,Female,136,81,137,62,58,67,128,5.7,24.6,82,177,Asymptomatic,False,0.7,False,Never,6.1,199,6.4,57.3,False,4908,87.8,0
+3697,64,Male,132,75,174,54,105,116,102,5.5,29.5,83,151,Non-Anginal Pain,False,0.9,False,Never,10.1,30,8.0,51.5,False,1902,60.3,0
+3698,50,Female,106,67,212,69,111,112,111,5.2,17.2,74,160,Typical Angina,False,0.5,False,Former,5.1,91,6.6,31.6,False,8203,63.3,0
+3699,46,Female,110,60,210,58,130,145,86,4.7,21.1,86,178,Atypical Angina,False,0.2,False,Current,0.4,142,7.2,34.9,True,9501,63.2,0
+3700,61,Male,141,97,228,48,153,120,128,5.9,32.7,91,147,Asymptomatic,True,0.2,False,Never,1.6,93,6.6,32.3,False,7637,52.8,1
+3701,59,Male,156,98,190,26,99,317,79,5.0,36.5,84,146,Typical Angina,False,3.3,False,Never,9.4,72,6.5,43.7,False,1085,78.1,1
+3702,55,Female,103,61,231,64,121,194,136,6.1,25.8,84,145,Atypical Angina,True,1.8,False,Former,3.5,115,7.5,24.7,True,6478,42.0,1
+3703,43,Male,129,72,193,32,125,163,108,5.6,29.2,76,176,Asymptomatic,True,0.7,False,Never,1.8,117,7.7,45.0,False,6496,33.9,0
+3704,55,Female,122,81,167,79,60,146,142,6.3,21.4,75,190,Non-Anginal Pain,False,1.2,False,Never,2.8,136,5.6,46.4,True,6598,66.2,0
+3705,38,Male,116,76,225,57,124,240,104,5.3,26.6,56,176,Non-Anginal Pain,False,0.0,False,Current,12.2,181,7.2,39.0,True,5787,62.1,0
+3706,63,Male,139,97,212,55,101,224,141,6.8,32.7,100,156,Asymptomatic,False,1.4,False,Current,14.2,32,5.2,40.9,True,8751,38.8,0
+3707,50,Female,153,106,171,55,91,116,131,6.3,26.4,84,147,Asymptomatic,True,1.2,False,Former,12.1,129,6.9,41.1,True,6724,71.8,1
+3708,52,Male,106,65,240,61,155,100,105,5.8,22.0,72,161,Non-Anginal Pain,False,0.3,False,Never,1.5,253,6.9,45.3,True,7972,56.9,0
+3709,62,Male,135,74,180,68,88,122,160,6.5,26.8,91,163,Asymptomatic,True,0.7,False,Never,2.0,160,5.9,73.8,True,5282,53.3,1
+3710,51,Female,126,74,180,69,106,46,101,5.6,25.1,75,164,Asymptomatic,False,0.5,True,Never,4.9,177,6.5,34.1,True,8131,61.0,0
+3711,60,Female,128,78,172,51,96,203,128,5.7,23.4,69,144,Typical Angina,True,0.2,True,Former,12.1,151,6.7,66.0,True,6985,44.9,1
+3712,44,Female,125,81,177,64,92,60,95,5.0,15.0,92,161,Atypical Angina,False,1.0,False,Current,17.0,227,7.9,34.8,True,8689,59.3,1
+3713,57,Female,117,78,218,82,85,218,121,5.6,27.8,87,169,Asymptomatic,False,1.2,False,Former,2.3,112,6.5,51.4,True,2426,48.1,0
+3714,65,Male,146,94,229,67,122,230,148,6.0,25.6,74,170,Atypical Angina,False,0.2,False,Former,3.3,244,6.5,40.5,True,7444,63.8,0
+3715,30,Female,127,92,147,64,64,98,94,5.2,22.7,82,193,Asymptomatic,False,0.8,True,Former,4.4,213,4.9,3.0,True,7508,62.1,0
+3716,48,Female,135,91,232,48,158,165,96,5.1,24.4,72,175,Atypical Angina,False,1.0,False,Current,4.7,145,4.9,28.5,False,5646,63.2,0
+3717,55,Female,128,103,199,73,93,176,118,6.0,24.0,73,149,Asymptomatic,False,0.1,False,Never,2.2,85,6.8,73.3,False,4328,51.7,0
+3718,51,Male,134,89,199,42,136,145,114,5.4,23.8,74,163,Atypical Angina,False,0.1,False,Never,2.5,199,5.9,35.3,True,8559,78.1,0
+3719,59,Female,135,96,160,50,90,51,120,5.8,22.1,85,156,Non-Anginal Pain,False,0.0,False,Former,4.3,144,7.7,42.2,False,4577,50.9,0
+3720,68,Female,124,72,240,59,136,136,94,5.2,27.7,79,167,Asymptomatic,False,1.3,False,Never,0.7,1,6.6,47.4,False,3628,56.5,0
+3721,55,Male,129,90,189,36,89,254,151,6.3,26.1,79,149,Typical Angina,True,0.7,False,Current,9.2,167,6.2,35.7,True,6708,58.7,1
+3722,59,Female,132,87,168,62,65,191,121,5.9,15.2,71,162,Typical Angina,False,0.9,False,Never,4.5,198,5.9,48.4,True,4295,66.8,0
+3723,59,Male,136,83,224,71,127,133,103,5.9,22.8,81,169,Typical Angina,False,0.1,False,Former,1.6,107,7.4,42.5,False,9460,31.0,0
+3724,66,Male,137,82,209,43,123,155,119,5.7,24.4,78,155,Asymptomatic,True,1.4,False,Never,17.7,98,6.7,45.4,True,9210,30.7,0
+3725,63,Female,146,93,173,40,91,189,168,7.4,32.5,85,108,Asymptomatic,True,1.2,False,Never,4.9,84,7.9,46.7,True,5887,27.4,1
+3726,73,Female,169,109,162,81,54,158,92,5.0,23.9,84,147,Non-Anginal Pain,False,0.1,False,Never,9.2,174,7.2,47.8,False,6069,64.3,0
+3727,68,Female,136,80,216,65,123,111,125,5.9,26.4,83,119,Atypical Angina,True,0.4,False,Never,6.4,90,7.6,52.6,False,4841,70.3,1
+3728,46,Female,122,76,185,66,81,148,88,4.7,25.2,59,179,Asymptomatic,False,1.2,True,Never,2.5,220,4.7,51.9,True,6454,62.6,0
+3729,57,Female,147,99,230,55,141,206,129,6.4,25.8,84,169,Non-Anginal Pain,False,0.7,False,Never,0.8,0,8.5,53.8,False,5397,34.4,0
+3730,66,Male,147,86,176,35,93,184,142,6.8,23.8,87,132,Asymptomatic,True,3.0,False,Never,3.9,40,7.2,55.2,False,4972,62.6,1
+3731,55,Female,130,78,146,47,77,183,114,4.9,29.8,69,172,Non-Anginal Pain,False,0.5,False,Former,2.3,196,7.6,58.3,False,5188,72.4,0
+3732,18,Female,107,70,194,50,111,149,78,4.3,21.6,107,202,Asymptomatic,False,0.2,False,Current,3.8,27,6.1,39.4,False,3670,49.7,0
+3733,77,Female,151,99,201,54,105,192,135,6.1,31.8,90,115,Non-Anginal Pain,True,0.7,False,Never,11.7,75,6.7,82.6,False,3041,31.1,1
+3734,59,Male,130,86,165,54,90,57,110,5.2,16.2,63,171,Non-Anginal Pain,False,3.5,False,Current,7.2,216,9.0,28.9,True,7648,42.6,1
+3735,57,Male,129,86,208,49,116,217,116,6.0,30.3,77,138,Atypical Angina,False,1.8,False,Never,11.5,95,7.1,50.5,False,7167,82.9,1
+3736,58,Female,108,68,147,63,75,79,93,5.2,20.8,93,186,Non-Anginal Pain,False,0.8,False,Current,3.2,170,6.6,62.6,False,6617,59.1,0
+3737,43,Female,159,99,166,54,96,61,141,6.7,24.7,81,154,Atypical Angina,True,0.5,False,Former,9.4,38,7.1,60.3,False,5533,75.9,1
+3738,54,Male,127,71,222,55,157,72,102,5.3,19.3,77,174,Asymptomatic,False,0.7,False,Never,4.3,128,9.1,70.2,True,8592,61.2,0
+3739,49,Male,129,75,198,34,110,267,142,6.4,33.2,86,184,Asymptomatic,False,1.5,False,Never,2.5,129,7.9,49.9,True,8580,48.2,0
+3740,43,Female,118,69,151,69,54,134,146,5.9,20.5,82,176,Non-Anginal Pain,False,0.6,False,Former,15.3,154,6.0,58.5,False,5261,77.9,0
+3741,56,Female,122,68,201,64,98,214,131,6.1,21.1,67,187,Asymptomatic,False,0.0,False,Never,9.2,228,6.7,24.3,True,9638,78.8,0
+3742,59,Female,118,72,166,51,109,107,82,4.7,20.8,86,154,Typical Angina,False,1.7,False,Current,9.2,176,5.8,33.0,False,4637,40.0,1
+3743,68,Male,138,88,193,55,102,182,116,6.0,27.2,66,138,Asymptomatic,False,0.1,False,Former,4.6,188,8.0,15.0,False,4571,68.3,0
+3744,57,Female,143,99,185,67,75,162,94,4.9,23.9,78,148,Atypical Angina,False,0.2,True,Former,8.1,194,8.1,49.9,True,8852,60.2,0
+3745,52,Male,137,92,191,56,87,195,110,5.9,26.4,84,152,Asymptomatic,False,0.7,False,Current,4.2,190,7.7,50.3,True,3943,44.3,0
+3746,61,Male,135,91,148,46,84,132,121,5.8,28.7,77,179,Non-Anginal Pain,False,0.8,True,Former,10.5,132,5.8,34.2,True,7639,74.9,0
+3747,68,Female,135,102,159,53,74,165,102,4.9,27.9,75,147,Non-Anginal Pain,True,0.8,True,Former,1.9,93,7.2,35.4,False,1508,51.4,1
+3748,67,Male,130,82,173,39,114,143,110,5.1,21.8,87,122,Non-Anginal Pain,False,0.4,False,Never,6.2,29,6.3,59.6,True,5551,47.6,1
+3749,51,Female,118,64,191,52,93,173,149,6.6,27.2,87,180,Atypical Angina,False,0.2,False,Never,3.5,72,6.9,60.8,False,5140,66.0,0
+3750,55,Female,148,91,149,43,80,70,125,6.4,20.9,74,161,Non-Anginal Pain,False,0.4,True,Never,5.1,60,6.6,49.0,True,7190,62.1,0
+3751,50,Female,149,86,148,59,65,148,113,5.9,26.7,78,170,Atypical Angina,False,0.8,False,Never,4.6,152,5.8,77.9,False,8010,49.7,0
+3752,82,Male,146,95,192,75,91,108,124,6.2,25.4,73,159,Asymptomatic,False,0.9,False,Never,3.2,154,7.4,46.3,False,5037,79.5,0
+3753,67,Female,123,81,164,72,75,114,134,5.9,21.7,87,148,Non-Anginal Pain,False,1.0,False,Never,1.0,200,8.9,45.1,False,6672,86.7,0
+3754,70,Male,127,89,135,49,53,145,123,5.8,29.1,94,159,Atypical Angina,False,0.7,False,Former,7.6,52,5.8,41.7,True,6764,76.4,0
+3755,41,Female,124,79,173,55,90,174,110,5.7,27.2,73,167,Asymptomatic,False,2.4,True,Never,1.2,184,7.6,46.5,True,5331,55.7,0
+3756,59,Female,98,74,228,59,137,171,148,6.5,22.3,70,166,Non-Anginal Pain,True,0.2,False,Never,10.3,261,7.1,52.5,True,10917,48.3,0
+3757,72,Male,129,91,148,38,75,138,137,5.8,21.3,80,142,Typical Angina,False,2.0,False,Never,8.2,139,5.1,49.7,False,4999,40.9,1
+3758,38,Male,122,80,217,32,130,197,107,5.6,31.6,72,166,Typical Angina,True,1.8,False,Never,6.5,67,7.7,48.1,True,8949,44.6,1
+3759,53,Female,118,66,173,67,68,216,162,6.9,21.2,95,159,Non-Anginal Pain,True,0.2,False,Current,8.6,59,8.4,73.1,True,7106,51.7,0
+3760,29,Male,109,80,211,56,140,114,135,6.1,29.7,78,204,Asymptomatic,False,0.2,False,Former,1.7,253,5.5,19.2,False,7717,38.0,0
+3761,90,Male,144,93,165,28,94,133,141,6.4,28.8,81,93,Typical Angina,True,0.3,True,Former,12.4,44,7.1,70.3,False,500,26.4,1
+3762,57,Female,104,71,165,49,79,179,136,5.9,24.0,81,177,Atypical Angina,False,0.3,False,Former,2.4,290,4.3,51.6,False,8514,71.1,0
+3763,48,Male,133,80,141,23,105,125,115,5.2,28.2,88,143,Asymptomatic,False,0.2,False,Current,9.1,56,8.1,75.6,False,5759,73.0,1
+3764,66,Male,146,93,213,46,142,159,112,5.8,28.6,91,150,Asymptomatic,False,3.4,True,Current,4.1,164,7.0,48.9,False,6880,81.0,1
+3765,49,Male,130,84,188,58,104,137,139,6.3,22.7,76,165,Atypical Angina,False,1.7,False,Never,5.3,68,9.2,30.7,True,7926,83.5,0
+3766,63,Male,134,81,153,40,105,82,102,5.6,21.1,53,179,Non-Anginal Pain,False,0.4,False,Former,3.7,211,6.7,56.9,True,5426,58.7,0
+3767,48,Male,115,69,176,41,110,146,161,6.7,21.6,85,147,Asymptomatic,True,2.1,False,Current,6.5,153,8.7,71.0,False,5496,57.1,1
+3768,69,Male,129,85,162,67,83,83,142,6.1,27.3,68,148,Asymptomatic,False,0.4,False,Former,4.7,276,6.1,32.2,True,7674,60.0,0
+3769,46,Female,139,77,211,60,117,155,99,5.9,30.8,83,147,Typical Angina,True,1.7,True,Never,1.5,44,6.7,45.4,False,4096,32.4,1
+3770,56,Male,133,79,165,45,91,96,102,5.4,22.8,73,184,Atypical Angina,False,1.1,False,Never,16.3,187,8.7,41.4,False,3923,57.0,0
+3771,41,Female,112,72,227,67,135,160,145,6.1,20.8,86,200,Asymptomatic,False,0.8,False,Never,7.1,127,7.2,37.9,True,6054,44.6,0
+3772,56,Male,125,76,161,43,87,157,141,6.4,30.6,73,143,Non-Anginal Pain,True,0.9,False,Never,3.5,203,5.5,45.4,True,7722,63.3,1
+3773,53,Male,136,87,181,61,99,124,111,5.4,24.2,81,173,Asymptomatic,False,0.4,False,Never,2.6,140,5.6,62.8,True,4780,63.1,0
+3774,38,Male,120,74,151,53,67,185,129,5.8,24.7,81,203,Non-Anginal Pain,False,1.7,True,Never,2.4,177,8.3,29.7,True,5483,66.8,0
+3775,78,Female,163,107,167,56,77,233,122,5.8,31.6,82,119,Non-Anginal Pain,True,2.4,True,Current,8.5,103,8.7,52.7,False,3727,49.5,1
+3776,52,Female,138,93,189,62,74,167,130,5.6,25.1,85,175,Typical Angina,False,1.3,False,Never,2.8,80,8.9,63.5,True,5006,58.6,1
+3777,54,Female,117,78,255,53,166,132,138,6.9,26.2,77,159,Asymptomatic,True,0.1,False,Current,15.2,259,6.8,19.6,True,8343,40.5,1
+3778,66,Female,131,74,234,59,160,91,101,5.5,26.2,85,144,Non-Anginal Pain,True,1.6,False,Never,2.9,48,7.2,48.7,False,3611,39.5,1
+3779,42,Female,110,75,145,55,64,146,96,5.5,24.7,48,181,Asymptomatic,True,1.6,False,Never,2.3,200,6.6,22.7,False,6839,66.7,0
+3780,40,Female,137,88,235,57,140,204,80,4.7,28.3,77,179,Asymptomatic,False,0.8,False,Never,5.2,123,6.3,15.9,False,3192,61.4,0
+3781,46,Male,134,85,188,54,106,177,107,5.6,22.7,93,186,Atypical Angina,True,0.1,False,Former,5.1,148,6.7,49.6,True,10463,36.9,0
+3782,68,Male,135,84,197,62,107,112,102,5.2,30.8,64,135,Atypical Angina,True,1.6,True,Former,2.3,206,5.7,9.1,False,4232,67.0,1
+3783,42,Female,103,70,174,57,95,81,163,6.7,24.2,88,167,Non-Anginal Pain,False,0.4,False,Former,1.1,43,6.2,67.0,False,3442,62.6,0
+3784,88,Male,157,98,197,69,96,174,149,6.9,26.4,79,117,Atypical Angina,True,0.5,False,Never,1.8,91,5.3,48.7,True,8294,39.8,1
+3785,58,Male,103,62,193,68,111,61,111,5.4,24.1,79,170,Asymptomatic,False,0.5,False,Former,6.5,230,7.8,62.4,True,8464,66.9,0
+3786,59,Male,106,63,200,52,109,197,102,4.8,19.8,89,166,Non-Anginal Pain,False,1.1,False,Current,8.9,140,7.4,34.6,True,6800,52.9,0
+3787,61,Female,117,67,191,65,94,118,104,5.9,19.0,73,171,Asymptomatic,True,1.0,False,Never,3.9,156,6.5,60.4,True,4991,50.6,0
+3788,46,Male,107,61,236,39,132,207,143,6.7,27.7,77,146,Atypical Angina,True,0.1,False,Former,4.0,114,8.2,36.6,False,7442,13.1,1
+3789,54,Male,162,99,184,50,105,139,128,5.9,26.9,93,184,Asymptomatic,False,1.1,False,Never,13.2,60,5.9,71.9,True,4581,62.8,0
+3790,47,Female,105,85,236,72,124,157,113,5.8,16.5,70,199,Non-Anginal Pain,False,1.2,False,Former,2.3,198,7.2,55.5,True,8912,49.5,0
+3791,53,Male,123,78,119,57,50,132,107,5.1,22.6,85,159,Asymptomatic,False,0.2,False,Never,3.7,93,6.8,57.2,True,9004,68.6,0
+3792,51,Female,120,76,216,77,110,139,86,4.7,19.9,65,173,Non-Anginal Pain,False,1.2,False,Never,2.4,141,7.4,29.5,False,4102,65.1,0
+3793,73,Female,138,99,136,46,53,212,134,5.7,25.1,90,158,Typical Angina,False,0.1,False,Former,15.0,85,7.0,48.1,False,6444,65.3,0
+3794,57,Male,124,69,163,34,123,50,132,5.7,30.3,86,153,Non-Anginal Pain,True,3.2,True,Current,2.1,122,6.3,58.6,True,9265,85.5,1
+3795,55,Female,132,70,210,61,110,192,179,7.4,36.3,67,158,Asymptomatic,False,0.8,False,Never,6.1,126,9.2,35.3,False,4047,64.8,0
+3796,52,Female,137,94,161,57,82,158,121,6.0,31.9,84,187,Asymptomatic,False,0.2,True,Current,5.6,137,5.2,45.7,False,8050,52.6,0
+3797,45,Male,124,79,177,50,93,134,120,5.8,29.9,72,174,Non-Anginal Pain,False,1.8,False,Never,1.6,192,5.2,19.0,True,7945,70.7,1
+3798,43,Male,131,68,201,68,116,113,113,5.4,23.9,69,172,Non-Anginal Pain,False,0.7,True,Never,2.2,228,6.6,29.4,True,8441,60.9,0
+3799,52,Male,120,84,144,53,67,110,114,6.4,24.7,75,176,Non-Anginal Pain,False,2.3,False,Never,2.9,154,8.0,34.6,True,5179,61.0,0
+3800,71,Female,121,66,166,50,105,70,157,7.0,26.5,72,132,Asymptomatic,False,0.9,True,Current,0.4,176,7.2,43.2,True,8988,33.4,0
+3801,61,Female,118,73,218,73,136,151,145,6.9,29.4,72,137,Non-Anginal Pain,False,1.3,False,Never,9.4,72,7.3,42.6,False,5091,39.2,0
+3802,47,Male,143,85,166,36,88,222,111,6.1,40.2,83,160,Asymptomatic,True,1.6,True,Former,3.9,27,6.0,28.6,False,4271,54.8,0
+3803,44,Male,137,80,243,73,135,153,118,6.0,24.7,80,180,Asymptomatic,False,0.3,True,Current,23.9,200,7.1,69.9,True,5379,76.9,0
+3804,51,Female,140,93,198,48,109,201,104,5.6,25.6,88,165,Asymptomatic,False,1.0,False,Former,0.9,63,7.0,62.2,False,4154,60.3,0
+3805,68,Female,118,86,245,62,158,71,119,5.3,30.8,84,134,Non-Anginal Pain,True,3.9,True,Never,1.3,107,5.5,62.8,True,7372,60.4,1
+3806,67,Female,139,90,161,43,78,198,152,6.2,28.1,95,153,Asymptomatic,False,0.4,False,Current,0.4,150,5.4,32.4,False,3887,68.6,0
+3807,49,Male,158,111,113,55,39,119,144,6.6,26.3,77,170,Asymptomatic,False,0.4,True,Former,4.3,100,7.5,57.7,False,5374,92.0,0
+3808,47,Female,121,82,200,69,96,118,108,5.2,19.9,71,182,Atypical Angina,False,0.8,False,Never,0.2,231,5.8,60.3,True,9539,64.9,0
+3809,61,Female,131,77,200,43,137,184,80,4.6,28.4,95,154,Asymptomatic,False,0.2,False,Never,12.8,238,7.0,31.0,False,3499,64.7,0
+3810,45,Female,114,67,191,68,103,152,129,5.8,18.5,72,191,Atypical Angina,False,0.7,False,Never,2.7,191,8.9,49.1,True,8107,65.7,0
+3811,51,Male,118,74,200,33,151,144,131,6.3,27.4,93,169,Asymptomatic,True,0.0,True,Current,9.5,193,4.8,43.5,True,8993,59.8,1
+3812,75,Male,133,74,162,53,73,158,170,7.2,23.2,88,170,Typical Angina,False,1.6,False,Former,1.7,106,8.0,59.0,True,6996,57.5,0
+3813,46,Female,111,67,174,68,58,190,149,7.0,15.9,81,189,Asymptomatic,False,0.3,True,Former,17.0,238,6.9,35.9,False,6463,63.0,0
+3814,56,Female,122,70,205,62,128,89,155,6.6,28.6,84,174,Typical Angina,False,1.1,False,Current,2.2,16,6.3,59.6,False,4344,62.3,0
+3815,54,Male,143,81,131,55,67,35,153,6.7,20.2,71,176,Non-Anginal Pain,False,0.2,False,Never,9.3,204,6.5,1.6,True,10806,63.5,0
+3816,66,Female,126,68,211,62,105,173,105,6.3,30.3,75,167,Non-Anginal Pain,False,0.5,False,Never,12.9,89,7.2,50.6,True,12798,69.9,0
+3817,58,Male,164,101,232,68,159,37,133,6.1,25.2,76,168,Typical Angina,True,3.6,True,Never,6.0,143,7.2,53.5,True,6415,76.3,1
+3818,36,Male,145,89,216,54,123,146,119,6.1,26.8,100,197,Asymptomatic,False,1.1,False,Current,2.6,115,6.8,41.6,True,3899,50.7,0
+3819,41,Female,101,59,180,58,97,111,127,5.6,22.6,81,188,Asymptomatic,False,0.3,False,Never,0.3,165,7.4,46.8,False,8507,66.0,0
+3820,61,Male,138,81,235,34,152,208,115,5.4,32.9,85,146,Asymptomatic,True,0.7,False,Former,2.5,180,5.9,53.3,True,9378,42.7,1
+3821,54,Male,135,90,183,48,108,148,145,6.3,25.8,68,159,Asymptomatic,False,1.0,False,Never,2.1,105,6.8,58.6,False,4006,75.3,0
+3822,48,Female,127,87,182,34,132,147,139,6.2,32.3,94,139,Non-Anginal Pain,False,0.3,False,Never,1.6,76,6.0,59.4,False,4615,47.1,1
+3823,37,Female,111,87,168,71,77,71,125,5.8,20.9,75,195,Asymptomatic,False,0.6,False,Never,0.6,211,5.9,39.3,True,5947,57.4,0
+3824,58,Male,163,109,257,55,137,264,134,6.2,30.8,83,139,Atypical Angina,True,1.8,True,Never,4.0,97,7.1,32.5,False,4345,21.4,1
+3825,48,Male,135,83,238,67,126,144,184,7.5,29.5,73,178,Non-Anginal Pain,False,1.6,False,Current,2.5,105,8.1,39.3,False,5872,55.8,0
+3826,63,Female,133,74,187,40,115,142,125,5.7,26.7,69,185,Atypical Angina,False,0.0,False,Former,8.4,138,5.5,63.6,True,6125,60.2,0
+3827,58,Female,137,83,236,80,102,253,76,5.0,26.2,81,152,Typical Angina,True,2.3,False,Never,17.0,297,6.3,38.0,True,6317,51.8,0
+3828,43,Male,110,67,185,37,105,156,140,6.9,31.9,71,173,Atypical Angina,False,4.7,True,Never,2.5,67,5.4,12.5,False,9256,44.9,1
+3829,38,Female,114,67,205,69,100,151,60,4.0,19.1,77,184,Atypical Angina,False,0.6,False,Former,8.1,191,7.8,50.2,True,6961,52.7,0
+3830,47,Male,126,71,197,43,101,250,150,6.5,32.7,96,136,Atypical Angina,False,0.4,True,Never,2.8,56,7.1,38.0,False,3659,46.5,1
+3831,59,Female,128,77,190,61,130,35,85,5.4,20.7,74,179,Asymptomatic,False,2.2,False,Current,1.1,238,6.5,47.1,False,6065,44.1,0
+3832,63,Male,134,87,181,61,106,120,140,6.5,29.1,71,175,Non-Anginal Pain,False,0.3,True,Former,1.8,182,6.9,39.1,True,7589,77.1,0
+3833,29,Female,128,80,233,70,118,170,97,5.0,27.0,66,195,Asymptomatic,False,0.4,False,Former,13.6,163,5.2,54.7,False,7914,61.9,0
+3834,72,Male,126,97,150,49,73,176,143,6.4,23.2,85,140,Asymptomatic,True,2.5,True,Never,11.8,165,7.9,56.0,True,8299,84.3,1
+3835,57,Male,121,78,200,55,136,111,153,6.0,27.9,97,159,Atypical Angina,False,1.7,False,Current,7.0,1,5.6,22.2,True,6187,40.4,1
+3836,50,Male,111,82,199,57,128,125,102,5.4,21.0,69,171,Asymptomatic,False,1.8,False,Never,14.2,243,4.7,33.9,True,6798,39.7,0
+3837,29,Male,128,82,166,50,100,135,113,5.9,24.5,86,204,Non-Anginal Pain,False,1.0,False,Former,17.7,114,7.4,59.9,False,6344,58.3,0
+3838,41,Female,122,73,185,61,87,145,105,6.2,30.0,77,156,Asymptomatic,True,1.9,True,Current,11.0,117,5.3,26.2,False,4182,52.4,1
+3839,69,Female,140,85,182,55,101,129,114,5.4,24.5,80,158,Asymptomatic,True,1.0,False,Former,0.2,160,8.3,33.8,True,10796,48.5,0
+3840,55,Female,122,84,182,61,97,194,113,5.3,26.2,88,148,Typical Angina,False,0.6,False,Current,0.6,256,8.3,47.4,True,6513,35.5,1
+3841,55,Male,116,63,163,47,100,162,89,4.8,18.8,76,160,Asymptomatic,False,0.8,False,Never,3.2,232,7.1,19.5,True,3808,31.7,0
+3842,50,Female,144,98,137,18,109,125,129,5.2,27.9,82,160,Asymptomatic,True,5.1,False,Current,1.6,151,6.2,52.6,False,3181,63.0,1
+3843,48,Male,137,82,219,49,145,124,97,5.6,22.3,77,180,Asymptomatic,False,1.2,False,Never,4.2,184,5.5,36.5,False,10789,72.0,0
+3844,50,Female,152,113,297,67,158,271,113,5.6,24.5,76,165,Asymptomatic,False,0.8,False,Never,9.1,182,6.8,53.0,False,5721,58.8,0
+3845,65,Male,128,79,201,54,95,226,104,5.7,21.3,88,173,Non-Anginal Pain,False,0.2,False,Never,7.4,105,7.0,60.5,True,5962,78.4,0
+3846,65,Male,116,79,216,55,117,151,147,6.7,29.4,80,167,Atypical Angina,False,0.5,False,Current,2.6,108,5.7,73.3,True,10111,37.6,0
+3847,62,Male,128,78,171,64,70,202,107,6.0,22.1,78,171,Asymptomatic,False,0.2,False,Never,8.4,205,7.4,30.7,False,8860,68.1,0
+3848,51,Male,149,89,171,54,86,218,132,6.1,21.6,82,175,Atypical Angina,False,0.4,False,Current,7.7,145,8.0,50.8,True,9597,58.9,0
+3849,59,Female,115,74,191,65,126,55,100,5.1,24.2,75,171,Non-Anginal Pain,False,1.2,True,Never,2.5,220,5.8,71.7,True,8102,55.8,0
+3850,74,Male,144,94,182,67,91,88,124,5.8,27.6,82,128,Asymptomatic,False,1.9,False,Never,4.7,142,7.4,61.9,True,9421,79.5,1
+3851,65,Male,131,75,131,51,70,64,145,6.3,20.1,92,128,Typical Angina,True,0.3,False,Current,7.0,92,5.4,75.6,False,6788,62.3,1
+3852,72,Female,141,95,171,57,82,106,137,5.8,33.7,85,141,Asymptomatic,True,0.3,False,Never,1.5,101,7.5,36.9,False,3806,80.2,0
+3853,36,Female,95,53,213,63,128,182,77,4.3,23.8,68,183,Asymptomatic,False,0.4,False,Never,5.1,133,8.6,28.6,True,5998,40.1,0
+3854,29,Male,114,68,270,83,146,208,119,6.3,26.1,64,201,Typical Angina,False,0.6,False,Never,2.3,248,7.4,25.8,False,8335,62.2,0
+3855,65,Female,132,84,207,48,125,143,158,6.3,26.2,81,126,Atypical Angina,False,3.0,False,Never,5.1,16,7.8,50.6,False,4060,44.2,1
+3856,52,Male,134,85,200,47,121,149,87,4.5,19.1,63,175,Asymptomatic,False,0.3,False,Never,14.7,169,5.7,35.3,True,7509,61.0,0
+3857,18,Female,97,59,169,66,68,176,73,4.8,31.3,76,210,Asymptomatic,False,0.3,True,Former,0.2,81,8.0,57.2,True,6230,67.0,0
+3858,64,Male,140,83,167,49,95,179,130,6.0,25.6,79,150,Atypical Angina,True,3.4,False,Never,11.6,108,7.3,34.2,False,7242,67.9,1
+3859,69,Male,159,104,181,46,110,123,75,4.0,32.9,80,136,Asymptomatic,False,1.7,False,Never,1.6,167,5.4,37.9,False,2620,65.0,1
+3860,59,Female,103,61,140,51,85,35,141,6.6,21.3,76,143,Typical Angina,False,0.7,False,Never,7.4,63,7.5,35.4,True,6661,52.7,0
+3861,56,Female,144,84,220,46,138,108,134,5.7,28.9,76,171,Asymptomatic,False,0.3,True,Former,4.7,113,6.7,41.9,False,8082,66.6,0
+3862,35,Male,109,82,140,54,76,94,115,6.0,21.8,81,193,Non-Anginal Pain,False,0.4,True,Never,10.8,233,5.9,18.1,False,6457,81.8,0
+3863,68,Female,124,85,180,55,68,283,167,7.1,30.0,73,136,Non-Anginal Pain,True,3.8,True,Never,3.0,98,6.7,43.8,False,4843,39.9,1
+3864,87,Female,110,67,143,34,101,118,97,5.1,26.9,86,124,Non-Anginal Pain,False,0.5,True,Former,3.3,58,6.2,58.8,True,9968,74.4,0
+3865,88,Female,166,101,203,61,127,132,67,4.4,21.0,93,150,Asymptomatic,False,0.2,False,Former,5.5,137,6.3,57.6,True,4181,62.9,0
+3866,55,Female,107,70,229,71,128,104,158,6.9,23.3,80,168,Non-Anginal Pain,False,0.6,False,Never,9.9,179,8.2,49.4,False,9333,63.6,0
+3867,56,Female,135,85,187,59,102,125,97,4.7,24.6,85,187,Asymptomatic,False,0.4,False,Never,1.5,55,6.5,43.4,False,6972,39.4,0
+3868,65,Male,135,79,205,65,85,251,120,5.6,31.7,73,159,Atypical Angina,True,0.2,False,Never,7.0,172,7.0,18.6,True,6762,70.6,0
+3869,39,Female,112,75,177,66,109,106,89,5.3,20.3,69,196,Non-Anginal Pain,False,0.2,False,Never,5.9,282,7.8,19.8,True,9056,53.6,0
+3870,47,Female,129,67,217,67,103,170,127,5.9,27.4,86,166,Atypical Angina,False,0.1,False,Former,2.4,89,6.0,39.7,False,4231,55.8,0
+3871,64,Female,115,76,210,78,101,137,86,5.1,22.3,79,176,Asymptomatic,False,0.3,False,Never,6.2,147,7.3,48.7,False,7179,63.5,0
+3872,58,Female,130,87,220,48,155,153,158,7.5,29.7,92,152,Non-Anginal Pain,True,2.1,False,Former,1.3,61,8.1,35.9,False,4656,41.8,1
+3873,48,Male,116,78,160,73,82,98,94,5.0,17.0,81,185,Asymptomatic,False,0.2,False,Never,5.9,166,6.6,66.5,False,5406,54.9,0
+3874,53,Female,124,83,168,60,81,148,85,4.7,23.2,82,187,Atypical Angina,False,1.1,False,Never,6.2,60,6.3,51.9,False,2049,39.1,0
+3875,39,Male,100,72,184,51,121,110,147,6.8,23.5,83,174,Typical Angina,False,1.5,False,Current,3.7,100,8.4,60.9,True,8143,47.1,1
+3876,49,Male,112,77,135,48,77,56,100,5.0,22.5,80,180,Typical Angina,False,0.6,False,Never,3.4,173,8.1,50.7,True,6112,77.9,0
+3877,69,Male,154,93,231,54,131,209,154,7.2,35.7,76,128,Asymptomatic,False,1.4,False,Former,1.9,151,7.9,46.4,True,6070,49.5,1
+3878,46,Male,97,65,174,64,91,102,125,5.6,19.0,70,177,Non-Anginal Pain,False,0.3,False,Current,5.3,219,5.7,43.5,False,7742,67.9,0
+3879,45,Male,116,71,239,46,124,302,126,5.8,24.3,84,171,Non-Anginal Pain,False,0.1,False,Never,10.2,87,9.1,35.8,True,6572,68.1,0
+3880,49,Female,134,81,192,45,129,148,127,6.1,22.2,82,147,Asymptomatic,False,1.7,False,Never,6.8,160,5.3,59.7,True,5631,67.5,1
+3881,39,Female,116,67,191,50,117,118,74,4.5,31.4,82,202,Non-Anginal Pain,False,0.3,False,Never,1.8,208,8.5,60.9,True,9392,77.8,0
+3882,63,Male,125,82,130,39,62,124,79,4.8,21.5,81,166,Typical Angina,False,0.8,True,Current,2.5,106,8.3,50.9,False,6343,52.8,0
+3883,34,Female,127,80,246,63,128,178,123,4.8,31.6,93,160,Non-Anginal Pain,False,1.0,False,Never,0.6,205,6.9,32.1,False,3509,28.5,1
+3884,42,Male,141,81,237,66,124,188,112,5.6,17.4,88,201,Atypical Angina,False,4.7,False,Former,5.1,161,8.3,78.5,True,7789,59.0,0
+3885,58,Female,133,86,156,59,85,90,94,4.5,23.8,78,170,Non-Anginal Pain,False,0.2,True,Never,1.8,117,5.6,72.2,True,5000,72.4,0
+3886,28,Male,126,86,167,39,97,170,135,6.2,25.2,70,182,Typical Angina,False,1.7,False,Never,8.0,182,8.5,53.8,True,8266,73.8,1
+3887,74,Female,142,79,230,59,141,148,117,5.9,27.1,76,151,Non-Anginal Pain,False,1.1,False,Never,0.3,135,7.2,63.1,True,8620,68.7,0
+3888,72,Male,120,68,151,50,81,148,91,4.6,19.3,78,139,Asymptomatic,False,0.6,True,Never,6.0,97,7.1,44.8,True,6745,72.9,0
+3889,55,Female,128,81,205,66,109,136,79,4.6,28.0,84,130,Non-Anginal Pain,True,1.0,True,Former,2.8,67,6.5,66.0,False,4965,52.4,1
+3890,71,Male,145,86,180,35,113,155,144,5.8,31.5,78,121,Typical Angina,False,1.7,False,Current,2.2,45,5.5,51.5,False,2324,43.6,1
+3891,58,Male,141,86,152,59,62,105,114,6.1,29.8,73,171,Non-Anginal Pain,False,0.7,False,Current,2.4,217,6.7,69.3,False,2142,86.7,0
+3892,63,Male,130,79,131,42,80,42,103,4.7,32.0,73,166,Asymptomatic,False,0.9,False,Never,2.9,142,7.7,24.4,False,6564,62.6,0
+3893,70,Female,136,82,191,50,122,104,138,5.8,26.2,77,142,Typical Angina,True,0.3,False,Never,1.0,33,6.2,49.1,False,5918,76.8,1
+3894,84,Female,132,90,169,38,97,154,168,7.0,26.8,85,115,Asymptomatic,True,0.5,False,Current,6.5,130,8.4,59.5,True,6899,79.6,1
+3895,58,Female,124,82,206,61,103,209,102,5.1,27.1,75,150,Atypical Angina,False,0.5,False,Never,1.7,116,6.5,55.6,False,6947,39.9,0
+3896,86,Male,132,90,222,53,150,173,153,6.9,26.4,82,122,Non-Anginal Pain,True,3.2,True,Former,4.5,44,7.3,33.0,False,4345,28.4,1
+3897,70,Female,143,85,159,48,68,215,122,5.8,30.1,81,147,Asymptomatic,False,0.5,False,Former,0.2,73,6.3,31.2,False,3788,69.1,0
+3898,76,Male,126,75,181,34,114,182,158,6.7,28.1,87,124,Asymptomatic,True,3.3,False,Current,5.7,119,8.1,71.2,True,7901,41.0,1
+3899,56,Male,147,95,173,49,92,222,126,6.1,34.7,91,171,Non-Anginal Pain,False,0.1,False,Never,6.7,152,8.7,37.3,False,6556,70.4,0
+3900,60,Female,129,85,185,81,77,173,104,5.7,19.1,91,170,Asymptomatic,False,1.5,False,Former,0.8,96,7.0,63.7,False,3172,74.4,0
+3901,85,Female,155,99,211,41,152,123,162,6.8,36.0,88,93,Asymptomatic,True,1.1,False,Current,0.9,108,8.8,59.9,True,9843,50.4,1
+3902,47,Female,150,92,219,68,139,95,142,6.5,28.7,73,167,Asymptomatic,False,1.3,True,Current,2.0,100,7.6,30.9,False,6673,49.3,1
+3903,39,Female,120,78,204,58,120,124,118,5.6,24.5,83,189,Atypical Angina,False,1.2,False,Never,4.4,177,8.3,41.2,True,7142,82.3,0
+3904,85,Female,159,110,193,67,116,103,142,6.2,30.9,83,114,Non-Anginal Pain,True,0.2,False,Current,1.8,167,7.5,56.0,True,9288,63.7,1
+3905,28,Female,101,61,175,62,86,143,128,5.3,21.5,79,201,Atypical Angina,False,1.0,True,Never,0.2,205,9.4,54.6,True,8528,72.2,0
+3906,68,Male,135,95,179,51,101,112,91,4.7,19.9,71,155,Asymptomatic,False,1.2,False,Never,8.4,120,6.5,50.9,True,5671,72.6,0
+3907,46,Male,114,64,148,53,71,115,142,6.1,24.4,80,183,Non-Anginal Pain,False,1.0,True,Never,1.8,127,8.8,39.9,True,6321,63.6,0
+3908,52,Male,117,83,155,49,90,101,161,7.3,35.7,85,187,Asymptomatic,False,0.2,False,Never,5.9,159,7.5,54.8,False,10888,68.0,0
+3909,31,Female,122,72,217,59,119,143,138,5.6,24.9,73,195,Asymptomatic,False,0.3,False,Never,0.2,138,7.1,38.5,True,9513,24.8,0
+3910,52,Male,145,92,237,45,161,186,161,7.3,31.2,89,136,Typical Angina,True,2.4,True,Current,14.0,139,7.1,44.6,True,5676,65.8,1
+3911,37,Male,137,86,177,64,77,141,91,5.4,29.7,92,175,Typical Angina,False,1.7,False,Former,9.3,91,8.5,66.0,True,4514,68.0,0
+3912,54,Female,144,99,222,49,137,195,148,6.3,21.3,80,148,Non-Anginal Pain,False,6.5,False,Never,7.1,109,9.2,42.2,True,5345,39.4,1
+3913,60,Male,124,78,182,37,105,211,123,5.8,27.0,85,137,Typical Angina,True,0.6,False,Never,14.3,77,7.6,67.6,False,2271,38.1,1
+3914,35,Male,136,86,151,58,63,156,104,5.2,32.0,89,204,Non-Anginal Pain,False,0.4,False,Never,15.4,158,8.3,37.1,True,5345,82.8,0
+3915,67,Female,123,81,231,62,131,201,150,6.9,34.2,86,158,Asymptomatic,False,3.1,True,Current,9.0,166,6.5,42.0,True,3997,62.9,1
+3916,66,Male,131,84,255,63,178,93,113,5.8,26.3,89,154,Asymptomatic,False,0.6,False,Never,1.9,246,6.5,32.6,True,9153,89.1,0
+3917,26,Male,111,64,198,46,113,155,113,5.4,19.9,80,176,Asymptomatic,False,2.5,True,Current,10.5,208,6.8,54.7,True,10997,40.2,0
+3918,48,Female,113,70,120,42,39,162,159,7.1,22.8,91,158,Atypical Angina,False,0.4,False,Former,2.7,88,7.7,51.7,False,6197,62.6,0
+3919,44,Female,122,89,229,72,103,191,120,5.9,24.2,88,169,Non-Anginal Pain,False,0.8,False,Former,13.2,10,7.5,47.9,False,4209,46.8,0
+3920,90,Male,137,102,155,54,67,178,113,5.6,26.6,98,114,Non-Anginal Pain,False,3.8,False,Current,4.8,166,7.6,46.3,False,4521,47.8,1
+3921,54,Male,114,66,160,52,57,203,126,5.8,22.2,80,180,Asymptomatic,True,0.1,False,Never,1.8,146,8.0,40.0,False,4600,55.0,0
+3922,36,Male,108,66,107,42,52,121,153,6.2,26.2,90,147,Typical Angina,False,1.4,False,Former,2.5,197,5.7,45.5,True,7861,54.2,1
+3923,57,Female,129,66,162,50,86,115,131,6.2,25.3,86,140,Asymptomatic,True,0.1,True,Never,11.2,64,7.4,32.2,False,1748,64.8,1
+3924,37,Female,105,82,196,41,112,230,84,4.6,28.1,79,190,Typical Angina,False,0.2,True,Never,6.9,100,6.9,44.6,False,5339,59.6,0
+3925,44,Male,126,73,184,26,139,41,144,6.6,34.1,92,153,Typical Angina,True,0.7,False,Former,1.7,78,5.1,55.3,False,4974,43.0,1
+3926,72,Male,138,74,177,23,123,160,152,7.2,28.4,83,129,Atypical Angina,False,2.9,False,Current,3.4,93,8.3,35.5,True,7105,42.6,1
+3927,54,Male,136,88,110,53,35,96,70,4.6,21.4,88,145,Asymptomatic,False,2.3,False,Current,2.4,8,7.0,49.3,True,4303,63.9,0
+3928,56,Male,119,72,210,47,141,103,84,4.6,16.0,91,161,Asymptomatic,False,0.2,True,Former,1.5,304,8.6,0.5,True,8817,59.7,0
+3929,69,Male,120,79,174,43,122,64,125,5.4,24.4,82,130,Atypical Angina,False,1.2,False,Current,5.8,174,9.6,36.6,True,7204,66.4,1
+3930,81,Male,123,97,226,61,131,137,89,5.0,22.9,56,137,Non-Anginal Pain,False,1.1,False,Never,3.2,159,6.1,50.6,False,4142,64.5,0
+3931,59,Male,124,83,160,62,90,88,113,5.3,26.8,86,164,Non-Anginal Pain,False,1.1,True,Never,10.9,137,4.9,31.7,True,8994,61.2,0
+3932,40,Female,108,67,208,70,104,164,131,5.8,22.0,75,168,Atypical Angina,False,0.1,False,Current,5.5,197,6.9,52.3,True,7651,62.2,0
+3933,54,Male,125,90,217,66,104,206,118,4.9,23.5,72,168,Asymptomatic,False,0.0,False,Never,16.0,182,6.3,38.0,True,9695,61.0,0
+3934,59,Female,108,66,263,62,166,174,120,5.4,24.7,84,164,Asymptomatic,True,0.2,False,Former,9.8,91,8.8,42.3,False,3558,50.9,0
+3935,52,Male,130,91,151,67,49,163,139,6.2,24.6,87,148,Atypical Angina,True,3.3,True,Never,3.1,56,5.1,75.1,False,3802,71.8,1
+3936,63,Male,132,91,117,35,56,210,114,6.3,23.3,81,153,Non-Anginal Pain,True,0.2,True,Never,11.5,83,7.4,25.2,True,7080,54.3,1
+3937,45,Male,122,80,220,68,120,152,107,5.4,26.0,75,179,Asymptomatic,False,0.1,False,Current,5.5,233,8.6,35.8,True,8512,53.8,0
+3938,79,Male,125,77,185,57,84,195,137,6.6,28.1,90,159,Atypical Angina,True,0.6,False,Never,8.0,191,5.5,70.7,False,3789,37.5,0
+3939,61,Male,144,75,138,50,68,113,135,6.6,22.1,75,172,Typical Angina,False,0.2,True,Never,5.5,148,6.1,45.6,False,7236,68.0,0
+3940,33,Female,142,91,126,47,74,88,106,5.3,22.7,80,162,Asymptomatic,False,0.7,False,Never,4.5,79,6.0,75.9,False,4835,55.3,0
+3941,55,Male,109,70,153,41,98,102,114,6.1,22.8,101,142,Atypical Angina,True,0.5,False,Current,12.1,36,7.5,52.6,False,7165,67.7,1
+3942,64,Female,153,101,191,57,107,187,108,5.5,28.7,75,163,Asymptomatic,False,0.9,True,Never,2.8,37,6.5,67.2,False,7789,54.1,0
+3943,60,Male,133,80,242,48,154,157,120,5.8,25.0,102,164,Non-Anginal Pain,False,0.7,False,Current,5.5,208,7.4,50.5,False,5461,22.4,0
+3944,75,Female,126,82,192,64,109,98,131,6.1,19.5,95,139,Non-Anginal Pain,True,1.8,False,Never,1.7,261,8.9,58.4,True,6413,71.2,1
+3945,41,Male,126,78,160,68,79,82,89,5.3,27.3,100,176,Non-Anginal Pain,False,0.5,True,Never,3.3,165,6.9,64.7,False,5857,56.2,0
+3946,34,Female,110,75,173,51,87,187,137,6.3,26.9,73,178,Non-Anginal Pain,False,1.0,False,Former,2.3,206,5.9,62.2,False,6315,81.5,0
+3947,66,Male,105,66,175,43,103,153,143,6.7,23.8,74,151,Asymptomatic,False,1.1,False,Never,3.5,91,8.4,58.3,False,7691,42.9,0
+3948,49,Male,125,70,179,42,97,215,152,6.5,27.4,93,171,Atypical Angina,False,0.0,False,Former,8.8,26,5.1,33.7,False,500,65.9,0
+3949,49,Male,123,83,201,63,99,184,95,4.6,16.4,74,179,Atypical Angina,False,3.1,False,Never,10.8,252,6.0,40.6,False,6094,81.8,0
+3950,66,Female,128,73,181,52,76,238,125,6.8,21.3,79,161,Non-Anginal Pain,False,0.7,False,Former,16.0,53,5.8,48.3,False,3802,42.2,0
+3951,41,Male,108,73,217,70,115,164,85,5.0,27.2,84,162,Non-Anginal Pain,False,0.5,False,Never,9.6,130,6.6,55.7,True,9554,45.4,0
+3952,36,Female,132,86,207,90,88,176,91,4.5,23.9,89,188,Asymptomatic,False,0.7,False,Former,4.6,144,5.9,47.5,False,7493,35.3,0
+3953,39,Male,123,79,202,68,101,205,148,7.1,26.8,72,172,Non-Anginal Pain,False,0.3,False,Never,17.5,231,7.2,20.6,True,7689,85.3,0
+3954,64,Male,132,78,170,49,86,140,167,7.5,28.3,81,165,Asymptomatic,True,0.0,False,Former,7.0,130,9.7,32.1,False,6678,57.2,0
+3955,52,Male,133,95,154,57,53,185,103,5.8,23.2,76,156,Asymptomatic,False,0.7,False,Never,2.4,234,4.4,37.3,False,5240,58.7,0
+3956,44,Male,128,74,153,70,54,138,137,5.9,24.9,82,155,Typical Angina,False,1.0,False,Former,5.4,184,7.9,42.8,True,9141,67.2,0
+3957,26,Male,102,73,194,47,124,124,112,5.3,21.8,86,190,Asymptomatic,False,1.1,False,Former,2.4,113,6.8,54.4,True,8102,44.8,0
+3958,63,Female,101,72,214,72,109,134,85,5.1,17.6,62,144,Atypical Angina,False,1.0,False,Current,4.5,239,7.5,31.2,True,9292,42.4,0
+3959,40,Female,108,75,158,36,114,144,120,5.9,29.5,84,173,Asymptomatic,False,2.0,False,Current,3.5,68,6.2,48.7,False,8520,52.5,0
+3960,63,Female,130,89,153,69,69,35,121,6.1,17.9,81,157,Asymptomatic,False,1.5,False,Never,2.9,55,7.4,38.7,False,3288,62.6,0
+3961,48,Male,126,78,208,70,99,158,92,4.6,17.6,67,185,Asymptomatic,False,1.5,False,Never,7.8,176,5.3,33.4,True,3700,65.5,0
+3962,58,Male,124,78,172,53,89,128,140,7.0,20.0,82,163,Atypical Angina,False,0.5,False,Never,23.6,197,6.8,36.7,True,7837,78.9,0
+3963,45,Female,131,77,164,51,100,105,109,5.1,27.8,95,178,Asymptomatic,False,0.1,False,Former,7.7,55,6.0,48.2,False,500,81.8,0
+3964,59,Male,138,91,210,44,141,147,122,5.9,22.6,74,134,Atypical Angina,True,0.7,False,Never,3.4,89,7.3,72.5,False,1624,66.5,1
+3965,26,Female,118,74,191,53,113,147,104,5.4,26.3,78,184,Atypical Angina,True,1.0,False,Former,2.5,172,7.9,61.9,True,9992,51.6,1
+3966,44,Female,145,85,199,78,121,46,159,6.9,30.0,76,183,Atypical Angina,True,0.2,True,Never,3.4,200,5.5,33.1,False,4241,75.0,1
+3967,61,Male,128,77,188,64,84,221,133,6.8,32.2,85,158,Non-Anginal Pain,False,0.9,False,Never,2.4,122,7.2,42.6,True,6179,85.1,0
+3968,74,Female,144,90,232,62,140,141,104,5.2,23.5,79,156,Asymptomatic,False,1.0,False,Former,22.3,170,8.8,62.9,True,10323,50.9,0
+3969,60,Female,130,73,177,57,89,170,96,5.4,31.0,90,152,Asymptomatic,False,2.1,False,Never,1.9,120,8.2,52.5,False,4571,59.8,0
+3970,45,Male,132,84,236,55,150,170,100,5.3,27.9,76,192,Non-Anginal Pain,False,0.2,True,Never,2.6,118,8.5,54.1,True,5770,48.1,0
+3971,46,Male,125,77,225,50,133,185,142,6.6,31.3,73,173,Asymptomatic,True,1.2,False,Never,7.4,64,4.9,31.7,False,4773,61.6,1
+3972,55,Female,112,69,215,61,143,125,131,6.8,24.1,77,179,Asymptomatic,False,0.3,False,Never,1.5,92,7.1,47.8,False,5582,45.6,0
+3973,38,Female,130,77,212,34,140,202,114,4.7,31.2,76,168,Non-Anginal Pain,False,0.5,False,Never,4.5,219,6.8,35.2,True,8098,60.7,0
+3974,68,Female,123,81,154,52,75,129,84,5.0,23.7,80,160,Non-Anginal Pain,False,0.1,True,Former,6.2,152,7.1,55.5,True,6973,59.0,0
+3975,81,Male,150,93,151,50,92,44,132,6.3,27.6,84,137,Non-Anginal Pain,False,0.4,False,Former,7.3,70,7.0,72.1,False,3097,87.1,0
+3976,47,Female,125,88,159,51,95,77,132,6.1,27.6,81,195,Non-Anginal Pain,False,1.2,False,Never,2.5,182,8.1,47.5,True,5130,58.8,0
+3977,24,Male,117,63,228,55,143,135,96,4.6,25.4,99,193,Non-Anginal Pain,False,0.9,False,Never,3.2,115,4.6,36.7,False,5963,67.9,0
+3978,44,Male,108,66,207,60,129,112,108,6.0,19.2,95,163,Atypical Angina,False,0.2,False,Current,4.2,125,8.6,75.7,True,8975,56.5,0
+3979,51,Female,142,102,175,73,84,108,148,6.3,25.3,77,166,Asymptomatic,False,0.6,False,Never,11.9,135,8.3,49.0,True,9362,45.9,0
+3980,47,Female,136,77,158,56,103,90,124,5.8,17.8,89,189,Asymptomatic,False,0.7,False,Current,2.5,156,6.6,73.1,False,5058,83.9,0
+3981,71,Female,140,86,192,37,128,172,156,7.4,26.6,91,155,Atypical Angina,True,0.8,False,Current,1.6,138,6.9,45.1,True,7487,58.8,1
+3982,68,Male,127,82,169,68,73,116,105,4.6,29.4,74,128,Non-Anginal Pain,True,0.8,False,Never,8.2,168,6.2,58.7,True,9560,63.3,0
+3983,43,Male,124,72,155,34,90,145,102,6.0,20.5,73,172,Asymptomatic,True,1.2,False,Former,4.9,171,6.3,44.8,False,4720,44.9,0
+3984,70,Male,147,104,159,29,77,210,161,7.3,28.4,95,136,Asymptomatic,False,0.6,False,Current,3.8,234,6.4,93.8,True,8341,49.8,1
+3985,76,Female,137,82,195,60,80,233,133,5.8,23.9,75,156,Typical Angina,False,1.5,False,Never,15.1,147,5.9,50.3,True,7934,56.5,0
+3986,32,Female,101,70,166,53,79,164,119,4.7,27.6,81,183,Atypical Angina,False,0.4,False,Former,1.7,183,7.0,30.2,False,10844,78.6,0
+3987,51,Female,127,75,218,59,113,167,108,5.1,26.1,79,171,Atypical Angina,False,0.8,False,Former,6.2,199,5.7,40.9,False,7352,64.5,0
+3988,56,Female,101,77,104,49,35,184,85,4.8,17.3,75,168,Asymptomatic,True,1.7,False,Never,0.7,110,5.5,36.6,False,5095,63.6,0
+3989,73,Male,120,67,208,52,147,120,134,5.7,33.5,92,127,Asymptomatic,True,1.8,False,Never,1.9,156,6.7,43.2,False,7974,51.3,1
+3990,33,Male,98,53,217,68,122,174,102,5.4,22.0,81,193,Typical Angina,True,1.1,False,Never,16.1,214,8.3,43.1,False,6271,85.1,1
+3991,50,Female,137,80,166,62,71,163,109,5.7,31.8,65,154,Atypical Angina,True,0.6,False,Never,5.8,211,8.0,55.0,False,5102,68.4,0
+3992,45,Female,136,100,177,53,85,173,143,6.1,25.5,79,175,Typical Angina,True,0.7,True,Former,5.5,11,5.6,68.1,False,3225,87.2,0
+3993,42,Male,134,75,219,56,125,179,122,6.4,25.6,88,190,Typical Angina,False,2.4,False,Former,8.0,93,7.1,61.2,True,6252,54.6,0
+3994,51,Female,148,99,191,43,120,169,109,5.2,28.0,81,141,Asymptomatic,False,0.8,False,Never,7.2,71,7.2,52.6,True,8748,56.2,0
+3995,64,Male,138,74,181,57,102,84,114,6.1,19.8,76,149,Typical Angina,False,1.4,False,Never,3.4,138,6.1,26.0,True,8043,44.8,0
+3996,62,Female,126,72,131,50,76,48,97,5.7,19.1,69,161,Asymptomatic,True,0.4,False,Never,2.6,113,8.6,54.3,False,2532,90.0,0
+3997,72,Male,122,72,194,49,118,116,113,5.6,26.3,87,158,Asymptomatic,False,0.8,False,Current,5.2,135,5.4,27.4,False,7774,59.4,0
+3998,47,Male,138,81,183,42,104,183,117,5.5,30.7,65,197,Non-Anginal Pain,False,1.5,False,Current,2.7,243,6.1,42.5,True,7384,47.4,0
+3999,56,Male,137,81,195,53,108,209,145,7.0,28.8,76,144,Atypical Angina,False,0.2,False,Never,1.6,163,7.9,29.8,False,7259,64.8,1
+4000,61,Female,122,71,215,56,141,158,138,6.3,27.5,90,158,Asymptomatic,False,1.6,True,Former,3.6,98,5.3,42.7,True,6853,46.4,0
+4001,73,Female,146,86,200,47,118,144,161,7.1,30.3,78,126,Non-Anginal Pain,True,4.7,False,Never,2.2,0,6.5,36.4,False,3521,54.0,1
+4002,42,Male,105,61,137,47,83,113,118,5.8,22.7,88,178,Typical Angina,False,0.9,True,Former,3.7,152,6.2,53.5,True,9267,76.4,0
+4003,54,Male,118,69,157,56,70,179,146,6.0,23.6,77,168,Atypical Angina,True,0.0,True,Former,3.0,76,6.1,9.3,False,4024,61.7,1
+4004,41,Male,124,73,179,67,81,133,110,5.6,26.2,74,190,Asymptomatic,True,1.3,False,Never,9.4,227,7.2,41.2,True,4538,72.9,0
+4005,59,Female,114,82,205,42,123,181,113,5.8,29.7,77,151,Asymptomatic,False,0.8,True,Current,5.1,207,7.9,14.0,True,8825,52.0,0
+4006,33,Female,115,63,209,66,113,136,127,5.3,24.3,90,193,Asymptomatic,False,1.6,True,Current,5.4,123,7.6,48.3,True,7131,46.8,0
+4007,38,Female,115,71,201,50,115,181,94,5.2,27.1,91,189,Non-Anginal Pain,False,1.0,False,Never,3.6,169,6.7,35.0,False,7070,37.5,0
+4008,54,Male,144,96,208,67,123,110,125,5.7,19.6,84,158,Non-Anginal Pain,False,0.5,False,Former,7.1,169,6.7,46.7,True,3671,58.4,0
+4009,39,Male,115,88,176,43,92,126,101,5.1,28.5,81,184,Asymptomatic,False,0.8,True,Never,4.0,141,8.7,64.7,False,3763,74.3,0
+4010,58,Male,140,88,168,52,94,162,115,5.2,20.9,85,165,Asymptomatic,False,0.1,False,Former,2.8,93,6.2,67.7,True,5085,41.4,0
+4011,43,Male,118,75,158,68,56,192,131,5.6,19.9,91,197,Asymptomatic,False,0.2,False,Never,16.5,93,7.8,58.2,False,6754,79.5,0
+4012,23,Male,107,67,152,63,48,135,94,4.8,20.8,81,210,Non-Anginal Pain,False,0.8,False,Never,1.9,223,7.0,50.4,True,10393,95.7,0
+4013,44,Male,113,71,187,52,117,124,125,5.5,25.9,87,170,Asymptomatic,False,0.2,True,Former,12.7,157,6.2,59.1,True,8369,42.3,0
+4014,68,Female,137,90,234,66,138,194,115,5.7,20.5,85,162,Asymptomatic,False,0.6,False,Never,3.7,186,8.3,36.1,False,5279,51.9,0
+4015,59,Male,132,83,163,83,67,74,118,5.3,23.5,59,179,Asymptomatic,False,0.0,False,Former,2.0,281,8.3,49.4,False,6448,76.0,0
+4016,61,Female,156,110,173,68,76,124,144,6.4,25.2,83,184,Non-Anginal Pain,False,0.2,False,Never,4.2,165,4.8,36.3,True,7809,54.8,0
+4017,18,Female,97,51,223,77,100,246,117,5.6,24.5,80,210,Non-Anginal Pain,False,0.3,False,Never,2.8,228,7.6,54.8,False,4836,45.7,0
+4018,47,Male,137,95,127,30,88,62,101,5.5,24.4,91,197,Non-Anginal Pain,False,2.1,True,Never,4.6,115,7.1,61.5,False,5755,70.0,1
+4019,62,Female,117,78,191,40,107,166,74,4.1,21.8,95,172,Non-Anginal Pain,False,0.9,False,Never,6.7,147,5.9,45.9,False,4661,42.2,0
+4020,51,Male,130,95,186,61,80,157,117,6.3,17.4,81,170,Atypical Angina,False,0.5,False,Never,6.4,100,8.3,45.1,True,6192,57.0,0
+4021,65,Female,129,71,147,62,61,120,76,5.1,15.0,79,153,Typical Angina,False,0.1,True,Former,14.6,87,5.4,44.9,False,7618,73.1,0
+4022,61,Male,111,77,136,63,36,135,89,5.1,20.4,73,165,Asymptomatic,False,0.5,False,Never,5.6,154,5.4,42.5,False,2341,75.3,0
+4023,47,Male,107,51,147,64,60,120,97,5.3,19.2,74,160,Asymptomatic,False,1.0,False,Never,6.1,278,7.2,61.9,True,8235,72.6,0
+4024,67,Female,160,104,128,51,72,71,97,4.9,24.8,80,162,Asymptomatic,False,0.4,False,Never,4.9,35,6.5,62.5,False,2192,60.8,0
+4025,74,Female,110,76,251,42,175,194,145,6.4,22.3,74,126,Asymptomatic,True,1.3,False,Never,4.0,99,6.7,72.4,False,4425,36.7,1
+4026,64,Male,142,95,276,72,151,252,143,6.8,27.5,76,101,Non-Anginal Pain,False,1.8,False,Never,7.4,100,7.1,88.4,True,5826,81.5,1
+4027,63,Male,140,82,194,65,100,184,83,5.1,21.1,76,142,Asymptomatic,True,0.3,False,Never,3.2,95,7.7,46.8,True,7237,47.6,0
+4028,38,Female,123,77,210,59,119,148,152,6.5,24.2,88,188,Non-Anginal Pain,True,0.4,False,Current,0.4,113,8.6,74.5,False,6193,35.9,0
+4029,56,Female,139,91,225,54,129,183,128,6.0,32.6,77,160,Non-Anginal Pain,False,0.9,False,Never,0.7,135,7.0,31.7,False,7484,56.8,0
+4030,58,Female,127,80,185,48,106,143,108,5.4,27.2,65,197,Asymptomatic,False,0.6,False,Never,5.4,199,7.0,58.8,True,5994,49.9,0
+4031,41,Female,135,78,225,67,120,182,150,6.3,20.2,88,205,Typical Angina,False,3.3,False,Former,2.2,129,5.8,44.3,False,7056,53.5,0
+4032,50,Female,140,89,217,51,149,120,102,5.4,27.4,87,159,Non-Anginal Pain,True,0.4,False,Current,5.3,161,5.3,54.2,False,8389,55.2,1
+4033,45,Male,126,68,234,66,125,145,130,5.4,29.7,96,192,Non-Anginal Pain,False,1.7,False,Never,4.2,105,5.7,45.0,False,3813,65.6,0
+4034,70,Female,146,96,240,75,110,208,130,5.9,31.5,84,147,Typical Angina,False,0.5,False,Former,1.5,206,6.8,45.1,False,6657,59.3,1
+4035,41,Male,124,86,203,62,90,249,85,5.0,20.4,91,193,Asymptomatic,False,0.7,True,Current,26.0,155,6.4,23.5,False,7335,35.3,0
+4036,57,Female,136,71,186,47,99,168,84,5.0,31.3,79,144,Non-Anginal Pain,False,0.1,False,Never,0.1,149,7.3,34.8,True,5853,72.4,0
+4037,53,Female,113,60,182,51,109,122,95,4.6,23.0,75,179,Non-Anginal Pain,False,0.3,True,Never,2.0,230,7.9,19.1,True,5805,66.3,0
+4038,61,Female,103,58,220,85,116,133,86,4.9,19.5,75,155,Non-Anginal Pain,False,2.5,False,Never,6.0,135,6.7,39.3,True,8041,64.1,0
+4039,53,Male,161,105,223,47,145,139,133,6.4,24.3,89,152,Asymptomatic,True,2.5,False,Current,2.4,33,7.1,69.6,False,6841,66.4,1
+4040,42,Female,140,86,230,48,135,225,122,5.7,32.6,93,178,Non-Anginal Pain,False,0.2,False,Former,15.1,67,7.2,33.4,False,4469,63.8,0
+4041,57,Male,144,92,219,57,137,116,158,7.0,20.9,81,153,Non-Anginal Pain,True,0.5,True,Never,4.3,67,8.5,52.5,True,7246,45.8,1
+4042,80,Male,144,86,156,33,102,107,114,5.9,21.3,85,137,Non-Anginal Pain,True,3.7,False,Never,2.9,92,5.4,63.9,False,1232,67.1,1
+4043,60,Male,139,94,208,72,96,199,130,6.1,31.2,76,130,Non-Anginal Pain,True,2.5,True,Former,7.3,136,8.7,64.6,False,4926,28.8,1
+4044,68,Male,149,96,169,70,73,117,112,5.9,21.5,62,166,Asymptomatic,False,0.5,False,Never,6.9,241,6.0,42.5,True,7804,66.5,0
+4045,33,Male,119,76,192,61,106,142,122,6.1,31.8,83,194,Typical Angina,False,0.3,False,Former,3.3,131,5.8,21.0,False,3037,63.7,0
+4046,78,Female,141,88,193,57,108,174,154,6.6,29.0,99,104,Asymptomatic,False,2.7,False,Never,4.9,57,7.3,57.2,True,5477,40.1,1
+4047,70,Male,126,91,157,65,62,106,101,5.6,16.2,66,167,Asymptomatic,False,0.2,False,Never,6.1,259,7.1,43.8,True,7334,76.9,0
+4048,53,Female,133,77,198,74,103,139,133,6.0,17.6,75,177,Asymptomatic,True,1.1,False,Never,13.8,228,7.9,34.2,True,6327,55.6,0
+4049,63,Male,134,85,166,43,91,168,105,5.0,22.3,83,106,Typical Angina,True,0.4,True,Never,8.7,133,6.7,69.5,True,6993,66.7,1
+4050,77,Female,148,101,213,49,127,128,163,6.6,38.2,72,125,Typical Angina,False,1.2,True,Former,1.0,147,4.2,25.3,True,4489,65.6,1
+4051,53,Male,122,71,174,70,81,98,85,4.5,15.0,80,180,Asymptomatic,False,0.6,True,Never,3.0,83,6.1,53.9,True,5039,58.2,0
+4052,40,Female,119,69,184,49,105,118,109,5.5,18.1,84,187,Non-Anginal Pain,False,0.7,True,Current,1.7,258,4.6,44.3,False,6763,47.8,0
+4053,65,Male,145,83,210,53,119,184,153,6.6,31.6,87,127,Typical Angina,False,2.3,False,Former,4.8,0,7.3,44.5,False,4208,77.1,1
+4054,51,Male,134,87,233,66,128,204,138,6.4,29.6,92,143,Typical Angina,False,0.5,False,Former,5.4,209,5.9,38.3,False,3547,26.4,1
+4055,61,Female,148,102,176,47,128,122,109,5.9,33.8,71,155,Asymptomatic,False,0.2,True,Never,0.6,114,7.6,36.2,True,8246,36.1,0
+4056,50,Male,115,73,158,46,101,70,136,6.6,24.0,87,138,Typical Angina,False,0.1,False,Former,9.7,98,5.6,67.4,False,3163,53.3,1
+4057,34,Female,128,83,129,46,62,119,102,5.2,26.7,91,192,Asymptomatic,False,1.0,False,Never,4.4,55,8.4,75.7,True,7326,46.6,0
+4058,48,Female,123,79,162,44,82,122,136,6.1,19.8,92,146,Typical Angina,True,0.1,False,Current,1.9,139,8.8,46.8,False,5167,55.1,1
+4059,61,Male,109,55,256,64,156,191,86,5.8,23.6,76,162,Typical Angina,True,0.4,False,Never,6.1,255,6.9,71.9,True,9065,48.5,0
+4060,39,Male,111,66,164,49,98,98,115,5.5,26.4,87,155,Asymptomatic,True,1.8,False,Current,4.7,100,6.8,54.7,False,3033,67.5,1
+4061,75,Male,125,66,125,32,66,96,130,6.2,27.2,90,112,Asymptomatic,False,5.9,False,Never,7.5,31,6.5,12.8,False,4320,68.3,1
+4062,27,Female,99,67,178,63,94,121,126,6.4,21.0,92,191,Non-Anginal Pain,False,0.6,True,Never,1.5,195,7.6,45.6,True,9095,58.3,0
+4063,42,Female,115,78,209,63,110,178,115,5.5,21.8,71,191,Non-Anginal Pain,False,2.3,False,Never,16.9,232,8.5,72.0,True,9797,44.2,0
+4064,57,Female,119,53,207,58,104,218,117,6.2,21.3,77,177,Asymptomatic,False,2.4,True,Current,0.8,203,8.1,44.8,True,7632,59.4,0
+4065,56,Female,139,75,212,61,117,140,157,7.0,31.8,87,185,Atypical Angina,False,0.3,False,Former,9.4,27,5.9,38.3,False,4881,64.9,0
+4066,64,Female,116,80,165,47,97,81,87,4.8,20.7,94,194,Non-Anginal Pain,False,2.2,True,Never,0.7,152,6.1,56.8,False,6460,62.1,0
+4067,56,Male,129,89,243,68,148,181,123,6.2,28.8,89,149,Atypical Angina,True,0.8,True,Never,4.3,215,7.3,60.5,True,5731,40.4,0
+4068,75,Male,105,76,210,64,106,227,119,5.5,27.8,83,136,Non-Anginal Pain,True,0.2,False,Former,2.0,145,4.4,40.8,True,6146,52.8,1
+4069,48,Female,114,76,193,62,105,154,110,5.7,20.8,78,174,Atypical Angina,False,0.9,False,Never,4.6,224,7.8,32.7,True,9067,46.5,0
+4070,62,Female,119,72,148,64,47,139,113,5.8,24.8,85,165,Typical Angina,True,2.7,False,Former,1.8,179,6.2,50.2,False,6185,70.1,0
+4071,45,Male,106,57,196,51,131,107,109,5.7,27.0,73,185,Asymptomatic,False,0.7,False,Never,3.2,88,8.0,56.0,False,5097,62.6,0
+4072,69,Female,148,101,212,52,113,174,104,5.6,26.3,92,140,Non-Anginal Pain,False,3.5,True,Current,0.3,93,9.1,70.9,True,7052,53.5,1
+4073,51,Female,129,92,199,67,107,144,103,5.2,28.1,71,155,Asymptomatic,False,0.4,True,Current,8.7,226,6.6,35.5,True,7856,33.2,0
+4074,50,Female,123,81,209,50,126,171,138,5.9,29.7,85,163,Asymptomatic,False,0.7,False,Never,1.8,140,6.7,44.2,False,4687,50.2,0
+4075,54,Male,141,87,188,57,114,145,135,6.4,31.5,82,140,Typical Angina,False,1.2,False,Never,1.7,86,8.1,47.7,False,3656,89.9,1
+4076,42,Female,146,95,188,63,74,238,116,6.2,27.2,78,191,Atypical Angina,False,0.3,False,Never,17.4,173,6.0,60.8,True,6661,63.8,0
+4077,49,Female,127,75,184,20,108,264,93,5.4,22.8,69,172,Non-Anginal Pain,False,0.2,False,Never,22.1,145,6.8,50.6,True,1699,27.0,0
+4078,33,Male,116,70,156,51,54,237,135,6.6,29.7,86,189,Asymptomatic,False,0.2,True,Never,7.9,92,6.3,44.4,False,5134,76.6,0
+4079,50,Male,116,60,112,25,84,93,125,6.6,22.3,86,172,Atypical Angina,True,1.7,False,Never,2.0,76,5.6,45.0,False,4197,70.1,0
+4080,53,Male,129,65,250,66,148,132,107,6.4,30.4,83,150,Asymptomatic,False,0.3,False,Former,3.9,140,6.1,74.6,False,6449,76.9,0
+4081,62,Female,146,79,191,47,121,93,173,7.0,31.1,90,144,Asymptomatic,False,0.3,False,Never,1.4,0,8.1,52.5,False,2429,52.4,0
+4082,48,Female,129,84,169,46,89,114,83,4.9,23.4,67,172,Atypical Angina,False,0.3,False,Former,2.6,181,7.5,46.2,True,6586,69.1,0
+4083,37,Female,120,71,182,52,93,179,92,5.3,18.1,92,210,Asymptomatic,False,0.6,True,Never,6.8,96,7.0,33.9,False,5312,56.1,0
+4084,53,Male,129,66,209,55,116,159,147,7.0,27.6,80,185,Non-Anginal Pain,False,0.4,False,Never,6.5,140,6.8,52.6,True,8971,76.6,0
+4085,46,Female,144,84,153,79,45,168,132,6.0,26.2,81,177,Typical Angina,True,1.7,True,Never,15.0,51,7.7,67.2,False,3910,59.3,1
+4086,42,Male,126,78,206,65,85,240,93,4.6,27.6,65,150,Atypical Angina,False,0.5,True,Never,2.6,106,9.5,47.6,True,6245,37.3,1
+4087,77,Female,142,86,270,49,178,208,128,6.0,20.9,83,114,Asymptomatic,False,3.0,False,Never,1.5,139,4.9,25.3,False,2464,52.1,1
+4088,51,Female,116,73,206,68,96,187,128,6.3,30.4,88,181,Asymptomatic,False,0.1,False,Former,0.8,133,5.6,61.0,False,4141,69.7,0
+4089,90,Female,170,116,176,67,82,159,128,5.9,23.1,83,138,Asymptomatic,False,0.9,True,Never,7.1,116,4.8,59.4,False,6440,61.3,0
+4090,49,Female,123,82,109,48,42,135,103,5.5,26.4,73,162,Non-Anginal Pain,False,0.1,True,Never,0.4,98,7.9,39.5,True,4170,58.2,0
+4091,40,Female,111,83,221,71,129,111,162,6.6,24.5,84,191,Asymptomatic,False,0.4,False,Never,0.1,182,8.1,3.6,True,6799,65.6,0
+4092,51,Male,143,103,196,54,119,135,116,5.6,28.9,86,173,Non-Anginal Pain,False,1.0,False,Never,2.6,87,5.4,63.3,False,6839,66.5,0
+4093,43,Female,100,53,193,82,87,112,114,5.4,22.8,72,192,Asymptomatic,False,0.6,False,Never,0.6,231,8.9,44.9,True,7449,62.0,0
+4094,64,Female,158,104,118,50,56,93,129,6.0,28.2,94,164,Non-Anginal Pain,False,0.1,True,Former,7.6,116,8.6,56.7,False,4139,62.6,0
+4095,47,Male,120,83,126,43,60,35,96,4.8,25.4,66,186,Asymptomatic,False,0.7,True,Never,2.5,145,7.9,82.2,False,6028,93.6,0
+4096,54,Female,128,88,202,67,130,35,80,4.5,27.1,72,166,Non-Anginal Pain,False,1.0,False,Former,8.4,59,5.7,24.9,False,2420,49.5,0
+4097,65,Male,147,99,201,47,127,88,125,6.3,19.2,81,159,Asymptomatic,False,1.1,True,Current,2.7,38,7.8,52.4,True,3875,58.3,0
+4098,53,Female,114,76,165,50,94,126,122,6.1,19.4,95,170,Asymptomatic,True,0.9,False,Current,7.3,63,6.6,55.0,False,5871,54.6,0
+4099,57,Male,139,95,183,23,109,283,117,6.1,24.6,95,147,Asymptomatic,True,0.1,False,Current,25.7,60,7.2,67.2,False,4898,56.1,1
+4100,46,Female,152,97,238,69,138,131,100,4.8,28.9,87,148,Typical Angina,False,2.1,False,Former,0.1,180,6.1,35.0,True,8986,78.9,1
+4101,66,Male,135,81,177,32,111,150,120,5.6,30.0,101,135,Asymptomatic,False,0.1,False,Current,5.8,79,6.9,29.1,True,6355,55.2,0
+4102,76,Female,144,101,215,49,131,186,97,5.0,29.7,79,125,Typical Angina,True,0.2,False,Never,3.7,69,4.9,41.1,False,3695,33.8,1
+4103,52,Female,129,84,123,28,91,76,119,5.2,20.4,70,160,Asymptomatic,False,0.4,False,Never,14.2,93,7.6,41.7,False,1052,74.8,0
+4104,42,Female,107,71,156,58,80,125,107,5.6,22.4,80,172,Asymptomatic,False,0.4,True,Current,0.1,229,6.9,34.5,False,5879,46.6,0
+4105,56,Female,112,76,179,48,90,196,126,6.3,25.4,87,153,Typical Angina,False,0.8,True,Former,3.6,177,7.2,49.1,True,6429,51.6,1
+4106,77,Male,139,83,168,58,87,167,113,5.3,23.9,66,146,Atypical Angina,True,0.8,True,Never,3.7,173,5.7,62.8,False,5286,80.6,0
+4107,52,Female,147,98,196,59,93,270,101,5.6,22.2,63,177,Asymptomatic,False,0.3,False,Never,25.2,195,9.2,46.3,True,7859,52.1,0
+4108,74,Male,140,97,223,72,101,214,140,6.3,17.9,79,131,Asymptomatic,True,1.2,False,Current,25.0,153,7.2,33.6,True,4257,53.0,1
+4109,43,Male,126,82,167,63,63,167,144,6.3,28.4,91,181,Atypical Angina,False,1.1,True,Former,1.8,119,8.9,52.6,True,5424,67.1,0
+4110,52,Female,138,78,211,66,100,186,131,6.2,26.9,69,179,Asymptomatic,False,0.1,False,Never,7.7,160,7.3,44.8,True,7852,54.1,0
+4111,68,Male,129,76,219,38,137,192,113,5.8,23.8,84,138,Atypical Angina,False,0.9,False,Never,10.0,140,7.9,70.7,True,9193,56.1,1
+4112,58,Female,134,89,160,51,95,70,97,5.1,26.4,87,155,Typical Angina,False,1.0,False,Never,1.3,122,7.4,48.1,False,3004,62.9,0
+4113,49,Male,126,75,224,82,111,166,160,6.7,29.0,77,161,Non-Anginal Pain,True,0.9,False,Former,5.6,63,6.2,67.6,False,6143,58.2,0
+4114,77,Female,133,74,215,61,112,122,95,5.0,22.4,85,141,Asymptomatic,False,0.1,False,Never,4.6,43,6.3,42.8,True,7189,52.8,0
+4115,54,Female,128,80,213,62,134,91,113,5.5,28.7,64,162,Asymptomatic,False,0.2,True,Never,1.6,158,6.2,32.5,False,6829,80.9,0
+4116,56,Male,137,89,241,53,142,182,104,5.2,27.2,97,153,Asymptomatic,True,1.1,False,Never,9.4,113,8.4,38.0,False,4390,44.6,1
+4117,51,Male,124,83,224,40,160,206,134,6.0,31.3,97,148,Non-Anginal Pain,False,2.7,True,Current,8.3,86,6.4,66.4,True,4451,20.5,1
+4118,43,Male,162,93,267,64,184,121,90,5.6,28.8,82,154,Asymptomatic,False,0.2,True,Current,8.6,93,8.7,56.6,False,8199,71.8,1
+4119,57,Male,114,81,234,62,112,218,97,4.8,26.6,77,180,Asymptomatic,False,0.3,False,Never,4.0,135,6.9,59.3,False,5042,64.5,0
+4120,71,Female,140,78,189,56,117,155,171,7.3,27.3,94,119,Asymptomatic,True,1.2,False,Never,4.6,102,6.9,64.8,False,4362,48.2,1
+4121,53,Female,140,68,182,54,94,148,132,6.4,36.6,92,161,Non-Anginal Pain,False,1.5,False,Former,0.5,50,6.8,70.3,False,7438,79.1,0
+4122,71,Male,114,72,236,64,138,149,136,6.2,17.6,85,144,Asymptomatic,False,0.6,False,Current,3.9,195,8.0,29.2,False,5981,39.0,1
+4123,43,Female,109,68,174,86,43,155,143,6.9,23.9,70,179,Asymptomatic,False,0.2,False,Former,7.3,282,5.5,27.1,False,9975,84.2,0
+4124,57,Female,118,81,194,64,109,114,85,4.9,20.1,92,158,Atypical Angina,False,0.8,False,Current,0.2,133,4.5,38.6,False,4145,49.5,0
+4125,63,Female,128,76,182,51,101,133,163,7.2,22.8,67,127,Asymptomatic,False,0.8,False,Never,4.6,158,7.2,36.9,True,4863,75.4,0
+4126,61,Female,130,88,208,44,135,174,119,5.7,27.1,92,147,Asymptomatic,True,2.0,False,Never,1.5,91,6.9,20.9,False,6226,48.9,1
+4127,52,Male,143,90,190,77,94,125,126,5.7,20.4,83,147,Asymptomatic,True,1.6,False,Never,7.3,133,7.5,61.6,False,7074,47.8,1
+4128,29,Male,108,72,226,39,146,217,126,5.8,21.3,88,173,Asymptomatic,True,5.7,True,Never,11.4,105,5.8,56.8,False,2768,52.0,1
+4129,52,Female,134,88,248,58,148,199,134,5.5,24.6,88,156,Asymptomatic,False,1.8,True,Never,0.7,19,6.4,52.9,False,3423,46.4,0
+4130,66,Male,141,97,242,59,145,152,133,6.6,25.7,89,124,Typical Angina,False,1.5,False,Former,6.9,2,7.9,56.8,True,8278,30.8,1
+4131,63,Female,151,111,196,61,105,138,156,6.7,29.6,79,171,Atypical Angina,False,1.4,False,Former,1.7,0,8.6,54.4,False,4187,45.6,0
+4132,53,Female,134,76,210,55,119,164,137,6.1,23.4,78,169,Typical Angina,False,0.2,False,Former,7.5,125,8.5,43.4,True,7856,75.2,0
+4133,72,Male,131,88,207,69,113,176,152,6.8,32.9,89,140,Asymptomatic,True,0.5,False,Former,2.3,144,5.0,61.4,True,1926,81.4,1
+4134,40,Male,118,59,138,42,79,114,141,5.9,28.7,75,193,Asymptomatic,False,1.1,False,Current,2.4,137,6.0,64.4,False,7705,79.3,0
+4135,60,Female,135,86,219,48,148,162,127,6.2,22.0,86,166,Non-Anginal Pain,True,1.3,False,Former,3.8,153,6.3,36.4,False,3123,51.6,1
+4136,76,Male,143,94,185,42,117,136,126,6.3,24.7,73,117,Atypical Angina,False,4.4,False,Current,12.2,104,8.6,44.4,False,2500,76.1,1
+4137,75,Female,122,87,156,69,69,117,153,6.7,30.9,88,155,Typical Angina,False,1.4,False,Never,0.5,112,6.3,19.3,True,11312,48.3,0
+4138,80,Male,153,91,195,66,122,64,117,5.4,34.5,81,122,Non-Anginal Pain,False,0.4,True,Never,8.5,131,6.4,24.0,True,9269,72.2,1
+4139,38,Male,103,73,236,62,129,168,153,6.9,25.5,92,193,Non-Anginal Pain,False,0.1,False,Never,6.4,115,8.3,64.1,False,1358,78.7,0
+4140,49,Male,124,65,173,56,80,136,126,6.7,27.8,74,171,Typical Angina,False,0.5,True,Former,7.1,120,6.7,61.7,True,9966,38.0,0
+4141,56,Male,127,72,151,31,97,139,116,5.6,30.9,82,151,Asymptomatic,False,1.5,False,Never,7.7,144,5.6,42.8,True,4016,59.1,1
+4142,65,Male,112,76,139,58,81,55,113,6.4,20.8,81,130,Non-Anginal Pain,False,1.4,False,Former,5.6,52,5.6,56.3,False,4767,67.5,0
+4143,39,Male,121,80,132,79,38,100,115,5.2,21.5,66,197,Non-Anginal Pain,True,0.6,False,Former,5.7,156,6.4,43.7,False,5613,63.8,0
+4144,58,Male,129,92,167,39,88,150,120,5.8,23.6,62,150,Asymptomatic,True,1.2,False,Never,3.8,79,5.8,56.6,False,7263,49.9,1
+4145,44,Male,139,85,192,47,107,146,123,6.1,33.4,89,145,Typical Angina,False,3.2,True,Former,2.3,58,6.4,50.3,False,5073,66.9,1
+4146,53,Female,132,85,212,88,112,86,155,6.9,19.3,72,162,Atypical Angina,True,0.3,False,Former,5.7,178,6.9,54.1,True,10273,59.8,1
+4147,33,Female,101,54,170,73,68,196,131,5.8,18.4,70,171,Asymptomatic,False,0.1,True,Never,0.7,167,6.3,56.1,True,9081,52.5,0
+4148,63,Female,132,86,204,79,90,152,141,6.6,25.6,85,130,Typical Angina,False,2.6,False,Never,5.9,95,5.4,46.7,True,7231,49.4,1
+4149,29,Male,120,67,216,71,101,179,125,5.8,18.8,96,169,Typical Angina,True,1.0,True,Former,12.1,205,7.8,62.7,False,5849,29.4,0
+4150,59,Male,139,91,210,48,134,123,105,6.1,22.1,98,158,Asymptomatic,True,0.3,True,Former,6.5,64,7.1,55.7,False,2241,50.1,1
+4151,38,Female,129,66,181,37,113,137,143,6.2,28.1,88,185,Asymptomatic,False,0.4,False,Never,1.5,132,9.3,26.6,False,2498,73.1,0
+4152,44,Female,129,76,245,59,139,204,162,7.2,30.2,69,165,Atypical Angina,False,2.4,False,Former,3.9,122,7.5,62.5,False,5847,52.9,0
+4153,62,Male,149,86,190,53,131,98,122,6.0,26.9,78,147,Asymptomatic,False,0.2,False,Current,11.8,169,7.1,44.4,False,4699,54.8,0
+4154,58,Male,130,73,183,53,113,95,131,6.3,21.2,74,162,Asymptomatic,True,4.8,True,Never,1.5,42,5.2,33.3,False,6682,85.1,1
+4155,38,Male,124,92,138,46,72,154,118,5.6,15.3,68,188,Asymptomatic,False,0.4,False,Current,1.6,133,7.6,50.8,False,5590,43.5,0
+4156,23,Female,102,74,175,54,81,198,85,5.1,25.6,68,203,Non-Anginal Pain,False,1.3,True,Never,5.2,214,7.0,61.9,True,6861,72.2,0
+4157,57,Male,135,86,162,77,53,195,142,6.8,22.1,90,131,Typical Angina,True,1.7,False,Never,7.9,141,5.6,78.7,False,4345,51.3,1
+4158,57,Male,118,82,212,52,121,152,115,5.8,28.0,99,158,Typical Angina,True,2.5,False,Former,6.5,39,7.6,39.6,True,6380,58.7,1
+4159,34,Female,131,74,216,66,139,102,107,5.6,24.7,88,192,Non-Anginal Pain,False,0.9,False,Former,2.8,111,7.6,31.5,False,10201,81.8,0
+4160,78,Male,144,100,182,68,92,111,127,5.2,26.2,76,155,Asymptomatic,False,0.9,True,Never,5.7,160,4.8,35.4,True,7760,41.5,0
+4161,66,Female,136,79,168,55,71,186,110,5.3,34.0,94,144,Asymptomatic,False,1.2,True,Never,4.0,0,5.7,57.1,True,7101,69.9,0
+4162,35,Female,118,66,184,60,98,169,88,4.6,25.5,73,204,Non-Anginal Pain,True,0.3,True,Former,0.1,217,7.1,23.3,True,7460,85.2,0
+4163,66,Female,115,74,183,45,119,103,99,5.6,19.7,88,143,Non-Anginal Pain,False,1.1,True,Current,3.5,69,5.7,40.8,False,4349,44.0,0
+4164,36,Male,128,63,159,54,84,104,145,6.7,33.2,80,198,Asymptomatic,False,0.9,False,Former,2.5,54,5.5,22.2,False,3172,66.2,0
+4165,75,Male,155,89,215,55,152,64,97,5.9,21.1,75,124,Atypical Angina,True,1.2,False,Current,1.7,258,6.5,85.7,False,4687,50.6,1
+4166,76,Female,123,69,160,48,104,73,119,5.6,29.0,77,137,Asymptomatic,True,0.3,False,Former,5.3,193,7.0,39.0,True,2893,84.4,0
+4167,77,Male,131,76,256,57,175,74,153,6.9,22.5,74,146,Asymptomatic,True,4.4,True,Former,2.4,217,9.7,45.3,True,4726,57.3,1
+4168,38,Male,126,81,157,35,98,133,109,5.5,25.4,79,197,Atypical Angina,False,0.2,False,Former,3.2,187,7.5,37.8,False,1254,73.1,0
+4169,50,Male,132,89,193,72,101,171,121,5.6,24.6,78,198,Atypical Angina,False,0.9,False,Former,4.9,229,6.6,43.9,False,8005,57.5,0
+4170,37,Female,126,79,168,53,82,144,86,4.8,22.9,65,175,Atypical Angina,False,0.6,False,Former,5.3,200,5.7,51.5,True,8990,51.0,0
+4171,41,Male,119,65,152,33,117,165,112,5.4,24.1,89,172,Non-Anginal Pain,False,0.2,False,Never,15.0,49,7.5,10.1,False,5775,63.2,0
+4172,81,Female,153,96,228,54,122,230,126,6.2,25.9,83,133,Asymptomatic,False,0.6,True,Never,3.7,194,6.8,40.3,True,4471,52.1,0
+4173,56,Female,146,107,149,65,68,88,103,5.5,19.2,76,174,Atypical Angina,False,0.8,False,Never,11.6,178,9.0,46.6,True,9061,62.5,0
+4174,51,Male,118,71,204,39,133,187,119,5.7,28.3,72,158,Asymptomatic,True,0.9,True,Current,5.6,97,9.4,43.0,True,5869,29.7,1
+4175,52,Male,136,90,198,27,127,213,129,6.3,31.3,89,143,Asymptomatic,False,1.3,False,Current,11.0,89,6.4,53.9,True,9585,75.5,1
+4176,43,Male,140,96,171,34,100,182,174,7.4,42.3,94,165,Non-Anginal Pain,True,2.6,False,Never,4.5,24,6.4,46.7,False,7019,32.9,1
+4177,47,Female,129,83,188,60,90,196,98,5.4,24.5,76,183,Asymptomatic,False,1.5,False,Never,12.3,238,8.1,48.7,True,5781,48.1,0
+4178,61,Male,147,90,196,54,92,212,117,5.3,24.6,86,189,Non-Anginal Pain,True,1.9,False,Never,10.0,175,5.6,52.6,True,5220,67.5,0
+4179,50,Female,102,56,189,64,104,69,104,5.1,29.2,93,155,Atypical Angina,False,0.7,False,Former,9.8,129,5.9,48.2,False,3320,53.7,1
+4180,49,Female,118,73,168,58,85,107,67,4.2,23.9,77,168,Asymptomatic,True,1.1,False,Never,5.3,155,7.6,23.8,False,3096,75.4,0
+4181,52,Female,131,72,174,61,89,58,121,5.8,23.2,75,177,Asymptomatic,False,0.7,False,Never,17.9,173,5.5,41.5,False,6448,56.1,0
+4182,55,Male,121,80,130,43,74,109,105,5.4,17.8,79,170,Asymptomatic,True,0.4,False,Never,7.1,138,5.1,57.5,True,3636,79.4,0
+4183,52,Female,127,74,218,46,135,127,101,5.4,27.6,92,189,Non-Anginal Pain,False,1.8,True,Never,2.7,84,6.7,45.0,False,4417,40.7,0
+4184,48,Female,128,88,240,72,134,122,113,5.8,21.4,76,176,Asymptomatic,False,0.1,False,Never,0.4,170,8.0,55.1,False,4550,59.4,0
+4185,48,Female,117,85,217,69,116,137,101,5.2,19.5,93,184,Asymptomatic,False,0.6,False,Never,0.8,93,7.3,85.2,False,2411,81.0,0
+4186,60,Male,133,95,216,69,119,169,86,5.0,22.3,66,174,Asymptomatic,False,0.0,False,Current,3.9,263,7.0,39.0,True,8193,52.7,0
+4187,50,Male,122,71,229,56,131,170,116,5.4,20.8,69,181,Non-Anginal Pain,False,0.2,False,Current,8.9,190,7.4,38.5,True,9154,63.3,0
+4188,51,Male,154,109,211,54,122,202,134,6.4,34.0,82,187,Non-Anginal Pain,False,1.4,True,Never,4.2,75,6.1,61.9,False,4796,61.6,1
+4189,45,Male,147,104,224,86,97,198,120,5.5,28.5,90,190,Asymptomatic,False,1.0,False,Never,5.6,176,4.3,47.2,False,7086,66.1,0
+4190,53,Male,122,78,200,50,114,160,96,4.9,24.6,87,185,Atypical Angina,False,1.1,False,Never,2.2,200,5.5,45.7,True,9893,47.8,0
+4191,61,Male,123,84,189,45,121,168,155,6.5,22.4,80,180,Typical Angina,False,0.1,False,Never,14.8,129,8.4,42.0,False,4369,66.4,0
+4192,30,Female,131,89,162,55,76,163,162,6.6,26.4,74,191,Asymptomatic,False,0.3,False,Never,2.3,130,8.2,55.3,True,10377,62.5,0
+4193,57,Female,141,97,219,38,144,195,113,5.5,38.0,94,161,Asymptomatic,True,1.8,False,Current,1.3,0,7.4,61.3,False,6957,67.6,1
+4194,62,Female,121,83,210,60,99,237,135,5.7,23.7,93,163,Asymptomatic,False,0.5,False,Never,8.1,68,6.7,76.4,False,5395,79.9,0
+4195,54,Male,126,79,145,47,81,91,112,5.6,24.1,80,161,Non-Anginal Pain,False,1.6,False,Never,9.5,95,8.4,77.1,False,8321,46.8,1
+4196,46,Female,112,75,162,55,107,53,122,6.1,33.1,89,188,Asymptomatic,False,1.6,False,Never,1.9,46,6.8,50.4,True,6578,50.3,0
+4197,67,Female,139,74,231,46,152,180,144,6.8,22.6,82,156,Typical Angina,False,1.8,False,Never,8.1,172,6.3,40.2,True,8969,34.0,1
+4198,67,Female,137,88,188,40,109,211,138,6.5,24.8,80,152,Non-Anginal Pain,False,0.7,False,Never,3.7,126,5.7,66.1,True,8845,56.5,1
+4199,42,Male,87,57,158,40,107,89,89,4.6,21.2,72,188,Typical Angina,False,0.2,True,Current,3.7,318,8.8,29.7,True,8748,53.0,0
+4200,60,Female,157,98,199,62,102,223,136,6.0,22.6,76,152,Non-Anginal Pain,False,0.4,False,Former,13.3,165,6.7,42.3,False,5545,43.9,0
+4201,57,Female,111,68,225,38,136,243,143,6.5,33.5,85,148,Atypical Angina,False,3.1,False,Never,5.8,57,7.3,63.6,False,6275,47.9,1
+4202,27,Male,100,60,163,45,77,241,105,5.6,27.0,91,205,Typical Angina,False,0.7,True,Never,10.5,85,5.1,48.7,False,3278,65.8,0
+4203,58,Male,131,79,134,48,66,71,122,5.8,16.8,78,167,Atypical Angina,True,1.0,False,Former,2.9,177,5.8,69.9,False,6917,83.1,0
+4204,36,Male,124,73,166,49,90,165,78,4.7,22.6,61,206,Non-Anginal Pain,False,0.8,False,Never,15.1,124,8.9,57.3,False,5034,61.6,0
+4205,54,Female,145,91,198,66,98,156,85,4.6,21.2,71,185,Asymptomatic,False,1.5,True,Never,7.1,133,5.8,81.5,False,5112,47.6,0
+4206,35,Female,129,69,181,62,93,145,129,5.9,21.3,81,186,Typical Angina,False,1.6,False,Never,1.3,113,7.4,65.3,False,4193,58.1,1
+4207,61,Male,130,86,221,39,132,202,90,5.1,25.6,81,155,Atypical Angina,True,1.4,False,Current,8.5,204,6.5,31.6,True,6814,43.3,1
+4208,85,Male,117,61,194,38,128,94,62,4.0,25.6,79,126,Asymptomatic,False,1.7,False,Never,2.4,72,6.5,38.9,True,5193,57.8,0
+4209,46,Female,101,75,156,38,106,73,91,4.8,21.6,76,169,Asymptomatic,False,1.2,False,Never,2.1,167,7.8,35.5,False,6024,54.9,0
+4210,42,Female,123,66,210,55,125,102,100,5.2,22.1,82,196,Atypical Angina,False,1.0,True,Never,0.4,233,4.2,63.1,True,5406,47.3,0
+4211,33,Female,118,77,232,86,120,136,118,5.7,29.9,77,202,Asymptomatic,False,0.9,False,Former,22.3,212,6.0,25.7,True,10337,79.6,0
+4212,41,Male,127,84,242,53,152,147,133,6.0,25.0,66,161,Non-Anginal Pain,False,1.3,True,Never,4.2,170,6.2,14.6,False,5876,38.0,1
+4213,68,Male,141,102,235,53,159,97,123,5.9,29.5,74,154,Atypical Angina,False,0.7,False,Former,3.9,162,8.1,63.2,False,4226,64.8,1
+4214,55,Male,123,84,182,60,77,208,162,6.5,28.1,74,177,Non-Anginal Pain,True,0.1,False,Former,9.4,211,6.7,28.5,True,9569,68.5,0
+4215,31,Male,124,82,222,52,143,157,108,5.4,21.5,79,210,Non-Anginal Pain,False,0.1,False,Former,2.4,160,4.4,65.8,False,7956,63.3,0
+4216,51,Male,125,78,213,48,136,170,117,5.9,31.2,84,168,Asymptomatic,False,3.6,True,Never,4.1,136,8.0,37.0,True,6702,63.7,0
+4217,49,Female,132,96,158,56,46,196,73,5.1,26.9,84,160,Asymptomatic,False,0.1,True,Never,5.0,91,7.4,28.1,False,3637,62.6,0
+4218,62,Male,126,84,173,47,109,110,111,5.1,17.0,54,168,Typical Angina,False,0.5,False,Never,6.0,237,5.0,34.9,True,10964,55.3,0
+4219,47,Male,119,69,170,53,85,88,117,5.2,24.0,72,169,Atypical Angina,False,2.2,False,Never,9.6,134,6.2,31.1,True,9294,80.6,1
+4220,59,Male,148,86,144,52,68,141,111,5.5,33.7,71,161,Asymptomatic,False,0.1,False,Never,11.4,164,5.8,59.2,True,6838,71.0,1
+4221,53,Male,147,93,237,52,139,210,152,6.0,34.8,89,167,Typical Angina,True,1.5,True,Never,4.2,130,6.0,58.1,False,4451,59.4,1
+4222,32,Female,134,89,168,50,98,110,143,6.4,25.5,74,190,Non-Anginal Pain,True,1.0,True,Never,1.8,61,7.8,57.0,False,6981,64.6,0
+4223,40,Male,126,92,186,27,126,155,84,4.7,24.9,84,175,Atypical Angina,False,1.4,False,Never,14.4,87,5.7,68.1,False,5131,37.4,1
+4224,71,Male,131,87,171,51,93,123,95,5.0,23.3,69,160,Non-Anginal Pain,False,1.4,False,Never,8.4,35,6.5,31.7,False,3117,48.4,0
+4225,59,Male,111,71,227,41,134,226,125,5.9,26.8,83,181,Asymptomatic,False,0.3,False,Never,5.9,146,6.9,26.5,True,8317,59.2,0
+4226,56,Male,138,70,125,46,63,74,103,5.0,18.6,86,178,Asymptomatic,False,0.3,False,Former,5.2,4,8.0,43.9,False,4052,74.2,0
+4227,54,Female,147,96,159,42,88,100,118,6.2,28.0,84,183,Atypical Angina,False,0.8,False,Never,0.1,133,6.7,43.9,True,6232,58.7,0
+4228,33,Female,95,58,173,59,88,107,134,5.5,25.5,83,190,Asymptomatic,False,1.1,True,Former,4.8,158,7.2,27.0,True,8392,62.6,0
+4229,50,Male,140,78,190,57,99,192,131,6.9,24.1,103,171,Non-Anginal Pain,False,1.0,False,Current,6.5,68,8.0,70.3,False,7017,47.6,0
+4230,60,Male,117,64,147,50,69,35,110,5.3,22.1,81,177,Asymptomatic,False,0.2,False,Never,4.7,214,9.0,36.9,True,7684,81.2,0
+4231,64,Male,144,95,144,38,84,163,101,5.1,22.2,82,156,Asymptomatic,False,1.3,False,Former,2.5,48,7.3,40.0,False,849,56.0,0
+4232,68,Male,117,82,189,61,99,159,148,6.6,24.0,91,147,Asymptomatic,False,1.4,False,Former,5.2,206,8.9,43.8,True,6643,76.6,0
+4233,59,Female,130,82,139,47,71,93,117,5.7,20.5,66,161,Non-Anginal Pain,False,1.9,False,Never,4.7,125,8.6,38.9,False,5353,61.8,0
+4234,62,Male,112,71,152,67,97,40,102,5.3,20.5,90,155,Non-Anginal Pain,True,2.0,False,Never,2.3,170,7.0,23.2,True,6816,59.2,0
+4235,47,Female,131,79,192,50,92,212,120,5.9,24.3,86,197,Atypical Angina,False,0.1,True,Never,6.3,98,7.1,27.6,False,4268,43.5,0
+4236,73,Male,139,85,155,31,109,91,130,5.9,27.3,106,131,Asymptomatic,False,0.3,False,Never,6.2,101,8.1,46.8,False,6129,47.8,0
+4237,42,Female,108,80,137,73,53,61,122,5.8,26.7,85,181,Asymptomatic,False,0.8,False,Never,1.2,103,7.3,43.2,True,6357,59.9,0
+4238,59,Female,114,64,200,60,99,154,118,6.4,23.9,87,162,Non-Anginal Pain,False,1.8,False,Never,6.1,79,6.5,68.5,False,4442,63.2,0
+4239,51,Female,124,76,189,71,94,185,130,6.4,25.3,88,148,Asymptomatic,False,0.0,False,Never,5.8,130,6.9,37.7,False,4271,47.0,0
+4240,71,Male,147,81,157,56,69,143,134,6.4,31.4,71,153,Typical Angina,False,0.8,False,Never,3.6,158,5.7,26.2,True,8407,100.0,0
+4241,53,Male,132,80,236,52,137,208,89,4.7,29.3,90,148,Asymptomatic,False,1.3,False,Never,10.1,82,8.1,59.5,False,2943,43.4,1
+4242,64,Male,157,107,238,78,157,111,77,4.9,23.2,85,154,Asymptomatic,False,1.2,True,Never,16.6,103,6.7,70.7,False,5886,49.0,0
+4243,45,Male,103,70,149,49,59,251,136,5.9,26.5,72,163,Asymptomatic,False,0.5,False,Never,3.1,108,8.1,48.3,False,3726,54.3,0
+4244,70,Female,133,95,225,51,120,194,131,5.6,24.8,91,142,Asymptomatic,False,0.8,False,Current,0.7,142,8.7,60.7,True,6352,55.2,1
+4245,67,Male,150,97,209,50,115,254,135,5.8,28.7,84,138,Asymptomatic,True,1.0,False,Former,2.6,135,6.0,63.2,True,7152,53.5,1
+4246,75,Male,136,87,190,53,100,148,107,5.5,21.2,85,159,Non-Anginal Pain,False,0.1,False,Current,4.1,20,6.0,62.8,False,3116,59.2,0
+4247,51,Male,132,88,123,36,49,168,99,5.2,28.9,90,172,Non-Anginal Pain,False,0.1,True,Never,4.2,155,8.3,58.8,False,6141,61.4,0
+4248,66,Male,131,88,227,53,123,216,138,6.2,24.4,77,127,Typical Angina,False,1.2,False,Former,17.2,68,5.3,48.2,False,6898,52.0,1
+4249,64,Female,130,80,171,50,87,176,132,6.1,19.8,72,137,Atypical Angina,False,3.6,False,Current,3.0,187,7.6,45.2,True,5897,80.2,1
+4250,70,Female,125,83,168,28,117,88,94,5.1,19.7,92,128,Non-Anginal Pain,True,1.0,False,Current,10.0,36,7.3,65.2,False,4938,61.8,1
+4251,64,Male,127,84,178,58,104,125,130,6.2,24.5,67,155,Asymptomatic,False,1.1,False,Never,7.6,229,7.9,58.1,True,7155,76.9,0
+4252,57,Female,145,91,205,53,140,65,121,6.3,25.0,93,160,Asymptomatic,False,0.5,False,Never,3.3,63,8.1,73.3,False,5339,66.7,0
+4253,70,Female,132,93,140,65,63,55,148,7.0,16.9,77,136,Asymptomatic,False,0.5,True,Former,2.4,141,7.1,29.0,True,10413,34.1,0
+4254,20,Male,134,86,151,62,91,73,94,5.0,26.2,81,195,Asymptomatic,False,1.2,True,Never,8.9,132,6.8,72.5,False,6169,58.6,0
+4255,51,Male,114,64,172,51,97,78,108,5.6,19.8,83,159,Non-Anginal Pain,True,3.1,False,Never,5.0,62,8.9,35.2,True,4808,39.3,1
+4256,44,Female,138,88,183,60,117,52,116,5.2,30.9,78,186,Typical Angina,False,0.9,False,Former,1.1,234,5.1,49.7,False,7120,84.4,0
+4257,70,Female,126,86,198,58,117,164,123,6.3,29.6,87,139,Non-Anginal Pain,False,0.2,False,Never,0.1,124,8.5,53.3,True,9435,73.2,0
+4258,52,Female,112,58,162,87,43,138,75,4.3,18.6,71,188,Typical Angina,False,1.2,False,Never,0.3,254,6.2,23.8,False,8179,100.0,0
+4259,65,Female,115,63,255,67,118,247,127,5.5,30.6,78,140,Atypical Angina,False,0.2,False,Never,0.7,164,5.9,30.5,False,4794,55.7,1
+4260,57,Female,139,95,210,62,112,195,126,6.3,27.0,73,141,Typical Angina,True,0.6,False,Former,7.5,176,6.1,63.5,False,4300,48.5,1
+4261,69,Male,143,100,124,49,56,157,119,5.6,25.4,82,138,Non-Anginal Pain,False,1.7,False,Never,11.0,5,8.7,72.0,True,5146,59.3,0
+4262,66,Male,127,89,215,49,124,176,120,5.6,17.6,69,139,Typical Angina,True,0.3,False,Never,9.8,156,7.8,51.3,False,2422,25.0,1
+4263,55,Male,140,95,218,79,109,143,142,7.4,32.7,77,149,Non-Anginal Pain,True,1.9,True,Never,1.6,61,5.9,87.4,True,6639,49.1,1
+4264,62,Female,120,65,275,47,175,253,89,5.6,28.4,79,152,Atypical Angina,False,5.2,False,Current,7.7,171,8.2,59.0,True,6018,38.3,1
+4265,55,Female,131,76,215,75,105,157,135,6.2,31.5,92,142,Typical Angina,False,2.0,False,Never,3.6,92,4.7,37.3,False,7685,70.6,1
+4266,49,Female,122,91,215,53,113,244,128,5.8,22.0,88,166,Asymptomatic,True,0.8,False,Never,1.9,100,6.3,38.6,False,5561,35.7,1
+4267,62,Female,155,93,173,48,91,168,84,5.1,24.7,82,140,Typical Angina,False,0.7,False,Never,6.9,58,8.3,34.5,False,4360,69.9,0
+4268,75,Male,157,94,174,45,107,143,100,5.4,31.0,82,136,Asymptomatic,False,1.0,False,Never,6.2,150,5.8,66.7,True,8703,51.7,1
+4269,66,Male,112,68,155,56,78,125,118,5.9,21.6,85,157,Asymptomatic,False,0.6,False,Former,9.8,59,6.3,50.4,False,2501,82.8,0
+4270,45,Female,144,93,172,57,77,165,184,7.2,36.0,86,200,Non-Anginal Pain,False,1.6,True,Current,3.3,89,6.5,48.9,False,5380,74.7,0
+4271,66,Female,130,91,190,54,108,131,171,6.8,23.8,76,141,Atypical Angina,False,1.4,False,Never,0.3,107,6.4,44.7,True,6634,71.8,0
+4272,45,Male,139,78,187,65,87,190,139,6.0,22.7,77,187,Asymptomatic,False,0.7,False,Former,7.8,177,6.3,27.0,False,6842,63.9,0
+4273,18,Male,133,80,208,68,129,162,117,5.5,27.0,71,205,Non-Anginal Pain,False,0.9,True,Never,6.9,171,6.4,52.3,False,6460,83.3,0
+4274,43,Female,124,70,155,73,69,126,104,5.2,21.3,56,194,Atypical Angina,False,0.8,True,Never,6.8,283,7.9,51.4,True,6558,75.7,0
+4275,57,Male,129,96,204,57,119,106,82,5.1,20.0,84,159,Asymptomatic,False,1.8,False,Current,3.0,190,8.9,61.1,True,10730,39.2,0
+4276,36,Female,137,95,164,29,86,162,145,5.8,28.7,89,171,Non-Anginal Pain,False,0.3,False,Former,18.0,142,7.1,49.9,True,7339,63.0,0
+4277,57,Female,142,91,189,29,128,98,139,6.2,35.8,72,166,Asymptomatic,False,2.5,True,Former,1.6,164,7.8,51.3,True,7159,65.1,1
+4278,70,Male,144,87,186,71,99,94,107,5.7,19.6,79,132,Non-Anginal Pain,False,0.1,False,Never,1.6,189,5.4,63.4,False,2811,67.9,1
+4279,54,Female,133,92,209,81,108,136,113,5.4,18.6,80,172,Typical Angina,False,0.6,False,Never,1.7,194,6.0,50.0,True,10693,69.1,0
+4280,61,Male,120,81,153,37,91,88,118,5.9,24.8,86,154,Asymptomatic,False,0.9,False,Current,4.8,0,7.9,60.5,False,5583,54.0,0
+4281,51,Male,125,82,227,62,136,179,81,5.0,19.6,96,156,Atypical Angina,False,1.5,False,Never,10.2,83,7.9,54.4,False,6005,41.0,0
+4282,24,Male,103,64,221,65,129,168,129,5.9,28.6,87,207,Asymptomatic,False,2.0,False,Current,6.0,212,4.8,39.0,True,9786,62.0,0
+4283,58,Female,106,60,223,57,130,191,163,6.8,24.0,81,170,Typical Angina,False,1.0,False,Never,1.8,144,6.2,27.8,True,6054,60.0,0
+4284,45,Male,114,75,195,35,115,202,137,6.1,21.6,89,167,Non-Anginal Pain,True,2.1,False,Never,19.3,115,7.5,41.8,True,7020,35.8,1
+4285,59,Male,125,72,196,63,110,125,131,6.7,31.0,94,161,Non-Anginal Pain,False,0.1,False,Never,4.3,97,7.2,70.1,True,5510,69.7,0
+4286,29,Male,135,80,168,40,74,232,95,4.8,24.3,66,182,Non-Anginal Pain,False,0.6,False,Never,28.4,141,6.7,31.9,False,9040,68.1,0
+4287,57,Male,153,99,215,47,150,120,151,6.4,33.8,87,148,Asymptomatic,False,1.3,False,Former,8.7,81,9.5,39.1,False,5269,59.9,1
+4288,62,Female,122,68,221,34,142,176,153,6.2,26.5,76,169,Typical Angina,True,2.0,True,Current,3.6,68,6.7,57.3,False,5689,60.3,1
+4289,73,Male,148,79,131,52,53,111,119,5.5,27.8,89,163,Asymptomatic,False,1.4,True,Never,3.6,108,7.5,54.1,False,5790,54.8,0
+4290,58,Male,140,90,149,43,100,120,121,5.5,26.6,73,163,Asymptomatic,True,0.8,True,Never,3.0,131,6.9,50.1,False,4385,43.5,0
+4291,38,Female,127,77,190,76,76,188,105,5.5,23.5,73,210,Asymptomatic,False,0.6,True,Never,4.5,256,6.3,49.6,True,9508,64.0,0
+4292,55,Male,132,80,140,50,73,139,127,6.0,25.1,89,162,Atypical Angina,False,1.6,False,Never,8.1,127,6.8,65.6,False,8440,40.9,0
+4293,30,Female,121,84,218,47,139,191,72,4.5,32.9,78,185,Non-Anginal Pain,False,1.1,False,Never,0.8,154,8.5,53.0,False,6097,25.9,0
+4294,30,Female,114,78,200,61,101,229,128,5.5,24.8,69,198,Atypical Angina,False,0.5,True,Current,2.9,189,8.3,48.6,True,6430,52.6,0
+4295,58,Male,136,81,206,55,126,140,118,5.7,28.1,78,163,Atypical Angina,True,1.1,False,Never,17.2,101,9.1,63.9,False,3688,52.8,1
+4296,62,Male,134,78,191,60,108,124,156,7.3,34.8,72,154,Asymptomatic,False,0.5,False,Never,3.0,114,7.7,37.9,False,2893,60.1,0
+4297,58,Male,121,77,257,41,161,272,113,5.7,30.9,83,142,Atypical Angina,False,0.4,False,Former,8.9,0,5.6,32.3,False,4339,31.2,1
+4298,71,Male,125,78,185,41,121,155,154,7.0,27.4,74,139,Non-Anginal Pain,True,3.1,False,Former,11.6,192,9.1,35.3,False,4404,66.0,1
+4299,65,Female,122,81,214,68,122,101,105,5.1,23.1,78,140,Atypical Angina,True,2.6,False,Never,3.9,284,7.1,31.1,True,5036,100.0,1
+4300,62,Male,136,91,216,47,120,237,112,5.7,23.2,76,155,Atypical Angina,False,0.2,False,Former,4.8,37,7.2,38.8,True,10241,41.5,0
+4301,34,Male,138,80,205,39,144,85,123,5.4,29.7,84,210,Non-Anginal Pain,False,0.6,False,Former,8.6,220,5.2,38.4,True,10480,48.0,0
+4302,46,Male,113,71,206,57,110,196,130,6.4,23.7,91,171,Atypical Angina,False,0.3,True,Never,7.0,62,8.1,83.4,False,2809,56.1,0
+4303,57,Male,134,84,176,43,126,53,145,6.4,25.3,92,143,Asymptomatic,True,1.3,True,Never,3.3,51,7.1,52.1,False,6237,41.8,1
+4304,36,Female,112,68,184,58,101,151,130,6.1,21.2,63,203,Non-Anginal Pain,False,0.2,False,Former,3.0,104,7.0,19.2,False,2537,73.1,0
+4305,39,Female,102,55,185,65,105,114,144,6.4,26.9,93,180,Non-Anginal Pain,True,0.4,False,Former,11.5,84,7.1,19.8,True,9553,43.6,0
+4306,35,Male,92,59,192,51,104,148,79,4.6,20.8,69,187,Non-Anginal Pain,False,0.3,False,Never,6.9,152,7.0,27.5,False,6960,24.4,0
+4307,46,Female,100,57,189,70,114,101,106,5.2,20.4,68,154,Typical Angina,False,0.4,True,Never,0.1,106,7.2,33.4,False,3752,77.3,0
+4308,57,Female,130,83,154,52,99,35,163,6.8,24.1,76,162,Atypical Angina,False,1.0,True,Never,0.3,100,7.5,61.1,False,1801,78.3,0
+4309,70,Female,133,88,185,50,121,112,110,5.3,27.7,93,132,Atypical Angina,False,0.6,False,Current,0.6,172,6.8,71.3,True,6443,60.1,1
+4310,55,Male,121,75,141,40,83,151,118,5.6,20.0,89,162,Asymptomatic,False,4.1,False,Former,7.2,110,7.1,39.2,True,7627,57.7,1
+4311,50,Male,127,81,210,71,96,179,109,5.2,31.6,78,190,Typical Angina,True,1.6,True,Never,3.2,202,6.8,34.5,True,5377,77.8,0
+4312,41,Male,128,86,158,59,71,218,114,6.0,19.8,83,179,Asymptomatic,False,0.1,True,Never,7.7,161,5.2,28.4,True,10245,72.1,0
+4313,72,Male,134,104,193,42,101,240,154,7.0,26.1,75,144,Typical Angina,False,0.2,False,Never,16.8,200,9.4,62.7,True,6945,35.0,0
+4314,58,Female,120,98,187,55,100,179,60,4.1,24.5,74,144,Asymptomatic,False,0.2,False,Never,10.2,57,6.9,55.5,False,5821,45.3,0
+4315,64,Female,120,72,187,82,75,146,85,4.6,22.1,91,152,Asymptomatic,False,0.3,False,Never,25.7,84,8.6,51.1,False,3055,78.3,0
+4316,41,Male,111,66,173,75,62,214,88,4.8,15.0,76,194,Atypical Angina,False,2.8,False,Never,9.2,317,8.5,35.9,True,8241,78.1,0
+4317,38,Female,126,72,163,46,89,135,138,6.5,31.1,81,164,Atypical Angina,False,1.1,True,Former,2.1,136,7.9,46.9,False,2679,81.0,0
+4318,58,Male,88,58,128,53,40,167,112,5.4,22.1,74,161,Asymptomatic,False,0.6,True,Never,3.3,151,8.6,28.3,False,5001,96.2,0
+4319,56,Female,108,59,197,64,105,155,152,6.3,27.6,85,175,Atypical Angina,False,0.5,False,Never,6.4,270,6.4,62.5,True,8461,68.2,0
+4320,71,Female,118,69,241,50,162,164,121,6.3,23.6,90,152,Asymptomatic,True,1.3,True,Former,0.2,100,7.3,50.7,False,5789,46.5,1
+4321,46,Female,124,69,180,76,90,125,99,5.1,23.1,93,180,Asymptomatic,False,0.3,True,Former,11.3,125,6.1,50.3,False,7678,51.6,0
+4322,52,Male,137,92,217,51,125,182,142,6.2,24.3,98,179,Typical Angina,False,0.5,False,Never,3.7,177,7.7,44.9,True,9884,50.1,0
+4323,48,Male,131,81,163,52,90,139,107,5.1,28.7,65,169,Asymptomatic,False,0.3,True,Former,2.0,126,6.6,34.9,False,7135,50.1,0
+4324,68,Male,149,94,218,46,146,149,136,6.4,26.4,84,129,Asymptomatic,True,0.4,False,Current,3.2,94,6.4,49.3,False,500,37.4,1
+4325,44,Male,125,77,225,40,126,258,157,7.4,27.0,83,169,Atypical Angina,True,0.2,True,Never,5.1,146,3.2,38.3,False,4834,57.6,1
+4326,65,Female,146,88,255,61,183,82,115,5.7,26.4,95,142,Typical Angina,True,2.1,False,Former,8.8,178,8.4,51.2,True,7147,95.2,1
+4327,54,Female,116,74,245,75,117,227,156,6.2,29.8,72,175,Atypical Angina,True,0.4,False,Never,6.8,263,8.3,42.0,True,5950,41.3,1
+4328,62,Male,135,67,200,51,109,183,126,6.4,31.1,75,133,Typical Angina,False,1.9,False,Never,4.0,0,7.4,65.4,False,4198,65.9,1
+4329,72,Female,116,59,157,48,83,165,123,5.8,24.4,73,163,Asymptomatic,True,0.9,False,Never,1.0,188,9.1,42.1,True,10048,59.6,0
+4330,61,Female,137,77,244,70,137,168,132,6.1,30.1,70,157,Asymptomatic,False,0.9,False,Never,4.7,78,8.6,30.6,False,4806,75.6,1
+4331,80,Female,117,78,170,45,92,166,154,6.9,24.0,78,163,Asymptomatic,False,0.2,False,Never,7.6,139,5.9,47.6,False,8058,66.3,0
+4332,59,Female,123,77,225,56,128,189,125,5.4,22.8,96,163,Typical Angina,False,2.9,False,Former,2.5,190,8.0,63.8,True,8100,48.8,0
+4333,31,Female,137,90,205,44,131,176,146,6.7,25.8,84,178,Asymptomatic,False,0.6,False,Former,10.3,24,5.8,60.5,False,4907,49.3,1
+4334,60,Male,120,66,145,43,85,135,155,6.7,23.1,86,146,Typical Angina,True,1.5,False,Current,8.0,80,7.4,34.3,False,1252,72.3,1
+4335,52,Male,114,66,213,74,111,173,146,6.1,17.9,75,184,Non-Anginal Pain,False,0.8,True,Former,9.8,183,8.5,64.4,False,5591,76.4,0
+4336,43,Male,115,70,194,61,114,117,104,5.5,19.4,78,189,Non-Anginal Pain,False,0.3,False,Never,6.9,122,8.9,13.5,True,8414,62.6,0
+4337,52,Male,125,82,111,56,35,124,89,4.9,21.5,83,183,Atypical Angina,False,0.5,True,Former,2.4,238,6.5,47.4,True,8651,84.6,0
+4338,43,Male,121,78,155,50,84,179,152,7.0,27.1,76,193,Asymptomatic,False,0.3,False,Never,2.7,111,8.1,63.2,False,4066,64.5,0
+4339,60,Female,146,89,191,53,118,158,148,6.4,28.7,90,183,Atypical Angina,False,0.2,False,Never,0.9,64,6.3,48.3,True,6296,55.2,0
+4340,58,Female,146,96,190,57,79,227,147,6.2,31.9,87,182,Atypical Angina,False,0.8,False,Never,13.7,92,8.0,50.5,False,4385,71.9,0
+4341,66,Male,137,84,199,49,137,134,130,5.1,25.1,98,140,Asymptomatic,False,1.3,False,Never,5.3,13,5.5,56.1,False,4769,44.2,1
+4342,63,Female,106,60,265,78,166,91,148,6.5,22.7,75,181,Atypical Angina,False,0.4,False,Never,9.6,240,7.5,61.0,True,8437,56.5,0
+4343,63,Female,149,82,236,57,147,178,130,6.4,25.7,85,144,Atypical Angina,True,3.8,False,Never,6.0,124,5.9,46.4,False,8682,47.4,1
+4344,36,Male,105,65,200,68,121,35,92,4.7,17.8,75,198,Atypical Angina,True,0.1,True,Former,13.3,107,7.1,19.0,False,6630,75.9,0
+4345,51,Female,121,65,209,41,130,173,94,5.0,27.5,75,188,Asymptomatic,True,0.1,False,Current,2.6,151,8.0,68.1,False,7378,55.7,0
+4346,29,Male,121,78,205,50,116,184,106,5.7,27.6,75,191,Asymptomatic,False,0.4,False,Former,23.8,197,6.5,58.9,True,8992,80.4,0
+4347,62,Female,123,74,209,63,128,114,118,5.0,22.4,73,151,Atypical Angina,False,1.1,True,Never,6.7,110,5.7,66.5,False,2268,60.2,0
+4348,54,Male,140,80,153,58,53,157,82,5.2,23.2,86,189,Asymptomatic,False,0.8,True,Never,11.3,85,6.3,58.1,True,7993,54.2,0
+4349,58,Female,155,99,161,65,95,54,126,5.6,23.5,76,153,Asymptomatic,False,2.0,True,Never,7.2,174,6.6,45.1,False,7331,59.2,1
+4350,53,Female,144,98,218,58,153,57,116,5.2,24.8,82,178,Asymptomatic,False,1.5,False,Current,0.8,159,7.8,24.3,True,10814,65.8,0
+4351,58,Female,132,75,210,67,91,196,145,6.3,15.9,79,150,Non-Anginal Pain,False,0.6,False,Former,1.1,211,8.5,62.7,False,5484,50.8,0
+4352,28,Female,104,55,133,66,54,71,115,5.9,25.6,94,204,Atypical Angina,True,0.9,False,Former,1.1,20,6.8,36.2,True,3257,72.2,0
+4353,59,Male,123,65,221,44,142,137,144,6.5,22.8,79,133,Asymptomatic,False,1.6,False,Never,2.5,25,3.4,49.9,False,2701,50.2,1
+4354,77,Female,111,79,195,60,99,164,138,6.7,16.2,89,136,Asymptomatic,False,1.2,False,Former,0.8,57,7.7,68.6,False,4137,69.6,0
+4355,59,Female,121,77,216,65,94,247,123,6.0,22.9,95,185,Asymptomatic,False,0.1,False,Never,12.7,264,9.2,57.3,True,9251,58.0,0
+4356,48,Female,114,70,200,72,100,143,99,5.7,22.9,87,185,Non-Anginal Pain,False,0.4,False,Never,7.6,223,6.8,59.3,False,4496,63.2,0
+4357,72,Male,142,93,162,41,79,207,85,4.8,23.8,72,143,Atypical Angina,False,1.2,False,Never,3.2,177,7.2,65.8,True,8249,48.4,0
+4358,59,Female,135,91,174,70,71,168,119,5.9,25.2,76,181,Asymptomatic,False,0.7,False,Former,0.0,231,6.8,55.2,True,7260,52.4,0
+4359,59,Female,129,85,236,61,141,169,174,7.4,31.5,85,165,Asymptomatic,False,0.7,False,Current,2.9,27,7.4,45.0,False,4098,68.0,0
+4360,80,Female,132,92,210,74,124,114,117,5.5,28.5,76,134,Asymptomatic,False,0.1,False,Never,3.8,85,6.6,43.0,False,3467,60.0,0
+4361,60,Male,125,92,97,48,49,54,141,6.1,28.1,82,177,Non-Anginal Pain,False,0.4,False,Never,6.7,9,7.7,45.1,False,1505,57.7,0
+4362,46,Female,123,86,216,47,126,257,114,5.1,22.4,83,157,Asymptomatic,False,3.1,False,Current,16.4,217,8.8,45.0,True,8659,42.0,1
+4363,43,Male,130,90,174,41,100,103,78,4.6,24.4,77,176,Atypical Angina,False,0.2,False,Former,8.5,49,9.1,30.2,False,5192,66.9,0
+4364,69,Female,158,100,203,26,144,198,116,5.6,32.5,92,129,Asymptomatic,False,1.1,False,Current,3.6,91,7.3,42.4,True,5479,64.8,1
+4365,33,Female,117,80,166,43,79,168,153,5.9,28.2,71,193,Asymptomatic,False,0.1,True,Never,0.8,79,8.6,42.7,False,5218,60.5,0
+4366,48,Female,123,68,161,51,93,113,118,5.9,23.2,79,181,Asymptomatic,False,0.5,False,Never,1.8,89,8.5,47.1,True,4791,58.9,0
+4367,45,Male,130,74,196,67,127,48,67,4.1,23.8,82,166,Atypical Angina,False,0.2,True,Never,5.0,32,7.6,45.9,False,8488,77.9,0
+4368,67,Male,99,68,221,67,109,198,106,5.4,26.4,68,158,Typical Angina,False,0.1,True,Never,9.1,173,5.7,31.9,True,9331,90.2,1
+4369,51,Male,134,86,146,34,81,156,110,5.5,23.7,85,140,Asymptomatic,True,0.8,False,Never,9.8,69,6.2,44.2,True,7846,50.7,1
+4370,56,Male,120,81,177,64,82,130,119,5.2,23.6,79,170,Asymptomatic,False,0.0,False,Former,2.3,148,8.0,48.8,True,7178,91.6,0
+4371,30,Male,107,67,191,49,99,114,107,5.7,28.9,87,203,Non-Anginal Pain,False,0.9,False,Former,6.6,150,5.3,35.1,False,4619,59.1,0
+4372,47,Male,134,75,196,54,104,206,72,4.9,24.3,84,178,Asymptomatic,False,0.5,False,Never,2.4,94,8.8,56.1,False,4536,62.9,0
+4373,54,Female,125,98,187,51,102,155,147,6.0,20.7,79,171,Asymptomatic,False,0.3,False,Current,8.5,137,6.7,54.1,True,3503,69.7,0
+4374,53,Male,132,89,198,53,94,257,127,5.7,28.8,76,152,Non-Anginal Pain,False,0.7,False,Former,8.1,205,7.3,36.3,False,6119,79.2,0
+4375,54,Female,150,92,246,63,112,326,122,5.9,25.1,76,151,Asymptomatic,False,1.8,False,Former,23.0,203,5.7,36.3,True,8183,61.5,1
+4376,62,Female,139,96,192,57,105,152,134,5.5,25.1,88,171,Non-Anginal Pain,False,0.3,False,Never,1.0,128,5.8,56.6,False,6190,33.0,0
+4377,57,Female,122,76,215,61,120,141,127,6.1,21.1,80,163,Asymptomatic,False,0.9,False,Never,3.8,46,5.5,43.6,False,7098,71.5,0
+4378,71,Male,121,78,199,66,103,126,111,5.8,24.4,83,162,Asymptomatic,False,0.3,False,Never,4.4,152,6.0,34.4,False,5185,49.9,0
+4379,47,Male,94,58,196,45,121,169,121,5.8,29.2,83,154,Asymptomatic,True,1.1,True,Current,3.7,139,8.5,0.0,False,3476,98.1,1
+4380,52,Male,104,68,197,56,87,278,95,5.2,20.9,82,169,Non-Anginal Pain,False,0.7,False,Never,13.0,122,6.5,68.9,False,3515,53.5,0
+4381,48,Female,116,75,172,58,105,44,110,6.1,20.9,85,186,Asymptomatic,False,0.8,False,Never,0.5,255,7.3,55.2,True,8469,76.1,0
+4382,74,Female,123,80,214,71,120,96,105,5.1,19.3,67,135,Atypical Angina,False,0.2,False,Never,9.8,53,6.5,56.0,False,6244,69.7,0
+4383,71,Female,136,91,187,67,89,168,90,4.9,20.4,81,128,Non-Anginal Pain,False,0.1,False,Former,0.4,90,8.6,45.9,False,3259,59.5,0
+4384,37,Female,111,69,186,43,117,109,119,5.9,27.2,87,197,Asymptomatic,False,0.7,False,Former,10.4,121,7.8,37.4,False,9238,48.6,0
+4385,37,Male,124,98,183,67,61,243,138,6.1,23.4,74,180,Non-Anginal Pain,False,0.8,True,Former,9.4,280,7.5,37.9,True,6053,81.5,0
+4386,66,Female,120,65,174,59,87,167,132,6.5,30.2,86,137,Asymptomatic,False,2.1,False,Never,0.4,84,6.4,20.3,False,2265,54.2,1
+4387,67,Female,117,82,214,55,139,93,117,6.0,23.4,70,174,Asymptomatic,False,1.3,False,Former,2.2,271,6.5,36.6,True,7959,34.7,0
+4388,61,Female,139,92,185,60,96,135,153,6.8,26.0,86,145,Asymptomatic,True,2.5,False,Former,2.0,101,5.2,51.5,False,4834,57.4,1
+4389,35,Male,124,86,198,39,109,203,118,5.9,31.0,82,210,Asymptomatic,False,2.0,False,Former,26.4,173,7.1,46.3,False,9243,55.4,0
+4390,47,Male,124,80,111,55,56,81,138,6.3,26.8,73,171,Non-Anginal Pain,False,0.3,False,Never,1.7,72,5.1,37.9,True,4780,60.8,0
+4391,46,Male,124,74,204,51,116,105,172,6.9,27.8,86,146,Atypical Angina,False,0.7,False,Never,2.5,140,6.1,61.9,False,3790,66.3,1
+4392,51,Male,152,101,252,59,167,148,125,6.3,27.2,85,185,Asymptomatic,True,2.2,False,Never,12.8,155,6.9,31.2,True,5510,56.9,1
+4393,52,Female,116,79,260,68,161,156,129,5.6,21.5,75,162,Asymptomatic,False,0.4,True,Never,4.7,159,6.5,88.2,True,7693,88.1,0
+4394,33,Male,121,82,200,66,103,165,108,5.8,31.0,81,176,Asymptomatic,False,0.3,False,Never,3.6,119,7.5,72.8,True,8303,29.8,0
+4395,45,Male,124,68,139,54,62,123,176,7.5,28.9,79,175,Non-Anginal Pain,False,1.5,False,Former,12.6,208,7.7,63.8,False,4261,93.5,0
+4396,47,Female,131,85,202,47,136,110,86,4.5,21.5,87,186,Asymptomatic,False,0.1,False,Never,0.7,151,7.0,67.3,False,5637,54.9,0
+4397,27,Male,116,73,170,59,89,127,67,4.0,19.3,67,208,Atypical Angina,False,1.6,False,Former,9.9,236,7.4,41.6,False,5569,54.7,0
+4398,76,Female,158,91,208,57,130,110,164,7.5,32.5,85,135,Non-Anginal Pain,True,1.6,False,Never,8.4,79,7.8,50.0,False,5310,52.6,1
+4399,76,Male,135,84,223,63,141,72,172,7.0,24.1,75,141,Asymptomatic,False,0.4,False,Never,5.0,223,6.3,33.2,True,5176,86.0,0
+4400,43,Female,110,60,215,57,124,142,116,6.1,21.8,81,157,Asymptomatic,False,1.2,True,Never,3.2,116,7.1,57.5,False,6799,52.2,1
+4401,47,Female,105,73,181,51,115,103,118,6.3,27.0,83,193,Asymptomatic,False,0.0,False,Never,0.1,212,9.2,56.5,True,6953,69.1,0
+4402,47,Female,108,73,178,64,96,109,125,5.9,21.8,83,189,Asymptomatic,False,0.1,False,Current,8.5,235,5.9,55.3,True,7685,63.3,0
+4403,44,Female,131,87,219,50,141,193,140,6.4,28.8,83,156,Asymptomatic,True,3.1,False,Former,7.2,144,7.2,61.0,True,5740,47.9,1
+4404,61,Male,126,89,153,34,86,162,151,6.6,29.2,82,165,Asymptomatic,False,1.2,True,Never,3.0,172,6.4,62.0,False,7256,51.0,1
+4405,40,Female,157,93,180,61,88,145,110,5.2,31.2,85,195,Asymptomatic,False,0.6,True,Never,2.5,220,7.0,41.2,True,6764,56.0,0
+4406,66,Female,144,92,191,68,95,125,143,6.5,23.4,80,156,Asymptomatic,False,0.8,False,Never,7.5,142,6.9,47.7,False,5775,71.0,0
+4407,62,Female,123,72,167,54,99,102,99,5.4,23.0,77,173,Asymptomatic,False,1.1,False,Former,6.8,122,6.4,34.8,True,5053,46.9,0
+4408,54,Male,117,77,140,53,64,74,75,4.7,21.8,68,167,Atypical Angina,False,0.1,False,Never,3.3,156,5.1,44.7,False,5035,69.9,0
+4409,79,Male,121,76,180,42,105,163,112,5.9,24.5,71,165,Non-Anginal Pain,False,3.0,False,Current,3.0,179,6.9,11.9,False,2445,50.3,0
+4410,65,Female,128,76,122,43,35,157,114,5.5,26.1,69,158,Asymptomatic,False,1.0,False,Never,0.2,138,8.5,59.3,False,2344,79.2,0
+4411,49,Male,137,89,191,59,88,194,142,6.2,24.8,97,164,Asymptomatic,False,2.0,False,Never,3.2,113,8.1,34.8,True,8142,33.7,0
+4412,51,Female,136,80,254,70,126,224,111,5.7,32.9,85,181,Non-Anginal Pain,False,0.5,False,Never,0.4,212,5.9,50.7,False,4104,63.9,0
+4413,69,Male,137,87,152,38,102,82,126,5.7,22.8,99,130,Non-Anginal Pain,True,0.2,True,Never,9.6,0,7.4,64.6,True,1596,43.4,1
+4414,44,Male,131,91,180,54,115,133,142,6.6,30.5,78,166,Atypical Angina,False,0.4,True,Never,3.8,251,7.3,58.9,True,9629,64.7,0
+4415,40,Male,120,88,208,57,117,166,106,6.1,23.1,76,201,Non-Anginal Pain,True,2.5,True,Former,1.8,183,7.1,31.6,False,8177,86.6,0
+4416,65,Male,146,89,153,49,93,98,102,4.7,17.0,67,150,Asymptomatic,False,0.1,False,Never,12.6,142,6.8,38.2,False,2651,54.9,0
+4417,64,Female,132,76,194,71,75,213,112,5.0,19.5,60,158,Asymptomatic,False,1.7,True,Never,28.6,179,9.0,14.4,False,6109,75.1,0
+4418,45,Male,147,100,217,42,153,162,113,5.9,29.1,87,161,Typical Angina,True,1.0,True,Never,15.2,114,5.0,51.0,False,4845,49.6,1
+4419,79,Male,133,93,175,39,110,101,110,4.7,18.2,85,141,Asymptomatic,False,2.9,True,Current,6.3,222,5.6,50.7,True,9939,70.2,1
+4420,49,Female,153,108,169,74,66,251,115,5.8,27.7,82,164,Asymptomatic,False,0.1,True,Never,13.2,195,5.9,36.9,True,6711,43.3,0
+4421,68,Female,144,84,190,58,95,159,172,7.7,29.7,78,125,Asymptomatic,False,0.4,False,Former,6.9,94,8.6,59.0,False,6670,63.4,1
+4422,60,Male,137,72,202,44,129,137,98,5.1,29.9,73,168,Non-Anginal Pain,True,1.4,False,Current,4.2,56,7.0,63.3,False,4199,72.6,0
+4423,44,Female,123,71,182,34,123,130,137,6.4,27.5,71,183,Asymptomatic,False,0.2,False,Current,0.5,302,6.9,18.3,True,11283,73.7,0
+4424,53,Female,135,82,165,44,90,108,102,5.0,22.7,71,179,Non-Anginal Pain,False,0.9,False,Never,2.3,101,7.9,21.7,False,4130,31.8,0
+4425,22,Female,115,69,141,76,49,95,149,7.0,21.1,76,203,Asymptomatic,True,1.4,True,Never,7.2,271,5.6,24.6,True,10355,76.3,0
+4426,67,Male,133,82,139,47,62,154,145,6.8,22.2,85,157,Asymptomatic,False,0.7,False,Never,6.0,99,8.6,68.7,True,6985,77.4,0
+4427,55,Female,113,81,213,55,117,227,108,5.4,28.3,102,132,Non-Anginal Pain,False,1.0,False,Former,6.5,172,7.4,53.9,False,8029,52.6,1
+4428,67,Female,135,83,201,51,114,126,130,5.8,17.5,87,153,Asymptomatic,False,2.0,False,Former,4.8,205,4.4,48.2,True,8762,59.2,0
+4429,44,Male,124,78,166,30,119,71,88,5.2,26.8,85,162,Asymptomatic,False,0.6,True,Current,2.0,217,7.8,47.5,True,6489,54.6,1
+4430,52,Male,113,68,130,49,60,94,143,6.0,24.9,79,167,Asymptomatic,False,0.6,True,Former,1.7,145,7.0,49.4,False,5979,72.6,0
+4431,36,Male,129,80,192,54,107,72,88,4.3,23.1,64,189,Asymptomatic,False,0.3,False,Current,1.7,159,7.6,51.9,False,4618,61.3,0
+4432,45,Female,148,95,192,59,102,198,120,5.6,28.4,79,192,Atypical Angina,False,0.3,False,Former,9.1,190,7.1,48.3,False,6419,70.0,0
+4433,64,Male,129,86,209,49,153,109,149,6.7,22.0,99,142,Atypical Angina,True,1.0,True,Current,9.1,160,6.0,62.1,True,8350,67.7,1
+4434,61,Female,110,60,198,56,123,166,131,5.7,22.0,76,182,Asymptomatic,True,0.4,False,Former,0.4,161,7.2,55.2,False,6484,62.8,0
+4435,72,Female,133,77,164,35,114,95,135,6.3,28.4,71,141,Non-Anginal Pain,False,0.2,False,Former,6.2,183,7.8,45.8,False,3974,63.1,1
+4436,68,Female,124,86,219,59,136,104,116,5.8,27.1,77,161,Non-Anginal Pain,False,1.0,False,Former,0.0,180,6.4,42.0,True,4299,55.3,0
+4437,57,Female,125,85,197,56,128,124,72,4.4,25.5,86,167,Asymptomatic,False,0.1,False,Current,2.3,134,6.8,62.5,False,6884,70.2,0
+4438,22,Male,119,77,113,56,35,71,114,5.7,25.0,80,206,Non-Anginal Pain,False,1.7,True,Never,2.9,203,6.6,71.4,False,3638,73.4,0
+4439,73,Male,145,89,181,38,118,93,121,5.7,20.2,91,122,Typical Angina,False,0.8,True,Current,5.4,46,7.4,72.1,False,4391,62.2,1
+4440,57,Male,123,76,192,32,135,136,96,5.3,25.3,89,133,Non-Anginal Pain,False,1.1,False,Never,6.4,91,6.8,26.1,False,4090,33.3,1
+4441,90,Female,128,85,234,77,109,206,139,6.3,18.9,70,133,Asymptomatic,False,0.2,True,Never,11.1,92,8.0,30.2,False,2896,48.4,0
+4442,79,Female,137,86,134,58,61,128,140,6.7,28.2,91,125,Asymptomatic,False,0.4,False,Never,0.5,0,5.3,74.0,False,5298,93.0,0
+4443,63,Male,131,82,184,46,100,202,119,5.8,19.8,64,140,Asymptomatic,False,1.1,False,Never,2.1,169,8.8,50.7,True,3689,78.0,1
+4444,58,Female,142,93,256,79,136,185,117,5.7,32.5,89,173,Non-Anginal Pain,True,1.0,False,Current,9.5,102,7.2,79.5,False,6873,51.1,1
+4445,51,Female,124,84,153,48,93,99,124,5.9,15.0,73,148,Asymptomatic,False,0.4,False,Former,0.1,97,7.9,45.4,False,5605,41.5,0
+4446,40,Male,96,67,181,51,110,107,117,6.1,22.9,91,182,Asymptomatic,False,0.9,True,Never,7.1,172,7.2,58.2,True,9221,57.4,0
+4447,46,Female,136,87,163,74,70,92,94,5.1,21.7,74,210,Atypical Angina,False,1.3,False,Former,4.0,269,7.4,73.2,False,7372,67.0,0
+4448,54,Male,116,82,189,62,105,111,138,6.2,30.2,83,147,Asymptomatic,False,0.6,False,Former,1.6,21,6.3,49.4,False,3667,64.4,0
+4449,41,Male,122,84,143,60,65,157,140,6.3,26.0,92,194,Asymptomatic,False,0.4,True,Never,3.0,218,7.2,48.9,False,8987,72.4,0
+4450,51,Male,120,81,207,72,89,143,120,5.3,18.8,83,165,Asymptomatic,False,2.4,True,Current,5.8,134,9.3,67.1,True,5301,63.9,1
+4451,68,Male,118,81,175,46,91,114,120,5.9,24.4,77,161,Typical Angina,True,0.8,False,Never,6.2,134,6.8,62.7,False,2123,77.5,1
+4452,41,Female,124,78,109,47,38,103,125,5.7,18.3,84,188,Non-Anginal Pain,True,0.1,False,Current,5.5,119,6.5,46.5,False,7249,48.5,0
+4453,52,Male,145,88,193,47,124,128,133,5.7,32.2,84,160,Asymptomatic,False,0.3,False,Never,7.3,0,6.3,44.4,False,2230,46.9,1
+4454,50,Female,134,85,145,42,79,131,100,5.5,25.4,71,161,Typical Angina,False,1.5,True,Former,0.1,185,7.9,61.8,False,8896,69.1,0
+4455,56,Male,137,85,144,42,67,149,98,5.3,16.7,64,179,Typical Angina,False,0.2,False,Never,1.8,208,7.6,43.1,True,7693,57.4,0
+4456,42,Male,124,74,156,43,61,213,141,6.7,30.1,85,157,Non-Anginal Pain,False,5.4,False,Former,3.3,88,7.3,44.0,False,6187,74.0,1
+4457,49,Female,139,85,188,61,90,225,152,6.4,27.2,79,162,Asymptomatic,False,0.2,True,Never,0.5,129,7.3,76.5,False,5140,62.1,0
+4458,24,Female,105,66,212,65,123,114,87,4.6,21.5,85,180,Asymptomatic,True,0.4,False,Never,4.0,90,6.4,64.7,False,5843,38.2,0
+4459,52,Female,128,80,222,65,128,184,60,4.3,25.1,67,187,Asymptomatic,True,0.9,True,Never,0.0,213,7.1,31.1,True,8882,53.1,0
+4460,63,Female,138,80,176,48,105,143,115,6.0,21.5,88,163,Asymptomatic,False,0.2,False,Never,1.3,0,6.9,52.5,False,5552,50.4,0
+4461,63,Male,145,95,190,52,112,108,101,5.5,21.2,82,160,Non-Anginal Pain,True,0.7,False,Current,3.4,88,6.1,77.9,False,5132,53.0,1
+4462,69,Female,134,85,222,56,126,158,132,5.7,26.6,81,153,Asymptomatic,True,0.3,True,Former,6.6,128,8.5,57.2,True,7211,48.5,1
+4463,41,Female,132,82,203,42,115,153,83,5.3,21.3,87,168,Atypical Angina,False,0.4,False,Former,9.7,133,4.4,74.4,True,7767,41.4,1
+4464,58,Female,133,77,168,82,63,81,106,5.3,26.7,77,176,Asymptomatic,False,0.2,False,Former,4.2,228,4.4,24.6,True,5614,62.9,0
+4465,56,Female,136,109,270,49,181,167,116,6.2,25.3,83,161,Atypical Angina,False,0.1,False,Current,3.0,165,6.7,60.7,False,6848,37.5,1
+4466,51,Male,141,86,165,32,90,252,153,6.8,27.5,80,177,Asymptomatic,False,1.1,False,Never,6.9,286,8.1,46.6,True,12513,51.0,0
+4467,59,Female,117,78,171,48,99,117,128,5.7,18.4,80,148,Asymptomatic,False,0.5,True,Former,1.8,191,6.2,76.6,False,7479,61.3,0
+4468,55,Female,118,73,218,77,107,152,112,6.0,26.8,74,172,Atypical Angina,False,0.1,True,Never,5.9,216,6.1,40.2,False,9131,54.1,0
+4469,42,Male,132,78,148,62,48,145,84,4.9,27.2,88,178,Asymptomatic,False,0.2,False,Never,8.6,258,7.5,52.4,True,9072,68.1,0
+4470,76,Male,130,74,221,51,129,182,93,5.2,21.2,83,124,Non-Anginal Pain,False,0.1,True,Former,5.0,135,7.3,41.4,True,6542,88.1,1
+4471,75,Female,141,103,191,80,90,122,130,5.8,19.6,73,167,Non-Anginal Pain,False,3.1,False,Former,0.8,180,7.1,34.6,True,4953,45.7,0
+4472,39,Female,116,69,203,66,132,71,149,6.0,23.4,75,171,Typical Angina,False,0.5,False,Former,2.8,240,5.6,45.1,False,6486,67.1,0
+4473,62,Female,124,82,167,63,85,145,99,5.1,25.1,89,153,Atypical Angina,False,0.5,False,Never,2.0,111,5.0,71.5,False,5153,67.8,0
+4474,46,Female,125,71,179,75,91,176,116,5.7,27.5,63,157,Atypical Angina,False,1.0,False,Never,1.6,196,4.4,46.9,True,6194,73.1,0
+4475,65,Female,96,68,208,83,99,179,109,4.9,27.5,92,149,Asymptomatic,False,1.1,False,Never,6.3,92,6.9,20.4,True,7684,68.9,0
+4476,44,Male,134,79,268,56,170,204,114,5.9,21.6,78,191,Atypical Angina,False,0.4,False,Never,21.1,109,6.4,52.5,False,4429,80.7,0
+4477,39,Female,119,75,191,79,110,107,121,5.6,23.8,70,167,Atypical Angina,False,0.4,False,Never,2.1,151,6.8,28.1,False,6309,59.3,0
+4478,61,Female,142,83,182,49,110,107,100,5.5,33.6,85,151,Typical Angina,False,1.1,True,Never,2.7,45,6.4,89.3,False,4524,28.0,0
+4479,48,Female,131,81,203,50,129,133,144,6.4,29.1,79,177,Atypical Angina,False,0.1,False,Never,17.1,134,6.9,56.2,False,3142,71.3,0
+4480,58,Female,127,72,191,61,107,169,155,6.7,21.1,75,152,Atypical Angina,True,0.3,True,Former,3.9,195,6.2,40.7,True,6682,52.4,1
+4481,49,Male,107,53,155,37,93,137,156,6.4,25.9,87,149,Atypical Angina,False,3.0,False,Never,5.1,0,5.8,41.7,False,6769,32.4,1
+4482,40,Female,141,93,196,55,106,141,100,4.7,29.2,81,197,Non-Anginal Pain,False,0.1,False,Never,15.8,115,6.8,62.1,False,5859,54.5,0
+4483,21,Male,97,56,143,61,35,221,90,5.0,21.7,75,204,Typical Angina,False,0.3,False,Never,7.1,157,7.3,41.4,True,13832,42.2,0
+4484,67,Male,123,78,156,56,66,165,123,6.0,31.0,96,161,Asymptomatic,False,0.4,False,Never,2.2,189,7.5,49.4,False,6841,48.4,0
+4485,59,Female,121,84,172,47,99,129,97,4.9,26.5,71,164,Atypical Angina,False,0.5,False,Former,2.2,187,7.4,31.2,False,6076,78.1,0
+4486,26,Male,112,74,198,66,105,123,103,5.2,26.5,83,195,Asymptomatic,False,0.8,False,Former,8.4,174,6.1,62.4,False,7603,71.7,0
+4487,40,Male,108,58,176,55,94,130,119,5.8,30.4,79,187,Asymptomatic,False,0.6,False,Never,3.0,243,7.7,38.4,True,8498,63.5,0
+4488,51,Female,147,104,191,51,126,138,115,5.7,28.0,102,187,Non-Anginal Pain,False,2.0,False,Current,12.7,85,5.7,76.7,False,3904,48.6,1
+4489,71,Female,150,110,221,34,135,228,133,6.2,27.4,102,125,Asymptomatic,False,1.9,False,Current,2.7,75,9.1,29.1,True,4687,36.0,1
+4490,63,Male,142,90,228,51,135,154,121,6.0,25.2,80,122,Asymptomatic,False,1.8,False,Current,1.6,50,7.5,60.2,False,3625,70.9,1
+4491,65,Female,137,88,187,54,112,122,119,5.5,26.2,75,142,Typical Angina,False,2.5,False,Former,11.6,49,6.1,51.1,False,4685,53.3,1
+4492,59,Female,127,78,262,35,188,181,102,5.6,27.6,72,169,Atypical Angina,True,0.7,False,Current,0.2,207,7.2,30.1,True,9328,54.9,1
+4493,54,Female,123,77,153,62,68,148,124,6.1,29.8,91,178,Non-Anginal Pain,False,0.2,False,Never,9.4,172,5.5,81.8,False,8368,93.7,0
+4494,56,Male,133,83,219,57,147,90,130,5.7,20.8,83,142,Non-Anginal Pain,False,1.6,False,Never,2.9,167,8.3,30.4,True,7429,57.4,1
+4495,60,Female,123,81,167,64,85,157,119,5.6,22.9,76,168,Typical Angina,False,0.6,False,Current,1.3,180,7.5,47.0,False,5735,47.5,0
+4496,46,Male,136,88,176,53,108,121,84,5.2,29.2,83,190,Typical Angina,False,0.5,True,Never,3.5,259,6.6,49.6,True,5458,79.4,0
+4497,27,Male,118,68,206,51,125,166,135,6.4,29.7,78,210,Typical Angina,False,1.0,False,Former,6.9,168,8.0,61.0,False,5693,85.7,0
+4498,59,Female,149,87,203,53,131,90,150,6.6,30.2,74,167,Non-Anginal Pain,True,1.0,False,Former,0.1,159,7.4,57.7,False,3528,74.8,0
+4499,52,Female,144,82,218,77,119,130,118,5.5,29.2,88,190,Non-Anginal Pain,False,1.0,False,Never,2.5,208,7.4,36.1,False,4350,68.7,0
+4500,35,Female,116,68,159,59,87,70,125,5.9,21.9,79,192,Atypical Angina,True,1.2,False,Never,1.2,164,8.2,54.1,False,5544,56.9,0
+4501,51,Female,113,57,151,46,77,76,108,5.8,24.7,76,185,Asymptomatic,False,0.2,True,Never,2.1,182,6.7,52.9,False,5048,59.8,0
+4502,69,Female,141,88,192,64,91,115,153,6.3,26.1,68,160,Atypical Angina,False,0.6,False,Never,1.0,191,5.6,58.6,False,6358,62.0,0
+4503,42,Male,143,91,194,47,118,176,148,7.0,26.8,72,163,Asymptomatic,False,0.8,False,Never,5.3,185,6.3,49.4,True,5357,56.6,0
+4504,50,Male,149,92,170,47,88,188,144,6.2,25.8,91,193,Asymptomatic,False,1.9,True,Never,5.8,113,9.1,23.1,True,7323,51.1,0
+4505,48,Female,137,69,209,51,120,145,117,5.7,28.6,64,158,Atypical Angina,True,4.6,False,Former,0.9,102,7.6,50.2,False,5256,65.1,1
+4506,43,Male,128,74,204,78,111,111,123,6.3,23.4,78,165,Asymptomatic,False,0.4,False,Never,11.0,110,6.3,45.7,False,5673,77.1,0
+4507,45,Male,107,78,139,56,62,158,116,5.8,24.1,87,187,Atypical Angina,False,0.4,False,Former,3.1,72,6.7,61.0,True,6158,51.9,0
+4508,51,Male,128,75,212,50,122,173,112,5.5,21.4,80,192,Asymptomatic,False,0.3,True,Never,4.2,166,5.9,34.3,False,1658,77.1,0
+4509,65,Male,115,68,277,73,186,122,156,6.2,24.7,74,144,Asymptomatic,False,0.1,False,Never,2.6,242,8.7,62.6,True,8857,85.9,1
+4510,55,Male,136,88,186,44,114,131,120,5.8,25.5,75,149,Non-Anginal Pain,False,0.5,False,Never,7.6,79,7.6,48.7,False,2365,65.4,0
+4511,65,Female,148,86,166,47,89,147,107,5.9,22.6,87,160,Atypical Angina,False,0.6,False,Never,0.8,123,7.6,96.3,True,4289,34.9,0
+4512,51,Male,120,76,151,63,55,173,119,5.9,29.8,89,160,Asymptomatic,False,0.3,False,Never,2.7,84,6.5,39.0,True,7524,64.1,0
+4513,55,Female,131,78,205,60,116,116,108,5.5,24.7,100,192,Asymptomatic,False,0.1,False,Never,1.9,103,8.4,74.4,True,4391,61.0,0
+4514,34,Female,112,73,161,63,81,137,113,5.9,20.5,69,205,Non-Anginal Pain,False,0.2,False,Never,7.8,206,8.4,44.3,False,8386,65.7,0
+4515,60,Female,140,85,288,61,201,135,84,5.1,22.4,82,172,Atypical Angina,False,0.2,False,Current,11.3,141,7.1,60.4,True,7035,41.1,0
+4516,66,Male,127,91,161,42,81,147,106,5.3,23.9,79,182,Typical Angina,True,2.0,False,Never,3.2,173,8.1,54.3,False,6027,63.9,0
+4517,55,Female,125,71,188,69,73,223,121,5.4,26.4,73,161,Atypical Angina,False,2.8,False,Never,16.7,307,6.6,53.5,True,9941,69.8,0
+4518,67,Male,124,76,236,54,146,183,140,6.4,25.2,74,148,Asymptomatic,False,2.2,True,Never,3.0,4,9.4,21.1,False,5403,80.4,1
+4519,69,Female,132,92,171,59,99,53,142,6.6,17.9,91,157,Atypical Angina,False,0.7,False,Never,1.1,152,6.4,61.4,False,5899,48.2,0
+4520,56,Male,113,81,160,64,60,173,125,6.2,16.3,80,168,Non-Anginal Pain,True,2.1,False,Never,2.4,124,9.1,8.7,True,4264,58.3,0
+4521,60,Male,141,87,246,48,152,252,117,6.0,35.4,86,133,Asymptomatic,True,0.6,False,Never,7.8,57,9.0,21.8,True,7680,32.9,1
+4522,79,Male,148,89,200,42,139,123,104,6.2,25.1,77,157,Asymptomatic,False,0.1,False,Never,11.7,66,7.3,53.5,True,5201,46.4,0
+4523,44,Female,130,87,256,55,141,266,103,5.8,25.2,77,177,Asymptomatic,True,1.5,False,Former,38.0,18,6.8,57.0,False,5606,51.3,1
+4524,59,Male,129,82,169,59,94,110,142,6.5,24.9,77,161,Asymptomatic,False,1.6,False,Never,7.0,36,6.4,26.3,False,2706,59.5,0
+4525,78,Male,124,70,184,47,92,231,145,6.9,22.9,92,156,Asymptomatic,False,0.1,False,Current,12.3,97,6.3,35.1,False,4430,46.9,0
+4526,46,Female,110,74,233,77,115,197,113,5.5,22.0,77,182,Non-Anginal Pain,False,1.6,True,Former,14.5,92,7.1,45.3,True,8265,35.6,0
+4527,79,Female,132,90,195,84,85,96,127,6.1,23.3,81,165,Non-Anginal Pain,False,1.0,False,Never,3.7,201,6.7,41.7,True,7394,70.7,0
+4528,56,Male,129,79,186,63,94,152,114,6.0,25.2,65,158,Asymptomatic,True,1.6,True,Former,13.8,248,6.9,15.9,True,9139,48.7,1
+4529,46,Female,116,67,189,69,90,129,95,4.9,20.6,72,201,Typical Angina,False,0.1,False,Former,4.6,144,7.1,25.0,True,9336,52.8,0
+4530,62,Female,137,82,187,34,120,162,91,4.7,20.6,79,156,Atypical Angina,False,0.2,False,Former,0.3,228,7.1,53.0,False,7537,55.3,0
+4531,65,Female,113,66,142,76,36,102,102,5.5,22.1,80,147,Non-Anginal Pain,False,0.6,False,Never,8.4,169,6.3,26.0,False,2566,86.3,0
+4532,49,Female,125,83,177,62,101,62,124,6.3,19.6,71,169,Atypical Angina,False,1.1,False,Never,3.9,223,7.6,69.5,False,10824,47.4,0
+4533,58,Male,129,90,189,40,105,185,131,5.9,28.8,78,167,Asymptomatic,False,2.6,False,Never,9.4,160,4.8,20.3,False,4196,27.7,1
+4534,50,Female,152,99,233,73,135,106,68,4.6,23.3,70,169,Asymptomatic,False,0.2,True,Current,12.7,183,7.8,59.9,True,8944,31.9,0
+4535,48,Male,126,68,205,58,122,135,94,5.5,21.1,74,167,Typical Angina,True,2.5,True,Never,2.4,136,7.7,48.1,False,7399,50.1,1
+4536,60,Male,132,79,213,48,131,190,136,5.9,26.3,84,154,Asymptomatic,False,3.6,False,Never,2.7,162,9.2,45.6,True,7709,61.5,0
+4537,67,Female,121,78,161,67,63,168,119,6.0,22.3,88,163,Asymptomatic,False,1.2,False,Never,0.6,166,6.7,47.6,False,5402,67.5,0
+4538,44,Female,117,83,165,77,61,118,85,4.9,18.2,81,177,Typical Angina,False,0.1,False,Never,5.6,190,5.7,49.0,True,6259,45.5,0
+4539,53,Male,134,89,225,47,133,202,92,5.5,32.6,78,165,Non-Anginal Pain,False,0.5,False,Current,3.9,217,7.0,19.7,True,7923,79.5,0
+4540,81,Male,122,69,175,64,101,106,93,4.8,15.8,78,135,Asymptomatic,False,0.2,False,Never,5.0,221,5.3,44.1,True,8402,74.0,0
+4541,62,Female,148,74,184,60,70,260,147,7.0,31.9,76,148,Typical Angina,True,0.7,False,Former,5.2,100,6.6,71.1,False,5022,74.5,1
+4542,36,Male,123,72,130,50,52,180,115,5.8,21.4,76,207,Asymptomatic,False,1.4,False,Never,6.9,118,8.6,44.7,False,7464,59.5,0
+4543,65,Female,137,79,200,33,130,236,168,6.8,22.8,106,116,Atypical Angina,True,1.9,False,Never,2.2,91,7.0,66.7,False,4748,37.0,1
+4544,40,Male,122,87,144,40,82,131,97,4.8,20.6,85,169,Atypical Angina,False,0.4,False,Never,12.8,134,7.0,60.1,True,7647,31.2,1
+4545,35,Male,118,81,227,80,102,221,129,6.1,27.6,87,210,Asymptomatic,False,0.5,False,Never,5.6,276,7.2,69.3,True,11543,53.7,0
+4546,54,Male,134,88,191,52,84,268,107,5.3,28.0,80,150,Atypical Angina,True,0.5,False,Never,2.0,169,7.9,51.9,False,6501,65.8,1
+4547,73,Female,130,89,180,70,65,190,104,5.7,22.0,87,149,Asymptomatic,False,0.0,False,Current,1.1,146,5.3,50.9,False,3966,43.9,0
+4548,67,Male,128,72,171,38,113,123,142,6.7,30.7,81,151,Asymptomatic,False,0.7,False,Former,3.8,84,7.2,36.9,False,2000,56.0,1
+4549,73,Male,138,87,152,54,65,184,119,5.7,23.6,80,125,Non-Anginal Pain,True,3.2,False,Former,3.4,197,5.7,85.4,False,6461,82.4,1
+4550,65,Male,128,88,194,49,131,69,83,4.3,27.0,93,147,Atypical Angina,True,0.4,True,Current,3.6,211,6.2,52.9,True,8635,61.9,1
+4551,50,Male,125,82,155,42,97,147,111,5.8,28.9,80,175,Asymptomatic,False,1.8,False,Never,11.7,175,7.5,26.9,True,5724,61.7,1
+4552,61,Female,114,65,238,56,145,172,106,5.3,32.3,60,177,Asymptomatic,False,3.5,True,Never,6.7,181,6.3,28.3,True,8407,61.8,0
+4553,78,Female,117,79,206,51,133,106,104,5.2,21.7,76,148,Typical Angina,True,1.4,False,Never,0.9,292,7.5,67.5,True,7627,77.7,0
+4554,81,Female,146,91,200,63,111,147,97,5.8,26.7,76,123,Typical Angina,True,1.1,False,Never,3.7,254,6.3,23.2,True,5436,75.5,1
+4555,35,Female,127,76,195,56,119,144,157,6.3,30.9,86,176,Asymptomatic,True,0.1,False,Never,2.5,21,4.8,30.7,False,4035,50.7,0
+4556,59,Female,128,76,224,78,106,135,100,5.3,21.2,74,164,Non-Anginal Pain,False,1.4,False,Never,0.6,198,7.3,70.6,False,3465,43.8,0
+4557,46,Female,109,60,202,62,105,125,101,5.2,20.2,88,176,Asymptomatic,False,0.5,True,Current,12.6,244,6.4,63.9,False,10826,72.5,0
+4558,67,Female,139,81,193,59,100,147,107,5.4,18.2,85,163,Asymptomatic,False,1.8,False,Never,12.4,176,6.0,30.3,True,6269,47.5,0
+4559,64,Male,133,78,176,45,90,198,132,6.1,28.8,88,145,Asymptomatic,True,1.8,True,Former,3.2,0,7.8,58.1,False,7181,51.3,1
+4560,55,Female,132,80,179,43,95,165,118,5.8,22.2,82,157,Non-Anginal Pain,True,3.4,True,Never,1.0,96,8.0,42.6,False,3372,77.8,1
+4561,46,Male,131,78,166,40,107,116,115,5.6,30.2,92,159,Non-Anginal Pain,True,1.7,False,Never,5.2,12,4.8,53.2,False,5189,79.7,1
+4562,60,Male,125,85,167,47,98,142,132,5.7,19.0,65,171,Atypical Angina,False,0.3,False,Never,5.4,129,6.4,36.0,True,5319,49.9,0
+4563,54,Female,131,83,154,54,83,115,99,5.0,26.0,65,169,Asymptomatic,True,0.1,False,Never,1.5,99,7.5,54.5,False,4244,85.6,0
+4564,57,Female,127,82,161,72,55,136,124,5.7,26.4,79,165,Asymptomatic,False,0.7,True,Former,0.4,238,7.0,57.1,True,7351,57.3,0
+4565,53,Female,129,88,205,70,103,168,109,4.8,20.8,73,192,Atypical Angina,False,2.1,False,Former,10.8,131,7.6,47.4,True,6969,87.7,0
+4566,59,Male,130,83,181,56,76,243,77,4.7,22.6,75,149,Non-Anginal Pain,False,2.6,False,Never,15.9,137,9.1,67.5,True,6810,65.5,0
+4567,55,Male,105,65,184,56,101,114,127,6.1,28.3,83,153,Asymptomatic,False,0.1,False,Current,9.0,189,9.2,41.1,True,6408,58.5,0
+4568,65,Male,105,78,156,66,70,130,103,5.5,21.7,74,151,Non-Anginal Pain,False,0.2,False,Former,4.8,170,9.2,35.4,True,10443,75.2,0
+4569,19,Male,124,80,121,52,56,68,129,6.2,21.5,77,184,Non-Anginal Pain,False,2.1,False,Former,8.8,77,7.0,61.3,False,6627,79.3,0
+4570,52,Male,125,72,151,54,61,95,139,6.0,29.3,83,164,Atypical Angina,False,0.3,False,Former,3.4,118,6.5,41.4,False,2709,62.1,0
+4571,49,Female,117,65,153,58,71,124,113,5.4,20.1,65,164,Atypical Angina,False,0.5,True,Current,19.5,149,7.7,16.3,False,4440,56.1,0
+4572,59,Male,118,73,161,53,80,133,138,6.6,30.4,89,164,Asymptomatic,False,0.6,False,Never,1.7,36,8.3,36.5,True,3624,73.6,0
+4573,66,Female,142,85,194,60,89,196,145,7.0,24.6,78,139,Asymptomatic,False,2.1,False,Never,0.0,36,6.0,39.7,False,4395,63.3,1
+4574,58,Female,111,80,165,74,80,94,138,6.6,27.3,86,171,Asymptomatic,True,0.3,False,Former,0.2,205,6.1,5.6,True,6065,62.3,0
+4575,56,Male,113,70,132,38,62,87,86,5.0,26.7,71,151,Typical Angina,False,1.6,True,Current,3.7,238,6.1,56.2,True,7169,100.0,0
+4576,49,Male,141,90,199,71,104,177,124,5.7,25.4,63,172,Asymptomatic,False,0.1,True,Former,1.9,131,7.8,68.9,False,4911,47.2,0
+4577,64,Female,125,74,180,39,122,116,132,6.6,20.4,87,141,Typical Angina,True,0.3,False,Former,1.2,77,5.6,62.9,False,4115,49.8,1
+4578,79,Male,140,79,163,60,90,70,140,6.5,23.2,79,155,Asymptomatic,True,1.9,False,Former,4.3,118,8.5,41.1,False,6524,54.7,0
+4579,60,Female,144,95,173,45,88,224,88,5.4,33.5,93,161,Asymptomatic,False,0.3,False,Current,15.7,114,7.5,73.0,True,7278,31.4,0
+4580,58,Female,127,83,145,71,43,177,163,7.0,21.6,96,160,Atypical Angina,False,0.5,False,Never,6.1,0,6.7,39.2,False,4838,74.7,0
+4581,60,Female,121,74,127,42,69,123,119,5.6,23.6,92,145,Asymptomatic,False,1.3,False,Never,6.9,80,5.8,67.6,True,7695,82.5,0
+4582,48,Male,117,85,169,54,84,151,66,4.0,27.0,80,197,Asymptomatic,False,0.5,False,Never,1.9,246,5.7,25.1,False,7859,64.7,0
+4583,45,Male,112,79,159,38,95,131,127,5.7,29.1,73,194,Asymptomatic,False,0.1,False,Never,5.4,91,6.8,62.8,False,5065,45.2,0
+4584,44,Female,136,81,174,80,80,131,116,5.7,23.7,72,177,Typical Angina,False,0.9,False,Never,4.9,269,6.8,45.6,True,8041,69.0,0
+4585,57,Male,131,89,106,34,64,122,102,4.9,24.2,84,177,Asymptomatic,True,0.9,False,Current,3.2,109,6.8,55.8,False,5916,53.6,0
+4586,64,Female,122,82,185,67,95,125,152,6.7,29.7,93,133,Asymptomatic,True,2.0,False,Never,0.5,183,6.3,39.0,False,3802,57.4,1
+4587,58,Male,128,83,232,56,156,134,123,5.5,27.9,102,160,Asymptomatic,False,1.3,True,Current,2.5,202,7.2,27.3,True,6352,52.3,1
+4588,51,Female,122,94,172,63,82,165,94,5.1,28.0,78,166,Non-Anginal Pain,False,0.8,False,Never,0.7,125,5.3,29.9,True,8767,61.4,0
+4589,63,Female,95,68,184,50,130,119,129,5.7,25.4,86,152,Asymptomatic,False,1.5,True,Current,0.3,191,5.0,42.3,True,5975,44.6,1
+4590,50,Male,120,78,166,56,70,156,133,5.7,24.0,78,169,Non-Anginal Pain,True,0.4,False,Never,2.7,178,9.3,37.9,True,7150,48.7,0
+4591,59,Female,116,76,208,53,97,279,136,6.6,30.1,87,166,Non-Anginal Pain,False,0.1,True,Never,8.8,103,7.2,55.1,False,5424,46.2,0
+4592,48,Female,114,75,197,67,107,108,62,4.3,15.0,79,187,Asymptomatic,False,0.6,False,Never,5.0,225,8.1,56.5,True,9921,66.8,0
+4593,59,Male,138,85,169,59,69,188,125,5.8,26.1,75,174,Non-Anginal Pain,True,1.7,False,Former,4.6,77,7.5,55.0,False,7122,57.8,0
+4594,43,Female,117,80,174,43,110,127,172,7.3,24.7,87,165,Asymptomatic,False,1.2,True,Never,10.9,183,7.0,39.3,False,7575,41.5,0
+4595,34,Female,114,77,164,75,74,105,126,5.9,30.1,75,188,Non-Anginal Pain,True,1.7,False,Never,0.3,191,7.5,65.3,True,8284,90.9,0
+4596,61,Female,140,89,112,23,64,223,105,5.3,22.3,75,138,Asymptomatic,False,1.9,False,Current,18.0,132,7.3,47.2,False,5563,33.0,1
+4597,73,Male,142,88,186,41,135,68,165,7.2,29.6,90,124,Asymptomatic,True,0.7,False,Current,2.0,92,8.1,71.4,True,8784,46.1,1
+4598,49,Male,126,75,235,45,153,235,109,5.2,28.9,85,194,Non-Anginal Pain,False,0.1,True,Never,3.2,163,7.5,19.4,False,6504,80.0,0
+4599,22,Male,121,71,170,55,102,134,148,6.6,28.9,77,199,Asymptomatic,True,2.2,False,Never,2.4,201,8.5,73.9,True,8793,76.0,0
+4600,69,Female,140,89,174,44,106,205,94,5.6,28.3,83,138,Atypical Angina,True,1.8,False,Never,12.0,67,7.7,13.6,False,7101,42.8,0
+4601,56,Male,153,105,193,43,132,163,132,6.3,32.5,85,173,Non-Anginal Pain,False,0.2,False,Never,2.4,198,9.6,67.8,True,9054,57.5,0
+4602,85,Female,130,89,231,60,142,172,145,7.1,26.4,86,128,Asymptomatic,True,1.5,True,Never,3.7,167,6.4,58.8,True,1089,57.4,1
+4603,73,Female,143,87,169,58,100,105,143,6.1,27.2,86,127,Atypical Angina,True,2.0,True,Never,2.1,110,8.9,65.2,False,4238,76.3,1
+4604,48,Male,138,86,146,47,74,157,93,4.8,26.9,75,185,Asymptomatic,False,0.2,False,Never,13.6,81,6.9,40.6,False,3119,50.7,0
+4605,54,Female,129,66,173,46,87,223,106,5.7,32.9,94,130,Typical Angina,False,0.2,False,Current,4.5,140,4.7,51.6,False,5854,49.5,1
+4606,61,Male,106,65,132,51,65,148,94,5.1,24.1,82,172,Non-Anginal Pain,False,3.1,False,Former,2.0,260,6.9,49.2,True,7526,56.1,0
+4607,47,Female,114,69,206,44,120,173,166,7.0,30.6,100,176,Atypical Angina,False,0.1,True,Former,0.3,56,6.0,59.5,False,6123,37.1,0
+4608,75,Female,136,81,221,65,102,193,121,5.5,23.4,94,158,Asymptomatic,False,1.1,False,Former,3.1,154,8.0,45.8,False,3564,85.3,0
+4609,63,Female,135,97,215,82,119,85,84,4.7,18.5,69,166,Asymptomatic,False,1.8,False,Never,1.0,162,7.2,27.4,True,6207,59.6,0
+4610,45,Female,119,65,102,56,42,83,89,5.2,19.9,96,189,Typical Angina,False,0.1,False,Former,6.6,103,9.0,54.7,False,7994,61.7,0
+4611,72,Female,142,82,210,70,111,151,91,5.3,20.2,93,148,Asymptomatic,False,3.1,False,Current,2.9,53,8.0,38.8,False,6547,55.8,0
+4612,38,Male,120,75,144,39,81,126,160,7.0,27.5,83,175,Asymptomatic,False,1.9,False,Current,2.6,32,5.2,59.3,False,7830,54.5,0
+4613,62,Female,118,79,166,34,123,76,106,5.2,22.2,79,157,Atypical Angina,False,0.5,False,Former,5.3,196,8.8,48.6,True,8001,60.1,0
+4614,38,Male,112,78,206,64,119,109,105,5.1,15.0,59,184,Asymptomatic,False,0.5,False,Never,5.8,131,7.3,47.2,True,4061,57.9,0
+4615,68,Male,147,94,193,58,107,164,134,6.6,27.2,86,144,Asymptomatic,True,0.8,True,Never,7.0,150,8.5,59.0,True,8410,42.5,1
+4616,44,Female,133,83,221,57,102,242,128,6.1,30.6,74,176,Non-Anginal Pain,False,0.7,True,Never,22.8,166,8.6,50.8,False,4941,76.3,0
+4617,48,Female,124,69,183,53,113,161,141,6.3,21.0,67,173,Asymptomatic,False,0.7,True,Former,4.2,151,9.2,42.8,False,3915,60.0,0
+4618,59,Female,130,96,230,57,154,135,157,7.3,23.1,72,138,Non-Anginal Pain,False,0.3,False,Never,8.6,13,7.0,56.5,False,3689,67.3,1
+4619,59,Male,109,72,157,54,62,149,178,6.8,29.4,69,175,Atypical Angina,True,1.1,False,Never,1.9,225,6.2,62.4,True,9027,75.8,0
+4620,59,Female,121,74,172,53,83,168,101,5.2,29.6,109,176,Non-Anginal Pain,False,1.3,False,Never,0.1,105,6.9,35.1,True,7694,45.3,0
+4621,56,Male,135,61,147,19,90,184,193,8.6,29.1,87,156,Typical Angina,False,2.6,False,Never,2.6,30,6.7,74.9,True,7013,38.3,1
+4622,42,Male,112,69,123,70,47,35,107,5.6,18.8,72,180,Non-Anginal Pain,False,0.2,False,Never,16.5,340,6.7,57.3,True,8422,61.2,0
+4623,52,Male,125,82,149,40,101,101,133,6.1,21.1,70,170,Asymptomatic,False,0.4,False,Never,3.1,152,7.2,31.6,True,5629,58.9,0
+4624,55,Female,137,92,228,59,105,246,117,5.3,30.3,80,167,Non-Anginal Pain,False,2.2,False,Never,7.9,106,8.6,56.1,True,7312,51.4,0
+4625,59,Male,127,81,200,57,129,105,123,5.5,19.9,83,180,Atypical Angina,False,0.7,True,Current,6.9,177,7.0,67.3,False,4560,80.6,0
+4626,47,Male,133,85,121,63,37,172,115,5.3,23.7,76,159,Asymptomatic,True,0.3,False,Never,7.8,124,7.6,43.9,False,7328,66.7,0
+4627,64,Male,135,84,213,56,115,190,124,5.8,29.9,89,151,Typical Angina,True,0.1,False,Current,7.4,53,7.8,43.5,True,8436,63.0,1
+4628,49,Female,125,86,216,67,100,202,134,6.1,28.3,86,189,Non-Anginal Pain,False,0.5,False,Former,3.9,123,6.6,69.8,False,7505,57.1,0
+4629,46,Male,131,70,250,57,171,139,124,5.2,29.4,83,169,Non-Anginal Pain,True,1.6,True,Never,10.1,103,6.8,59.4,False,5357,72.3,1
+4630,42,Female,111,73,136,40,75,89,131,6.1,21.1,82,189,Asymptomatic,False,0.6,False,Former,3.3,150,7.4,49.9,True,7831,64.6,0
+4631,42,Female,132,84,229,68,123,169,125,6.1,28.4,81,173,Non-Anginal Pain,True,1.2,False,Never,1.7,9,5.2,57.9,False,3362,42.9,0
+4632,41,Female,130,89,167,42,94,148,126,6.3,21.7,84,192,Asymptomatic,False,0.7,True,Never,6.4,121,8.1,56.3,True,8078,31.4,0
+4633,46,Male,136,91,173,43,94,148,123,6.0,27.1,73,205,Typical Angina,False,0.5,True,Former,1.7,156,8.2,43.8,True,7324,65.9,0
+4634,73,Female,118,81,171,41,94,167,144,6.8,26.3,80,158,Asymptomatic,False,0.6,False,Never,1.6,130,8.1,39.3,False,3801,59.9,0
+4635,54,Male,115,59,173,43,114,119,141,6.6,22.1,81,143,Non-Anginal Pain,True,0.8,True,Never,5.5,133,7.1,37.0,False,6023,62.5,1
+4636,77,Male,132,84,161,38,112,87,109,5.8,27.3,78,144,Asymptomatic,False,0.5,True,Never,9.9,48,7.0,62.1,False,3652,69.3,0
+4637,31,Female,121,79,248,77,128,165,119,5.7,24.1,75,196,Atypical Angina,False,1.2,False,Never,0.5,283,5.3,39.3,True,6333,47.5,0
+4638,65,Male,98,62,214,61,124,127,104,5.7,25.8,77,153,Asymptomatic,False,0.4,False,Never,4.9,125,8.7,70.7,False,6512,67.1,0
+4639,63,Female,131,91,177,67,94,121,136,6.3,25.8,70,166,Atypical Angina,False,0.6,False,Never,1.4,106,8.1,46.4,False,3633,55.2,0
+4640,32,Female,114,79,187,75,78,151,125,6.1,28.3,67,184,Asymptomatic,False,0.6,True,Former,2.1,242,6.0,41.0,False,5567,54.5,0
+4641,56,Male,160,99,194,39,116,215,143,6.6,28.7,82,149,Asymptomatic,False,0.2,False,Former,2.8,0,6.7,22.5,False,4889,49.6,0
+4642,57,Male,118,69,150,34,111,35,157,6.4,20.3,72,161,Typical Angina,True,0.7,False,Never,3.3,89,4.9,51.3,False,4220,64.3,1
+4643,59,Male,122,88,210,63,127,157,125,6.1,30.4,86,164,Asymptomatic,False,0.1,False,Never,3.7,179,5.9,53.3,False,5169,56.0,0
+4644,46,Female,99,65,161,46,80,192,135,6.2,19.7,63,197,Asymptomatic,False,0.2,False,Former,0.7,258,6.2,51.7,True,8718,81.6,0
+4645,60,Female,127,90,192,78,85,147,99,5.0,23.4,73,164,Atypical Angina,False,0.8,False,Never,2.6,182,7.4,64.0,False,8076,75.9,0
+4646,67,Female,155,109,143,27,90,148,114,5.6,22.3,90,142,Typical Angina,False,1.0,False,Never,6.1,95,7.9,89.0,False,5904,51.8,1
+4647,41,Male,126,78,206,73,100,181,104,5.7,17.6,77,185,Typical Angina,False,1.2,False,Current,15.9,211,7.2,49.5,True,8084,82.1,0
+4648,49,Male,120,71,211,54,139,113,114,5.6,27.3,65,185,Asymptomatic,False,1.1,True,Never,6.8,269,8.0,30.1,True,8556,72.4,0
+4649,62,Male,157,98,216,45,118,251,125,5.7,25.3,75,128,Asymptomatic,False,1.2,False,Never,6.3,157,7.4,21.5,False,4626,58.9,1
+4650,42,Female,116,72,178,47,97,140,69,4.0,23.3,87,170,Asymptomatic,False,0.4,True,Former,0.4,142,6.4,82.2,True,7913,57.6,0
+4651,65,Male,138,93,196,48,115,151,123,5.4,30.1,86,146,Atypical Angina,True,1.0,False,Current,14.9,164,7.5,27.3,False,5962,34.8,1
+4652,54,Female,116,71,230,60,137,161,131,5.4,22.8,70,184,Asymptomatic,False,1.7,False,Never,2.5,106,8.5,26.8,False,7039,52.5,0
+4653,66,Male,130,89,193,59,87,255,145,6.7,26.6,78,137,Atypical Angina,True,1.6,False,Never,14.8,79,8.1,45.7,True,8854,49.3,1
+4654,18,Female,94,58,174,56,74,229,126,5.8,26.9,64,209,Asymptomatic,False,0.4,True,Former,5.3,177,7.8,21.9,False,7217,86.3,0
+4655,67,Female,126,71,188,58,90,140,123,6.2,27.0,86,136,Typical Angina,False,1.1,True,Former,2.8,170,6.7,21.7,True,3386,63.9,1
+4656,61,Female,142,76,183,54,81,185,121,5.5,22.5,77,180,Asymptomatic,True,0.9,False,Never,8.1,88,7.5,79.8,True,7988,69.0,0
+4657,63,Female,134,76,163,41,102,131,103,5.1,24.7,73,162,Asymptomatic,False,1.1,False,Never,5.8,167,8.9,69.7,False,6087,71.3,0
+4658,45,Male,119,73,117,34,74,123,127,6.2,24.5,76,170,Asymptomatic,False,0.4,False,Former,13.6,49,6.9,40.4,False,5520,63.4,0
+4659,76,Male,139,91,253,77,163,165,131,6.2,27.7,75,136,Asymptomatic,False,0.8,True,Never,1.6,76,8.2,22.0,False,2447,53.2,0
+4660,44,Male,109,63,167,38,92,150,115,5.2,27.8,83,179,Asymptomatic,False,0.3,True,Never,1.9,120,7.8,48.8,False,5671,63.9,0
+4661,66,Male,129,72,196,49,116,140,148,6.2,25.4,73,121,Non-Anginal Pain,False,2.2,True,Current,21.9,123,6.7,55.1,True,3909,54.1,1
+4662,53,Female,127,76,170,55,77,237,94,4.9,24.4,75,179,Asymptomatic,False,0.9,False,Never,5.7,129,5.7,49.4,True,8006,28.8,0
+4663,29,Female,86,50,184,55,112,114,92,4.6,21.9,77,194,Asymptomatic,False,0.6,False,Never,14.4,155,7.3,12.0,False,5927,78.1,0
+4664,63,Female,126,74,191,53,117,106,133,6.0,22.2,72,172,Atypical Angina,False,2.1,False,Former,11.0,164,5.3,50.0,True,6480,23.0,0
+4665,55,Male,106,63,156,54,87,60,101,5.5,22.6,73,145,Atypical Angina,False,0.2,False,Never,6.2,172,8.6,53.8,True,8137,61.0,0
+4666,44,Female,126,88,184,69,102,77,91,5.0,21.7,66,164,Atypical Angina,False,1.5,False,Former,0.3,69,9.1,25.8,False,7276,77.9,0
+4667,52,Male,121,65,147,49,81,132,103,5.4,24.4,84,164,Asymptomatic,False,1.5,False,Former,5.0,121,7.0,59.1,True,5430,48.6,0
+4668,90,Male,135,74,169,51,82,122,111,4.9,18.2,89,113,Asymptomatic,False,1.2,False,Never,11.0,81,5.2,45.1,False,3874,70.7,1
+4669,45,Male,132,86,217,56,139,93,137,6.1,25.7,91,197,Asymptomatic,False,1.3,False,Never,1.8,100,7.7,60.4,False,6728,42.3,0
+4670,67,Male,149,95,177,55,109,91,131,6.3,31.1,90,140,Asymptomatic,True,1.2,True,Former,2.9,171,6.2,83.6,True,6752,70.1,1
+4671,52,Female,113,67,161,50,71,210,127,5.7,24.3,78,155,Asymptomatic,True,4.8,False,Current,6.7,235,6.9,35.2,True,8858,45.2,1
+4672,57,Male,127,72,217,66,111,179,117,5.4,30.9,71,154,Asymptomatic,True,1.4,False,Never,3.0,273,8.1,47.3,False,7792,41.0,1
+4673,67,Male,142,94,146,67,73,60,153,7.4,15.8,64,121,Asymptomatic,False,3.0,True,Never,5.7,132,6.9,66.6,False,7347,59.6,1
+4674,66,Male,141,86,235,55,143,158,133,6.5,30.5,93,151,Asymptomatic,True,2.9,False,Never,12.3,0,7.8,51.9,False,2499,51.2,1
+4675,60,Female,128,77,237,48,140,198,97,5.2,25.5,96,178,Asymptomatic,False,0.5,False,Never,1.1,125,7.9,42.1,False,4420,56.0,0
+4676,41,Female,137,83,232,69,103,200,116,6.2,24.7,80,188,Asymptomatic,False,0.7,False,Former,1.5,104,7.6,26.7,False,5282,71.3,0
+4677,58,Male,118,70,204,35,136,133,85,4.9,30.1,87,136,Typical Angina,True,4.3,True,Never,5.4,109,8.8,34.9,False,2638,56.1,1
+4678,57,Female,131,90,191,59,118,118,101,5.0,22.3,84,168,Asymptomatic,False,0.5,False,Never,2.8,213,6.0,33.2,False,5092,56.6,0
+4679,46,Female,129,83,194,77,87,122,148,6.0,25.9,77,152,Asymptomatic,False,0.1,False,Never,13.1,86,7.2,48.3,False,3673,73.7,0
+4680,40,Female,110,67,183,59,100,120,146,6.0,30.5,63,194,Non-Anginal Pain,False,1.4,False,Never,1.0,273,7.3,2.4,True,8784,94.3,0
+4681,70,Male,123,77,168,40,104,99,112,5.8,25.7,88,145,Atypical Angina,False,1.2,False,Current,1.6,126,7.8,62.4,True,9828,42.7,0
+4682,39,Male,111,70,199,31,148,136,123,5.4,31.1,78,151,Asymptomatic,True,0.1,True,Current,2.0,108,7.0,13.0,False,4473,24.0,1
+4683,63,Female,115,77,123,50,64,72,119,5.6,21.6,63,188,Asymptomatic,False,1.5,False,Former,4.5,194,6.7,63.3,True,4936,74.9,0
+4684,44,Female,137,78,193,54,104,162,148,6.5,24.7,85,180,Asymptomatic,False,0.2,False,Current,2.5,86,6.8,32.4,False,3170,58.3,0
+4685,63,Male,150,90,204,49,101,250,103,5.3,26.0,91,154,Asymptomatic,False,0.8,False,Never,6.7,0,7.6,49.5,True,4693,37.8,0
+4686,29,Female,110,75,180,54,104,72,101,5.4,22.0,80,192,Asymptomatic,True,1.0,False,Former,0.9,189,6.2,43.2,False,4719,50.0,0
+4687,66,Female,122,80,138,50,75,95,104,5.1,16.8,81,164,Asymptomatic,False,0.1,False,Current,4.3,205,7.5,38.0,True,9654,51.3,0
+4688,50,Female,138,82,225,51,135,133,150,6.9,29.0,92,171,Asymptomatic,False,2.6,False,Never,1.4,119,7.3,41.1,True,8465,58.3,0
+4689,42,Female,123,74,179,60,85,199,113,5.2,24.9,85,178,Asymptomatic,True,0.2,True,Never,0.4,172,6.0,37.5,False,6639,38.9,0
+4690,80,Female,129,91,169,50,90,113,127,6.2,17.8,75,128,Asymptomatic,True,0.0,False,Former,3.2,218,6.5,57.9,False,3458,87.1,0
+4691,54,Female,128,84,187,57,110,64,128,5.7,23.9,86,173,Atypical Angina,False,2.7,False,Never,3.6,189,7.9,56.7,True,8594,61.7,0
+4692,57,Male,117,69,173,52,87,143,142,6.7,30.6,79,159,Non-Anginal Pain,True,2.0,False,Never,1.8,195,6.7,0.0,False,500,40.5,1
+4693,56,Female,127,84,180,33,106,184,81,5.1,24.2,87,159,Non-Anginal Pain,True,0.3,False,Current,5.3,143,6.9,40.8,False,4084,30.2,0
+4694,64,Male,151,112,176,68,87,136,139,6.2,28.2,86,141,Atypical Angina,True,1.9,False,Never,4.3,122,5.4,67.6,True,4640,78.7,0
+4695,47,Male,156,87,150,34,81,181,86,5.0,31.7,71,163,Non-Anginal Pain,False,0.1,False,Former,7.9,135,6.4,69.3,False,6031,54.7,0
+4696,75,Female,123,97,217,49,124,210,149,6.5,27.4,71,140,Asymptomatic,False,0.1,True,Never,3.4,128,6.9,71.3,True,7041,24.6,0
+4697,44,Female,108,69,221,63,122,201,85,4.4,22.4,83,193,Typical Angina,False,0.1,True,Never,0.6,146,6.5,50.1,False,5570,42.1,0
+4698,47,Female,126,85,189,71,94,100,108,5.4,26.4,75,181,Asymptomatic,False,0.1,False,Former,6.2,244,8.1,36.7,False,9784,78.3,0
+4699,57,Male,129,80,161,36,105,155,106,5.5,21.4,62,160,Atypical Angina,False,0.9,False,Never,10.0,222,5.9,42.3,False,4764,58.5,0
+4700,82,Female,115,80,230,44,142,169,117,5.8,26.3,93,153,Non-Anginal Pain,False,0.3,False,Never,0.1,199,7.8,42.1,False,6095,63.0,0
+4701,48,Female,134,77,189,54,100,178,122,5.5,22.5,84,152,Asymptomatic,False,0.7,False,Never,5.9,126,6.6,47.4,False,4890,21.6,0
+4702,59,Male,148,96,175,33,105,213,118,5.5,32.8,75,160,Asymptomatic,False,0.2,True,Former,4.8,109,6.5,37.3,False,6893,67.9,0
+4703,48,Male,103,66,195,42,117,153,60,4.0,20.8,87,187,Non-Anginal Pain,False,0.1,False,Never,3.1,220,7.7,40.8,True,6333,57.0,0
+4704,44,Male,111,67,176,50,109,69,105,5.5,23.2,80,193,Asymptomatic,False,0.5,True,Never,2.2,176,5.9,64.2,False,6497,61.9,0
+4705,58,Female,127,76,163,65,94,83,108,5.4,15.7,78,161,Non-Anginal Pain,False,1.7,False,Never,0.6,134,6.7,36.1,True,8422,45.5,0
+4706,73,Female,150,96,210,84,105,122,111,5.5,26.3,82,152,Asymptomatic,False,1.1,True,Never,0.8,234,7.3,49.8,True,7092,71.6,0
+4707,37,Female,109,65,144,40,75,117,100,5.5,21.2,75,136,Non-Anginal Pain,True,3.1,False,Never,4.0,79,5.8,59.4,False,6134,63.0,1
+4708,57,Male,136,97,177,45,87,195,112,5.4,30.3,73,142,Atypical Angina,True,3.1,True,Never,9.4,95,7.1,30.9,True,6672,81.4,1
+4709,61,Female,144,97,195,36,119,202,125,6.4,33.6,66,130,Non-Anginal Pain,True,1.3,True,Current,16.2,112,9.0,33.2,True,5075,49.5,1
+4710,51,Male,119,60,154,23,94,192,131,6.0,23.8,86,165,Non-Anginal Pain,True,1.4,True,Current,14.2,0,6.3,59.3,False,3036,44.4,0
+4711,50,Male,142,86,116,60,35,144,93,4.9,18.7,73,175,Asymptomatic,False,0.8,True,Never,20.2,250,5.4,56.1,False,8600,74.2,0
+4712,44,Female,107,79,204,68,90,169,126,6.0,21.8,78,193,Atypical Angina,False,1.5,False,Never,4.2,98,6.5,58.2,False,9498,52.8,0
+4713,49,Male,133,93,232,68,141,179,154,6.6,34.5,86,180,Asymptomatic,False,1.7,False,Never,1.8,156,4.4,19.6,False,6989,52.1,1
+4714,47,Male,138,72,175,56,110,132,153,6.1,22.3,81,196,Asymptomatic,True,0.9,False,Former,1.8,182,7.9,75.5,True,7993,46.5,1
+4715,66,Female,141,93,168,58,82,191,140,6.5,19.5,87,133,Asymptomatic,False,0.3,False,Never,5.8,42,6.7,54.0,False,6049,42.1,0
+4716,46,Female,137,85,182,96,70,106,104,5.5,26.7,76,160,Non-Anginal Pain,False,0.9,True,Never,12.3,207,6.9,71.6,False,4897,72.5,0
+4717,58,Female,106,69,161,55,75,182,138,6.1,22.8,84,177,Atypical Angina,False,0.9,False,Never,12.5,228,6.3,54.6,True,7327,56.5,0
+4718,71,Male,157,88,160,59,94,61,144,6.8,22.2,89,112,Asymptomatic,True,0.7,True,Never,1.6,106,7.8,58.4,True,2110,59.8,1
+4719,41,Female,131,88,204,62,126,48,119,6.0,24.0,72,182,Non-Anginal Pain,False,0.4,False,Former,11.2,198,7.6,17.3,True,6915,50.8,0
+4720,42,Female,117,72,186,22,136,132,114,5.6,25.0,84,167,Atypical Angina,False,3.5,False,Former,4.5,85,6.1,53.6,False,4383,47.0,1
+4721,55,Female,129,83,145,36,83,164,168,6.6,19.6,99,164,Asymptomatic,False,0.9,False,Former,5.1,38,7.5,66.6,False,9107,45.0,0
+4722,47,Female,107,73,193,44,97,206,134,6.3,25.2,83,159,Asymptomatic,False,0.4,False,Former,4.0,13,6.7,61.7,False,6771,47.0,1
+4723,67,Female,131,74,223,65,122,196,86,4.9,28.1,70,127,Asymptomatic,False,0.8,False,Never,7.0,161,7.4,63.5,False,3542,51.6,1
+4724,64,Male,146,88,233,58,131,206,117,5.5,23.7,73,124,Typical Angina,False,1.4,False,Never,21.0,221,6.5,61.7,True,8134,55.3,1
+4725,58,Female,130,90,167,53,78,205,118,6.2,29.3,81,165,Asymptomatic,False,0.5,False,Never,6.6,27,6.0,43.5,True,8071,49.3,0
+4726,70,Male,122,94,192,54,98,228,103,5.7,22.9,75,158,Non-Anginal Pain,False,0.5,False,Never,6.4,217,8.0,50.8,True,11429,68.8,0
+4727,50,Male,121,80,182,60,93,169,143,5.8,25.4,91,181,Non-Anginal Pain,False,0.6,False,Former,7.1,240,5.6,82.5,True,8632,64.1,0
+4728,56,Male,104,67,190,56,91,197,93,5.4,25.5,87,162,Non-Anginal Pain,False,0.2,False,Former,3.5,180,7.6,48.4,True,8673,62.6,0
+4729,70,Male,132,97,266,61,170,185,124,5.9,32.4,98,139,Atypical Angina,True,0.4,False,Never,2.0,143,6.0,40.4,True,5378,46.3,1
+4730,86,Female,138,89,276,57,169,231,123,6.3,26.9,83,136,Typical Angina,True,3.4,False,Never,5.4,238,8.0,52.0,True,8362,54.3,1
+4731,49,Male,118,79,163,50,79,155,148,6.7,20.7,71,186,Atypical Angina,False,0.6,False,Never,10.2,228,4.8,49.3,True,7438,57.3,0
+4732,50,Male,144,92,232,52,140,210,122,5.4,25.5,71,168,Asymptomatic,False,0.8,True,Former,22.5,198,6.2,37.2,True,8333,88.6,0
+4733,75,Male,115,55,175,57,82,179,90,4.5,22.8,91,137,Typical Angina,False,2.5,False,Former,4.7,217,7.0,40.6,True,9481,98.1,0
+4734,55,Female,133,72,165,46,87,127,140,6.3,21.5,87,194,Atypical Angina,True,0.2,False,Current,1.6,132,8.1,26.5,True,9387,34.2,0
+4735,36,Male,119,83,186,44,122,139,122,5.4,36.7,70,189,Asymptomatic,False,0.6,False,Former,3.3,190,5.4,39.9,False,5251,50.8,0
+4736,60,Male,149,97,227,71,102,325,157,6.7,33.5,78,158,Asymptomatic,False,0.5,True,Never,5.4,146,6.9,73.4,False,4770,38.8,0
+4737,55,Female,141,87,222,58,127,137,70,4.4,26.2,72,166,Non-Anginal Pain,False,0.2,True,Former,0.2,180,7.5,60.9,False,8028,58.6,0
+4738,57,Female,114,65,175,56,115,77,114,5.8,28.4,81,158,Non-Anginal Pain,False,0.3,False,Never,2.3,140,6.8,38.5,False,6897,44.1,0
+4739,67,Male,113,70,215,60,109,207,141,6.8,23.6,63,162,Atypical Angina,False,1.5,True,Never,2.0,223,6.9,47.4,True,8047,56.5,0
+4740,48,Male,126,89,165,67,60,172,112,5.6,21.9,78,187,Atypical Angina,True,1.2,False,Former,13.1,171,8.0,34.1,True,5860,74.7,1
+4741,47,Female,136,84,243,75,131,189,135,5.9,25.3,74,170,Non-Anginal Pain,False,0.5,True,Former,3.2,269,6.0,48.3,True,7566,54.1,0
+4742,45,Female,120,66,149,46,87,125,94,5.0,25.4,65,181,Non-Anginal Pain,False,0.5,False,Former,6.9,223,8.3,50.6,True,4995,55.6,0
+4743,71,Male,133,92,190,56,115,106,111,5.7,18.2,80,146,Asymptomatic,False,0.8,False,Never,1.8,67,5.9,41.1,False,6555,65.0,0
+4744,59,Male,142,106,161,33,93,177,116,5.9,32.0,84,134,Asymptomatic,False,0.1,False,Never,7.0,0,6.0,57.2,False,3479,79.8,1
+4745,21,Male,97,66,130,47,59,110,75,4.4,22.8,97,186,Non-Anginal Pain,False,0.6,False,Current,1.5,232,5.4,56.0,True,7534,61.4,0
+4746,67,Female,127,84,180,50,111,81,109,5.7,25.4,68,144,Asymptomatic,False,1.4,False,Never,5.7,114,8.4,48.8,False,1251,74.9,0
+4747,60,Female,122,80,239,73,140,144,125,6.1,25.9,86,172,Asymptomatic,False,0.1,False,Former,2.8,81,7.3,63.8,False,7281,26.7,0
+4748,18,Male,131,83,107,44,46,98,116,5.9,26.0,96,210,Asymptomatic,False,0.2,False,Current,1.6,33,6.7,90.1,False,5432,68.8,0
+4749,76,Female,125,76,202,56,106,167,143,6.5,27.2,77,147,Asymptomatic,False,0.6,True,Never,1.2,140,7.5,43.9,False,1513,81.7,0
+4750,79,Female,142,99,228,35,147,217,107,5.5,28.2,71,147,Non-Anginal Pain,False,1.0,False,Never,1.1,169,4.4,54.6,False,5643,68.9,0
+4751,56,Female,147,83,160,50,70,240,144,5.9,32.1,80,153,Asymptomatic,True,0.6,True,Former,1.4,269,8.2,61.9,True,8062,69.4,1
+4752,63,Female,118,81,135,33,82,155,140,7.1,25.4,83,155,Non-Anginal Pain,False,0.9,False,Never,3.5,74,6.9,44.8,False,7135,74.0,0
+4753,49,Male,127,77,218,52,140,119,79,5.1,16.2,63,173,Asymptomatic,True,0.5,False,Never,9.9,136,6.6,67.2,True,7075,51.8,1
+4754,48,Male,115,73,206,67,116,66,153,6.4,22.8,71,147,Typical Angina,True,0.8,False,Never,2.2,176,8.3,21.6,True,6955,68.9,1
+4755,70,Male,148,96,189,51,99,103,159,7.0,32.5,68,131,Asymptomatic,False,0.9,True,Never,9.1,219,8.3,24.8,True,8067,54.5,1
+4756,49,Female,122,84,174,23,111,182,99,5.3,33.1,77,145,Non-Anginal Pain,True,5.8,False,Never,9.9,103,6.6,64.3,False,8623,53.3,1
+4757,48,Male,89,57,189,44,114,146,139,6.5,32.0,83,189,Asymptomatic,False,0.6,False,Never,3.8,247,4.9,37.3,True,9705,53.4,0
+4758,61,Female,126,69,195,68,93,206,85,4.6,28.4,86,146,Asymptomatic,False,1.0,False,Never,0.5,119,6.0,48.5,False,6179,48.5,0
+4759,36,Male,122,76,152,60,74,35,122,5.8,21.2,74,182,Non-Anginal Pain,False,0.6,True,Never,1.8,124,4.6,16.6,False,5619,53.0,0
+4760,49,Female,121,85,149,54,55,198,96,4.8,17.9,61,158,Asymptomatic,True,0.9,True,Former,1.1,157,7.6,56.2,True,7959,93.7,1
+4761,65,Female,147,95,223,69,111,197,151,6.5,26.9,72,151,Atypical Angina,False,1.3,False,Never,0.8,270,7.8,16.4,True,8345,54.0,1
+4762,31,Female,130,81,187,47,117,160,118,5.9,36.1,81,176,Non-Anginal Pain,False,0.3,True,Never,3.8,212,8.8,68.0,False,8167,76.9,0
+4763,52,Female,127,79,178,37,114,186,118,5.8,26.3,98,177,Typical Angina,False,0.5,False,Former,7.7,105,5.4,3.7,False,7526,45.4,1
+4764,49,Male,146,81,197,49,132,110,101,5.1,26.2,85,154,Asymptomatic,False,0.4,False,Never,2.6,154,7.1,38.7,True,6581,56.6,0
+4765,44,Male,148,77,203,56,140,94,96,5.1,23.1,94,182,Asymptomatic,False,0.4,True,Former,1.9,0,7.5,47.8,False,3019,58.4,0
+4766,38,Female,117,86,118,45,64,97,86,4.8,27.5,83,189,Asymptomatic,False,0.8,True,Never,0.4,223,7.3,68.7,False,2576,73.8,0
+4767,42,Female,131,95,224,49,135,186,116,6.3,23.6,84,194,Asymptomatic,False,0.3,False,Former,4.7,73,9.7,58.8,True,10519,69.1,0
+4768,45,Female,137,84,226,56,145,122,112,5.7,23.4,94,195,Asymptomatic,False,0.4,False,Current,8.0,145,5.3,57.3,False,6251,51.0,0
+4769,43,Female,146,102,120,36,72,116,135,7.0,29.1,70,171,Asymptomatic,False,1.3,False,Never,16.1,48,8.1,66.4,False,7700,72.6,0
+4770,50,Male,137,85,192,31,117,254,123,6.0,37.2,79,158,Typical Angina,True,0.8,True,Former,6.4,176,8.0,53.0,False,7389,31.4,1
+4771,48,Female,149,90,174,49,80,201,150,6.9,29.5,74,166,Non-Anginal Pain,True,1.2,False,Current,0.9,185,7.3,53.9,True,4392,33.2,0
+4772,40,Male,126,78,184,55,98,208,119,5.7,29.4,83,172,Non-Anginal Pain,False,2.2,False,Never,16.2,118,8.3,57.6,False,9085,42.3,0
+4773,58,Male,105,79,176,41,106,123,125,6.0,29.9,74,157,Asymptomatic,False,0.3,False,Current,2.0,164,7.2,16.7,False,6286,60.4,0
+4774,57,Male,143,89,151,52,66,129,110,5.6,25.4,86,162,Atypical Angina,False,1.9,False,Never,3.3,238,5.9,57.8,True,7694,75.1,0
+4775,36,Female,109,74,157,46,76,171,86,4.5,20.3,85,210,Asymptomatic,False,2.2,False,Former,2.3,244,7.4,49.8,True,3416,87.8,0
+4776,67,Female,138,93,175,31,87,231,130,6.3,28.8,75,143,Asymptomatic,False,6.5,False,Never,13.5,43,6.9,44.5,False,3760,47.7,1
+4777,51,Male,128,77,185,40,111,183,106,5.1,28.2,87,157,Atypical Angina,False,2.4,False,Never,1.8,98,7.8,51.8,True,5477,82.0,0
+4778,61,Female,99,69,243,82,111,243,110,6.1,24.5,71,148,Asymptomatic,False,0.4,False,Never,1.6,101,7.1,30.6,False,6134,78.3,0
+4779,44,Male,146,82,183,60,95,139,127,5.7,28.7,58,180,Asymptomatic,False,0.7,True,Former,2.4,256,4.8,60.8,False,6115,40.2,0
+4780,40,Male,126,84,195,43,112,164,152,6.6,28.1,79,178,Atypical Angina,False,2.2,False,Former,2.2,72,6.9,36.7,False,5789,48.6,0
+4781,54,Male,130,80,222,58,115,195,147,6.5,26.9,74,175,Asymptomatic,True,0.5,False,Former,8.0,182,5.9,58.8,False,3457,40.6,1
+4782,41,Female,121,71,175,69,79,95,102,5.5,28.3,80,210,Asymptomatic,False,1.7,False,Current,2.2,221,6.2,54.5,False,5587,85.0,0
+4783,67,Male,127,77,176,56,99,84,121,5.5,18.8,76,157,Asymptomatic,False,1.1,False,Former,4.3,150,7.7,34.1,True,8954,61.7,0
+4784,81,Female,139,86,180,42,94,161,104,5.3,21.6,84,129,Non-Anginal Pain,True,0.8,True,Current,0.4,190,6.9,39.1,True,8593,53.7,1
+4785,64,Male,133,81,187,41,124,85,101,4.9,20.6,83,157,Asymptomatic,False,2.0,False,Former,2.5,70,8.7,43.6,False,6539,62.0,0
+4786,54,Female,140,96,191,62,104,124,138,6.3,17.5,80,191,Atypical Angina,False,0.1,False,Never,0.4,111,8.3,51.0,True,8965,52.1,0
+4787,49,Female,134,76,212,58,116,177,142,6.0,23.3,81,184,Asymptomatic,False,0.2,False,Never,10.4,133,8.6,43.4,True,3479,74.9,0
+4788,43,Male,147,100,192,63,89,179,103,6.0,20.0,88,169,Atypical Angina,True,0.1,False,Current,1.6,169,9.5,25.2,False,3085,57.8,0
+4789,51,Female,125,79,202,43,124,232,86,5.0,35.8,89,133,Typical Angina,True,2.2,False,Never,18.2,28,7.5,70.8,False,1064,71.4,1
+4790,43,Female,119,76,187,68,82,141,157,6.7,26.0,82,195,Asymptomatic,False,0.3,False,Former,0.4,96,6.9,57.8,False,4584,65.6,0
+4791,46,Female,131,81,204,69,96,184,123,6.3,23.2,84,197,Asymptomatic,False,3.2,False,Never,2.7,249,7.3,56.3,True,8958,62.7,0
+4792,71,Male,105,69,233,47,140,215,170,6.9,26.7,69,140,Non-Anginal Pain,True,1.4,False,Never,3.2,93,6.4,32.6,True,6923,37.9,1
+4793,49,Female,146,95,222,61,116,176,82,4.4,26.2,72,176,Non-Anginal Pain,False,0.5,True,Never,11.1,191,7.0,51.5,True,9169,52.4,0
+4794,64,Male,118,85,170,47,110,74,80,5.2,28.8,92,194,Asymptomatic,False,0.2,False,Never,6.4,153,7.3,54.5,True,8607,79.2,0
+4795,67,Male,140,91,179,34,121,112,156,6.5,29.3,92,131,Non-Anginal Pain,False,2.9,True,Current,6.0,50,7.0,83.5,False,5647,49.6,1
+4796,56,Male,124,84,162,57,84,121,85,4.6,22.9,67,171,Asymptomatic,False,0.6,True,Current,2.4,64,6.6,42.3,False,6167,55.6,0
+4797,59,Female,109,54,240,69,139,135,150,6.6,25.4,85,171,Atypical Angina,False,2.1,True,Never,1.5,142,10.0,55.9,False,6685,62.1,0
+4798,56,Male,120,70,208,68,94,164,96,5.0,23.6,66,153,Atypical Angina,False,1.0,False,Never,3.9,178,6.5,44.7,False,5985,96.4,0
+4799,43,Male,143,94,205,77,101,223,141,5.5,26.5,87,203,Asymptomatic,False,0.5,False,Never,1.9,259,5.9,66.8,True,6022,52.5,0
+4800,51,Female,134,89,168,38,127,100,155,7.3,29.7,87,157,Non-Anginal Pain,True,0.2,False,Current,1.3,25,7.7,46.0,False,6370,43.8,1
+4801,63,Female,119,80,167,63,89,124,111,5.6,18.6,94,155,Atypical Angina,False,1.7,False,Current,14.2,104,7.0,48.3,False,9596,81.7,0
+4802,37,Male,118,75,116,50,52,59,148,6.6,21.8,92,175,Non-Anginal Pain,False,1.0,False,Current,3.1,46,8.2,37.0,False,7582,59.4,0
+4803,48,Female,124,77,249,82,129,120,85,4.3,21.2,91,164,Typical Angina,False,2.0,False,Former,14.7,189,7.2,55.2,False,3043,72.8,0
+4804,59,Male,150,97,222,46,126,229,133,5.9,28.9,74,184,Asymptomatic,False,1.3,False,Never,10.0,201,8.5,58.6,True,10574,47.3,0
+4805,61,Male,135,84,188,66,68,247,128,5.8,28.7,86,145,Non-Anginal Pain,True,0.2,False,Never,3.3,241,7.5,44.4,True,4260,85.7,1
+4806,55,Male,124,72,181,63,85,109,84,4.4,26.2,84,157,Atypical Angina,False,0.7,False,Never,2.0,182,7.5,51.2,True,8783,61.7,0
+4807,50,Female,111,73,181,68,93,140,101,5.5,18.8,76,171,Asymptomatic,False,0.7,False,Never,6.5,214,7.3,51.7,True,8134,62.0,0
+4808,59,Male,135,85,214,41,145,123,121,5.7,32.5,82,156,Asymptomatic,True,0.4,False,Never,1.6,196,5.6,57.9,True,8525,53.5,1
+4809,58,Male,124,68,137,66,64,63,124,6.4,18.0,73,162,Non-Anginal Pain,False,0.4,False,Never,9.7,211,7.5,0.0,True,5733,60.7,0
+4810,55,Male,98,56,218,58,132,122,110,5.1,25.4,83,171,Asymptomatic,True,0.7,False,Never,7.1,111,6.7,2.8,False,3301,60.6,0
+4811,55,Female,137,95,149,56,74,122,75,5.1,27.9,88,141,Typical Angina,True,0.8,True,Current,3.8,97,6.7,54.1,False,1614,53.1,1
+4812,58,Male,104,73,200,56,102,158,135,6.0,23.1,90,132,Asymptomatic,True,1.9,False,Never,4.2,58,8.4,39.7,False,2704,31.5,1
+4813,46,Male,109,63,199,60,92,206,141,6.3,34.6,76,189,Non-Anginal Pain,False,0.3,False,Never,7.9,114,7.1,62.6,False,4471,65.9,0
+4814,67,Male,140,82,165,53,85,131,100,5.1,29.1,86,147,Asymptomatic,False,0.8,False,Former,8.1,114,6.5,50.9,False,7183,53.8,0
+4815,71,Male,175,107,206,39,147,88,134,6.3,34.1,90,132,Atypical Angina,False,2.1,False,Current,2.8,13,5.7,91.5,False,2212,32.7,1
+4816,51,Female,118,61,129,41,73,71,118,5.6,23.8,70,189,Non-Anginal Pain,False,0.7,False,Current,2.9,176,6.0,24.6,True,6630,62.6,0
+4817,24,Female,101,70,161,86,57,90,131,5.5,15.0,75,206,Asymptomatic,False,0.9,False,Never,2.5,138,7.4,33.1,True,7401,57.0,0
+4818,39,Male,120,75,207,68,93,209,85,4.3,24.8,85,181,Non-Anginal Pain,False,0.3,True,Never,7.9,140,7.4,38.8,False,3949,64.3,0
+4819,63,Male,133,82,202,52,132,132,119,5.7,19.9,86,147,Typical Angina,False,0.4,True,Never,1.6,172,7.6,38.1,False,6434,73.5,1
+4820,41,Female,124,74,216,58,134,144,125,5.9,17.0,83,184,Typical Angina,False,0.4,False,Current,9.5,126,6.1,38.8,False,7468,41.9,0
+4821,60,Female,136,90,191,31,113,165,123,6.3,24.6,79,139,Asymptomatic,False,1.7,True,Never,9.1,42,6.1,59.2,False,5626,30.0,1
+4822,38,Male,113,72,177,53,108,105,129,6.2,19.0,73,182,Non-Anginal Pain,False,0.6,True,Current,8.8,192,7.1,30.3,False,6726,56.2,0
+4823,61,Male,132,84,220,64,120,177,129,5.7,25.1,86,152,Typical Angina,False,0.9,False,Never,2.7,60,6.4,50.8,True,5475,71.3,0
+4824,56,Male,118,67,149,66,62,79,111,5.4,15.0,71,173,Asymptomatic,False,0.2,True,Never,2.4,272,5.9,33.7,False,6026,66.9,0
+4825,54,Female,101,65,243,71,149,131,96,5.0,20.5,80,187,Asymptomatic,False,0.6,False,Former,0.6,177,7.4,63.0,True,8429,56.0,0
+4826,49,Male,126,72,135,38,68,116,138,6.1,23.3,79,161,Asymptomatic,False,1.2,True,Never,3.3,114,8.2,38.3,True,8088,53.3,0
+4827,59,Male,111,70,159,47,86,140,159,6.7,28.4,80,153,Atypical Angina,False,0.7,False,Never,1.7,64,6.9,22.2,False,4455,64.1,0
+4828,39,Male,118,79,155,58,99,96,96,4.8,20.4,83,175,Asymptomatic,False,0.3,False,Former,2.2,148,7.2,55.1,True,5740,76.9,0
+4829,58,Male,142,88,147,66,71,75,155,6.3,28.1,71,173,Asymptomatic,False,0.5,False,Never,5.5,292,8.7,72.3,True,7565,70.9,0
+4830,51,Male,135,96,167,54,87,164,124,6.2,22.5,57,182,Asymptomatic,False,0.1,False,Never,9.4,123,6.6,44.2,True,9049,69.9,0
+4831,75,Male,146,88,170,49,84,173,138,6.5,30.8,89,139,Typical Angina,True,1.9,False,Former,7.9,1,7.0,54.4,False,3605,51.1,1
+4832,28,Female,102,66,158,52,87,115,98,5.3,23.5,69,197,Atypical Angina,False,0.7,False,Never,6.8,200,7.4,57.1,True,9102,58.6,0
+4833,56,Female,149,91,201,81,88,141,103,5.0,25.7,77,150,Atypical Angina,False,1.5,False,Former,9.1,166,6.1,97.5,True,4969,63.7,0
+4834,45,Male,146,102,135,35,81,165,113,5.6,29.8,88,157,Non-Anginal Pain,True,1.9,True,Never,7.4,92,7.4,81.2,False,5397,62.1,1
+4835,60,Female,132,88,231,61,147,158,109,5.8,24.9,74,165,Non-Anginal Pain,False,0.7,False,Never,15.1,148,7.1,48.2,True,5485,65.6,0
+4836,66,Female,150,102,194,55,99,192,122,5.5,26.3,85,145,Asymptomatic,False,0.5,True,Former,9.8,131,7.2,55.2,True,5838,65.2,0
+4837,36,Female,135,98,213,77,119,136,130,6.6,27.9,87,167,Asymptomatic,False,1.0,True,Never,4.5,170,6.7,36.1,True,6624,53.3,0
+4838,72,Male,132,80,195,75,101,79,115,5.6,25.3,78,153,Non-Anginal Pain,False,0.4,False,Former,2.9,133,8.1,44.1,True,5809,55.3,0
+4839,48,Male,155,99,218,45,118,275,125,6.3,29.8,87,137,Asymptomatic,False,1.0,False,Current,12.1,67,7.3,65.1,False,3585,28.7,1
+4840,51,Female,120,68,172,60,79,225,104,5.6,28.0,81,177,Asymptomatic,False,1.3,True,Never,4.4,191,6.2,60.0,False,5530,63.2,1
+4841,45,Male,118,75,225,36,155,159,154,7.0,26.5,75,174,Non-Anginal Pain,False,0.8,False,Current,8.7,82,5.8,1.9,False,3707,36.5,0
+4842,24,Female,116,81,153,80,74,62,88,4.7,18.9,72,195,Asymptomatic,False,0.2,False,Never,1.2,241,5.7,55.6,True,9382,95.2,0
+4843,47,Male,129,76,241,52,140,242,148,6.3,30.6,100,147,Non-Anginal Pain,False,1.3,False,Former,5.3,128,8.1,57.3,False,3609,58.5,1
+4844,37,Female,132,91,183,50,100,198,71,4.5,22.3,79,186,Atypical Angina,False,0.4,False,Former,4.6,156,7.5,47.6,False,6765,56.9,0
+4845,32,Male,124,76,162,51,86,168,106,5.2,23.6,83,202,Asymptomatic,False,1.1,False,Never,10.4,137,6.5,66.8,False,7821,34.4,0
+4846,69,Female,144,103,196,46,123,141,114,5.4,29.5,85,99,Typical Angina,True,1.0,False,Never,3.0,75,6.3,45.7,False,6632,25.9,1
+4847,68,Female,160,112,158,60,75,124,79,5.0,19.7,75,164,Asymptomatic,False,0.2,False,Never,2.1,0,9.5,56.6,False,5890,61.3,0
+4848,58,Male,135,78,195,40,102,205,114,5.3,30.5,83,148,Asymptomatic,True,0.4,False,Current,3.6,158,7.4,43.5,True,9409,46.9,1
+4849,41,Male,122,82,151,63,41,223,122,5.9,17.5,73,210,Atypical Angina,False,1.8,False,Never,4.3,212,6.5,28.8,True,6142,71.6,0
+4850,68,Female,143,101,183,43,114,154,103,5.2,31.4,69,122,Typical Angina,True,2.8,False,Former,0.7,204,7.5,48.5,True,6644,42.5,1
+4851,55,Male,137,88,248,42,162,245,173,7.7,31.6,84,165,Asymptomatic,True,0.8,True,Never,6.2,0,9.2,61.0,False,4783,44.2,1
+4852,50,Male,135,79,173,47,116,135,131,6.1,26.2,81,134,Atypical Angina,True,0.3,False,Never,8.9,111,5.8,32.4,True,8139,53.6,1
+4853,43,Female,116,71,187,74,99,132,72,4.5,17.4,72,177,Atypical Angina,False,1.7,True,Former,0.0,157,6.9,67.2,False,6146,68.6,0
+4854,55,Female,145,88,227,61,120,152,155,7.0,29.6,85,158,Asymptomatic,False,2.2,False,Former,2.5,40,7.1,28.9,False,3612,61.9,1
+4855,51,Male,136,66,214,42,124,234,109,5.6,21.3,89,148,Atypical Angina,True,4.6,False,Former,8.1,114,7.7,55.8,False,4649,43.8,1
+4856,49,Female,129,70,221,49,133,207,114,5.6,23.3,86,143,Typical Angina,False,2.7,False,Current,0.5,156,6.7,54.3,True,8317,33.3,1
+4857,49,Female,131,78,203,65,96,199,112,5.5,19.3,74,181,Non-Anginal Pain,False,0.3,False,Never,10.3,278,7.6,37.8,True,5782,48.7,0
+4858,62,Male,122,77,191,51,114,153,111,5.3,19.0,85,151,Typical Angina,False,1.6,False,Never,3.1,132,7.6,36.5,False,7192,99.3,0
+4859,61,Female,133,79,222,56,140,150,122,5.7,21.0,77,190,Asymptomatic,False,0.9,False,Never,0.8,182,6.2,61.4,False,4480,61.5,0
+4860,71,Male,134,83,119,49,48,132,150,6.6,28.0,69,154,Non-Anginal Pain,False,2.1,True,Former,6.5,153,5.0,86.7,False,3712,63.6,0
+4861,50,Male,132,75,154,56,71,174,104,5.5,30.6,85,177,Asymptomatic,True,2.6,True,Never,3.5,209,6.0,37.3,True,8055,63.2,0
+4862,38,Female,131,89,194,58,103,190,139,5.8,23.7,78,188,Non-Anginal Pain,True,0.5,False,Never,1.4,203,7.9,62.0,True,5332,42.2,0
+4863,56,Male,162,97,200,38,123,150,93,4.8,29.9,74,156,Asymptomatic,False,1.3,False,Current,9.5,69,7.9,33.1,False,7525,66.6,1
+4864,32,Male,114,72,207,30,156,178,96,5.7,33.5,74,189,Asymptomatic,False,0.3,True,Never,2.2,72,6.0,59.7,False,7776,33.4,0
+4865,42,Female,130,77,226,64,113,200,115,6.1,29.4,73,155,Asymptomatic,False,1.3,False,Never,7.8,214,5.2,37.5,True,6103,59.6,0
+4866,67,Female,145,99,196,65,111,71,155,6.6,23.5,97,137,Atypical Angina,True,1.6,True,Never,3.2,111,4.7,31.7,False,3218,81.5,1
+4867,75,Female,155,94,222,71,108,128,137,6.8,24.4,83,185,Asymptomatic,False,0.0,False,Current,3.2,111,7.7,43.9,True,3857,46.7,0
+4868,60,Male,138,89,171,56,103,45,116,5.7,20.6,62,168,Typical Angina,False,0.2,False,Never,3.7,150,6.4,62.7,True,7212,81.7,0
+4869,56,Male,114,72,138,55,67,72,105,5.0,15.2,91,168,Asymptomatic,False,0.0,False,Never,4.8,133,6.8,63.0,True,5911,61.0,0
+4870,50,Male,126,69,153,41,97,60,112,5.4,24.9,57,177,Asymptomatic,False,0.9,True,Former,3.2,197,7.6,56.6,True,8490,49.8,0
+4871,55,Male,114,74,148,60,65,110,87,5.2,22.5,88,182,Asymptomatic,False,1.4,False,Former,10.3,111,7.8,44.2,True,7027,66.6,0
+4872,54,Male,147,86,220,60,118,212,167,7.0,30.3,89,152,Asymptomatic,True,2.1,False,Current,7.7,170,8.0,31.4,False,7002,50.5,1
+4873,58,Female,141,94,203,49,112,170,131,6.4,28.0,89,148,Non-Anginal Pain,False,1.3,False,Never,4.9,13,9.6,43.5,False,6555,31.2,1
+4874,44,Female,117,63,170,57,76,160,96,5.2,20.7,74,182,Asymptomatic,False,0.3,False,Never,4.6,142,9.7,57.1,True,8664,59.5,0
+4875,56,Female,129,81,184,57,96,127,105,6.2,23.5,74,165,Non-Anginal Pain,False,0.4,True,Never,7.7,222,7.2,40.9,True,6257,83.8,0
+4876,36,Female,125,84,211,50,125,151,131,6.8,32.3,74,169,Non-Anginal Pain,False,0.1,False,Former,1.2,195,9.1,61.6,True,8320,96.9,0
+4877,33,Male,140,84,177,53,95,175,123,6.3,27.3,78,189,Asymptomatic,False,0.4,False,Never,7.5,165,6.6,39.6,True,9574,43.3,0
+4878,68,Male,130,75,212,48,124,241,101,5.2,25.2,72,128,Asymptomatic,True,1.4,False,Never,17.6,40,9.6,24.7,True,7496,36.2,1
+4879,90,Female,130,84,168,43,89,159,121,6.4,29.7,92,129,Typical Angina,True,0.4,True,Former,1.8,110,6.9,48.0,True,5245,63.2,1
+4880,56,Female,112,56,217,73,103,198,152,6.3,26.7,71,166,Non-Anginal Pain,False,0.0,False,Former,1.3,192,6.2,51.7,True,7777,68.6,0
+4881,54,Female,115,76,186,61,91,174,64,4.6,17.8,72,181,Asymptomatic,False,0.2,False,Former,0.1,280,8.9,21.9,True,7025,69.8,0
+4882,71,Female,119,103,230,68,136,129,146,6.0,18.8,82,145,Asymptomatic,False,0.2,True,Never,2.8,76,6.6,30.6,False,5188,54.7,0
+4883,37,Male,117,82,188,72,92,109,110,5.6,22.7,88,200,Atypical Angina,False,1.6,True,Never,19.1,172,7.0,65.2,True,8243,89.2,0
+4884,33,Male,118,72,203,69,100,173,75,4.8,23.8,82,210,Atypical Angina,False,0.2,False,Current,1.7,161,6.1,53.1,True,8180,38.4,0
+4885,63,Female,155,107,242,59,148,167,90,5.6,33.8,91,154,Atypical Angina,True,1.8,False,Former,0.6,132,8.1,73.1,False,5426,40.4,1
+4886,72,Male,134,90,146,65,59,62,113,5.6,20.8,75,142,Typical Angina,False,0.9,False,Never,4.3,72,8.3,64.6,False,8078,65.7,0
+4887,62,Male,123,73,197,42,93,248,124,6.2,29.5,80,166,Asymptomatic,False,0.3,False,Former,12.5,61,5.8,31.9,False,2936,44.2,0
+4888,51,Female,120,64,185,49,101,179,105,5.4,28.1,81,157,Asymptomatic,False,0.8,True,Never,0.8,139,8.2,39.4,False,5760,66.8,0
+4889,77,Male,152,89,145,48,95,35,94,5.1,22.3,85,121,Typical Angina,True,4.1,False,Former,5.5,157,6.6,43.9,True,6885,56.8,1
+4890,47,Female,117,75,167,58,81,173,123,5.6,19.8,73,184,Atypical Angina,False,2.5,False,Former,13.0,158,7.0,42.1,True,7950,62.2,0
+4891,52,Male,135,84,197,49,94,221,127,6.4,29.1,79,174,Non-Anginal Pain,False,2.3,False,Former,1.6,0,6.7,57.7,False,2614,52.2,1
+4892,48,Female,127,86,201,55,122,101,105,6.0,26.0,87,158,Asymptomatic,False,1.5,False,Current,2.2,86,7.2,46.7,False,5720,33.2,1
+4893,38,Female,114,87,154,75,58,112,137,6.1,29.0,84,188,Asymptomatic,False,0.9,False,Never,0.2,165,7.3,50.3,False,6046,75.6,0
+4894,51,Female,113,68,139,55,59,174,101,5.2,21.3,69,190,Asymptomatic,False,1.8,True,Never,9.1,156,6.8,3.2,False,6418,75.0,0
+4895,52,Female,124,83,201,53,127,88,129,6.3,21.2,78,167,Atypical Angina,False,1.5,True,Current,1.9,171,7.4,65.5,True,8245,54.7,0
+4896,52,Female,113,73,182,52,104,191,115,5.4,21.1,100,181,Non-Anginal Pain,False,0.9,True,Current,10.8,201,7.4,44.9,True,7033,70.7,0
+4897,61,Male,131,88,151,53,67,171,145,6.5,26.2,69,140,Asymptomatic,False,0.1,False,Never,14.8,92,8.1,58.6,False,1759,46.9,0
+4898,46,Female,119,63,170,52,102,114,111,6.0,21.6,78,187,Asymptomatic,True,0.4,False,Never,1.6,206,8.3,37.8,True,9173,62.1,0
+4899,70,Female,125,85,225,78,135,131,123,5.7,27.1,81,135,Non-Anginal Pain,False,0.4,True,Never,8.1,189,6.1,17.2,True,3583,69.5,0
+4900,50,Female,121,89,240,62,136,241,119,5.2,22.9,82,160,Asymptomatic,False,1.9,False,Former,1.1,46,6.9,48.8,False,8884,47.0,0
+4901,40,Male,109,72,156,63,79,159,76,4.5,29.2,82,187,Non-Anginal Pain,False,0.7,False,Never,7.9,135,6.8,59.1,False,4003,69.3,0
+4902,39,Female,126,81,239,56,123,253,114,5.5,30.7,90,179,Non-Anginal Pain,False,2.0,False,Former,4.9,74,6.4,36.6,False,5917,49.9,0
+4903,48,Male,143,79,161,18,99,195,144,6.7,27.4,84,167,Asymptomatic,False,0.2,False,Former,2.1,91,5.0,55.7,False,3618,58.0,0
+4904,51,Female,134,94,187,70,108,107,101,5.0,19.9,80,158,Non-Anginal Pain,False,0.3,False,Never,8.7,153,5.6,70.2,False,6289,74.4,0
+4905,59,Female,125,73,210,61,129,119,114,6.0,22.5,72,156,Asymptomatic,False,0.2,False,Never,1.6,168,8.4,46.9,True,5706,60.9,0
+4906,56,Male,135,86,252,67,147,183,153,6.7,27.2,81,150,Non-Anginal Pain,False,0.7,True,Current,2.0,131,8.7,44.1,True,6541,49.3,1
+4907,68,Male,162,106,206,61,104,200,139,6.5,32.6,85,137,Atypical Angina,False,0.1,False,Former,3.1,138,8.6,51.8,False,4287,76.8,1
+4908,48,Female,136,83,190,39,93,266,113,6.3,23.3,85,195,Non-Anginal Pain,False,1.5,False,Former,13.8,133,6.7,36.2,True,3610,49.9,0
+4909,63,Male,120,76,160,51,83,99,109,5.5,20.1,96,158,Asymptomatic,False,2.4,True,Never,4.2,33,7.0,29.7,False,6118,65.7,0
+4910,55,Female,133,94,134,37,84,35,107,5.6,23.3,75,181,Non-Anginal Pain,False,0.9,False,Current,3.5,171,6.5,27.8,False,6330,58.4,0
+4911,62,Male,125,83,201,42,135,176,98,5.4,31.9,92,143,Asymptomatic,False,0.7,False,Never,3.0,99,7.5,69.5,True,4679,70.0,1
+4912,45,Female,111,54,245,68,152,145,117,6.1,26.1,76,182,Atypical Angina,True,0.2,True,Current,1.9,186,8.1,20.8,True,10019,58.0,1
+4913,65,Male,117,75,186,51,116,89,101,5.0,21.5,91,164,Atypical Angina,False,0.3,False,Current,12.2,141,7.8,72.5,True,6749,56.6,0
+4914,41,Female,110,75,139,53,63,164,156,7.0,23.9,72,187,Atypical Angina,False,0.3,False,Former,3.3,214,4.3,42.6,True,5811,45.4,0
+4915,83,Male,123,82,231,34,157,168,167,7.1,28.6,79,105,Atypical Angina,False,0.1,False,Current,4.9,117,6.1,44.8,False,8537,56.6,1
+4916,34,Male,125,84,144,39,90,79,119,5.8,25.1,65,188,Asymptomatic,False,1.4,True,Never,2.8,173,6.3,47.5,False,3272,67.0,0
+4917,48,Male,123,82,176,73,89,123,119,6.0,22.6,65,170,Typical Angina,False,0.5,True,Never,2.9,242,7.1,48.6,True,8195,80.6,0
+4918,53,Male,129,83,201,52,103,183,108,5.0,22.1,72,168,Atypical Angina,False,0.8,False,Never,3.0,134,6.7,63.0,False,3862,63.0,0
+4919,74,Female,142,106,213,58,119,226,110,5.5,27.6,82,120,Asymptomatic,True,0.8,False,Never,10.9,119,6.0,34.4,False,4050,48.9,1
+4920,76,Female,143,87,197,68,98,176,116,6.1,17.7,72,142,Asymptomatic,False,0.4,False,Never,23.6,261,7.6,42.6,False,3678,49.3,0
+4921,41,Female,115,62,186,57,92,126,123,6.2,24.8,83,171,Non-Anginal Pain,False,0.4,False,Former,13.1,86,6.7,47.3,False,5902,44.2,1
+4922,70,Female,165,95,229,65,120,182,153,7.0,35.2,102,126,Non-Anginal Pain,False,0.5,False,Never,1.5,105,5.4,62.9,False,5306,40.1,1
+4923,35,Female,131,77,190,69,81,183,106,6.1,27.9,87,199,Non-Anginal Pain,False,1.1,False,Former,7.4,176,7.8,84.0,False,6416,73.2,0
+4924,78,Male,140,91,206,64,95,212,152,6.9,26.1,70,153,Asymptomatic,False,0.6,False,Never,9.7,117,7.5,58.2,True,3822,51.6,0
+4925,48,Female,128,83,163,58,70,203,127,5.8,28.0,80,150,Asymptomatic,False,0.7,True,Current,9.3,188,8.7,27.7,False,6025,59.6,1
+4926,61,Female,148,98,222,53,134,171,150,6.5,25.3,81,144,Non-Anginal Pain,False,0.8,True,Never,11.9,0,6.5,50.3,True,7708,69.4,1
+4927,57,Female,142,96,197,58,128,144,155,7.7,34.1,76,154,Typical Angina,False,1.8,False,Former,4.8,111,7.9,47.9,False,5535,53.9,1
+4928,43,Female,113,73,186,57,98,121,126,5.9,28.7,83,189,Typical Angina,False,1.7,False,Former,4.0,98,7.2,39.7,False,5264,61.5,0
+4929,55,Male,121,82,198,43,132,149,132,6.1,31.8,95,150,Asymptomatic,True,1.6,True,Current,2.0,10,5.5,41.6,False,6189,51.2,1
+4930,59,Male,130,87,184,41,136,37,94,5.0,27.1,85,160,Atypical Angina,False,1.0,False,Former,4.1,206,6.4,68.2,False,4879,73.3,0
+4931,39,Male,116,83,154,41,85,93,135,5.7,22.7,78,194,Atypical Angina,False,0.4,True,Former,2.9,143,8.0,52.1,True,7798,74.1,0
+4932,59,Male,128,78,182,40,101,183,93,4.8,21.5,86,170,Asymptomatic,False,0.2,False,Never,7.7,309,5.8,40.5,True,8789,63.0,0
+4933,52,Female,136,80,255,79,147,125,143,6.3,25.7,96,159,Typical Angina,False,0.4,False,Current,2.1,129,7.8,45.9,True,8347,47.5,0
+4934,44,Female,124,77,190,66,89,90,108,5.7,19.2,81,191,Asymptomatic,False,0.6,False,Never,7.8,91,5.6,44.1,True,7229,68.6,0
+4935,68,Male,123,81,200,66,89,152,152,6.4,29.0,78,147,Asymptomatic,False,0.9,False,Former,3.0,67,5.9,51.9,True,3451,87.5,0
+4936,45,Female,97,55,144,70,68,69,95,4.4,15.0,71,179,Non-Anginal Pain,False,0.4,True,Never,2.2,152,6.6,56.5,True,7860,81.3,0
+4937,33,Male,122,80,168,42,89,180,71,4.9,30.1,89,187,Asymptomatic,False,0.4,False,Never,12.1,133,8.2,68.4,True,7198,46.4,0
+4938,63,Male,138,83,213,53,108,178,101,5.4,31.7,88,145,Atypical Angina,True,1.0,False,Never,6.7,40,4.9,62.2,False,5736,65.6,1
+4939,41,Male,116,63,145,56,74,46,93,5.5,20.1,73,192,Non-Anginal Pain,False,0.4,True,Never,7.4,206,8.5,50.5,True,5994,59.4,0
+4940,55,Male,134,83,199,77,93,162,102,5.5,23.6,94,162,Asymptomatic,False,1.5,False,Never,9.5,185,6.9,51.0,True,5877,59.3,0
+4941,42,Male,117,77,209,63,122,139,85,4.8,26.4,68,181,Non-Anginal Pain,False,2.0,True,Former,3.5,217,6.1,43.8,True,9897,59.0,0
+4942,71,Male,156,109,165,42,95,181,137,6.0,30.5,87,135,Asymptomatic,False,0.2,False,Never,31.3,30,6.1,45.1,False,3212,30.7,1
+4943,56,Female,147,88,172,55,88,123,157,6.9,37.8,78,164,Asymptomatic,False,1.3,True,Never,2.8,184,7.6,18.1,False,9705,58.7,0
+4944,63,Male,112,82,190,54,113,158,130,6.1,21.7,87,128,Asymptomatic,True,1.4,True,Never,9.1,103,7.0,48.3,True,9510,51.4,1
+4945,46,Male,116,72,163,57,86,132,145,6.4,32.7,93,148,Non-Anginal Pain,False,3.9,False,Never,2.3,92,7.1,64.8,True,7066,60.1,1
+4946,42,Female,141,86,211,52,107,245,78,4.9,32.8,104,177,Atypical Angina,False,0.2,False,Former,17.9,85,6.7,75.1,False,5592,56.2,0
+4947,53,Female,140,79,184,65,93,120,103,5.1,20.2,77,160,Typical Angina,False,0.0,False,Never,2.5,111,5.9,34.9,False,2630,54.2,0
+4948,62,Male,126,80,193,73,117,63,105,4.7,16.8,83,127,Atypical Angina,True,1.9,True,Never,4.6,205,5.4,23.4,False,3049,61.8,1
+4949,62,Male,138,86,206,44,129,157,136,5.8,30.9,89,137,Typical Angina,False,2.6,True,Current,3.4,93,6.4,40.3,False,6536,52.7,0
+4950,74,Female,138,73,183,76,68,141,82,4.9,19.4,87,146,Atypical Angina,True,0.1,False,Former,0.9,86,8.2,62.0,True,7902,76.6,0
+4951,58,Female,147,85,190,44,119,186,135,6.3,28.7,80,144,Non-Anginal Pain,True,1.2,False,Current,9.6,156,7.7,49.1,False,5013,64.3,1
+4952,75,Male,149,86,191,34,124,164,132,5.8,33.2,79,131,Non-Anginal Pain,True,0.9,False,Never,6.6,150,7.2,46.3,True,7273,51.1,1
+4953,40,Female,108,73,151,71,68,81,132,6.1,26.7,81,201,Asymptomatic,False,2.0,False,Current,0.3,200,7.4,56.9,True,10070,60.0,0
+4954,50,Male,115,79,180,70,92,124,96,5.1,25.6,77,181,Non-Anginal Pain,False,1.3,True,Never,5.3,179,7.4,44.2,True,6375,57.5,0
+4955,41,Male,109,67,162,39,93,186,99,5.2,26.2,74,178,Asymptomatic,False,0.6,False,Never,4.6,216,5.6,41.2,True,8900,42.8,0
+4956,56,Female,109,63,191,60,101,67,113,5.4,23.0,74,170,Non-Anginal Pain,False,1.0,False,Never,4.4,236,6.2,25.1,False,7554,64.8,0
+4957,42,Female,152,74,237,59,142,200,118,6.3,28.2,75,201,Asymptomatic,False,0.4,False,Current,8.4,135,7.2,52.1,True,6821,51.9,0
+4958,61,Male,114,73,197,49,91,209,89,4.8,22.9,76,169,Atypical Angina,True,1.2,False,Former,9.7,101,5.9,43.9,False,5213,59.2,1
+4959,54,Male,123,87,183,51,109,125,98,5.2,23.2,90,179,Non-Anginal Pain,False,0.7,False,Former,3.2,158,7.6,71.0,False,2794,64.3,0
+4960,57,Male,139,84,146,57,49,190,135,6.0,28.9,88,165,Atypical Angina,True,1.2,False,Former,11.0,188,7.8,51.1,False,6936,47.7,0
+4961,58,Male,122,76,209,48,135,133,119,5.4,19.0,78,157,Asymptomatic,False,0.6,False,Former,3.5,152,7.8,65.1,False,4594,63.3,0
+4962,50,Male,136,73,127,40,55,100,116,5.7,26.8,73,184,Non-Anginal Pain,False,0.8,False,Never,5.2,97,5.7,34.3,True,8257,78.3,0
+4963,68,Male,119,62,123,65,35,112,115,5.4,16.6,73,168,Atypical Angina,False,0.3,True,Never,4.7,238,6.6,57.1,True,6104,57.8,0
+4964,81,Female,153,98,208,68,122,124,134,5.9,22.3,69,125,Asymptomatic,False,0.4,False,Never,0.4,31,8.0,50.0,True,6960,67.5,0
+4965,61,Female,157,95,158,64,58,218,81,5.0,21.9,80,164,Asymptomatic,False,0.7,True,Former,2.2,167,7.0,42.3,True,3363,48.1,0
+4966,57,Male,132,88,180,58,109,122,127,5.9,26.6,85,173,Asymptomatic,False,0.6,False,Never,10.4,22,4.9,47.9,False,5412,70.3,0
+4967,61,Male,129,79,176,57,93,132,116,5.8,26.5,79,164,Asymptomatic,False,0.8,False,Never,14.7,190,6.8,54.3,False,6426,65.4,0
+4968,47,Female,127,79,222,55,130,209,94,5.6,23.9,75,178,Typical Angina,False,2.0,False,Never,3.8,218,7.8,42.2,True,8255,35.3,1
+4969,43,Male,125,78,151,68,42,206,121,5.6,18.5,73,163,Asymptomatic,False,1.3,False,Never,7.6,121,6.2,64.4,False,6733,42.4,0
+4970,46,Female,120,65,201,56,114,111,122,6.0,21.3,91,181,Non-Anginal Pain,False,0.0,False,Former,0.7,86,9.1,49.8,False,8843,57.6,0
+4971,60,Female,131,71,200,45,117,252,124,6.6,21.3,74,136,Atypical Angina,True,0.8,False,Current,4.3,134,6.6,37.4,True,8487,27.6,1
+4972,58,Male,131,79,161,49,67,178,137,6.5,30.3,88,156,Asymptomatic,False,0.7,False,Former,4.1,115,6.7,48.1,False,3343,48.6,0
+4973,75,Male,131,90,206,47,109,252,119,5.3,24.8,98,132,Non-Anginal Pain,False,1.5,False,Never,3.0,122,7.7,41.5,False,3623,54.8,1
+4974,36,Female,115,88,198,54,110,141,94,5.2,25.5,88,199,Asymptomatic,True,0.3,False,Never,9.1,239,6.8,87.4,False,9668,58.7,0
+4975,61,Male,127,77,252,78,132,157,101,4.9,18.4,69,172,Typical Angina,False,0.1,False,Never,5.4,283,8.3,44.8,True,8349,76.1,0
+4976,72,Male,131,83,259,82,142,166,112,5.7,25.2,88,155,Asymptomatic,True,0.7,False,Current,11.5,230,6.3,40.3,True,8890,60.5,0
+4977,39,Male,127,76,160,60,96,112,73,4.6,15.5,81,210,Asymptomatic,False,0.2,False,Former,2.0,90,6.9,47.6,False,4168,48.5,0
+4978,66,Male,138,81,209,59,129,123,129,6.6,33.8,70,172,Non-Anginal Pain,False,0.5,False,Never,15.8,152,7.1,69.5,True,7141,59.5,0
+4979,62,Male,150,91,183,36,118,189,93,5.1,29.1,97,159,Atypical Angina,True,0.7,True,Never,7.6,94,8.4,41.5,False,3935,48.0,1
+4980,55,Male,134,85,182,73,99,153,141,6.3,24.0,94,157,Typical Angina,True,0.5,True,Never,6.9,202,6.7,56.1,True,8068,53.6,1
+4981,34,Female,125,74,214,44,130,168,131,6.5,27.2,76,192,Asymptomatic,False,2.0,False,Current,4.4,120,8.7,7.4,False,5571,39.5,0
+4982,45,Male,132,103,190,54,97,180,112,6.2,25.0,67,170,Atypical Angina,False,0.9,False,Never,2.0,170,7.6,78.6,False,3834,47.0,0
+4983,65,Male,118,68,160,61,71,135,111,5.6,18.2,87,170,Non-Anginal Pain,False,0.6,False,Former,2.6,86,8.6,52.3,False,6175,30.5,0
+4984,67,Female,136,77,202,70,88,145,122,5.9,21.2,89,152,Non-Anginal Pain,False,0.6,False,Current,3.5,101,5.8,55.8,True,6282,66.8,0
+4985,53,Male,116,69,120,68,35,154,109,5.9,19.4,78,180,Asymptomatic,False,0.8,False,Former,2.0,224,5.5,67.0,False,6941,47.6,0
+4986,51,Male,107,65,215,47,149,151,117,6.5,19.8,97,169,Asymptomatic,False,0.7,False,Current,3.5,41,8.7,47.5,False,3502,43.7,0
+4987,71,Female,134,83,215,56,118,192,186,7.3,34.3,101,150,Asymptomatic,False,1.8,False,Current,0.9,54,7.9,57.2,False,733,33.1,1
+4988,57,Female,125,78,197,43,129,149,65,4.4,21.1,65,161,Typical Angina,False,1.6,True,Former,8.0,88,5.7,53.2,True,9972,62.3,1
+4989,62,Male,125,76,146,47,81,95,87,5.2,16.1,83,156,Non-Anginal Pain,True,0.6,False,Current,2.3,187,9.0,56.1,False,7133,72.4,1
+4990,64,Male,145,97,172,90,53,147,116,5.7,29.7,77,153,Asymptomatic,False,0.4,False,Former,13.0,251,7.4,23.7,True,6647,76.9,0
+4991,31,Female,127,80,197,61,102,153,105,6.0,22.7,75,182,Asymptomatic,False,1.6,False,Former,4.8,129,6.9,61.2,False,4772,85.5,0
+4992,90,Male,144,85,218,44,130,233,188,7.7,27.2,92,122,Typical Angina,False,0.5,False,Never,15.9,12,8.0,62.6,False,916,47.1,1
+4993,62,Female,148,97,176,67,90,125,147,6.7,28.1,89,160,Atypical Angina,False,0.6,True,Never,0.6,113,5.1,42.4,False,7454,64.4,0
+4994,79,Male,134,92,190,46,102,115,119,5.5,26.2,78,118,Non-Anginal Pain,True,1.1,False,Never,3.8,0,4.0,55.9,False,7839,60.0,1
+4995,45,Male,125,70,216,55,114,229,100,5.1,23.7,81,179,Non-Anginal Pain,False,0.3,False,Never,4.9,233,7.4,42.6,True,10121,44.9,0
+4996,34,Female,131,84,217,57,124,131,124,5.6,25.4,85,191,Asymptomatic,False,0.3,True,Former,2.0,102,9.7,42.5,True,6802,68.3,0
+4997,62,Male,133,61,153,54,78,177,157,6.7,23.6,77,164,Atypical Angina,False,0.2,False,Former,3.7,186,7.4,50.4,True,9803,48.7,0
+4998,34,Female,123,92,173,53,84,173,99,5.1,26.9,74,188,Asymptomatic,False,0.5,False,Never,4.7,168,5.6,28.7,True,10009,70.1,0
+4999,46,Male,136,88,188,49,103,173,93,5.0,31.9,81,187,Non-Anginal Pain,False,0.2,True,Never,8.5,70,6.6,51.4,True,6114,56.3,0
+5000,54,Female,143,95,192,72,86,207,109,5.9,20.3,75,171,Non-Anginal Pain,False,0.3,False,Never,0.5,211,7.3,62.7,False,7907,59.2,0
+5001,38,Female,111,71,180,64,95,123,117,5.6,20.9,79,175,Non-Anginal Pain,False,1.0,True,Never,0.9,207,7.9,3.8,True,5715,59.6,0
+5002,56,Male,128,75,144,43,80,170,85,4.5,28.9,69,170,Non-Anginal Pain,False,0.3,False,Never,4.9,100,7.3,24.9,False,4762,70.4,0
+5003,54,Female,124,77,305,73,177,245,137,6.4,24.1,73,173,Asymptomatic,False,0.7,False,Never,3.7,232,7.7,18.8,True,6576,77.4,0
+5004,51,Male,135,96,159,61,82,100,101,5.3,20.9,76,178,Asymptomatic,False,0.1,True,Former,6.0,159,6.0,54.8,True,9375,83.0,0
+5005,48,Male,116,70,157,55,81,96,112,5.2,24.7,65,158,Atypical Angina,False,0.4,False,Current,1.6,222,7.7,42.2,True,8518,69.4,0
+5006,72,Female,130,80,187,50,109,172,163,7.4,27.8,87,146,Asymptomatic,True,0.3,True,Never,4.7,93,5.4,34.0,True,8440,69.0,1
+5007,55,Male,135,85,210,55,129,163,131,5.9,28.4,84,170,Asymptomatic,False,0.1,True,Former,8.7,203,8.7,85.0,True,6982,53.3,0
+5008,57,Male,142,81,227,55,143,130,105,5.5,23.3,73,166,Asymptomatic,False,0.5,False,Never,12.8,187,7.4,45.9,True,7017,63.5,0
+5009,60,Female,149,89,168,55,95,120,125,5.1,26.6,89,161,Asymptomatic,False,0.2,False,Never,6.1,122,6.3,26.9,True,6188,42.3,0
+5010,45,Male,109,76,228,71,105,194,99,5.3,27.7,68,154,Asymptomatic,True,0.1,False,Current,2.5,164,7.0,68.9,True,4876,44.8,1
+5011,51,Male,125,77,125,44,66,54,104,5.4,18.9,66,184,Typical Angina,False,1.9,False,Never,2.0,192,7.9,40.6,True,6824,70.8,0
+5012,84,Male,143,90,179,44,95,175,104,5.3,25.6,67,131,Atypical Angina,True,1.1,True,Never,6.1,105,8.2,36.3,False,6416,8.1,1
+5013,46,Male,130,86,167,52,93,148,137,6.2,28.1,82,172,Asymptomatic,True,0.1,False,Current,10.5,86,7.8,74.3,False,5083,48.4,1
+5014,75,Male,124,85,199,54,118,152,97,5.1,18.4,95,132,Atypical Angina,False,4.7,True,Never,4.3,155,7.1,32.1,True,7053,68.9,1
+5015,32,Female,138,86,223,42,137,211,136,6.2,30.5,91,180,Asymptomatic,False,0.2,False,Former,18.4,54,6.2,71.3,False,5411,31.5,1
+5016,57,Male,132,82,156,63,97,35,107,5.2,21.6,79,167,Non-Anginal Pain,False,0.6,False,Never,5.4,233,6.7,53.0,False,4959,83.2,0
+5017,48,Male,131,83,177,46,99,89,115,5.1,29.9,90,179,Asymptomatic,False,1.0,True,Current,8.2,94,8.3,38.7,False,6835,48.1,0
+5018,58,Female,107,61,212,74,97,184,96,5.2,27.2,100,154,Non-Anginal Pain,False,0.7,False,Current,5.3,115,6.9,48.7,True,7862,32.8,0
+5019,63,Male,144,95,110,49,36,122,135,6.8,20.3,83,132,Asymptomatic,False,1.4,False,Never,2.3,103,6.5,35.2,False,7551,82.1,1
+5020,62,Male,121,77,124,33,60,133,116,5.7,22.8,87,157,Atypical Angina,True,0.8,False,Never,6.9,136,9.0,39.6,False,5124,61.8,0
+5021,44,Female,133,83,149,33,101,113,97,4.8,24.4,70,183,Asymptomatic,False,0.5,True,Never,4.9,178,7.8,57.7,False,2844,59.4,0
+5022,41,Female,127,62,178,76,88,110,92,5.2,23.0,89,183,Asymptomatic,False,0.9,False,Former,1.9,210,7.4,63.3,True,5582,43.8,0
+5023,61,Male,126,78,177,54,100,108,98,4.8,17.5,73,145,Non-Anginal Pain,False,1.5,True,Former,9.5,190,8.8,45.2,False,5914,75.2,0
+5024,70,Male,110,81,204,62,113,124,123,5.7,24.6,67,133,Atypical Angina,False,0.5,False,Former,4.2,265,7.0,66.1,False,7834,68.8,0
+5025,62,Male,123,70,163,57,81,166,132,6.7,27.3,88,141,Asymptomatic,False,1.0,False,Never,2.6,105,6.8,49.3,True,6191,71.5,1
+5026,73,Female,126,82,249,58,149,230,152,6.8,20.9,80,153,Typical Angina,False,1.9,False,Former,6.5,215,7.2,43.8,False,6989,57.4,1
+5027,46,Male,121,80,207,44,128,185,141,6.8,22.6,73,157,Asymptomatic,True,0.6,False,Never,5.3,111,6.8,23.6,True,6472,47.2,1
+5028,42,Male,117,74,193,49,126,67,121,5.8,18.1,83,184,Asymptomatic,False,0.1,False,Current,2.0,142,6.8,48.9,False,9237,57.5,0
+5029,49,Female,120,77,120,39,53,194,121,6.2,32.2,76,182,Atypical Angina,False,0.8,False,Never,0.3,100,7.3,50.0,False,3780,68.7,0
+5030,67,Female,141,85,211,80,99,109,147,7.1,29.0,86,179,Asymptomatic,False,1.0,False,Never,1.8,229,8.5,65.2,False,2932,81.3,0
+5031,50,Male,123,85,197,47,121,191,104,5.2,27.0,78,170,Asymptomatic,False,0.4,False,Never,6.1,244,6.9,58.7,False,7056,75.8,0
+5032,40,Male,125,80,190,52,104,189,108,5.6,39.3,92,191,Asymptomatic,False,0.7,False,Never,5.8,148,7.7,53.9,True,8297,69.7,0
+5033,65,Male,112,81,185,40,118,117,106,5.4,26.8,84,150,Asymptomatic,False,0.7,False,Never,5.5,115,6.3,46.6,True,5054,55.9,0
+5034,47,Male,135,74,165,46,74,131,144,5.8,21.7,79,176,Asymptomatic,True,0.8,False,Never,5.8,182,8.7,60.9,True,10886,78.8,0
+5035,45,Female,146,82,233,62,128,195,107,5.8,27.0,75,169,Asymptomatic,False,1.0,True,Former,7.0,250,5.4,45.1,True,6190,78.8,0
+5036,37,Male,102,62,93,44,40,55,93,4.7,17.4,81,184,Non-Anginal Pain,False,0.7,True,Never,3.4,175,7.3,34.1,False,4554,78.8,0
+5037,61,Male,116,86,141,55,41,157,126,6.2,17.9,97,150,Asymptomatic,True,0.2,True,Never,6.7,196,7.6,81.6,True,8614,96.8,1
+5038,56,Female,116,81,233,50,140,176,141,6.6,29.2,89,122,Asymptomatic,False,1.1,False,Former,7.9,51,7.1,33.1,False,4006,27.9,1
+5039,66,Male,127,84,211,67,128,148,135,5.9,22.4,79,169,Asymptomatic,False,1.4,True,Never,3.3,198,6.1,48.1,False,5922,56.0,0
+5040,49,Female,124,75,147,49,81,145,115,5.3,15.0,80,177,Asymptomatic,False,1.5,False,Never,6.9,130,7.8,28.4,False,7412,79.5,0
+5041,57,Male,139,82,201,58,101,172,177,7.0,24.1,83,158,Asymptomatic,False,0.3,False,Never,6.7,97,6.0,62.2,False,4173,57.0,0
+5042,70,Female,114,70,158,53,75,174,119,5.8,30.4,92,123,Asymptomatic,False,1.1,False,Never,3.8,45,6.8,71.0,False,3193,43.8,1
+5043,42,Female,128,74,228,55,116,190,110,5.4,30.7,87,147,Non-Anginal Pain,False,1.2,True,Never,1.4,39,6.6,51.0,True,6907,41.4,0
+5044,79,Female,131,84,156,48,96,87,142,6.1,20.2,75,131,Asymptomatic,False,0.1,True,Never,0.2,175,7.2,51.1,True,7066,75.9,0
+5045,57,Female,146,96,153,37,89,123,131,6.4,28.0,75,155,Asymptomatic,False,4.2,True,Current,3.4,59,8.2,69.1,True,5908,79.6,1
+5046,52,Male,139,103,199,52,117,119,113,5.6,26.1,78,160,Asymptomatic,False,0.6,False,Former,3.0,156,7.7,36.3,True,6097,70.8,0
+5047,61,Female,127,83,264,59,175,144,144,6.4,31.2,81,162,Atypical Angina,False,0.5,False,Current,5.8,222,7.4,22.2,True,9017,43.5,0
+5048,58,Male,122,76,169,61,84,173,109,5.8,25.5,86,156,Non-Anginal Pain,True,0.4,False,Never,5.4,128,7.3,44.0,True,5541,72.3,0
+5049,50,Male,118,66,213,63,112,180,94,4.9,30.3,70,176,Asymptomatic,False,1.3,False,Former,11.1,196,7.1,26.5,True,6639,60.9,0
+5050,56,Female,131,75,256,74,137,240,129,6.6,30.8,75,172,Non-Anginal Pain,False,0.5,False,Never,4.1,136,8.1,57.3,True,7295,63.2,0
+5051,64,Female,143,81,262,74,157,107,124,5.9,23.1,65,155,Atypical Angina,True,1.6,True,Never,4.9,103,9.2,53.8,False,1674,63.9,1
+5052,76,Male,151,97,234,22,191,158,118,5.7,25.5,84,132,Non-Anginal Pain,True,1.8,False,Current,9.2,91,6.8,62.5,True,8030,41.5,1
+5053,70,Female,161,95,202,48,118,136,127,6.4,30.9,79,136,Atypical Angina,False,2.0,True,Never,2.1,87,5.5,42.2,False,2888,58.4,1
+5054,72,Male,147,81,225,39,132,198,108,6.0,24.9,77,146,Asymptomatic,False,0.8,False,Former,5.0,158,7.9,74.0,True,6336,34.4,1
+5055,65,Female,143,86,159,51,83,132,86,5.0,24.8,85,150,Non-Anginal Pain,False,1.0,False,Never,0.7,146,4.8,29.8,True,10193,44.0,0
+5056,56,Female,142,84,181,49,113,156,133,6.7,30.3,93,135,Non-Anginal Pain,True,0.5,False,Current,6.6,127,8.0,55.7,False,3183,55.9,1
+5057,42,Female,136,85,171,74,88,90,78,4.0,25.5,96,169,Non-Anginal Pain,False,1.0,False,Former,0.4,221,7.0,52.3,True,7171,86.6,0
+5058,52,Female,92,50,199,63,112,108,125,5.5,19.0,70,172,Asymptomatic,False,1.9,True,Never,6.9,263,6.0,36.7,True,10399,84.7,0
+5059,46,Female,146,89,185,37,95,227,97,5.4,25.4,90,160,Asymptomatic,False,0.9,False,Never,7.2,35,4.4,59.6,True,7560,52.6,0
+5060,64,Male,114,72,164,65,55,181,90,5.2,23.9,79,173,Asymptomatic,False,1.0,True,Former,8.7,192,8.1,63.0,True,7485,80.3,0
+5061,24,Female,134,97,166,49,85,157,121,5.7,31.8,85,192,Asymptomatic,False,0.7,False,Never,2.5,54,6.5,44.6,False,5075,48.7,0
+5062,50,Male,152,87,128,63,53,86,110,5.0,28.4,89,158,Asymptomatic,False,0.2,False,Never,2.4,81,7.3,52.5,True,5888,89.1,0
+5063,61,Female,129,90,154,59,59,196,147,6.1,25.4,92,153,Typical Angina,False,0.3,True,Current,0.2,149,4.4,32.7,True,6144,69.5,0
+5064,59,Male,136,80,258,78,130,160,149,7.0,22.5,82,149,Non-Anginal Pain,False,1.6,False,Former,3.2,114,7.0,28.6,False,6310,36.5,0
+5065,60,Male,112,75,197,41,109,252,116,5.6,28.7,80,142,Asymptomatic,True,2.0,False,Current,17.9,198,7.4,20.6,True,8481,64.8,1
+5066,59,Male,124,76,188,55,127,114,133,5.7,26.4,76,173,Typical Angina,False,0.6,False,Current,3.1,76,7.3,60.6,False,5815,52.6,0
+5067,37,Male,116,67,163,54,67,196,107,6.1,27.0,83,191,Asymptomatic,False,1.6,False,Former,3.9,0,5.3,39.5,False,8698,25.2,0
+5068,72,Male,131,80,166,33,88,250,128,5.9,33.8,91,133,Typical Angina,True,0.7,True,Current,8.8,81,6.7,50.4,True,9066,52.4,1
+5069,66,Female,143,91,191,44,105,183,115,5.9,26.4,75,109,Non-Anginal Pain,True,6.5,False,Never,9.2,46,5.2,39.2,False,4782,70.6,1
+5070,71,Male,129,82,194,48,127,192,86,4.9,30.7,75,145,Asymptomatic,False,1.2,False,Never,15.5,80,8.8,53.1,True,8260,28.3,1
+5071,58,Male,128,79,177,50,90,160,117,5.5,27.9,89,168,Non-Anginal Pain,False,1.4,False,Never,3.7,146,6.3,73.0,True,5178,75.3,0
+5072,50,Male,113,76,184,64,103,105,119,5.7,18.9,89,178,Atypical Angina,True,0.3,False,Former,6.7,156,7.2,79.0,False,5712,85.7,0
+5073,66,Female,123,71,207,64,111,155,89,5.2,24.2,92,136,Asymptomatic,False,3.6,True,Former,3.5,106,5.6,38.0,False,7709,65.7,1
+5074,47,Male,134,86,193,42,125,121,85,4.7,19.4,75,139,Atypical Angina,True,3.8,False,Never,2.0,111,7.2,56.4,False,3037,56.8,1
+5075,41,Female,139,82,199,63,93,190,124,5.6,28.6,78,174,Non-Anginal Pain,False,0.2,False,Never,4.0,117,7.9,50.2,False,6813,71.1,0
+5076,30,Male,101,59,213,48,151,119,143,6.8,24.2,83,169,Asymptomatic,False,2.2,False,Current,4.3,203,8.9,37.4,True,9497,65.6,1
+5077,44,Male,146,88,228,46,148,165,149,6.0,30.5,97,163,Asymptomatic,False,0.2,False,Former,16.3,87,6.9,75.4,False,4301,46.3,1
+5078,52,Female,116,73,118,55,56,77,153,7.3,25.7,71,186,Asymptomatic,False,0.8,False,Current,2.5,119,7.5,65.3,True,5866,61.0,0
+5079,35,Male,118,95,139,59,71,35,129,6.3,20.9,83,184,Asymptomatic,False,0.6,True,Never,1.7,146,5.8,58.7,True,6071,64.6,0
+5080,32,Male,118,72,200,57,103,186,91,5.3,26.3,81,178,Asymptomatic,False,0.7,False,Former,3.3,106,6.6,50.7,False,2758,54.2,0
+5081,46,Female,128,101,219,56,127,163,97,5.4,33.3,90,171,Non-Anginal Pain,False,0.4,False,Never,0.1,185,6.5,18.8,True,7730,45.5,0
+5082,67,Female,146,80,183,52,99,192,121,5.5,16.9,71,155,Asymptomatic,False,0.3,False,Former,7.5,23,6.8,57.9,False,2762,55.4,0
+5083,50,Male,133,95,161,48,87,134,106,5.2,28.9,69,152,Non-Anginal Pain,False,1.0,False,Never,2.1,24,6.8,70.0,False,1053,57.1,1
+5084,58,Male,126,82,138,51,60,158,121,5.6,26.2,88,144,Asymptomatic,False,2.0,False,Never,2.4,203,6.8,54.4,True,6569,62.9,0
+5085,40,Male,153,99,163,48,86,102,110,6.0,24.7,67,174,Non-Anginal Pain,False,0.2,True,Never,7.6,70,7.2,56.5,False,5709,67.7,0
+5086,56,Male,122,78,183,67,80,122,142,6.3,20.8,68,160,Asymptomatic,True,0.2,False,Never,2.3,198,7.0,32.3,False,6683,78.6,0
+5087,61,Male,124,90,232,49,142,198,127,6.5,26.7,80,143,Typical Angina,True,2.0,True,Current,9.9,112,7.5,41.5,True,6016,74.3,1
+5088,37,Male,132,70,221,71,116,113,119,5.9,28.6,85,184,Non-Anginal Pain,False,0.4,False,Never,1.7,119,5.0,36.3,True,5090,65.2,0
+5089,47,Male,120,77,195,63,118,113,139,6.5,19.8,83,188,Asymptomatic,True,0.7,False,Current,4.3,221,6.3,59.6,False,5520,36.7,0
+5090,49,Male,129,93,227,56,121,177,138,6.7,24.8,73,169,Non-Anginal Pain,False,0.4,False,Never,6.7,134,6.6,21.4,False,7041,44.0,0
+5091,59,Male,134,89,170,49,96,150,138,6.8,27.9,84,170,Asymptomatic,False,0.3,False,Current,2.5,74,8.6,41.8,False,2772,74.4,0
+5092,46,Female,146,89,193,51,119,130,145,6.7,33.0,101,172,Atypical Angina,True,1.5,False,Never,16.8,96,5.9,64.6,False,4640,42.9,1
+5093,32,Male,90,63,127,58,69,75,80,4.4,15.0,74,188,Asymptomatic,False,0.9,False,Former,2.7,264,8.0,66.0,True,9744,78.6,0
+5094,47,Male,111,69,189,26,132,134,156,6.7,28.9,74,156,Asymptomatic,False,0.3,False,Current,8.0,121,6.6,50.3,True,5087,42.1,1
+5095,72,Female,140,94,173,58,82,180,101,5.4,31.8,87,142,Asymptomatic,False,1.1,False,Never,0.0,3,5.1,41.3,False,829,53.2,1
+5096,71,Male,139,94,195,44,107,153,92,5.4,26.3,80,156,Atypical Angina,False,0.6,False,Never,6.8,164,5.5,58.0,False,4700,51.6,0
+5097,47,Female,123,64,183,45,118,154,102,6.0,29.3,85,173,Asymptomatic,True,1.0,True,Never,1.0,51,7.6,70.9,True,6177,53.2,1
+5098,43,Male,100,70,198,26,116,190,117,5.4,23.8,77,192,Non-Anginal Pain,False,0.5,True,Never,12.2,113,6.1,36.2,True,8392,43.4,0
+5099,41,Female,116,79,138,46,68,214,166,7.0,28.9,75,180,Asymptomatic,True,0.7,False,Never,2.4,166,5.6,35.6,True,9447,75.1,0
+5100,49,Female,117,68,162,32,84,189,165,7.0,27.1,83,167,Asymptomatic,False,1.6,False,Former,4.3,12,8.2,51.2,False,2968,36.7,1
+5101,56,Male,120,75,149,22,116,72,148,7.3,23.0,96,132,Typical Angina,False,0.9,False,Current,9.6,40,6.8,71.8,True,5034,51.7,1
+5102,64,Male,117,68,159,59,66,180,120,5.7,24.0,78,152,Non-Anginal Pain,False,0.3,False,Never,3.5,205,6.7,56.5,True,6807,74.1,0
+5103,76,Female,114,61,212,66,114,159,132,6.1,26.6,81,123,Atypical Angina,False,1.6,False,Never,0.6,90,7.6,53.7,False,3341,44.0,1
+5104,52,Male,138,87,186,41,105,180,128,5.9,28.0,81,155,Non-Anginal Pain,False,0.9,True,Never,18.1,171,7.4,49.7,False,3734,75.1,1
+5105,77,Male,138,97,205,55,125,110,123,5.9,24.8,90,144,Asymptomatic,True,0.8,False,Never,6.7,68,5.1,70.1,True,4786,58.6,1
+5106,68,Female,128,88,164,45,106,85,152,6.8,25.7,94,143,Asymptomatic,True,1.4,False,Former,3.3,94,8.4,48.7,True,7314,45.9,1
+5107,51,Male,141,79,110,32,52,89,116,5.5,26.7,73,158,Typical Angina,False,1.1,False,Former,1.8,123,7.7,53.6,False,3996,71.1,0
+5108,36,Female,123,89,163,59,81,152,128,6.0,25.4,87,183,Non-Anginal Pain,False,0.3,False,Never,0.7,156,7.9,77.9,False,4024,59.0,0
+5109,53,Male,142,90,152,65,61,126,110,5.8,27.9,95,171,Asymptomatic,False,0.7,False,Former,8.3,135,7.5,44.0,False,7761,60.5,0
+5110,75,Female,146,85,152,65,56,139,161,6.7,21.5,63,144,Asymptomatic,False,0.8,False,Never,8.2,229,9.4,46.0,True,9047,65.7,0
+5111,52,Male,142,74,140,46,65,150,60,4.4,24.8,87,146,Atypical Angina,True,3.0,False,Never,4.6,47,7.1,65.3,False,4164,58.5,1
+5112,77,Male,137,82,182,58,112,72,107,6.0,22.5,88,111,Asymptomatic,True,0.6,False,Former,2.2,100,7.5,53.0,True,4559,37.4,1
+5113,40,Male,133,84,152,45,63,224,101,5.0,24.1,72,159,Asymptomatic,False,2.5,True,Never,25.2,167,5.7,48.0,False,5193,50.8,0
+5114,78,Male,136,98,212,49,123,151,135,6.0,21.8,62,121,Asymptomatic,True,1.4,False,Never,5.0,0,9.0,29.7,False,4302,64.7,1
+5115,48,Male,104,72,186,51,92,207,104,5.4,29.7,89,163,Asymptomatic,False,1.5,False,Former,7.1,90,7.9,49.3,True,7760,76.5,0
+5116,42,Male,123,81,132,56,56,109,124,5.6,15.5,85,169,Asymptomatic,False,0.4,True,Former,3.7,114,8.2,34.1,False,5439,60.3,0
+5117,48,Male,107,85,130,40,80,35,110,5.8,17.9,91,181,Asymptomatic,False,0.8,False,Never,3.6,149,8.3,45.7,True,8608,46.9,0
+5118,47,Female,138,87,229,65,136,125,100,6.1,17.8,73,169,Non-Anginal Pain,False,0.3,False,Never,5.0,116,8.5,58.2,False,3920,65.4,0
+5119,34,Male,128,77,168,63,72,124,118,5.6,30.7,81,164,Atypical Angina,False,3.0,True,Current,19.1,132,6.0,43.9,False,5591,79.0,1
+5120,43,Male,111,69,174,41,106,190,105,5.7,31.3,93,186,Asymptomatic,False,0.3,False,Never,12.3,115,9.1,44.9,False,4293,81.4,0
+5121,24,Female,120,74,151,60,77,140,98,5.0,20.4,80,199,Asymptomatic,True,1.7,False,Current,2.4,280,5.1,45.9,True,10314,84.9,0
+5122,70,Female,130,84,177,65,75,182,114,5.9,23.3,66,166,Asymptomatic,True,0.7,True,Never,3.8,206,6.2,29.7,True,6938,50.3,0
+5123,62,Male,128,85,237,67,108,203,104,4.9,21.2,91,147,Asymptomatic,False,2.4,False,Never,4.3,209,7.7,44.9,True,5743,65.9,1
+5124,47,Male,141,85,242,47,152,243,129,6.4,32.1,101,154,Asymptomatic,False,1.7,True,Never,3.3,54,8.7,45.1,True,4089,53.3,1
+5125,44,Female,102,75,227,54,133,182,147,6.8,26.0,64,188,Typical Angina,False,1.2,True,Never,12.2,107,7.4,20.8,False,6449,48.6,0
+5126,72,Female,138,86,225,56,135,103,151,7.0,19.2,64,151,Asymptomatic,False,0.7,False,Never,5.0,159,5.8,45.6,False,7385,55.3,0
+5127,41,Male,94,57,161,56,75,177,131,5.8,21.1,76,187,Asymptomatic,False,0.5,False,Never,2.6,151,7.8,59.3,False,7550,50.9,0
+5128,66,Male,135,79,136,43,52,181,130,6.1,29.6,87,165,Asymptomatic,False,1.6,True,Never,2.5,130,9.4,60.4,True,5354,65.1,0
+5129,71,Male,133,86,178,46,113,128,141,6.5,26.2,95,127,Asymptomatic,True,2.6,False,Current,6.1,83,5.3,28.9,True,7037,76.2,1
+5130,64,Male,141,95,218,67,116,177,131,5.9,23.6,92,127,Typical Angina,True,6.5,False,Never,2.0,155,6.3,47.6,False,4123,74.8,1
+5131,54,Female,124,72,192,72,88,161,94,4.7,17.5,83,167,Atypical Angina,False,2.4,False,Former,7.8,133,7.6,63.7,True,3981,65.4,0
+5132,63,Female,147,95,168,56,84,132,134,6.1,29.7,77,155,Asymptomatic,False,0.7,False,Former,3.1,133,7.5,73.7,True,6246,65.2,0
+5133,53,Female,127,84,180,49,86,190,169,6.9,26.8,78,175,Asymptomatic,False,0.3,False,Former,0.2,137,7.3,42.2,True,3578,27.9,0
+5134,69,Male,146,86,177,69,90,71,144,6.4,24.7,82,175,Asymptomatic,False,0.6,True,Never,5.3,102,5.8,72.4,True,7366,75.0,0
+5135,46,Female,133,70,190,59,109,102,137,6.7,25.1,86,139,Typical Angina,True,1.2,False,Current,1.2,65,7.4,79.3,False,5855,46.2,1
+5136,79,Male,147,101,139,50,58,132,139,6.4,23.5,96,136,Non-Anginal Pain,False,0.8,False,Former,8.1,26,6.4,60.0,False,4003,67.0,0
+5137,65,Male,119,73,210,40,121,223,125,5.1,32.7,81,164,Non-Anginal Pain,False,1.1,False,Current,2.6,107,8.3,75.5,True,7008,58.3,0
+5138,53,Male,122,78,167,33,81,263,135,6.3,29.1,101,158,Typical Angina,False,4.9,True,Former,10.5,66,8.6,45.8,True,8476,43.4,1
+5139,70,Male,142,85,239,63,148,120,134,5.7,22.8,99,140,Asymptomatic,False,0.1,False,Former,5.9,106,6.5,49.1,True,8185,62.7,1
+5140,68,Female,143,104,176,63,92,142,92,5.2,37.6,87,176,Non-Anginal Pain,True,0.1,False,Never,5.5,133,5.5,61.1,False,7245,41.6,0
+5141,50,Male,138,81,150,37,92,85,156,7.1,17.6,78,159,Typical Angina,False,2.1,False,Never,2.5,107,6.6,29.8,False,7108,72.9,1
+5142,40,Male,126,83,150,34,81,175,121,6.2,32.2,77,177,Typical Angina,False,0.0,True,Never,3.8,167,8.3,40.0,True,8397,100.0,0
+5143,38,Male,116,74,203,73,113,145,103,4.8,28.5,73,182,Asymptomatic,True,2.2,False,Never,4.8,222,6.8,53.9,True,7974,64.1,1
+5144,45,Female,96,60,171,70,84,93,103,5.6,15.9,77,183,Atypical Angina,False,0.1,False,Never,0.3,227,7.5,43.5,True,7540,82.8,0
+5145,51,Male,136,85,219,57,128,162,104,5.9,23.3,77,175,Non-Anginal Pain,False,1.0,False,Never,14.9,186,7.4,57.8,False,5040,55.2,0
+5146,52,Female,111,64,193,71,78,245,100,5.5,20.3,79,149,Asymptomatic,False,1.7,False,Never,6.6,144,8.2,53.5,False,4823,62.6,0
+5147,85,Male,161,83,227,66,128,157,125,5.7,28.2,84,134,Asymptomatic,True,0.4,False,Never,5.7,86,8.5,32.6,False,4099,84.3,0
+5148,54,Male,140,83,168,57,79,125,147,6.7,26.9,88,148,Asymptomatic,False,0.7,False,Former,3.5,110,8.6,22.7,False,7423,42.6,0
+5149,56,Female,126,67,173,57,87,151,151,6.6,25.8,89,139,Non-Anginal Pain,False,1.6,True,Current,10.7,53,6.3,48.8,True,7362,60.0,1
+5150,47,Female,146,88,215,61,107,237,128,6.0,31.8,81,179,Asymptomatic,False,0.4,False,Former,1.0,101,6.6,56.6,False,4675,57.9,0
+5151,73,Male,143,91,156,58,80,85,102,5.1,17.2,80,150,Non-Anginal Pain,True,3.1,True,Former,2.0,174,6.5,55.8,False,6091,76.7,1
+5152,36,Male,107,55,146,41,94,122,76,4.4,23.5,83,198,Non-Anginal Pain,False,0.4,False,Former,2.5,83,5.6,59.3,False,2821,78.1,0
+5153,58,Female,119,84,201,66,105,164,116,5.3,22.7,87,154,Asymptomatic,False,1.5,True,Former,6.0,33,7.5,83.2,False,1857,59.0,0
+5154,54,Male,132,71,159,64,80,191,174,7.7,30.6,72,164,Asymptomatic,False,2.4,False,Never,2.6,98,6.0,60.0,False,5498,62.1,0
+5155,53,Male,127,78,117,32,56,145,139,6.0,27.1,90,166,Asymptomatic,False,3.3,True,Never,2.0,9,7.2,35.7,False,3506,61.7,0
+5156,55,Male,128,86,210,55,116,204,130,6.4,23.6,71,168,Typical Angina,False,0.3,False,Never,12.8,199,6.5,44.3,False,4572,74.1,0
+5157,48,Male,108,65,170,58,79,137,152,6.9,19.9,70,153,Asymptomatic,False,0.7,False,Never,4.0,238,8.1,34.1,True,9542,51.7,0
+5158,41,Male,116,74,154,27,82,132,117,6.0,33.4,85,197,Asymptomatic,False,0.7,False,Former,1.7,105,7.4,64.9,False,9180,73.3,0
+5159,68,Male,148,110,177,40,111,137,88,5.1,28.9,83,139,Atypical Angina,False,0.1,False,Never,3.6,76,6.9,27.2,False,3818,62.9,0
+5160,72,Male,128,75,228,46,135,139,123,5.6,25.5,84,117,Atypical Angina,True,1.3,False,Former,3.9,15,5.8,31.4,False,3384,55.5,1
+5161,63,Male,146,99,161,56,84,102,70,4.8,21.6,84,167,Atypical Angina,False,0.5,False,Never,3.8,79,6.0,81.7,True,6547,48.5,0
+5162,71,Female,142,89,167,71,68,139,148,6.4,23.2,97,152,Asymptomatic,False,0.2,False,Never,2.9,96,7.5,73.8,False,4436,87.7,0
+5163,57,Female,124,73,201,63,105,138,100,5.4,21.5,63,180,Typical Angina,False,2.9,True,Never,3.1,231,7.1,19.8,True,8584,71.6,0
+5164,26,Male,103,66,190,40,113,166,146,6.5,29.9,78,210,Asymptomatic,False,0.0,False,Never,5.3,214,6.7,50.7,True,7564,76.0,0
+5165,42,Male,128,71,161,56,95,129,140,6.4,28.3,82,173,Atypical Angina,False,2.1,False,Former,1.7,203,7.6,46.3,False,7158,51.4,0
+5166,61,Male,129,82,249,50,155,198,106,5.3,29.5,82,187,Non-Anginal Pain,False,0.9,False,Never,18.3,173,6.1,81.4,False,4798,53.1,0
+5167,25,Male,116,72,188,44,116,177,154,6.9,29.5,89,198,Atypical Angina,False,0.8,False,Current,15.8,87,8.9,46.2,False,4163,49.1,0
+5168,57,Male,142,83,181,55,93,164,127,6.5,20.5,76,182,Non-Anginal Pain,True,1.6,False,Current,4.8,263,7.3,46.0,True,9856,61.3,0
+5169,59,Male,147,92,175,66,78,189,156,7.0,20.0,91,149,Non-Anginal Pain,False,0.6,True,Current,1.7,76,6.6,49.8,False,4082,39.6,1
+5170,59,Male,139,93,155,35,109,158,125,6.3,29.6,87,140,Asymptomatic,False,2.1,False,Former,4.3,32,5.7,45.4,False,2229,63.9,1
+5171,41,Male,133,87,208,53,125,203,135,5.6,35.0,87,180,Asymptomatic,False,0.2,False,Never,5.0,107,6.6,75.8,True,5567,48.9,0
+5172,50,Female,126,89,200,34,122,160,104,5.5,25.8,75,154,Asymptomatic,False,2.2,False,Never,7.6,77,5.3,57.4,False,6418,61.6,1
+5173,50,Male,100,57,129,54,60,96,116,5.6,18.2,76,188,Asymptomatic,False,1.3,False,Current,8.4,236,6.6,34.2,False,4697,80.1,0
+5174,58,Female,130,74,200,31,142,136,145,6.6,25.8,77,146,Atypical Angina,False,0.7,False,Former,0.9,61,6.3,37.2,True,5626,77.3,1
+5175,51,Male,133,75,176,43,110,213,100,5.2,33.8,88,172,Asymptomatic,True,0.8,False,Never,5.5,114,5.3,44.2,False,9475,51.6,1
+5176,32,Female,117,76,180,59,88,136,75,4.2,23.5,83,188,Non-Anginal Pain,False,1.2,True,Never,1.0,64,7.2,48.5,False,4775,78.3,0
+5177,85,Male,139,84,170,59,79,153,154,6.9,27.9,88,133,Asymptomatic,False,0.5,False,Never,2.0,40,8.0,68.5,True,2615,68.6,1
+5178,59,Male,129,88,241,62,139,197,99,5.8,23.8,79,161,Atypical Angina,True,0.2,True,Former,14.8,113,8.8,32.9,False,5917,63.9,0
+5179,52,Male,137,76,194,71,88,152,134,6.4,30.1,73,185,Atypical Angina,True,1.1,False,Never,5.2,132,7.9,29.5,False,6715,56.6,1
+5180,48,Female,102,50,188,69,88,117,92,5.0,15.0,66,163,Asymptomatic,False,0.1,False,Never,0.3,38,5.2,42.7,False,1942,66.1,0
+5181,65,Male,106,64,214,77,93,155,123,6.2,18.8,72,172,Asymptomatic,True,0.6,False,Never,11.5,167,6.9,42.9,True,3769,75.0,0
+5182,58,Male,117,96,184,53,105,133,118,6.0,22.1,76,168,Asymptomatic,False,0.5,False,Never,3.4,130,9.7,42.7,False,3466,68.1,1
+5183,60,Female,134,82,261,83,136,167,86,5.3,21.7,89,134,Non-Anginal Pain,True,0.2,False,Former,18.2,132,6.0,51.3,False,5533,51.0,0
+5184,35,Male,105,66,206,67,103,184,144,6.5,24.1,85,148,Atypical Angina,True,0.9,False,Never,3.9,104,7.8,71.4,True,7096,100.0,1
+5185,28,Female,125,78,183,64,93,169,104,5.3,31.0,86,185,Non-Anginal Pain,False,0.7,True,Former,2.4,171,8.0,58.0,False,8040,56.1,0
+5186,72,Female,138,94,170,46,99,195,185,7.7,22.5,71,134,Asymptomatic,False,0.3,False,Never,4.4,164,5.7,62.7,False,7549,58.9,1
+5187,58,Male,115,65,162,57,77,178,74,4.1,21.8,78,166,Typical Angina,False,2.0,False,Never,11.4,84,6.7,27.9,True,6800,74.7,0
+5188,58,Female,145,85,173,48,89,191,88,5.5,27.1,79,177,Non-Anginal Pain,False,1.3,False,Former,18.6,86,8.4,63.2,False,5698,71.8,0
+5189,70,Female,146,91,191,68,93,201,108,5.7,15.1,82,145,Typical Angina,False,0.8,False,Never,9.8,130,7.8,57.3,True,8016,56.0,0
+5190,50,Female,141,83,221,66,121,161,68,4.5,23.3,70,180,Asymptomatic,False,0.5,False,Never,5.4,214,7.8,45.7,True,5220,53.0,0
+5191,61,Female,134,87,201,68,114,136,136,6.3,28.9,76,171,Non-Anginal Pain,False,0.2,False,Never,17.6,130,6.6,39.1,True,6905,55.0,0
+5192,32,Male,133,85,162,42,94,112,142,6.5,22.4,82,175,Non-Anginal Pain,True,3.7,False,Current,5.9,79,7.2,73.2,False,3499,58.1,1
+5193,54,Female,125,76,158,58,90,87,122,5.7,18.8,93,159,Atypical Angina,False,0.2,False,Never,9.0,70,7.5,21.8,True,6949,67.6,0
+5194,54,Female,122,80,210,62,109,177,139,6.4,27.9,80,154,Asymptomatic,False,2.7,False,Never,2.1,170,8.5,58.5,False,6028,52.4,0
+5195,68,Male,130,86,190,69,80,143,131,6.5,30.0,94,141,Non-Anginal Pain,True,1.7,False,Former,5.6,124,7.7,39.4,True,9594,51.3,1
+5196,49,Male,119,84,216,50,148,132,120,6.0,15.0,87,149,Typical Angina,True,0.3,False,Current,4.7,199,4.7,56.6,True,6944,78.9,1
+5197,82,Female,146,83,199,61,118,169,117,5.7,29.4,85,134,Asymptomatic,False,0.3,True,Never,5.8,140,6.2,38.7,True,7594,67.4,1
+5198,22,Male,100,63,177,63,91,49,128,6.0,26.6,100,177,Asymptomatic,False,0.1,False,Never,2.9,128,7.2,60.6,True,7105,67.4,0
+5199,69,Female,144,97,199,44,122,147,104,5.3,26.7,77,121,Typical Angina,True,2.3,True,Never,0.0,50,6.7,69.8,True,7382,47.8,1
+5200,32,Female,105,84,243,65,148,154,92,5.3,28.7,81,171,Non-Anginal Pain,True,0.6,False,Former,1.9,127,6.6,48.2,False,1756,76.2,0
+5201,68,Male,170,99,225,47,152,137,139,6.4,24.3,82,138,Asymptomatic,True,0.9,False,Never,9.9,52,7.9,66.0,False,2768,49.1,1
+5202,65,Male,135,87,166,51,95,108,88,4.0,20.8,76,170,Non-Anginal Pain,False,0.0,False,Never,2.8,75,6.7,52.6,True,5182,42.4,0
+5203,46,Female,129,77,197,54,118,192,89,5.5,27.9,86,168,Atypical Angina,False,0.5,False,Never,1.2,94,8.3,22.2,False,4408,73.3,0
+5204,50,Male,116,75,175,65,87,189,162,6.8,26.2,91,163,Asymptomatic,False,0.5,False,Never,6.4,123,8.5,35.0,True,5082,66.8,0
+5205,51,Female,114,65,128,69,40,136,137,6.8,21.4,85,146,Atypical Angina,False,1.6,False,Never,0.1,100,6.3,30.7,False,5300,72.8,0
+5206,65,Female,124,82,242,85,121,193,97,5.0,15.0,81,153,Typical Angina,False,0.3,False,Former,30.3,179,7.3,54.1,True,9490,64.9,0
+5207,48,Female,128,86,182,53,105,149,94,5.3,23.9,68,173,Non-Anginal Pain,False,0.4,True,Never,1.7,170,7.1,59.7,True,6137,54.0,0
+5208,59,Female,121,76,220,63,128,130,138,6.4,22.9,101,162,Atypical Angina,False,0.5,False,Never,1.6,116,7.3,58.4,True,8068,55.3,0
+5209,56,Male,123,85,202,70,91,170,118,5.4,29.4,81,180,Non-Anginal Pain,False,0.3,False,Former,2.5,168,8.2,24.6,False,5445,38.7,0
+5210,63,Male,137,91,232,40,146,208,119,5.7,26.8,84,130,Atypical Angina,False,0.2,False,Former,11.4,62,5.8,55.3,False,3158,69.3,1
+5211,57,Female,122,86,148,47,64,121,99,5.5,31.8,83,162,Atypical Angina,False,1.0,False,Never,2.9,93,4.7,48.6,False,4169,50.3,0
+5212,61,Female,132,88,227,88,108,150,102,5.5,22.3,74,157,Asymptomatic,False,1.1,False,Never,9.4,186,6.9,27.5,True,5153,49.5,0
+5213,65,Female,134,89,207,72,106,160,106,5.1,23.8,77,166,Asymptomatic,False,0.3,False,Never,17.4,127,6.4,52.5,False,2158,38.7,0
+5214,64,Female,122,66,169,35,100,210,99,5.2,26.3,62,153,Asymptomatic,False,0.4,False,Never,7.8,179,6.6,34.5,True,8994,63.4,0
+5215,64,Male,140,85,210,43,150,132,87,4.7,28.5,75,113,Asymptomatic,False,2.5,False,Former,7.6,16,5.2,47.4,False,2239,51.8,1
+5216,53,Female,114,67,206,95,100,35,111,5.5,21.4,91,169,Asymptomatic,False,0.5,True,Never,2.1,107,8.7,56.7,False,2126,64.0,0
+5217,54,Female,140,96,143,53,74,98,111,5.9,25.8,76,184,Asymptomatic,False,0.5,False,Never,2.3,151,4.7,6.1,True,7398,67.8,0
+5218,45,Male,129,69,165,55,113,91,127,5.9,24.0,70,142,Typical Angina,True,0.7,True,Former,10.4,131,6.6,32.2,True,5414,63.8,1
+5219,63,Male,144,84,156,27,106,105,130,6.9,34.8,95,165,Asymptomatic,False,0.3,False,Current,3.7,104,6.5,33.0,False,3559,67.0,1
+5220,43,Male,116,72,150,35,78,193,117,6.1,24.5,78,179,Atypical Angina,False,0.2,False,Current,8.1,132,6.5,88.0,False,5814,33.5,0
+5221,52,Male,133,92,209,53,141,96,116,5.6,23.3,86,164,Asymptomatic,True,0.3,False,Former,4.6,127,5.6,54.4,False,4764,44.0,1
+5222,54,Male,140,95,130,45,70,94,97,5.3,18.9,86,147,Asymptomatic,False,0.4,False,Never,2.5,0,4.9,51.1,False,3094,80.2,0
+5223,62,Female,110,82,225,54,110,244,156,6.4,34.4,85,146,Asymptomatic,False,1.2,True,Never,1.4,75,6.9,67.1,False,3516,70.7,1
+5224,61,Female,132,108,216,65,119,102,128,6.1,29.7,75,182,Asymptomatic,False,0.3,False,Never,0.1,155,7.7,46.9,False,4730,62.0,0
+5225,64,Female,96,61,213,67,118,128,158,6.6,20.9,73,175,Asymptomatic,False,0.3,False,Never,21.8,284,6.1,12.9,True,9788,67.5,0
+5226,58,Female,143,87,221,65,118,182,88,4.8,27.4,64,145,Typical Angina,True,0.8,True,Never,6.9,136,8.4,51.1,True,4446,95.3,1
+5227,38,Male,108,67,156,45,78,186,105,5.4,27.8,82,178,Asymptomatic,False,1.1,False,Never,7.0,60,7.3,52.4,False,3643,54.5,0
+5228,49,Male,115,76,127,36,79,81,99,5.2,23.5,82,170,Non-Anginal Pain,False,0.3,False,Never,7.1,107,8.2,58.0,False,5443,63.0,0
+5229,57,Female,120,74,185,81,87,89,81,4.8,23.3,76,159,Asymptomatic,False,0.4,False,Never,3.8,146,8.4,35.6,True,6159,68.7,0
+5230,60,Male,119,77,165,44,85,196,162,6.8,23.8,100,155,Atypical Angina,False,3.2,False,Former,2.0,127,7.4,40.5,False,7560,78.6,1
+5231,45,Male,121,72,224,66,114,142,129,6.2,18.5,80,183,Non-Anginal Pain,False,6.5,False,Former,1.7,43,9.3,26.6,True,5951,83.3,1
+5232,47,Male,120,66,218,50,149,119,118,6.0,24.0,82,167,Asymptomatic,True,2.6,True,Former,3.2,115,6.3,32.4,False,4585,38.9,1
+5233,54,Male,123,77,211,62,104,192,139,6.2,27.1,83,174,Typical Angina,False,3.0,False,Never,9.3,141,6.1,36.8,False,3848,53.5,1
+5234,40,Male,128,76,186,66,90,142,121,6.0,26.0,77,184,Typical Angina,False,6.5,True,Never,8.5,162,7.8,67.4,True,6761,82.8,1
+5235,53,Male,131,95,224,40,144,167,86,5.0,33.7,93,162,Non-Anginal Pain,False,3.9,False,Never,6.0,84,6.4,69.6,False,2079,87.2,1
+5236,69,Male,124,78,170,34,100,156,127,6.0,28.9,78,143,Asymptomatic,False,0.4,False,Never,15.6,118,6.2,53.3,True,8685,64.7,1
+5237,39,Male,118,75,185,51,105,160,150,6.3,21.8,87,185,Non-Anginal Pain,False,0.6,False,Former,1.7,182,5.6,29.0,False,6493,65.0,0
+5238,38,Male,96,74,196,50,108,159,72,4.5,15.0,80,178,Asymptomatic,False,0.3,False,Never,11.3,73,8.8,39.1,True,5130,64.7,0
+5239,68,Female,145,77,136,53,71,36,151,6.8,26.6,77,141,Asymptomatic,False,0.3,True,Never,3.8,156,6.3,57.2,False,7639,71.7,0
+5240,53,Female,139,88,185,47,116,115,134,6.2,26.2,81,165,Asymptomatic,True,1.6,False,Former,0.4,176,6.0,56.9,True,7954,38.3,0
+5241,75,Female,135,83,274,51,175,249,133,6.0,32.8,77,171,Asymptomatic,False,0.0,True,Former,5.5,25,7.5,69.0,False,3278,37.7,0
+5242,38,Female,122,79,227,59,157,118,80,5.0,20.1,65,194,Atypical Angina,False,0.2,False,Current,1.4,244,7.9,57.1,True,7369,35.0,0
+5243,68,Male,132,73,172,43,122,80,126,6.2,29.4,79,137,Asymptomatic,True,0.4,False,Former,1.6,92,6.4,62.9,True,4500,59.4,1
+5244,59,Female,129,89,181,63,90,112,145,6.6,25.2,91,194,Non-Anginal Pain,False,1.2,True,Former,0.9,73,5.7,51.5,False,4995,71.7,0
+5245,40,Male,117,76,150,68,59,121,88,4.3,23.0,76,195,Asymptomatic,False,1.3,False,Never,3.4,238,7.6,42.2,False,8193,75.3,0
+5246,60,Male,110,68,141,51,74,60,99,5.4,16.7,64,150,Asymptomatic,False,0.3,True,Never,4.6,160,8.2,47.0,True,4883,100.0,0
+5247,83,Male,117,75,160,68,71,83,99,5.5,24.6,87,126,Asymptomatic,False,0.5,False,Former,1.6,136,8.8,30.2,True,6841,92.4,0
+5248,66,Male,124,75,195,46,127,113,160,7.6,26.8,77,141,Atypical Angina,False,2.2,False,Former,10.6,93,6.2,59.2,False,6857,49.6,1
+5249,58,Male,134,77,263,35,160,287,126,6.4,33.8,91,140,Asymptomatic,False,2.1,False,Former,4.7,118,7.9,51.6,True,6542,40.0,1
+5250,51,Female,119,85,188,72,92,111,74,4.4,17.4,77,160,Non-Anginal Pain,False,1.2,True,Never,0.3,210,6.6,40.8,True,8025,42.9,0
+5251,38,Female,131,91,189,40,105,183,109,5.8,27.1,87,183,Atypical Angina,False,1.0,True,Current,13.4,110,6.0,54.5,False,3092,35.1,1
+5252,38,Female,118,86,257,58,148,247,131,6.0,28.4,86,161,Non-Anginal Pain,True,2.3,True,Current,15.7,74,6.8,62.0,False,7075,53.9,1
+5253,50,Female,150,99,121,44,49,148,106,5.3,28.2,81,175,Asymptomatic,False,1.5,False,Never,3.6,116,8.0,58.0,False,500,77.9,0
+5254,67,Female,151,105,233,63,142,140,149,6.7,26.3,83,137,Asymptomatic,True,0.5,False,Never,5.4,89,8.0,81.1,False,1290,52.9,1
+5255,53,Female,111,94,164,50,99,89,145,6.5,21.9,72,173,Asymptomatic,False,0.3,False,Never,3.2,70,7.8,32.8,False,3882,54.4,0
+5256,76,Female,160,106,228,38,143,215,107,5.7,30.7,94,111,Asymptomatic,True,0.8,False,Former,10.3,61,6.0,81.6,False,7343,38.4,1
+5257,43,Female,120,69,194,64,107,115,134,6.8,27.4,99,185,Asymptomatic,False,0.5,False,Never,0.8,131,7.2,50.7,False,6497,61.5,0
+5258,41,Female,119,53,154,58,64,186,104,5.8,22.1,90,176,Asymptomatic,False,1.3,True,Current,6.1,119,7.0,71.0,False,5537,70.4,0
+5259,56,Male,131,76,160,66,84,59,94,4.6,23.8,85,189,Asymptomatic,False,1.1,False,Former,5.0,190,3.8,57.6,False,7878,67.3,0
+5260,54,Female,115,68,206,68,99,209,111,5.5,21.8,79,186,Asymptomatic,False,0.7,True,Never,7.6,178,7.7,22.8,False,10409,55.1,0
+5261,75,Male,138,89,184,57,88,227,162,6.9,24.2,88,148,Atypical Angina,False,0.9,True,Never,7.1,151,7.8,62.0,False,5194,73.3,0
+5262,64,Male,136,93,202,50,136,118,119,5.5,25.1,78,140,Non-Anginal Pain,True,0.8,False,Never,3.3,151,7.7,33.6,False,7556,52.6,1
+5263,56,Male,130,90,183,45,95,163,116,5.3,30.7,83,180,Non-Anginal Pain,False,2.4,False,Never,14.1,141,7.7,46.2,True,8891,63.1,0
+5264,45,Female,123,83,194,41,118,157,99,5.2,21.8,84,177,Asymptomatic,False,0.3,False,Former,8.1,97,6.4,23.1,False,5861,54.7,1
+5265,64,Female,128,91,233,66,140,115,125,5.7,26.0,66,149,Asymptomatic,False,0.2,False,Never,0.1,133,5.4,46.9,False,6430,79.5,0
+5266,86,Male,144,68,206,67,108,100,141,6.1,33.7,78,122,Atypical Angina,False,0.1,True,Never,3.6,141,6.8,50.4,True,7456,77.0,1
+5267,57,Male,131,81,183,54,101,160,172,6.6,30.6,71,154,Atypical Angina,False,0.3,False,Current,4.0,162,6.5,40.7,True,6367,55.8,1
+5268,39,Female,101,63,246,69,138,139,134,6.0,22.0,77,184,Atypical Angina,True,0.1,False,Never,1.4,158,7.6,48.3,True,5737,70.6,0
+5269,35,Male,132,73,200,39,116,142,102,5.6,24.0,76,199,Asymptomatic,True,0.2,False,Former,2.0,102,9.2,65.3,False,5171,61.7,0
+5270,51,Male,130,78,197,47,105,222,100,5.5,21.4,93,158,Non-Anginal Pain,False,0.3,False,Current,10.3,71,7.8,29.9,True,9124,30.9,1
+5271,58,Male,122,74,267,48,149,292,118,5.9,26.6,86,187,Non-Anginal Pain,False,0.1,False,Never,18.4,172,8.5,37.1,True,6358,65.7,0
+5272,46,Male,134,87,163,52,82,136,123,6.2,20.3,61,185,Asymptomatic,False,0.5,False,Former,7.8,160,6.6,55.9,True,5839,56.4,0
+5273,50,Male,121,91,181,59,82,214,134,6.9,22.5,71,168,Typical Angina,False,0.7,False,Never,7.3,138,5.2,40.0,False,9427,36.8,0
+5274,49,Female,119,63,150,61,65,139,87,5.0,15.6,70,167,Non-Anginal Pain,False,0.2,False,Former,2.4,213,7.2,33.3,False,4444,73.7,0
+5275,72,Female,145,93,189,67,117,120,131,5.6,20.7,85,158,Atypical Angina,False,0.3,True,Never,3.2,151,7.1,58.1,True,9017,67.0,0
+5276,39,Male,107,69,202,67,101,114,79,5.0,16.6,70,177,Asymptomatic,False,1.0,False,Never,3.0,189,7.1,24.6,True,7041,58.5,0
+5277,49,Female,111,82,204,73,82,206,112,5.5,28.6,87,149,Typical Angina,True,0.2,False,Former,4.0,174,4.5,26.3,False,6666,73.9,0
+5278,69,Female,108,77,214,56,126,170,138,6.5,23.1,67,165,Atypical Angina,False,5.0,False,Never,1.2,55,6.9,40.8,False,500,70.1,1
+5279,75,Male,125,78,230,41,138,182,122,5.8,24.6,84,144,Non-Anginal Pain,False,1.3,False,Never,5.6,177,7.1,52.6,True,8266,50.4,0
+5280,48,Male,151,91,167,42,95,134,88,4.7,31.9,79,170,Non-Anginal Pain,False,1.2,True,Never,2.3,131,6.7,38.0,False,8497,52.8,0
+5281,53,Male,116,70,237,75,133,136,104,5.4,25.5,75,165,Asymptomatic,False,0.5,True,Former,12.3,148,6.6,63.2,True,7547,62.1,0
+5282,80,Male,136,98,215,23,136,254,152,7.2,34.9,83,104,Typical Angina,False,0.9,False,Never,2.9,31,5.5,60.1,False,1657,66.2,1
+5283,72,Male,140,97,180,46,103,151,125,6.1,27.7,77,141,Asymptomatic,True,0.0,False,Former,11.9,115,5.4,76.3,False,6678,32.3,1
+5284,45,Female,117,88,202,67,87,213,144,6.5,24.0,72,187,Asymptomatic,False,2.8,True,Never,5.4,316,8.0,40.9,True,8212,76.1,0
+5285,43,Female,117,77,209,60,93,222,102,5.8,25.6,84,187,Typical Angina,False,0.4,False,Never,1.8,163,7.4,34.4,True,7882,35.5,0
+5286,57,Male,139,78,188,45,122,71,87,4.9,23.4,75,171,Asymptomatic,False,0.4,False,Never,3.7,55,6.3,76.4,False,6954,90.8,0
+5287,44,Female,143,86,181,68,95,118,153,6.9,28.1,83,162,Typical Angina,False,0.6,False,Current,8.2,196,8.0,63.0,False,7221,74.3,1
+5288,50,Female,127,94,212,78,101,213,89,4.8,19.5,80,171,Non-Anginal Pain,False,0.3,False,Former,3.1,141,3.9,33.9,False,5506,73.4,0
+5289,60,Female,150,101,161,71,58,144,83,4.7,26.9,76,162,Typical Angina,True,0.1,True,Former,11.3,99,6.7,65.8,False,3189,59.7,0
+5290,35,Male,130,86,206,45,120,165,107,5.5,15.0,79,176,Asymptomatic,True,0.3,False,Never,22.1,179,6.2,70.6,True,7825,64.9,1
+5291,59,Female,128,83,157,45,88,122,127,5.9,27.5,92,168,Typical Angina,False,1.5,False,Former,11.9,117,8.5,17.5,False,6057,70.8,0
+5292,62,Male,136,80,157,54,70,128,132,6.5,38.1,89,179,Non-Anginal Pain,False,1.4,False,Never,7.1,147,7.4,53.0,False,5836,52.5,0
+5293,53,Male,128,80,172,46,91,170,131,6.4,27.4,74,166,Asymptomatic,False,0.2,True,Never,1.8,163,10.1,45.7,True,6966,61.3,0
+5294,66,Male,132,87,132,34,95,42,67,4.0,21.3,89,181,Non-Anginal Pain,True,0.6,False,Never,7.3,200,7.7,42.1,False,3876,48.0,0
+5295,48,Female,124,76,209,65,118,127,141,6.3,27.9,94,175,Asymptomatic,False,0.2,True,Never,7.4,51,5.9,57.5,False,5539,46.3,1
+5296,52,Male,139,90,128,51,50,118,156,6.7,26.2,80,172,Asymptomatic,True,1.2,True,Never,9.2,168,5.8,59.9,False,7173,90.9,0
+5297,33,Female,118,86,136,58,70,51,171,7.5,16.7,86,203,Asymptomatic,False,0.7,False,Never,9.5,171,8.7,39.4,False,7674,64.4,0
+5298,18,Female,105,70,172,55,104,147,92,4.6,34.5,71,210,Typical Angina,False,0.1,True,Never,1.6,263,6.8,26.0,True,6625,59.2,0
+5299,41,Female,137,85,214,73,111,163,113,5.9,25.9,54,188,Typical Angina,False,0.5,False,Never,11.2,196,6.6,38.4,False,7083,84.6,0
+5300,54,Female,134,80,157,44,76,193,148,6.4,25.8,88,151,Asymptomatic,False,1.8,False,Never,1.8,133,4.7,49.8,True,7091,68.5,0
+5301,55,Female,119,75,174,67,60,261,136,6.2,27.7,61,161,Non-Anginal Pain,False,0.1,True,Former,3.5,160,7.2,82.4,False,2202,68.3,0
+5302,51,Female,119,79,123,59,50,85,119,5.2,28.8,64,175,Typical Angina,False,0.7,False,Former,8.8,82,7.4,44.4,False,2982,78.6,0
+5303,51,Male,114,82,202,28,138,200,134,5.9,27.2,90,175,Non-Anginal Pain,False,1.2,True,Never,1.7,71,5.5,51.4,False,853,63.9,0
+5304,54,Female,147,96,143,57,57,126,131,5.2,29.7,95,186,Atypical Angina,False,1.1,False,Never,5.2,114,6.8,53.5,False,5960,59.3,0
+5305,56,Female,123,90,171,70,83,123,129,6.2,22.6,77,158,Non-Anginal Pain,False,0.6,False,Never,7.3,99,4.9,34.4,False,5433,68.8,0
+5306,45,Female,122,80,147,67,67,80,96,5.3,21.2,68,183,Atypical Angina,False,0.8,False,Never,4.2,138,7.5,24.5,True,7900,64.8,0
+5307,35,Male,114,81,183,59,109,35,114,5.9,18.2,80,190,Non-Anginal Pain,False,0.4,True,Never,10.6,152,7.6,53.6,False,5498,53.8,0
+5308,63,Male,119,75,215,67,95,192,129,6.6,26.5,74,177,Non-Anginal Pain,True,0.5,False,Never,2.5,214,8.8,20.8,True,8651,79.3,0
+5309,38,Male,104,80,151,43,88,163,132,5.5,25.8,79,180,Asymptomatic,False,0.6,True,Former,5.6,185,7.7,16.6,True,9526,76.5,0
+5310,74,Male,130,83,187,49,120,138,103,5.5,32.2,79,145,Asymptomatic,False,0.5,False,Never,2.9,99,7.9,53.1,True,3583,63.3,0
+5311,41,Female,120,85,176,75,84,131,110,5.7,25.0,73,184,Atypical Angina,False,0.3,False,Never,6.6,177,7.7,13.2,False,7150,69.7,0
+5312,50,Male,146,91,150,64,60,137,122,5.5,30.3,68,168,Non-Anginal Pain,False,0.0,False,Never,3.6,152,7.6,40.8,True,4944,79.8,0
+5313,67,Male,137,88,183,45,128,61,133,6.3,32.2,88,179,Non-Anginal Pain,True,2.3,False,Former,4.8,28,7.1,49.2,False,5764,59.7,0
+5314,49,Male,105,62,221,71,125,155,81,4.9,26.4,68,180,Asymptomatic,False,0.1,False,Never,11.9,147,4.7,7.2,True,9060,74.6,0
+5315,39,Male,125,72,165,36,108,103,76,4.6,19.5,63,208,Asymptomatic,False,0.3,True,Former,2.7,140,5.2,35.8,False,5134,70.7,0
+5316,52,Male,128,81,177,49,88,181,122,5.9,24.7,83,156,Typical Angina,False,0.3,True,Never,1.8,143,8.5,55.8,True,6312,84.2,1
+5317,66,Male,148,94,190,61,88,203,67,4.3,20.5,78,151,Asymptomatic,True,1.0,True,Former,15.9,191,6.7,61.8,True,8299,48.4,1
+5318,54,Female,122,69,220,60,143,130,100,6.1,24.4,77,193,Non-Anginal Pain,False,1.0,False,Former,15.4,201,6.4,40.7,True,7874,50.1,0
+5319,52,Male,115,77,146,58,92,38,114,5.8,22.9,86,178,Typical Angina,False,1.1,True,Former,2.6,81,5.7,46.6,False,4161,64.4,0
+5320,53,Female,123,87,172,56,88,153,123,5.4,31.6,87,163,Asymptomatic,False,0.1,False,Current,11.9,230,6.8,23.8,True,9122,79.8,0
+5321,71,Male,143,97,217,37,140,211,103,5.4,27.9,84,132,Non-Anginal Pain,False,0.1,False,Current,6.0,145,4.8,72.4,False,2544,46.2,1
+5322,38,Male,113,61,114,18,58,219,147,6.0,29.7,74,165,Non-Anginal Pain,False,0.2,True,Former,3.6,176,6.7,43.3,True,7631,43.0,0
+5323,58,Female,122,69,142,38,76,160,101,6.2,25.1,80,182,Atypical Angina,False,1.3,True,Never,3.0,163,7.2,41.9,True,7682,51.9,0
+5324,85,Male,137,87,191,61,120,70,81,4.8,25.3,70,132,Asymptomatic,False,0.8,False,Never,2.7,200,6.7,32.2,True,7135,76.2,0
+5325,55,Male,104,70,185,48,115,89,101,5.3,23.4,82,170,Asymptomatic,False,1.8,False,Former,3.7,198,7.1,20.6,False,4290,74.2,0
+5326,65,Male,139,94,131,44,62,174,87,5.5,20.9,79,123,Atypical Angina,False,0.6,False,Current,5.0,60,7.0,79.1,True,5091,57.8,1
+5327,46,Male,126,70,182,45,106,153,117,5.3,25.7,59,174,Asymptomatic,False,0.6,False,Never,14.4,93,5.9,18.3,False,6384,51.5,0
+5328,48,Male,123,77,185,61,111,136,86,4.9,24.2,81,160,Atypical Angina,True,0.3,False,Never,11.2,214,6.7,57.5,True,9382,58.3,0
+5329,56,Female,134,83,141,46,64,167,121,5.9,26.6,76,157,Asymptomatic,False,0.3,False,Never,2.2,88,8.6,66.7,False,4976,42.3,0
+5330,54,Female,134,68,248,73,143,160,122,5.4,23.9,67,167,Asymptomatic,False,0.7,False,Never,15.4,80,8.1,32.8,False,5370,35.0,0
+5331,42,Male,119,79,181,63,64,227,87,4.6,21.5,80,185,Asymptomatic,False,0.9,False,Current,2.0,156,6.6,32.1,False,6163,67.1,0
+5332,65,Female,119,83,215,50,143,117,124,5.4,22.9,67,162,Non-Anginal Pain,False,0.6,False,Current,3.6,179,7.1,20.2,False,4317,41.7,0
+5333,49,Female,144,92,174,49,88,166,141,6.4,25.6,82,184,Non-Anginal Pain,False,0.6,False,Never,5.3,192,10.4,53.1,False,6426,39.4,0
+5334,64,Male,119,74,172,53,107,56,126,5.8,29.4,86,155,Typical Angina,False,0.3,False,Never,4.9,251,7.7,39.3,True,4791,57.5,0
+5335,54,Male,122,75,114,31,62,103,99,5.1,23.6,72,171,Typical Angina,False,1.0,False,Former,5.9,160,8.4,78.8,True,7984,45.0,0
+5336,73,Male,139,81,171,53,86,107,88,4.5,22.1,88,172,Asymptomatic,True,0.2,False,Former,3.9,98,6.8,34.4,False,3330,63.3,0
+5337,53,Female,135,90,162,45,88,170,159,7.2,30.0,78,165,Typical Angina,False,0.4,False,Former,9.1,37,6.8,46.5,False,3021,35.4,0
+5338,44,Male,121,68,193,50,104,181,96,5.1,23.4,76,194,Asymptomatic,True,0.4,False,Current,10.0,205,7.0,42.0,True,8002,29.1,0
+5339,69,Female,128,76,110,56,39,119,71,4.3,23.4,68,163,Asymptomatic,False,0.8,False,Former,1.6,187,6.8,35.7,True,7277,82.0,0
+5340,37,Male,114,55,147,34,96,106,72,4.6,27.1,88,190,Asymptomatic,False,1.8,False,Never,4.9,127,8.1,45.3,False,5943,67.8,0
+5341,50,Female,131,87,196,65,72,278,100,5.1,32.1,89,165,Asymptomatic,False,0.9,False,Former,9.6,11,6.8,47.8,False,764,40.1,0
+5342,51,Male,127,91,228,49,121,253,168,7.0,37.8,71,141,Asymptomatic,False,0.4,False,Former,2.2,84,6.9,57.1,False,2538,73.2,0
+5343,68,Male,138,97,214,66,134,81,82,4.8,15.0,71,141,Asymptomatic,True,0.6,False,Former,2.0,152,5.3,54.0,True,6866,68.5,1
+5344,61,Male,139,90,180,36,112,123,109,5.5,15.0,80,187,Non-Anginal Pain,False,1.1,False,Former,8.9,169,6.5,27.2,False,6550,82.4,0
+5345,57,Male,132,96,223,67,122,181,91,5.0,23.1,82,162,Non-Anginal Pain,True,0.9,True,Never,4.2,163,6.6,43.1,False,1517,32.1,1
+5346,76,Male,137,90,156,21,95,231,143,6.8,26.2,74,120,Typical Angina,True,0.9,False,Never,8.7,163,7.1,16.7,False,3637,49.4,1
+5347,56,Female,139,95,146,71,56,184,117,5.9,23.8,83,158,Non-Anginal Pain,False,1.5,True,Current,3.2,55,5.2,45.3,False,6051,62.9,0
+5348,37,Male,107,62,158,40,85,134,100,5.4,26.2,86,189,Non-Anginal Pain,False,0.2,True,Never,20.1,103,5.8,53.6,True,10845,52.0,0
+5349,40,Male,134,94,193,50,123,186,117,5.1,29.7,83,195,Typical Angina,False,1.1,False,Never,3.5,109,6.6,42.9,False,4613,50.8,0
+5350,36,Female,130,79,218,91,97,120,109,5.4,24.6,68,162,Asymptomatic,False,1.2,False,Former,14.2,165,6.3,42.6,False,7818,55.8,0
+5351,54,Male,131,74,202,57,141,72,175,7.1,25.1,83,161,Typical Angina,False,3.6,False,Never,2.5,177,7.4,48.0,False,4128,70.1,1
+5352,53,Female,136,98,113,50,56,78,94,5.2,22.0,73,166,Non-Anginal Pain,False,0.4,True,Never,2.8,104,7.8,61.1,True,5711,72.6,0
+5353,59,Male,128,82,176,57,78,192,116,6.1,29.7,88,140,Atypical Angina,True,1.4,True,Current,9.9,167,6.4,35.5,True,5658,56.7,1
+5354,57,Male,139,85,206,52,122,130,98,4.6,24.9,80,146,Atypical Angina,True,1.3,False,Never,9.9,210,6.4,42.2,True,5300,79.2,1
+5355,57,Female,124,74,192,79,82,114,113,5.2,21.3,79,178,Asymptomatic,False,1.1,False,Never,1.0,182,7.1,21.6,False,3892,49.1,0
+5356,76,Male,146,100,215,57,111,285,109,5.3,30.1,93,121,Typical Angina,False,0.7,True,Former,8.5,156,5.6,58.3,False,2151,35.8,1
+5357,58,Male,116,64,108,19,59,156,162,6.6,24.2,83,142,Non-Anginal Pain,True,2.4,False,Former,3.6,0,5.7,50.6,False,3859,41.4,1
+5358,43,Male,112,58,164,45,82,134,113,5.4,20.5,75,201,Asymptomatic,False,0.1,False,Current,5.9,123,4.9,44.3,False,7327,95.0,0
+5359,48,Male,118,80,154,46,81,151,157,7.3,22.9,77,165,Atypical Angina,False,2.5,True,Former,6.9,28,6.7,56.7,True,8158,45.2,1
+5360,48,Female,128,85,229,56,138,170,113,5.8,33.3,95,176,Asymptomatic,False,0.1,False,Current,0.1,171,7.5,46.9,True,4815,32.3,0
+5361,53,Female,130,73,207,43,128,114,100,4.9,24.0,69,172,Asymptomatic,False,0.6,False,Current,2.0,187,5.9,52.6,True,8281,38.0,0
+5362,35,Male,130,83,214,58,94,281,134,6.2,27.9,84,201,Typical Angina,False,0.5,True,Current,8.8,239,7.8,20.9,True,11610,60.1,0
+5363,68,Male,141,85,194,59,113,166,146,6.4,30.7,92,120,Typical Angina,True,3.5,False,Former,5.5,73,5.5,39.7,False,6052,66.8,1
+5364,38,Male,121,73,170,42,122,106,119,5.8,18.8,83,195,Non-Anginal Pain,False,0.9,False,Current,2.9,166,7.3,52.6,True,10654,60.1,0
+5365,61,Male,140,99,211,64,115,125,96,5.1,21.6,93,140,Atypical Angina,False,0.3,False,Former,9.7,113,8.1,70.5,True,8525,34.2,1
+5366,65,Male,122,79,188,42,105,247,117,5.5,19.5,76,151,Asymptomatic,True,1.0,False,Never,3.2,114,7.2,24.6,False,4959,41.9,0
+5367,63,Female,132,79,156,58,66,204,110,5.6,27.7,83,155,Atypical Angina,False,1.8,False,Never,3.5,102,7.7,47.1,True,5957,59.2,0
+5368,57,Female,123,79,221,35,148,213,70,4.5,28.7,103,137,Asymptomatic,False,1.2,True,Current,1.0,113,5.4,57.3,True,6510,43.4,0
+5369,55,Male,124,83,206,45,110,234,117,5.2,30.9,84,163,Typical Angina,False,3.0,False,Current,6.3,47,7.6,23.8,False,1549,42.6,1
+5370,75,Male,122,72,181,50,88,194,124,6.5,24.8,77,139,Atypical Angina,False,0.8,False,Never,20.9,148,7.7,50.7,False,3724,77.9,0
+5371,64,Male,127,93,197,43,103,198,146,6.9,27.9,93,138,Non-Anginal Pain,True,1.5,False,Never,2.1,152,7.8,60.7,True,7948,51.0,1
+5372,37,Male,123,97,141,64,61,164,138,6.2,26.7,79,190,Atypical Angina,False,0.8,True,Current,3.2,240,6.4,35.0,True,5366,73.6,0
+5373,62,Male,115,74,158,55,65,180,137,6.6,24.8,77,135,Non-Anginal Pain,False,0.4,False,Never,1.9,159,5.8,46.5,True,8051,53.7,0
+5374,40,Female,98,66,148,77,57,35,77,4.5,22.9,76,183,Non-Anginal Pain,False,0.7,False,Never,0.5,116,7.5,75.8,False,5202,81.6,0
+5375,65,Male,121,77,194,33,146,134,142,6.9,26.8,75,138,Asymptomatic,True,1.5,True,Former,2.8,97,7.5,89.4,True,6711,52.8,1
+5376,65,Female,136,84,192,66,88,144,129,5.6,28.6,76,175,Atypical Angina,True,0.2,False,Current,1.4,148,6.1,66.8,False,6146,66.9,0
+5377,88,Male,144,94,186,35,101,200,156,7.2,31.7,90,134,Asymptomatic,False,0.9,False,Former,9.8,90,8.9,40.3,True,4693,67.9,1
+5378,57,Female,124,58,199,51,122,172,139,6.8,37.2,78,148,Non-Anginal Pain,False,2.0,False,Never,3.2,51,5.9,80.4,False,5596,42.0,1
+5379,52,Female,104,50,143,49,54,239,81,4.7,23.0,78,172,Atypical Angina,False,0.6,False,Former,3.3,180,7.6,69.1,False,4405,37.0,0
+5380,51,Female,132,80,234,61,122,219,117,5.8,27.8,72,160,Asymptomatic,False,0.3,True,Former,0.1,109,6.6,45.4,False,6726,55.6,0
+5381,63,Female,132,85,94,32,44,179,125,6.5,29.4,76,119,Non-Anginal Pain,False,0.7,False,Never,5.6,147,6.1,40.5,True,5232,24.7,0
+5382,61,Male,124,73,144,42,87,87,96,4.9,15.8,85,180,Asymptomatic,True,2.0,False,Current,3.0,99,5.9,63.7,False,10548,60.3,0
+5383,61,Female,128,79,175,53,104,146,124,5.5,22.8,77,181,Typical Angina,False,0.8,True,Former,10.6,137,7.1,73.5,True,6117,53.4,0
+5384,71,Male,168,108,166,82,57,107,116,6.0,22.3,84,139,Asymptomatic,False,1.1,False,Never,20.3,157,5.2,78.7,False,7815,95.2,0
+5385,62,Female,128,83,202,56,114,184,95,5.3,25.7,83,170,Typical Angina,False,2.6,False,Current,13.0,253,5.5,67.3,True,10245,59.6,0
+5386,36,Female,125,80,242,52,148,204,129,6.4,35.1,85,176,Non-Anginal Pain,False,0.2,False,Current,0.4,109,6.5,44.7,False,7404,44.0,0
+5387,49,Female,130,80,160,61,77,130,112,5.7,24.3,83,180,Asymptomatic,False,0.9,False,Never,0.9,109,7.7,32.2,False,2974,64.6,0
+5388,56,Female,130,77,175,69,83,127,88,5.3,27.3,61,172,Asymptomatic,False,1.5,False,Never,8.3,228,8.0,43.7,False,7893,56.3,0
+5389,61,Female,130,92,210,49,130,139,148,6.7,28.6,85,142,Atypical Angina,True,1.1,False,Never,1.0,141,7.1,59.2,True,4126,60.8,1
+5390,40,Male,106,53,217,56,138,56,60,4.1,15.0,71,181,Atypical Angina,False,1.1,False,Former,6.9,190,6.4,37.3,True,5862,90.4,0
+5391,69,Female,129,86,162,54,86,139,69,4.3,21.1,86,144,Asymptomatic,False,0.7,False,Never,1.4,140,5.0,33.4,True,8792,66.0,0
+5392,50,Male,128,78,196,60,85,202,123,5.1,24.0,88,149,Non-Anginal Pain,False,2.0,False,Never,12.0,225,6.8,39.0,True,7094,54.3,0
+5393,67,Male,135,91,174,54,90,157,201,8.3,29.2,78,156,Typical Angina,False,3.4,False,Never,4.6,4,5.4,100.0,False,2287,59.4,1
+5394,66,Female,123,88,218,49,135,123,126,5.4,28.6,85,152,Atypical Angina,False,0.4,True,Never,0.6,108,6.1,38.8,False,2797,57.2,0
+5395,46,Female,139,83,198,39,113,207,143,6.4,24.7,84,173,Atypical Angina,False,2.6,True,Former,4.1,191,7.1,45.1,True,6442,78.5,1
+5396,64,Male,132,84,171,48,85,263,118,6.4,24.8,96,129,Asymptomatic,True,3.1,False,Current,18.2,118,9.0,63.7,True,5460,48.3,1
+5397,70,Male,135,83,175,35,102,195,127,6.1,29.6,76,135,Typical Angina,True,0.3,True,Current,4.4,94,6.1,61.6,False,5048,33.6,1
+5398,57,Female,132,85,185,42,97,213,172,7.9,37.5,94,139,Asymptomatic,False,1.6,False,Current,5.8,49,5.7,73.8,True,4725,57.0,1
+5399,63,Female,124,80,199,48,117,177,130,5.6,26.2,86,167,Non-Anginal Pain,False,0.6,True,Former,2.1,144,8.4,41.0,False,5884,61.9,0
+5400,40,Female,130,91,158,54,71,139,110,5.6,28.6,81,178,Non-Anginal Pain,False,0.2,True,Never,1.2,188,7.2,58.7,True,12057,92.4,0
+5401,40,Male,130,74,265,72,142,175,113,5.9,26.4,87,210,Non-Anginal Pain,False,1.7,False,Never,7.0,167,6.7,42.8,True,5822,40.8,0
+5402,60,Male,150,94,176,49,85,128,138,5.9,30.0,91,132,Asymptomatic,False,0.1,False,Never,2.2,0,5.3,71.6,False,6841,41.6,0
+5403,31,Male,127,89,90,37,45,119,95,5.7,25.2,102,188,Non-Anginal Pain,False,0.3,False,Current,2.3,10,4.7,44.9,False,6116,49.2,0
+5404,47,Male,135,95,202,42,122,181,131,6.3,28.8,83,136,Asymptomatic,False,1.4,False,Current,2.9,61,7.4,48.2,False,2260,48.8,1
+5405,54,Female,134,88,166,62,90,71,114,5.6,27.6,92,184,Atypical Angina,False,0.1,False,Never,1.7,104,7.9,71.3,False,5331,70.7,0
+5406,64,Female,135,89,146,43,92,80,130,5.7,24.7,89,128,Atypical Angina,False,2.9,True,Former,3.5,130,9.8,56.9,True,7872,72.7,1
+5407,73,Female,119,71,216,75,108,143,145,6.4,25.8,75,156,Asymptomatic,True,0.9,False,Never,8.7,262,6.1,49.3,False,9815,56.9,0
+5408,68,Female,148,97,202,65,113,140,122,6.1,26.6,108,114,Typical Angina,True,1.6,False,Former,19.8,66,7.2,50.5,False,3215,59.2,1
+5409,38,Male,105,74,206,68,93,229,75,4.9,30.1,79,176,Asymptomatic,False,1.8,True,Former,1.6,271,6.6,34.5,True,10084,49.1,0
+5410,51,Male,138,88,167,42,100,101,146,6.3,27.5,84,151,Asymptomatic,False,1.2,False,Never,2.4,144,6.0,57.8,False,4091,74.0,1
+5411,60,Female,139,97,194,58,102,220,84,4.2,26.2,100,142,Asymptomatic,False,0.4,True,Never,3.1,145,6.0,41.8,False,4415,71.8,1
+5412,50,Female,108,51,185,48,100,146,136,5.8,29.5,74,172,Asymptomatic,False,0.3,False,Former,4.8,148,8.0,66.7,False,4108,59.0,0
+5413,60,Male,113,68,204,64,109,129,86,4.5,25.3,85,164,Atypical Angina,False,0.5,True,Never,3.1,214,6.6,55.2,True,3640,81.7,0
+5414,42,Male,109,70,257,62,152,188,153,6.3,30.7,88,162,Asymptomatic,True,0.5,True,Never,2.5,124,5.8,54.5,False,4370,87.5,1
+5415,42,Female,113,77,190,67,80,182,134,6.3,25.2,70,181,Asymptomatic,False,0.0,False,Never,0.5,126,7.8,46.9,True,6732,62.7,0
+5416,90,Female,164,120,221,58,136,129,136,6.3,21.6,80,148,Atypical Angina,False,1.1,False,Never,3.4,102,8.4,67.8,True,5195,63.2,0
+5417,49,Female,111,77,206,64,109,149,124,6.0,22.5,88,186,Asymptomatic,False,2.2,False,Former,0.0,127,7.0,42.0,False,6671,66.0,0
+5418,54,Male,123,80,199,63,116,151,126,6.5,25.6,72,168,Asymptomatic,False,0.6,False,Former,1.9,72,8.8,36.0,False,3830,47.3,0
+5419,69,Male,153,82,179,37,93,175,141,6.3,31.8,89,119,Atypical Angina,True,0.9,False,Former,6.2,51,5.9,61.9,True,6660,47.6,1
+5420,55,Male,134,85,168,56,91,162,126,5.8,29.1,76,150,Typical Angina,False,0.1,True,Former,6.6,207,6.0,64.9,False,6248,53.8,1
+5421,73,Male,136,81,188,36,105,200,115,5.4,20.9,91,134,Asymptomatic,False,0.6,True,Former,1.6,113,7.9,28.2,False,7533,61.7,0
+5422,88,Male,175,100,211,41,112,302,145,7.2,33.0,83,105,Asymptomatic,True,1.6,False,Former,15.1,33,4.2,53.7,False,4840,78.5,1
+5423,59,Male,135,89,199,60,112,117,135,6.0,23.5,76,155,Atypical Angina,False,1.5,False,Former,9.3,103,7.7,57.5,False,8489,69.6,1
+5424,90,Male,141,83,210,54,116,228,126,6.2,23.4,94,128,Atypical Angina,True,1.6,False,Current,6.4,128,6.9,52.2,True,7481,48.5,1
+5425,50,Male,133,73,199,48,118,206,130,6.3,24.7,84,162,Asymptomatic,True,2.2,False,Never,9.3,138,6.7,60.6,False,9132,39.3,0
+5426,24,Female,133,96,139,66,65,43,92,4.8,21.2,74,210,Atypical Angina,False,0.4,True,Never,2.1,152,7.2,65.9,False,4694,81.7,0
+5427,60,Female,128,95,207,68,100,207,131,6.5,25.8,84,169,Asymptomatic,False,1.5,False,Former,15.2,117,6.1,54.5,True,3821,68.4,0
+5428,63,Male,118,80,187,53,92,177,96,5.2,19.3,83,164,Non-Anginal Pain,False,0.3,False,Former,9.8,143,5.7,46.8,True,7688,71.4,0
+5429,39,Female,127,87,171,64,81,116,148,7.1,26.2,79,184,Atypical Angina,False,0.8,False,Never,0.7,72,5.9,47.8,False,7298,57.4,0
+5430,38,Female,116,64,163,51,88,124,85,4.6,27.4,79,181,Non-Anginal Pain,False,0.4,True,Current,0.9,162,6.4,57.3,True,9134,39.6,0
+5431,44,Female,143,96,242,68,134,213,147,6.8,26.5,82,179,Asymptomatic,False,1.0,False,Former,16.2,0,8.1,58.7,False,3030,37.6,0
+5432,33,Male,103,73,185,65,113,72,109,5.8,19.2,71,187,Atypical Angina,False,2.6,False,Current,3.0,225,5.5,42.2,True,10072,56.5,0
+5433,55,Male,119,76,185,63,109,143,135,6.3,24.6,85,185,Asymptomatic,False,0.9,False,Former,30.2,125,7.6,42.4,False,9372,50.0,0
+5434,46,Male,134,80,213,45,115,207,102,5.9,29.6,90,179,Asymptomatic,False,1.7,False,Never,5.5,134,6.6,50.3,False,6148,49.2,0
+5435,77,Female,153,97,185,57,91,212,106,6.1,28.5,80,135,Asymptomatic,False,0.5,True,Current,8.3,71,7.7,58.4,False,6346,39.3,0
+5436,69,Male,112,74,198,76,95,146,138,6.6,24.0,73,143,Asymptomatic,False,3.5,False,Never,2.1,194,7.5,69.6,False,3783,62.4,0
+5437,52,Female,120,79,213,56,127,185,132,6.7,28.6,82,144,Atypical Angina,True,2.4,False,Never,2.0,162,4.8,46.8,False,6759,34.1,1
+5438,52,Male,119,81,179,66,51,217,102,5.1,28.0,92,173,Typical Angina,True,0.6,False,Never,19.2,153,7.7,15.9,True,4519,49.0,0
+5439,73,Male,132,80,214,59,117,167,141,5.9,28.2,71,165,Asymptomatic,True,0.5,False,Former,12.8,180,6.8,53.3,True,6914,82.7,0
+5440,65,Male,122,78,179,73,89,109,120,5.2,21.8,86,147,Non-Anginal Pain,True,2.7,True,Never,4.8,183,7.9,45.6,True,7898,94.1,1
+5441,36,Male,144,75,207,30,124,210,135,6.1,26.0,87,165,Atypical Angina,False,0.9,False,Never,17.3,97,6.7,56.7,True,8601,55.8,0
+5442,57,Female,134,94,167,60,89,51,160,7.2,28.5,77,156,Asymptomatic,False,0.6,True,Never,7.4,95,7.2,19.7,False,2398,80.5,1
+5443,61,Female,133,92,172,58,65,188,145,6.9,22.8,82,160,Atypical Angina,False,0.4,False,Former,13.3,95,5.5,20.8,True,10836,63.5,0
+5444,58,Female,141,85,169,49,87,159,123,6.4,26.6,86,169,Atypical Angina,False,1.3,False,Current,3.8,110,5.6,44.3,False,3410,62.1,0
+5445,67,Male,158,104,220,50,129,204,79,4.2,25.6,88,144,Atypical Angina,True,4.9,False,Never,6.5,124,6.9,60.4,False,3891,46.6,1
+5446,49,Male,106,73,211,56,134,113,118,6.1,19.5,74,164,Asymptomatic,False,0.3,False,Current,2.0,128,7.7,65.8,False,10717,42.8,0
+5447,32,Female,131,86,137,54,42,190,157,6.7,31.0,81,192,Non-Anginal Pain,False,2.3,False,Never,8.4,130,6.0,59.8,False,5398,75.8,0
+5448,69,Male,136,69,215,62,119,179,129,6.3,29.2,82,157,Asymptomatic,True,0.1,False,Former,8.8,147,6.3,56.7,False,6816,87.8,1
+5449,41,Female,121,81,198,56,101,256,97,4.8,20.1,91,186,Asymptomatic,False,1.7,False,Never,10.4,133,6.9,49.5,False,2592,47.3,0
+5450,49,Female,134,102,143,60,58,129,127,6.0,27.0,78,150,Asymptomatic,False,1.5,False,Never,0.3,101,8.2,69.8,False,1054,59.9,1
+5451,58,Female,111,76,201,64,107,156,124,6.2,29.5,78,165,Asymptomatic,False,0.4,False,Never,8.6,178,7.6,38.4,False,7180,49.1,0
+5452,37,Male,120,70,197,57,122,35,136,6.1,23.3,84,197,Asymptomatic,True,0.8,False,Never,4.8,147,6.3,38.0,False,3890,89.0,0
+5453,53,Male,144,92,162,39,97,136,97,4.8,27.9,84,166,Asymptomatic,True,0.5,False,Former,3.8,113,7.5,61.2,False,5535,32.4,0
+5454,41,Male,130,86,196,48,105,196,116,6.1,30.2,91,192,Asymptomatic,False,1.2,False,Never,3.3,52,4.9,32.7,False,6733,71.8,0
+5455,46,Female,135,83,213,71,129,66,100,5.0,18.4,65,177,Atypical Angina,False,0.4,False,Never,2.1,206,5.9,29.4,True,8917,54.8,0
+5456,41,Male,116,72,196,63,119,90,115,5.8,18.0,80,188,Atypical Angina,True,0.5,False,Never,4.5,144,7.9,23.8,False,3756,67.6,0
+5457,39,Male,120,75,183,61,99,91,80,4.8,20.2,86,175,Atypical Angina,False,1.0,True,Never,11.9,129,6.8,42.2,False,6563,62.1,0
+5458,65,Male,103,76,246,63,137,171,118,5.4,21.9,62,151,Asymptomatic,False,0.2,False,Never,12.8,161,7.6,59.4,True,8413,65.4,0
+5459,63,Female,123,73,217,56,125,189,152,6.9,25.2,73,167,Atypical Angina,False,0.9,False,Current,13.9,190,7.4,66.3,False,5872,47.9,0
+5460,56,Male,140,91,163,35,100,156,135,6.8,32.0,74,145,Non-Anginal Pain,False,0.9,False,Never,2.6,81,8.4,32.6,False,3580,39.2,1
+5461,47,Male,132,87,209,64,105,128,122,5.8,18.6,94,187,Typical Angina,False,0.2,False,Never,7.0,179,6.9,83.1,False,4387,67.2,0
+5462,38,Male,106,72,167,54,107,51,121,6.4,28.9,80,166,Non-Anginal Pain,True,0.7,True,Never,2.9,162,7.6,21.5,True,7521,78.8,1
+5463,21,Male,110,60,200,57,111,175,124,6.1,26.1,76,196,Atypical Angina,True,5.0,False,Former,6.6,202,6.1,53.3,True,11811,59.5,1
+5464,46,Female,124,70,170,57,93,110,126,5.9,20.4,85,197,Atypical Angina,False,0.1,False,Never,6.2,39,8.0,49.7,False,3887,42.8,0
+5465,50,Female,128,88,199,77,101,182,118,6.6,28.1,81,159,Non-Anginal Pain,True,1.1,True,Never,7.2,63,7.2,57.3,False,4709,68.6,1
+5466,58,Male,123,77,193,47,112,224,115,5.5,28.9,73,167,Atypical Angina,False,2.4,False,Never,8.6,166,5.2,37.8,False,2674,25.0,0
+5467,66,Female,153,101,157,61,81,138,133,5.8,30.4,87,163,Asymptomatic,False,0.1,True,Never,15.0,163,6.9,56.7,False,4366,68.6,0
+5468,53,Male,148,100,172,53,89,101,156,6.6,30.7,71,178,Typical Angina,False,1.3,False,Never,1.8,215,8.4,40.1,False,6409,87.1,0
+5469,55,Male,109,73,226,53,138,171,143,6.3,17.2,79,133,Typical Angina,True,1.2,True,Never,4.0,121,8.1,62.9,True,10479,73.1,1
+5470,46,Male,125,79,203,54,118,175,124,6.0,25.1,80,179,Asymptomatic,False,1.0,True,Former,5.5,89,7.2,60.7,False,5911,38.5,0
+5471,52,Male,134,83,151,52,68,164,100,5.4,26.0,71,172,Asymptomatic,False,0.2,False,Never,1.8,61,7.1,49.2,False,2604,76.9,0
+5472,61,Female,115,77,246,91,111,214,113,6.6,23.8,55,175,Atypical Angina,False,1.2,True,Never,9.1,282,6.5,30.6,True,6971,56.7,0
+5473,42,Male,141,77,156,35,100,160,102,5.5,36.3,87,159,Asymptomatic,False,3.6,False,Former,7.0,104,7.8,39.7,True,7417,59.3,1
+5474,53,Male,128,80,184,63,83,196,83,4.1,23.4,89,190,Atypical Angina,False,1.5,False,Never,7.4,139,6.6,62.8,False,7914,98.8,0
+5475,55,Female,130,77,161,54,75,119,136,5.7,24.0,68,151,Non-Anginal Pain,False,0.2,False,Never,5.4,219,5.2,43.5,True,7714,68.3,0
+5476,42,Female,134,72,202,51,114,183,106,5.3,27.1,83,168,Typical Angina,False,1.3,False,Never,0.8,89,7.5,49.7,True,7953,58.5,0
+5477,39,Female,108,77,209,48,126,200,120,5.9,23.7,84,166,Atypical Angina,False,1.0,False,Former,4.7,57,6.7,39.9,True,7336,20.5,0
+5478,72,Male,150,90,215,35,140,222,84,4.9,31.8,95,135,Atypical Angina,True,2.9,True,Never,10.6,28,6.9,65.7,True,5166,46.8,1
+5479,64,Male,135,86,118,37,70,83,120,6.0,23.0,84,159,Asymptomatic,False,4.5,False,Never,2.4,106,8.3,30.5,True,4952,67.1,0
+5480,49,Female,121,82,224,47,128,192,154,6.7,25.7,55,178,Asymptomatic,False,0.6,False,Never,11.0,187,9.1,61.7,False,7760,37.7,0
+5481,53,Male,125,67,178,59,74,178,108,5.4,30.3,77,175,Non-Anginal Pain,True,2.3,False,Former,4.6,204,7.5,39.4,False,7879,52.5,0
+5482,64,Female,120,74,259,110,123,147,121,6.2,20.0,70,158,Asymptomatic,False,0.7,False,Former,0.2,201,4.8,52.5,True,7554,76.4,0
+5483,41,Male,119,79,209,58,119,150,133,6.3,23.0,94,168,Asymptomatic,False,2.9,False,Current,5.9,105,6.7,22.9,True,8272,59.1,0
+5484,54,Female,123,85,172,59,77,152,116,5.5,20.1,91,192,Asymptomatic,False,0.4,True,Former,2.5,169,6.8,34.5,False,3420,67.9,0
+5485,65,Female,144,93,136,44,74,93,137,6.5,15.8,74,136,Asymptomatic,True,0.3,False,Never,0.9,70,6.5,52.2,False,2261,56.7,1
+5486,43,Female,124,71,202,74,92,178,133,5.8,20.0,77,170,Typical Angina,False,0.3,False,Never,5.0,157,4.3,52.9,True,7619,71.0,0
+5487,57,Female,127,78,194,57,121,60,141,6.3,31.0,86,166,Typical Angina,False,0.1,True,Never,6.7,145,6.7,52.3,True,8043,69.9,0
+5488,29,Female,108,72,202,67,73,266,127,5.5,25.9,73,188,Asymptomatic,False,0.2,False,Never,15.7,205,5.6,29.3,True,8595,69.3,0
+5489,55,Female,128,80,223,56,125,220,95,5.3,34.1,80,167,Asymptomatic,True,0.9,True,Never,1.5,111,7.4,55.8,False,4923,51.2,0
+5490,52,Male,132,78,191,41,113,205,126,6.0,25.7,93,152,Typical Angina,True,0.7,False,Current,5.0,63,5.5,76.4,False,9400,40.7,1
+5491,79,Female,124,76,222,62,143,110,161,6.6,23.0,70,154,Asymptomatic,False,0.6,True,Never,3.9,177,8.0,47.6,True,5965,44.5,0
+5492,57,Female,108,72,195,68,97,184,123,5.9,22.3,79,170,Asymptomatic,False,0.6,False,Never,1.9,168,6.6,34.3,False,4207,51.1,0
+5493,48,Male,125,78,201,55,100,218,132,5.5,27.9,73,173,Atypical Angina,False,0.5,False,Never,14.6,146,7.6,52.2,True,7808,52.7,0
+5494,61,Male,129,93,121,32,60,111,140,7.1,22.8,79,155,Asymptomatic,True,0.9,False,Never,10.8,69,7.3,43.1,True,8098,34.5,0
+5495,57,Male,144,96,217,33,124,184,99,5.6,28.2,78,147,Typical Angina,True,0.3,False,Former,4.7,176,5.4,44.0,False,6191,60.5,1
+5496,42,Male,135,86,187,46,93,236,124,6.3,27.0,87,169,Asymptomatic,False,0.1,False,Never,4.3,100,6.5,53.2,False,2868,38.4,0
+5497,54,Female,114,80,235,71,133,159,130,6.0,18.0,75,188,Non-Anginal Pain,False,2.0,False,Never,5.1,145,5.9,23.7,False,3621,63.0,0
+5498,79,Female,159,97,218,50,151,99,141,6.2,18.0,91,142,Non-Anginal Pain,False,0.5,False,Former,6.8,164,7.0,77.8,True,10501,64.7,0
+5499,60,Female,142,81,185,54,93,168,98,5.2,25.4,82,152,Non-Anginal Pain,True,6.2,False,Never,4.5,69,6.9,90.2,False,6403,51.1,1
+5500,35,Female,132,85,218,76,78,262,75,5.0,32.8,75,210,Non-Anginal Pain,False,0.2,False,Never,5.2,267,6.6,71.8,True,9095,38.6,0
+5501,51,Male,97,68,158,81,55,119,123,6.0,24.3,91,167,Atypical Angina,False,0.6,True,Former,4.8,227,7.6,42.9,False,4074,95.5,0
+5502,59,Male,123,74,236,65,144,229,131,6.3,32.0,84,185,Asymptomatic,False,1.7,False,Never,1.5,210,5.7,16.1,True,13547,64.2,0
+5503,53,Female,125,80,209,65,85,246,89,4.9,27.8,94,192,Non-Anginal Pain,False,1.0,False,Never,22.0,160,7.7,35.1,True,4447,48.7,0
+5504,73,Male,126,78,133,54,80,45,143,6.1,27.7,70,127,Asymptomatic,True,0.7,False,Never,3.6,136,4.8,62.0,True,6784,78.6,1
+5505,49,Male,128,92,173,53,96,126,91,4.7,18.0,76,156,Asymptomatic,False,0.7,True,Current,8.3,228,5.4,41.4,True,8248,54.8,0
+5506,76,Male,132,82,200,47,103,224,136,6.4,27.2,70,182,Asymptomatic,False,1.3,False,Never,5.5,208,6.5,47.3,False,1627,67.1,0
+5507,46,Male,157,96,181,46,94,175,133,5.8,26.7,86,180,Asymptomatic,False,0.6,True,Never,5.2,36,5.8,61.9,True,6995,62.0,0
+5508,54,Female,124,72,184,67,100,109,120,6.1,22.9,66,145,Asymptomatic,False,0.6,True,Never,5.1,212,5.0,55.9,True,6679,69.0,0
+5509,70,Female,158,92,201,56,117,126,109,5.9,23.9,81,159,Atypical Angina,False,0.5,True,Never,0.3,154,7.2,48.0,False,4597,75.6,0
+5510,34,Male,126,73,189,61,89,156,109,5.6,22.9,74,188,Typical Angina,False,0.2,False,Current,3.9,224,7.5,54.9,False,9162,53.6,0
+5511,43,Male,115,76,150,58,66,98,123,5.3,24.5,89,184,Non-Anginal Pain,False,2.3,True,Current,2.0,79,7.2,13.0,False,2266,86.0,0
+5512,62,Female,130,74,183,49,101,162,117,5.4,35.1,75,155,Atypical Angina,True,2.5,True,Former,2.7,109,8.0,28.2,False,5316,60.9,1
+5513,74,Male,137,96,148,47,52,164,164,7.2,24.4,69,133,Asymptomatic,False,0.7,True,Never,10.0,75,7.0,47.3,False,3682,68.6,0
+5514,46,Female,129,91,222,67,103,199,109,5.1,24.0,86,174,Atypical Angina,False,0.8,False,Former,11.4,174,5.4,39.8,True,7567,58.3,0
+5515,62,Male,112,76,228,55,158,104,135,5.9,32.6,80,147,Asymptomatic,True,1.0,True,Never,3.8,75,7.1,43.8,False,7412,57.9,1
+5516,39,Male,107,68,146,47,86,93,128,5.8,24.4,77,172,Asymptomatic,False,0.0,False,Former,5.4,61,8.8,52.7,False,5367,69.9,0
+5517,61,Male,165,106,131,26,74,144,133,6.7,32.1,88,143,Non-Anginal Pain,False,1.0,False,Former,8.6,0,7.2,56.8,False,3864,38.8,1
+5518,75,Female,178,119,238,32,155,198,136,6.3,31.8,81,127,Non-Anginal Pain,False,0.5,False,Current,3.8,0,7.2,51.1,False,500,53.2,1
+5519,50,Female,128,79,161,60,87,91,153,6.0,24.9,79,188,Asymptomatic,False,1.5,False,Current,11.5,131,7.4,62.4,True,6947,87.2,0
+5520,48,Male,124,73,186,44,95,229,112,5.5,29.0,82,155,Non-Anginal Pain,False,2.0,True,Current,1.6,147,6.6,50.3,False,6971,36.4,1
+5521,71,Male,138,79,215,62,113,189,96,5.3,25.4,79,126,Asymptomatic,True,0.5,False,Never,2.5,127,8.5,67.6,False,4348,72.0,0
+5522,63,Male,141,93,194,71,70,212,97,5.4,22.8,77,182,Non-Anginal Pain,False,1.3,False,Never,16.6,203,6.5,35.5,True,8757,77.4,0
+5523,67,Female,146,87,172,54,114,130,148,6.9,27.7,84,133,Atypical Angina,False,0.6,False,Never,1.7,100,6.4,33.1,False,3297,69.5,1
+5524,70,Male,134,81,179,67,82,178,155,6.6,20.1,92,129,Typical Angina,True,0.4,True,Never,8.0,63,6.0,42.3,False,3114,72.6,1
+5525,53,Male,160,97,203,60,110,169,129,6.0,26.9,87,157,Asymptomatic,False,1.4,True,Never,2.8,78,5.4,70.7,False,5306,42.1,0
+5526,67,Male,139,90,232,65,118,224,128,6.7,25.2,77,131,Asymptomatic,False,0.6,False,Never,14.5,54,6.0,44.5,False,3505,61.4,1
+5527,78,Female,140,84,199,59,123,35,143,6.7,22.4,82,155,Asymptomatic,False,1.2,False,Current,5.5,97,5.9,69.5,False,4364,71.4,0
+5528,50,Male,128,78,171,55,82,148,152,7.0,29.8,73,147,Asymptomatic,False,3.4,False,Never,10.5,159,6.6,49.1,True,6091,67.3,1
+5529,66,Male,131,91,214,54,116,160,90,5.4,22.5,91,144,Asymptomatic,False,1.0,False,Never,4.5,68,7.2,42.8,False,6968,41.5,0
+5530,49,Female,130,76,198,62,128,117,92,5.1,19.3,85,174,Asymptomatic,False,3.3,True,Current,0.2,141,6.8,48.2,True,6312,59.5,0
+5531,73,Male,127,79,163,63,87,107,94,4.7,22.0,74,148,Non-Anginal Pain,False,3.4,False,Former,10.7,198,7.4,17.5,True,5034,67.5,0
+5532,62,Male,131,87,199,30,133,124,126,5.5,31.2,99,157,Asymptomatic,False,1.7,False,Current,2.6,170,8.0,54.3,True,6420,21.5,1
+5533,38,Female,116,75,166,49,92,134,102,5.1,16.6,88,192,Asymptomatic,False,0.0,False,Never,1.2,62,7.9,49.3,False,8325,61.7,0
+5534,57,Female,141,103,194,43,123,136,148,6.1,29.3,81,141,Typical Angina,True,0.3,False,Current,2.5,100,7.4,54.0,False,5884,39.2,1
+5535,48,Male,124,77,162,47,79,170,110,6.0,21.9,55,160,Asymptomatic,False,0.4,False,Never,11.9,186,6.9,61.3,False,5177,83.9,0
+5536,65,Male,124,80,197,49,99,251,128,5.9,20.0,74,149,Asymptomatic,False,0.5,False,Never,9.0,133,6.4,56.9,True,6860,49.1,0
+5537,52,Male,138,94,178,58,91,202,117,6.1,29.3,79,163,Atypical Angina,False,1.3,False,Never,10.9,113,8.5,60.9,True,7185,27.6,0
+5538,53,Female,123,74,237,55,149,156,123,5.7,27.2,92,183,Atypical Angina,False,1.1,True,Never,1.4,194,7.0,28.0,True,7428,71.7,0
+5539,63,Male,141,103,230,58,157,173,162,6.9,25.8,92,139,Non-Anginal Pain,False,1.4,False,Former,3.4,226,5.1,72.3,True,9878,47.8,1
+5540,48,Male,128,81,166,27,99,167,123,5.7,24.4,77,161,Asymptomatic,True,0.7,True,Never,6.9,171,6.7,61.0,False,7215,34.1,1
+5541,19,Male,99,57,242,42,147,257,142,6.1,29.7,65,210,Asymptomatic,False,0.1,True,Never,5.6,134,7.6,69.2,False,8557,49.8,0
+5542,47,Female,146,101,220,65,119,133,131,5.9,31.0,80,161,Asymptomatic,False,2.6,False,Former,8.9,139,8.6,50.6,True,5601,65.4,0
+5543,47,Female,123,73,214,68,108,163,118,5.6,30.4,99,192,Asymptomatic,False,0.4,True,Never,6.8,202,4.9,52.1,False,4175,66.6,0
+5544,74,Male,149,92,208,54,124,195,138,6.6,29.5,84,147,Asymptomatic,True,2.9,False,Never,4.4,92,5.0,70.4,True,6100,60.7,1
+5545,33,Male,128,75,214,52,124,148,122,6.0,27.3,76,190,Asymptomatic,True,0.7,True,Never,2.5,146,8.0,44.8,True,8776,49.7,0
+5546,77,Female,135,94,237,57,145,165,81,4.5,28.2,76,120,Non-Anginal Pain,False,0.8,True,Never,1.1,122,5.6,32.8,False,7082,44.2,1
+5547,56,Female,141,90,185,58,112,61,125,5.6,25.7,79,190,Atypical Angina,False,0.5,False,Former,1.4,277,8.0,44.5,True,8847,80.2,0
+5548,60,Male,110,67,159,37,107,99,119,5.3,28.6,85,173,Non-Anginal Pain,False,1.1,False,Current,1.9,72,6.7,30.2,False,4222,76.0,0
+5549,52,Female,124,79,157,58,78,156,73,4.5,22.2,76,172,Asymptomatic,False,0.1,False,Never,2.3,146,6.1,45.5,False,2473,50.3,0
+5550,52,Male,125,71,140,53,72,135,120,5.7,26.9,86,163,Non-Anginal Pain,False,0.0,False,Former,9.8,27,6.1,39.4,True,6681,77.3,0
+5551,47,Male,110,68,160,61,80,125,123,6.1,19.9,66,182,Non-Anginal Pain,False,0.6,True,Former,5.3,254,7.4,42.1,False,7935,44.9,0
+5552,80,Female,119,71,228,70,134,161,117,5.9,24.3,98,116,Asymptomatic,False,2.6,False,Never,0.9,0,7.6,51.7,False,2591,87.8,1
+5553,45,Female,129,84,247,60,149,171,102,5.5,21.3,81,167,Atypical Angina,False,0.6,False,Former,3.6,43,6.6,54.0,False,3306,35.7,0
+5554,60,Female,144,100,207,68,99,200,107,5.5,21.5,74,167,Atypical Angina,False,0.2,False,Former,8.2,115,5.9,56.3,False,3787,46.1,0
+5555,57,Female,128,82,191,40,118,198,124,6.2,33.3,70,171,Asymptomatic,False,0.1,False,Never,4.1,96,5.9,72.9,True,8296,47.4,0
+5556,55,Male,133,87,227,58,132,191,113,5.8,24.4,92,155,Asymptomatic,False,0.6,False,Current,14.4,111,6.1,45.0,False,3466,50.3,1
+5557,67,Female,137,82,180,66,60,215,97,5.2,26.2,94,152,Asymptomatic,False,0.1,True,Current,21.1,109,7.9,56.6,False,4907,44.4,0
+5558,61,Female,111,57,218,63,127,132,103,5.7,21.5,75,182,Asymptomatic,False,0.7,True,Current,5.2,212,8.9,39.2,True,5588,42.9,0
+5559,31,Female,108,59,163,55,99,104,143,6.6,30.6,72,175,Typical Angina,False,1.0,False,Former,0.2,37,8.2,43.7,False,3376,66.8,1
+5560,32,Female,108,74,185,52,102,159,129,6.6,23.6,93,160,Atypical Angina,False,0.5,True,Never,0.7,79,5.5,42.3,False,3787,34.6,1
+5561,47,Female,124,73,172,62,76,117,139,6.5,21.4,81,185,Asymptomatic,False,0.8,False,Current,0.8,89,7.3,52.1,True,6159,45.7,0
+5562,72,Female,125,84,250,63,155,233,127,6.3,23.1,68,137,Asymptomatic,True,2.2,False,Never,6.1,28,6.7,27.2,False,3569,64.0,1
+5563,79,Male,159,93,245,74,148,82,131,6.0,24.5,85,128,Asymptomatic,False,0.3,False,Never,3.7,135,7.4,79.1,False,3945,75.9,0
+5564,49,Male,102,65,203,54,127,137,100,5.1,29.6,94,157,Typical Angina,False,1.2,True,Current,2.4,108,7.5,66.5,False,5335,50.8,1
+5565,55,Male,134,82,176,56,103,173,84,4.6,22.0,75,179,Asymptomatic,False,1.0,False,Former,12.2,174,6.2,71.9,False,7466,42.0,0
+5566,39,Female,99,59,139,55,60,185,95,5.4,24.6,89,186,Asymptomatic,False,0.6,False,Never,2.5,219,6.7,35.4,False,4365,68.3,0
+5567,58,Male,157,109,239,62,131,192,126,6.6,23.8,75,159,Asymptomatic,False,0.0,True,Never,6.5,141,6.5,40.4,True,8193,39.5,0
+5568,58,Female,129,74,193,58,90,183,172,6.6,30.1,77,137,Non-Anginal Pain,True,0.5,False,Never,0.5,200,6.0,54.0,False,6234,81.8,1
+5569,46,Male,110,65,199,50,111,96,112,5.4,26.6,100,179,Asymptomatic,False,0.3,False,Never,10.3,181,7.2,47.5,True,9602,58.8,0
+5570,53,Female,144,94,199,76,95,109,75,5.0,15.0,91,193,Asymptomatic,False,0.2,False,Never,3.3,75,6.2,53.3,False,3518,65.1,0
+5571,60,Female,107,75,174,68,115,56,117,5.8,19.4,96,169,Asymptomatic,False,0.1,False,Former,4.1,168,8.0,43.2,False,2402,47.8,0
+5572,76,Female,126,92,209,52,128,166,66,4.0,17.4,90,156,Non-Anginal Pain,False,0.4,False,Never,19.4,229,6.5,28.8,True,8347,64.2,0
+5573,79,Male,130,94,189,61,81,171,115,5.1,24.4,82,143,Asymptomatic,False,0.5,True,Never,10.2,157,7.5,26.9,False,4931,57.4,0
+5574,88,Male,139,89,150,51,65,191,173,7.3,27.2,76,152,Non-Anginal Pain,True,0.7,False,Former,2.8,96,6.9,51.0,False,500,63.0,0
+5575,46,Female,108,70,194,58,103,116,107,4.7,20.4,88,181,Asymptomatic,False,0.7,False,Current,2.5,89,8.3,56.3,False,500,54.5,0
+5576,25,Male,112,71,149,51,81,136,124,5.8,26.2,87,188,Asymptomatic,True,0.5,False,Current,11.1,154,6.3,51.8,False,6435,74.3,0
+5577,55,Male,139,81,174,49,92,117,60,4.4,26.2,96,170,Asymptomatic,False,0.7,False,Never,6.5,22,5.9,48.3,False,4940,67.9,0
+5578,39,Male,129,76,233,70,134,178,103,5.0,30.8,81,174,Asymptomatic,True,1.4,True,Former,9.3,203,4.0,32.9,True,9883,60.7,1
+5579,61,Female,124,75,219,82,111,138,106,5.2,26.5,74,180,Asymptomatic,False,1.9,True,Never,2.7,144,7.9,20.8,False,4094,60.8,0
+5580,50,Female,120,94,203,55,128,173,107,4.8,26.1,83,179,Asymptomatic,False,1.4,False,Former,12.6,206,7.2,74.2,True,6688,78.8,0
+5581,45,Male,109,60,170,66,99,63,78,4.6,15.8,83,171,Atypical Angina,False,1.0,False,Never,2.2,113,7.8,46.3,False,4133,85.9,0
+5582,53,Male,131,82,214,47,153,175,118,6.1,27.0,85,165,Asymptomatic,False,0.1,False,Never,8.4,177,7.9,52.0,False,4947,50.6,0
+5583,68,Female,126,76,245,72,140,89,114,5.2,24.5,62,177,Asymptomatic,False,0.1,False,Never,0.8,282,7.8,85.5,True,7975,50.9,0
+5584,59,Male,136,69,265,58,158,194,104,5.5,21.3,67,151,Asymptomatic,False,0.5,False,Never,5.3,191,6.7,70.5,True,7526,44.8,0
+5585,54,Male,125,64,149,66,85,49,134,5.6,18.0,78,168,Asymptomatic,False,1.0,True,Never,3.4,194,7.8,15.0,False,5249,72.2,0
+5586,43,Male,122,77,161,54,82,73,98,5.6,15.0,84,182,Atypical Angina,False,1.9,False,Never,12.6,210,5.5,58.8,True,6041,58.0,0
+5587,40,Male,133,93,149,39,94,111,122,5.7,30.6,69,167,Non-Anginal Pain,False,0.4,False,Never,7.3,120,6.0,73.3,False,3293,47.4,0
+5588,59,Female,117,60,184,59,93,100,136,6.6,24.1,95,169,Asymptomatic,False,1.1,False,Never,0.2,187,5.5,61.4,True,9900,67.9,0
+5589,49,Male,106,72,168,74,86,117,81,4.4,24.6,87,181,Non-Anginal Pain,False,0.2,True,Never,1.6,110,6.6,65.1,False,5537,84.1,0
+5590,41,Male,133,84,160,56,85,109,145,6.4,30.8,100,168,Non-Anginal Pain,False,0.1,False,Former,7.0,215,8.5,81.0,True,6375,77.0,0
+5591,61,Male,138,90,195,53,135,49,129,5.8,18.2,92,145,Atypical Angina,True,0.6,False,Current,1.9,70,7.0,38.4,True,8190,51.3,1
+5592,54,Male,132,89,163,38,91,171,92,5.1,26.0,77,162,Non-Anginal Pain,False,0.4,False,Never,8.1,76,7.7,46.6,False,2735,53.1,0
+5593,50,Male,137,74,204,61,123,125,126,5.6,25.4,64,182,Non-Anginal Pain,False,0.6,True,Never,2.8,97,6.1,35.6,True,8158,84.4,0
+5594,75,Male,135,81,241,36,163,214,124,5.8,23.6,81,133,Non-Anginal Pain,False,4.5,False,Never,4.1,104,9.3,55.9,True,10378,66.0,1
+5595,46,Male,127,76,167,67,66,162,113,5.4,17.7,80,177,Asymptomatic,False,1.0,False,Never,2.7,210,7.1,63.8,True,6761,51.2,0
+5596,67,Male,141,93,188,50,99,181,98,5.2,30.4,88,148,Non-Anginal Pain,False,0.3,False,Never,2.4,132,6.4,60.9,True,4519,57.8,1
+5597,56,Male,131,84,220,51,148,122,107,5.3,23.1,80,163,Asymptomatic,False,1.2,False,Never,9.5,216,7.6,27.6,True,10447,67.1,0
+5598,60,Female,127,88,205,83,80,206,124,5.6,23.9,65,183,Atypical Angina,False,0.3,False,Never,2.9,248,8.2,43.5,True,3677,66.7,0
+5599,56,Female,121,78,219,39,135,194,109,5.6,31.9,78,179,Non-Anginal Pain,False,0.4,False,Never,2.4,75,7.1,42.8,True,3983,63.3,0
+5600,67,Female,133,94,195,56,118,133,117,5.5,27.8,77,130,Asymptomatic,True,0.1,True,Never,0.9,133,7.9,61.4,False,6505,74.1,1
+5601,74,Male,135,88,205,39,125,224,128,6.2,26.8,84,128,Non-Anginal Pain,False,1.0,False,Never,4.6,92,5.6,59.5,False,9314,53.3,1
+5602,37,Female,114,67,170,70,69,123,124,5.6,18.9,72,192,Asymptomatic,False,1.6,False,Never,4.8,185,7.1,46.1,False,6455,49.3,0
+5603,70,Female,134,90,170,58,99,90,110,5.5,16.3,80,139,Non-Anginal Pain,False,0.3,True,Former,2.5,74,6.3,61.3,False,6352,52.4,0
+5604,51,Female,121,76,216,66,111,146,94,4.8,24.1,76,176,Asymptomatic,False,0.6,True,Never,3.6,169,8.2,53.6,False,6106,53.1,0
+5605,59,Female,126,74,218,50,133,196,125,5.5,31.8,91,137,Atypical Angina,False,1.1,True,Current,3.0,47,6.5,8.4,False,5776,45.8,1
+5606,58,Female,112,58,215,60,133,116,87,5.3,22.0,80,155,Atypical Angina,False,0.2,False,Former,4.9,240,7.2,67.2,True,5084,48.4,0
+5607,47,Male,94,66,142,46,86,77,69,4.0,27.6,63,172,Asymptomatic,False,0.0,False,Never,2.0,257,5.3,48.4,False,8652,69.7,0
+5608,47,Female,131,81,186,57,106,71,122,5.8,30.5,63,187,Asymptomatic,False,0.8,True,Never,1.6,90,7.3,55.3,True,6704,71.1,0
+5609,57,Male,118,72,194,59,102,103,107,5.2,20.1,72,164,Non-Anginal Pain,True,0.9,False,Never,3.2,125,7.7,39.9,False,5868,60.9,0
+5610,46,Male,121,77,188,46,105,137,104,5.2,24.9,66,177,Asymptomatic,False,2.4,False,Never,2.9,107,6.5,49.7,False,1726,69.1,0
+5611,63,Male,136,80,221,61,114,153,107,5.7,27.4,83,165,Non-Anginal Pain,False,0.1,True,Never,8.8,162,5.7,46.8,False,4775,67.8,0
+5612,35,Male,122,74,165,57,106,71,121,5.5,24.9,76,192,Non-Anginal Pain,False,2.6,False,Never,2.9,191,8.7,40.0,True,5692,61.5,0
+5613,52,Male,117,65,170,48,78,200,110,5.7,29.0,78,170,Asymptomatic,False,0.1,False,Never,2.0,209,7.6,45.7,True,11005,54.6,0
+5614,72,Female,148,93,171,53,89,197,124,6.1,28.8,82,147,Asymptomatic,False,0.5,False,Former,6.9,175,7.5,45.4,True,8654,38.6,0
+5615,52,Male,112,61,183,53,122,105,113,5.1,22.0,77,192,Non-Anginal Pain,False,0.6,False,Former,3.4,85,6.8,38.1,False,7307,59.3,0
+5616,42,Male,144,90,198,56,95,242,101,5.0,22.8,88,193,Asymptomatic,False,0.2,False,Never,11.3,231,7.5,42.2,True,6393,47.2,0
+5617,53,Male,99,69,237,50,140,247,136,6.4,27.9,78,144,Atypical Angina,True,1.9,False,Never,4.8,84,6.9,50.8,False,4288,39.1,1
+5618,41,Female,163,114,166,55,87,149,124,5.8,32.6,86,184,Asymptomatic,False,0.5,False,Never,4.6,209,7.2,42.0,True,6301,55.7,0
+5619,64,Female,131,65,246,78,132,110,87,5.4,21.6,72,166,Asymptomatic,False,0.6,False,Former,4.0,149,6.1,33.9,False,8365,67.5,0
+5620,56,Male,130,94,198,56,117,129,152,6.3,23.3,79,157,Non-Anginal Pain,True,1.1,True,Never,3.0,74,5.7,20.0,False,641,30.6,1
+5621,51,Female,140,69,250,71,149,119,95,4.7,17.8,83,179,Atypical Angina,False,0.8,False,Former,0.8,216,8.0,35.1,False,6016,63.4,0
+5622,63,Female,150,100,260,55,170,165,116,5.3,26.8,79,159,Asymptomatic,False,0.3,True,Never,3.6,92,7.9,30.8,False,3837,53.0,0
+5623,53,Male,143,78,157,43,78,161,88,5.0,30.2,82,166,Asymptomatic,False,0.6,True,Never,9.1,150,6.5,32.2,False,6945,75.0,0
+5624,45,Male,135,81,157,44,80,149,130,6.4,30.0,86,196,Atypical Angina,False,1.7,True,Former,1.7,98,8.1,24.7,False,4914,61.6,0
+5625,50,Female,109,64,188,64,115,74,110,5.5,30.3,94,174,Non-Anginal Pain,False,1.2,True,Never,0.1,154,7.1,25.6,False,2786,59.9,0
+5626,44,Female,132,77,198,60,116,120,132,6.0,26.6,86,182,Non-Anginal Pain,False,1.8,False,Current,11.0,172,5.5,60.2,True,7043,69.0,0
+5627,40,Male,145,97,208,59,111,164,162,7.1,29.2,95,163,Asymptomatic,False,1.2,False,Never,16.4,68,7.9,45.0,False,4587,48.8,1
+5628,62,Male,126,84,204,49,109,184,123,5.5,26.1,79,149,Asymptomatic,False,0.6,False,Former,2.0,174,6.2,39.1,True,7541,54.9,0
+5629,45,Male,129,79,138,79,43,107,106,5.4,17.3,71,187,Asymptomatic,False,0.8,False,Never,2.2,212,6.3,19.6,False,6233,61.5,0
+5630,46,Male,131,84,196,46,118,158,93,4.7,26.6,66,184,Atypical Angina,True,0.4,False,Never,12.3,73,7.9,31.8,False,8094,42.9,0
+5631,66,Female,120,72,181,47,97,179,97,5.9,22.9,86,120,Atypical Angina,False,0.9,False,Former,2.2,72,7.6,45.4,False,5354,63.3,1
+5632,37,Male,131,80,168,58,86,138,93,5.7,22.1,68,206,Atypical Angina,False,1.2,False,Never,5.1,7,3.7,48.1,False,6706,49.6,0
+5633,43,Female,122,75,187,59,120,117,112,5.9,24.2,77,186,Non-Anginal Pain,False,0.4,True,Former,1.7,122,7.5,56.4,False,7324,67.8,0
+5634,47,Male,120,84,215,71,104,187,152,6.9,25.4,94,187,Asymptomatic,True,0.1,False,Never,2.1,126,7.2,36.0,True,8145,63.3,0
+5635,74,Female,138,92,198,56,92,237,124,5.7,23.7,78,154,Atypical Angina,False,1.2,False,Never,4.9,3,6.5,37.5,False,4215,68.2,0
+5636,52,Female,116,75,163,37,107,130,111,5.2,28.0,88,176,Asymptomatic,False,2.4,False,Current,0.6,172,7.5,34.9,True,8241,44.6,0
+5637,56,Female,119,67,180,59,91,229,88,4.8,22.5,77,159,Non-Anginal Pain,False,1.2,False,Never,2.9,142,8.7,35.2,True,7237,51.7,0
+5638,55,Male,126,87,138,46,57,151,116,5.4,23.2,91,163,Atypical Angina,False,0.9,False,Never,6.0,148,7.2,73.6,False,1368,41.6,0
+5639,38,Male,122,80,194,60,114,122,112,5.0,25.4,76,190,Asymptomatic,False,1.0,False,Never,2.0,150,7.0,5.3,False,8181,82.5,0
+5640,59,Female,145,95,209,42,113,217,118,5.8,32.7,73,163,Asymptomatic,False,0.7,False,Current,0.5,228,8.0,31.0,True,9830,58.3,0
+5641,65,Male,136,86,218,58,137,173,137,6.6,27.4,77,160,Asymptomatic,False,1.3,False,Never,9.4,226,6.7,43.5,True,8723,89.5,0
+5642,76,Male,135,76,214,47,132,112,161,7.0,28.8,85,128,Asymptomatic,True,2.3,False,Never,4.7,79,6.4,60.5,False,1311,52.9,1
+5643,51,Female,127,79,150,63,63,99,133,6.4,26.0,74,168,Non-Anginal Pain,False,2.1,False,Never,2.6,54,5.3,53.2,False,2619,54.8,0
+5644,62,Male,131,86,195,51,105,167,114,5.4,25.5,77,148,Non-Anginal Pain,False,0.1,False,Never,3.6,111,6.1,70.5,False,6299,61.6,0
+5645,66,Female,144,103,196,45,120,179,140,6.1,32.5,89,140,Typical Angina,False,2.3,False,Never,15.2,160,5.8,45.8,True,7983,70.9,1
+5646,55,Male,102,57,185,51,100,177,145,6.1,21.8,73,180,Non-Anginal Pain,False,3.8,False,Former,11.2,196,5.6,55.6,True,7589,63.5,0
+5647,81,Male,146,84,233,53,149,193,176,7.0,27.1,78,123,Asymptomatic,True,3.5,True,Former,7.2,78,6.0,44.2,True,7443,73.6,1
+5648,80,Male,140,91,228,61,129,204,120,6.0,25.5,84,137,Non-Anginal Pain,False,3.8,False,Never,4.5,191,5.8,30.0,True,4367,71.6,1
+5649,73,Male,135,86,205,38,125,212,146,6.6,27.8,68,122,Non-Anginal Pain,False,0.9,False,Current,4.1,80,6.5,20.5,False,2656,36.2,1
+5650,38,Male,116,71,289,63,165,209,149,6.1,28.6,76,170,Typical Angina,True,0.4,False,Never,10.5,134,8.7,58.8,False,5503,37.9,1
+5651,51,Female,149,87,250,82,146,127,83,4.9,27.6,76,189,Asymptomatic,False,0.9,False,Never,4.7,209,6.9,49.3,False,7973,67.8,0
+5652,64,Male,155,87,175,43,90,139,153,6.8,36.6,87,155,Asymptomatic,False,0.6,False,Current,4.6,70,6.3,42.8,False,4590,37.8,0
+5653,55,Female,125,77,222,57,133,168,86,4.4,21.2,91,151,Atypical Angina,False,0.3,False,Never,1.0,97,6.0,52.6,True,6510,46.1,0
+5654,32,Female,108,74,205,84,79,241,155,6.8,26.3,81,196,Asymptomatic,False,0.4,False,Never,7.5,282,6.5,37.6,True,10279,93.1,0
+5655,57,Female,129,80,221,51,128,264,141,6.7,31.5,71,173,Asymptomatic,True,0.4,True,Never,12.6,186,7.2,43.2,False,6304,48.2,1
+5656,81,Female,141,84,135,33,89,102,122,6.0,24.5,86,127,Typical Angina,False,2.2,True,Former,6.6,18,7.2,67.2,False,1036,69.0,1
+5657,76,Female,135,84,243,69,156,93,151,6.5,29.2,99,124,Atypical Angina,True,1.0,False,Never,1.6,0,6.5,79.0,False,2605,20.8,1
+5658,66,Female,145,78,232,55,124,210,160,6.9,24.5,84,166,Asymptomatic,False,0.5,True,Never,7.7,189,6.7,58.2,False,5926,53.9,0
+5659,56,Male,140,90,193,37,99,259,146,6.7,27.2,73,144,Asymptomatic,False,1.1,False,Former,7.8,120,6.3,51.0,True,8586,59.5,1
+5660,55,Female,136,92,228,74,122,160,100,5.6,23.8,89,167,Non-Anginal Pain,False,1.3,False,Never,1.1,156,7.4,61.1,False,4989,77.6,0
+5661,58,Male,125,90,167,67,73,136,80,4.8,15.0,76,168,Asymptomatic,True,0.4,True,Never,18.2,260,9.3,30.0,False,5426,92.3,0
+5662,48,Male,116,52,239,79,139,167,167,7.2,27.3,89,187,Asymptomatic,False,3.1,False,Former,5.7,94,8.2,38.4,True,6522,72.3,0
+5663,48,Male,126,92,221,53,135,232,133,5.6,21.9,87,179,Non-Anginal Pain,False,0.4,True,Current,19.2,190,7.0,53.9,False,3571,37.2,0
+5664,57,Female,132,74,178,62,86,110,134,6.3,27.4,76,156,Asymptomatic,False,0.9,False,Former,3.9,144,8.7,68.6,True,8721,73.2,0
+5665,81,Female,151,82,249,53,157,151,112,6.0,24.8,86,131,Asymptomatic,True,0.3,False,Former,3.5,64,7.5,60.0,False,2596,54.7,1
+5666,62,Female,130,88,130,29,80,123,100,4.9,27.0,63,162,Non-Anginal Pain,False,1.3,False,Never,1.3,184,8.9,36.9,True,8136,41.4,1
+5667,58,Male,135,87,169,47,101,145,149,6.7,23.1,76,153,Asymptomatic,False,0.3,True,Current,1.7,183,7.9,63.4,False,4576,57.1,1
+5668,69,Male,133,94,186,37,131,126,101,5.4,25.0,94,146,Asymptomatic,True,0.9,False,Former,3.6,86,8.3,27.8,False,3961,76.9,1
+5669,76,Male,130,87,156,53,71,145,167,7.0,27.5,66,136,Asymptomatic,True,4.7,False,Never,10.8,67,6.7,40.4,False,4746,38.6,1
+5670,70,Male,135,93,240,60,126,295,92,5.5,27.5,83,134,Typical Angina,True,1.9,False,Former,18.4,60,6.2,46.7,False,6515,48.8,1
+5671,41,Male,127,81,209,52,118,171,139,6.4,26.9,78,175,Asymptomatic,True,1.8,True,Former,2.9,177,7.0,34.8,True,9027,54.5,1
+5672,77,Male,121,92,150,35,102,84,119,6.1,23.5,86,114,Atypical Angina,True,0.0,False,Former,2.5,110,6.8,60.4,False,500,58.8,1
+5673,66,Male,126,75,211,43,123,252,154,6.3,28.8,99,141,Asymptomatic,False,0.1,False,Never,4.3,23,7.1,44.5,False,2722,47.4,0
+5674,38,Male,120,71,193,60,99,133,144,6.4,22.0,85,201,Atypical Angina,False,1.0,True,Current,4.9,144,7.4,39.8,True,7712,35.7,0
+5675,50,Female,122,73,185,77,84,132,89,5.3,28.5,78,177,Asymptomatic,False,1.9,False,Never,1.2,202,6.9,43.6,True,5085,67.1,0
+5676,26,Male,111,64,162,21,111,147,106,5.6,28.3,70,192,Typical Angina,False,1.2,False,Former,5.8,207,7.1,35.8,True,8708,72.5,0
+5677,44,Female,104,57,201,51,106,131,100,5.0,17.1,75,178,Non-Anginal Pain,True,0.4,False,Former,3.5,150,8.9,53.9,False,4748,40.1,0
+5678,54,Female,106,73,188,46,104,234,106,5.4,19.0,82,169,Non-Anginal Pain,False,2.9,False,Never,0.5,148,7.6,65.8,True,6000,53.0,0
+5679,58,Male,128,82,148,42,99,107,111,5.5,33.0,94,150,Asymptomatic,False,1.1,False,Never,4.4,195,7.5,48.0,False,8450,66.1,0
+5680,50,Male,135,95,212,68,99,182,147,6.4,29.6,87,185,Non-Anginal Pain,False,1.6,False,Current,14.2,230,7.1,56.6,True,7468,61.3,0
+5681,57,Female,134,92,208,82,93,172,149,6.6,26.4,85,153,Asymptomatic,True,2.4,False,Former,10.3,87,7.4,77.7,False,4612,48.2,1
+5682,48,Female,122,90,235,51,137,210,110,6.0,23.5,86,188,Asymptomatic,True,0.5,True,Never,6.7,150,6.4,41.4,False,6071,52.0,0
+5683,60,Female,131,88,159,51,94,115,128,6.2,21.5,72,161,Asymptomatic,False,2.1,False,Former,1.6,35,4.9,59.0,False,4996,61.5,0
+5684,54,Female,121,52,175,65,65,190,97,4.7,22.7,75,161,Asymptomatic,False,0.3,True,Never,1.5,218,6.1,51.5,True,8754,85.2,0
+5685,62,Male,137,84,126,41,81,43,132,6.2,21.2,79,150,Atypical Angina,False,0.8,True,Never,6.2,60,8.3,21.2,True,5209,81.2,0
+5686,67,Female,142,80,193,55,84,224,131,6.1,29.3,86,160,Asymptomatic,False,0.3,False,Never,8.4,193,8.0,45.6,True,5910,65.6,0
+5687,64,Male,133,73,161,32,110,142,106,5.7,25.9,85,155,Asymptomatic,True,2.1,False,Current,1.9,107,8.9,52.0,True,4848,59.8,1
+5688,51,Female,129,69,188,35,114,189,125,5.8,23.1,95,147,Asymptomatic,False,2.6,False,Current,4.3,72,7.3,66.6,False,5259,50.4,1
+5689,32,Male,125,88,246,63,145,176,167,6.7,26.5,79,189,Asymptomatic,False,0.4,False,Former,6.8,168,6.6,59.5,True,10230,74.2,0
+5690,61,Male,134,81,169,53,79,98,118,5.8,27.5,81,135,Non-Anginal Pain,False,0.9,False,Former,3.3,0,5.8,61.5,False,4821,46.3,1
+5691,36,Male,105,76,164,69,59,117,86,4.7,18.8,82,202,Atypical Angina,False,0.4,False,Never,17.6,161,7.3,48.8,False,6665,60.8,0
+5692,65,Female,128,75,217,61,139,35,171,7.7,23.4,82,159,Typical Angina,True,0.5,True,Never,2.4,188,7.2,59.8,True,7801,88.2,0
+5693,70,Male,140,90,208,43,135,135,140,6.2,21.6,87,139,Non-Anginal Pain,True,2.4,False,Never,2.5,101,5.3,75.5,False,3587,50.0,1
+5694,67,Male,136,85,169,39,119,92,93,5.1,23.3,81,176,Asymptomatic,True,0.5,False,Never,2.3,291,5.5,38.0,True,9214,73.0,0
+5695,70,Female,147,97,212,57,130,156,131,6.2,25.6,84,169,Non-Anginal Pain,True,1.5,False,Current,5.2,193,6.9,65.9,True,5487,46.8,1
+5696,69,Female,120,83,172,55,100,127,128,5.8,23.8,91,168,Atypical Angina,False,0.6,True,Never,0.9,91,7.6,70.7,False,5465,78.3,0
+5697,43,Male,124,89,212,69,99,153,145,6.4,17.6,83,159,Typical Angina,True,0.3,True,Current,5.2,276,6.5,32.2,True,10914,69.6,0
+5698,38,Female,109,58,110,61,35,91,86,4.3,21.8,75,186,Non-Anginal Pain,True,0.6,False,Former,5.0,143,7.1,76.2,False,4832,79.0,0
+5699,26,Male,127,93,191,31,130,120,115,5.6,24.4,90,210,Asymptomatic,False,0.1,True,Never,3.8,130,6.3,53.1,True,5821,74.8,0
+5700,56,Male,120,69,192,67,93,178,151,6.8,23.4,87,153,Non-Anginal Pain,False,0.3,False,Never,16.4,56,5.6,64.7,False,5022,59.8,0
+5701,60,Female,115,73,199,46,139,93,119,5.8,24.8,93,139,Non-Anginal Pain,False,0.6,False,Former,0.1,263,7.9,54.4,True,6065,50.2,1
+5702,59,Male,128,93,198,32,123,153,133,6.2,33.7,92,147,Asymptomatic,True,4.6,False,Current,12.2,15,6.7,46.9,False,3715,82.1,1
+5703,53,Female,125,85,195,67,94,160,92,5.0,26.9,86,177,Asymptomatic,False,0.7,True,Never,14.2,103,6.9,70.2,True,4126,67.0,0
+5704,67,Female,132,74,159,50,90,96,100,5.7,19.5,93,155,Asymptomatic,False,1.2,False,Current,6.0,91,4.6,40.9,False,8422,40.9,0
+5705,58,Male,137,82,220,44,143,198,111,5.9,25.1,89,160,Asymptomatic,False,0.1,False,Current,5.3,151,6.1,73.4,False,5308,55.0,1
+5706,33,Female,132,76,240,57,139,175,117,5.7,26.5,88,187,Non-Anginal Pain,False,0.5,True,Current,1.9,175,7.5,54.9,True,8270,54.7,0
+5707,36,Female,122,83,165,79,71,35,79,4.3,20.7,76,183,Non-Anginal Pain,False,0.2,True,Never,1.2,247,5.0,34.2,True,6141,77.4,0
+5708,70,Male,122,67,228,73,127,119,147,6.8,21.1,76,156,Atypical Angina,False,0.6,True,Current,10.7,259,8.2,28.9,True,8112,68.7,0
+5709,61,Female,142,91,152,34,114,115,101,5.5,27.6,83,162,Asymptomatic,True,0.9,False,Current,2.0,49,9.2,45.9,False,2723,52.1,1
+5710,35,Male,120,76,175,53,86,156,85,4.9,22.5,72,185,Asymptomatic,False,0.5,False,Former,4.5,144,5.9,57.4,False,6672,49.7,0
+5711,71,Male,148,97,193,52,109,147,121,6.4,29.0,75,159,Atypical Angina,False,0.2,True,Former,2.4,180,8.6,51.1,True,10731,72.9,0
+5712,49,Male,126,75,194,71,84,192,119,5.7,19.2,87,174,Typical Angina,False,0.3,False,Former,7.3,227,7.4,53.7,True,8961,45.2,0
+5713,70,Female,137,83,199,62,93,231,124,5.9,38.7,87,132,Asymptomatic,True,0.4,False,Former,9.3,68,6.7,61.1,False,6079,52.1,1
+5714,48,Female,130,81,148,60,85,95,71,4.5,24.1,88,170,Asymptomatic,False,0.5,True,Former,0.9,184,7.2,70.6,True,8488,53.3,0
+5715,69,Male,139,89,117,40,44,166,78,4.4,21.8,82,168,Typical Angina,False,0.6,True,Former,3.7,166,6.3,39.7,False,6036,45.5,0
+5716,64,Male,144,91,152,47,94,109,89,5.5,20.6,72,156,Non-Anginal Pain,False,0.7,False,Never,4.6,148,6.1,33.1,False,5927,56.0,0
+5717,48,Male,118,73,192,59,127,64,153,5.9,26.0,78,179,Non-Anginal Pain,False,1.2,False,Never,1.7,182,6.6,41.5,False,6534,49.0,0
+5718,48,Male,134,84,182,63,100,141,95,5.3,21.3,72,175,Asymptomatic,False,0.0,False,Former,3.8,65,6.5,44.1,True,7159,68.8,0
+5719,72,Male,124,85,158,32,113,74,119,5.5,24.2,91,106,Atypical Angina,True,4.3,False,Current,7.7,27,7.3,55.4,False,2357,42.8,1
+5720,59,Male,145,91,186,48,115,83,127,6.0,29.8,77,146,Asymptomatic,False,0.4,False,Current,9.9,133,8.9,62.2,False,7926,36.7,0
+5721,40,Male,110,70,209,69,113,159,119,5.4,18.2,81,185,Asymptomatic,False,1.1,False,Former,6.3,200,4.9,40.4,True,6265,65.8,0
+5722,41,Female,120,80,197,34,108,252,89,5.3,33.9,91,194,Asymptomatic,False,1.3,True,Current,1.0,175,8.0,7.8,True,7103,38.2,0
+5723,48,Male,122,82,182,53,84,209,121,5.8,32.5,77,184,Asymptomatic,False,0.9,True,Never,1.7,155,7.9,34.8,False,3430,77.0,0
+5724,52,Female,107,65,181,48,109,173,124,5.5,26.3,65,152,Atypical Angina,False,0.6,True,Former,5.8,121,7.9,30.3,False,5145,66.3,0
+5725,38,Male,121,73,145,53,87,44,112,5.8,21.0,71,190,Atypical Angina,False,0.5,False,Never,7.0,117,7.9,56.0,False,2079,53.0,0
+5726,76,Male,153,109,219,50,125,218,116,6.6,26.7,95,120,Asymptomatic,True,0.1,False,Current,3.1,61,6.2,51.5,False,4181,58.9,1
+5727,42,Male,143,93,206,56,122,189,94,5.3,30.0,77,169,Non-Anginal Pain,False,0.2,False,Current,8.9,200,7.8,54.9,False,4589,46.8,0
+5728,40,Female,142,97,160,43,99,157,139,6.1,27.1,74,174,Non-Anginal Pain,False,0.3,True,Never,16.9,70,6.8,52.0,False,4855,68.4,0
+5729,30,Male,98,67,202,66,91,218,118,6.1,25.4,80,209,Typical Angina,False,1.6,False,Never,8.9,223,4.4,53.1,False,7067,81.4,0
+5730,52,Male,123,77,203,73,104,103,112,5.9,26.5,69,192,Non-Anginal Pain,False,2.6,False,Never,7.7,239,5.4,76.2,True,7879,60.2,0
+5731,50,Male,125,66,177,51,92,128,115,6.1,31.2,84,170,Non-Anginal Pain,False,0.6,False,Never,1.9,138,7.7,32.9,True,3522,76.2,0
+5732,64,Female,145,95,223,70,110,196,113,5.5,21.3,84,177,Asymptomatic,False,0.3,False,Never,10.0,144,5.3,62.0,False,2805,46.2,0
+5733,48,Male,127,87,219,55,124,161,110,5.1,20.0,89,175,Asymptomatic,False,0.5,False,Current,19.0,203,7.0,64.5,True,9252,50.4,1
+5734,53,Female,125,82,232,60,152,84,99,6.1,22.8,74,161,Asymptomatic,False,1.4,False,Never,5.5,141,8.7,49.1,False,6787,72.6,0
+5735,52,Male,131,80,143,38,88,107,148,6.7,25.5,75,168,Non-Anginal Pain,False,1.3,False,Never,4.0,0,8.2,48.8,False,4914,40.0,1
+5736,54,Male,129,77,201,44,140,110,71,4.6,17.4,91,189,Non-Anginal Pain,False,0.9,False,Never,1.7,169,8.1,69.7,True,5482,68.5,0
+5737,49,Male,147,85,216,57,136,140,127,6.6,23.6,75,174,Asymptomatic,False,0.4,False,Current,3.6,155,7.2,19.7,False,6118,61.8,1
+5738,45,Male,119,78,141,36,84,140,155,6.7,36.7,91,143,Atypical Angina,False,1.6,False,Never,3.8,10,5.8,72.3,False,4614,75.6,1
+5739,56,Male,137,87,231,44,154,196,132,5.5,33.7,86,137,Atypical Angina,False,0.6,False,Current,4.2,141,6.1,72.9,True,6634,49.8,1
+5740,68,Female,148,90,139,63,65,100,113,5.5,25.6,82,143,Atypical Angina,False,0.1,False,Never,1.7,173,8.8,65.3,False,7242,69.2,1
+5741,87,Female,165,106,200,46,126,162,153,6.4,27.3,70,135,Asymptomatic,False,0.9,False,Former,0.2,198,7.4,45.5,True,5174,47.3,1
+5742,40,Male,118,80,162,42,74,261,102,5.1,23.6,85,195,Asymptomatic,False,1.7,False,Former,9.8,126,7.8,37.3,True,6527,71.1,0
+5743,42,Male,111,75,176,43,79,149,102,5.4,19.4,70,184,Asymptomatic,True,0.4,True,Former,6.1,239,6.5,27.7,True,9383,64.7,0
+5744,52,Female,130,93,185,61,89,123,114,5.3,29.5,82,174,Non-Anginal Pain,True,0.2,False,Never,3.0,137,5.8,52.3,True,5552,43.6,0
+5745,65,Female,134,90,182,58,107,135,93,5.6,26.7,76,147,Typical Angina,True,0.7,False,Never,10.9,190,8.7,63.6,False,7991,57.8,1
+5746,57,Male,121,72,219,70,142,35,126,5.7,21.1,92,166,Atypical Angina,False,1.7,False,Never,4.2,135,6.5,95.3,False,5351,66.3,0
+5747,46,Female,125,74,181,58,88,135,140,6.9,26.9,87,196,Asymptomatic,False,1.2,True,Never,9.3,117,7.4,41.0,True,8881,54.2,0
+5748,65,Male,101,70,135,73,46,144,101,5.3,16.8,74,174,Asymptomatic,False,0.2,False,Never,4.4,305,6.7,61.7,True,7599,54.0,0
+5749,37,Female,94,63,149,56,86,35,122,5.9,16.7,69,189,Atypical Angina,False,1.9,False,Current,0.5,300,8.4,68.6,True,7886,72.7,0
+5750,49,Male,122,81,208,65,132,62,79,4.4,28.8,82,182,Asymptomatic,False,0.5,False,Never,1.6,251,7.1,38.0,True,8893,84.5,0
+5751,43,Female,98,56,181,49,64,302,150,6.4,22.8,74,182,Asymptomatic,False,0.1,True,Never,0.4,245,6.7,52.9,True,12491,47.9,0
+5752,41,Female,110,81,136,66,49,136,105,5.7,17.8,75,183,Asymptomatic,False,0.4,True,Former,4.8,104,7.3,41.8,False,7595,89.4,0
+5753,37,Female,116,69,169,47,87,213,152,6.5,31.7,87,175,Asymptomatic,False,0.6,False,Current,18.9,245,5.1,33.9,False,3843,65.6,0
+5754,45,Male,124,70,179,51,103,140,163,6.5,26.5,68,180,Typical Angina,True,0.5,False,Never,6.3,169,7.1,32.7,True,6217,66.4,0
+5755,45,Male,121,66,158,32,83,124,125,5.9,24.7,79,161,Asymptomatic,False,0.2,True,Never,2.4,137,5.7,55.1,False,4627,38.1,1
+5756,34,Female,115,74,224,49,137,171,127,5.7,24.8,91,203,Asymptomatic,False,1.0,False,Never,1.0,19,6.1,48.7,False,2707,52.7,0
+5757,34,Male,124,88,211,62,112,178,116,5.7,20.0,88,174,Asymptomatic,False,0.3,False,Never,2.0,73,6.9,56.6,False,1572,45.7,0
+5758,44,Female,145,102,205,68,118,97,127,6.0,29.7,69,167,Asymptomatic,True,0.3,False,Former,1.1,132,6.7,39.1,True,7945,55.3,1
+5759,60,Male,126,70,182,48,77,255,115,5.3,23.0,73,143,Asymptomatic,False,1.1,False,Former,6.9,224,7.6,36.2,False,8486,55.4,0
+5760,38,Female,118,76,186,67,83,131,107,5.5,26.2,75,182,Asymptomatic,False,1.7,False,Never,2.3,186,8.1,47.7,False,5176,65.2,0
+5761,59,Male,137,91,150,45,84,145,117,5.2,23.4,93,168,Asymptomatic,False,0.7,True,Current,8.6,45,7.0,63.9,False,6367,69.2,0
+5762,54,Female,114,61,207,67,134,98,96,4.9,22.6,81,162,Asymptomatic,False,0.2,False,Former,2.7,158,6.7,50.9,False,5794,56.7,0
+5763,60,Female,119,74,231,73,134,163,136,6.5,22.0,91,162,Non-Anginal Pain,False,0.6,True,Never,11.5,133,7.0,43.7,False,6260,66.4,0
+5764,32,Male,136,86,147,52,65,177,93,5.4,25.9,91,207,Non-Anginal Pain,False,1.4,False,Former,23.2,101,5.9,42.2,True,8493,50.3,0
+5765,42,Female,111,72,189,67,90,143,92,5.0,29.0,78,173,Typical Angina,False,0.8,False,Never,2.9,290,6.3,50.5,False,5703,78.5,0
+5766,62,Female,132,80,155,50,89,137,114,5.1,26.4,82,141,Non-Anginal Pain,False,1.6,True,Never,0.9,122,8.0,81.0,False,7162,57.3,0
+5767,79,Male,129,82,203,55,111,204,128,6.2,28.3,83,150,Asymptomatic,False,3.0,False,Never,3.6,105,6.7,92.6,False,4686,58.6,0
+5768,45,Male,123,86,194,46,120,149,116,6.2,25.8,93,152,Asymptomatic,True,1.9,True,Former,5.7,160,6.0,51.6,False,4873,49.9,1
+5769,31,Female,122,83,224,80,92,187,132,6.0,22.9,76,170,Asymptomatic,False,0.9,True,Never,3.4,187,7.5,41.4,True,8145,53.2,0
+5770,58,Female,119,77,174,45,101,119,100,5.3,17.7,75,176,Asymptomatic,False,0.2,False,Never,0.1,167,8.9,66.6,True,11208,36.5,0
+5771,72,Male,128,73,197,50,99,185,115,5.6,23.6,97,168,Non-Anginal Pain,False,1.0,False,Never,1.8,163,8.5,44.7,True,5584,83.7,0
+5772,56,Male,115,73,122,36,81,35,102,5.2,23.6,78,155,Atypical Angina,False,0.1,True,Former,3.0,180,7.7,10.1,True,3587,57.7,0
+5773,45,Female,125,70,195,57,124,58,144,6.5,28.3,70,195,Asymptomatic,False,1.1,True,Former,4.3,283,7.1,38.6,True,8015,69.5,0
+5774,45,Female,151,93,168,37,94,195,131,5.5,30.0,84,168,Non-Anginal Pain,False,0.5,False,Former,2.6,128,6.6,59.4,True,6112,73.2,0
+5775,67,Female,122,72,199,61,120,171,107,6.0,28.4,83,147,Typical Angina,False,0.0,False,Never,3.5,62,6.4,45.2,True,4738,37.4,0
+5776,86,Female,150,81,221,54,109,265,125,5.9,27.4,82,112,Asymptomatic,False,3.2,True,Never,33.8,121,6.6,66.9,True,2984,37.2,1
+5777,72,Male,152,100,177,50,99,156,81,5.1,29.0,80,125,Atypical Angina,True,1.3,False,Never,9.8,0,9.6,51.5,False,4657,56.6,1
+5778,62,Female,136,101,179,66,83,145,87,5.2,20.1,78,139,Non-Anginal Pain,True,0.9,False,Never,22.4,132,4.5,47.4,True,7052,55.9,0
+5779,60,Female,108,78,150,69,35,249,87,5.1,18.2,92,163,Non-Anginal Pain,False,0.3,False,Never,4.6,159,6.9,59.2,False,6632,80.6,0
+5780,53,Male,123,81,195,36,139,78,139,6.7,29.8,83,155,Non-Anginal Pain,True,0.9,True,Current,3.3,109,8.1,26.8,False,5837,47.3,1
+5781,56,Male,135,103,209,40,121,271,133,6.4,31.0,92,159,Non-Anginal Pain,True,1.3,False,Never,5.3,0,8.4,39.6,False,7021,29.1,1
+5782,52,Female,148,98,197,63,109,104,128,6.1,24.6,74,167,Non-Anginal Pain,True,0.9,True,Never,3.2,115,6.7,70.9,True,3936,66.0,0
+5783,30,Female,110,79,192,79,99,100,83,4.6,22.5,78,177,Asymptomatic,False,0.9,True,Never,4.9,226,5.3,32.4,False,4534,78.8,0
+5784,23,Male,127,82,229,71,120,216,106,5.1,29.1,90,175,Non-Anginal Pain,False,0.0,True,Never,11.8,168,8.8,61.7,False,6637,25.1,0
+5785,60,Female,138,90,199,48,94,222,102,5.2,27.3,82,158,Asymptomatic,True,0.6,False,Current,2.8,86,8.7,38.9,True,7394,62.5,0
+5786,52,Female,145,89,180,68,83,165,133,6.5,21.9,82,160,Asymptomatic,True,0.7,True,Never,17.0,178,4.5,44.2,False,5032,64.1,1
+5787,45,Male,129,73,155,36,102,93,113,5.7,29.3,77,164,Typical Angina,False,0.3,True,Never,3.0,116,7.4,14.9,True,3671,64.4,1
+5788,56,Female,129,84,169,78,48,240,148,6.8,27.0,85,160,Asymptomatic,False,0.2,True,Never,13.8,134,6.8,63.5,False,5879,54.0,0
+5789,56,Male,122,74,202,53,123,183,184,6.7,18.3,71,149,Non-Anginal Pain,False,3.3,False,Former,7.7,233,7.5,38.8,True,8825,57.8,1
+5790,40,Female,129,92,181,50,118,38,133,5.7,22.5,61,196,Asymptomatic,False,0.8,False,Current,2.7,217,8.1,36.6,False,5509,54.8,0
+5791,38,Female,113,83,182,60,84,141,107,6.0,28.9,74,190,Typical Angina,False,0.6,False,Current,11.5,205,6.5,28.1,True,8274,46.3,0
+5792,63,Female,143,93,181,60,94,133,131,6.1,29.4,70,168,Asymptomatic,False,0.3,False,Former,2.7,173,6.4,34.3,False,4649,84.1,0
+5793,41,Female,137,88,172,55,85,171,135,5.7,25.8,90,167,Asymptomatic,False,0.8,False,Never,5.4,86,8.7,38.1,False,2805,70.1,0
+5794,55,Female,126,75,232,66,143,100,115,5.5,28.5,77,163,Asymptomatic,False,0.6,False,Former,1.4,102,8.2,64.0,False,4136,62.0,0
+5795,54,Male,143,88,189,62,95,128,88,4.7,29.1,88,154,Atypical Angina,False,1.8,False,Former,9.3,114,9.5,49.7,False,984,46.9,1
+5796,49,Male,122,78,228,45,159,190,115,5.8,32.3,93,155,Asymptomatic,False,0.7,True,Current,3.7,194,5.3,49.4,False,8904,48.2,1
+5797,50,Female,134,89,168,60,86,118,110,5.2,20.2,79,162,Asymptomatic,False,0.3,False,Current,2.3,72,6.2,77.0,False,5635,55.1,0
+5798,53,Female,131,72,195,30,137,123,130,5.7,35.5,97,180,Atypical Angina,False,0.3,False,Current,1.1,134,6.8,39.8,False,5292,24.1,0
+5799,52,Male,130,75,209,62,111,131,132,5.8,19.3,81,164,Non-Anginal Pain,False,1.4,True,Never,2.1,105,6.4,61.0,True,8633,80.8,1
+5800,38,Female,105,73,216,70,117,211,107,5.3,23.4,84,174,Asymptomatic,False,1.4,True,Never,1.4,54,8.0,61.3,False,5387,37.9,0
+5801,51,Female,137,84,229,64,131,191,95,5.5,31.1,84,179,Atypical Angina,True,0.5,False,Former,2.0,117,8.0,50.0,False,5826,52.8,0
+5802,62,Male,154,98,137,38,78,101,110,4.9,29.3,90,151,Asymptomatic,False,0.3,False,Former,3.3,0,8.0,49.0,False,4133,28.9,0
+5803,74,Female,135,84,197,78,72,202,112,5.3,31.8,98,140,Typical Angina,True,0.1,True,Former,5.6,70,7.1,82.9,False,5043,67.7,1
+5804,72,Female,147,95,186,41,117,181,115,5.7,22.9,76,163,Asymptomatic,False,0.3,False,Never,0.9,130,5.6,38.3,False,4338,76.1,0
+5805,22,Male,124,79,147,28,89,175,82,4.6,28.4,75,182,Asymptomatic,False,1.0,False,Former,6.2,109,7.0,43.2,False,7052,54.6,0
+5806,66,Male,126,82,144,58,62,145,105,5.0,23.2,72,147,Non-Anginal Pain,True,1.9,False,Never,7.9,106,7.0,53.5,False,5324,75.5,0
+5807,54,Female,140,95,222,73,113,133,63,4.1,26.4,92,174,Asymptomatic,False,0.2,True,Former,1.9,116,7.2,34.0,False,7067,58.9,0
+5808,39,Male,110,62,129,68,35,123,122,6.3,29.7,86,193,Typical Angina,False,0.1,False,Never,3.2,294,7.3,44.6,False,6791,88.3,0
+5809,51,Female,141,104,207,46,120,197,101,5.8,32.9,86,138,Asymptomatic,True,0.7,False,Former,24.5,94,7.7,65.4,False,6210,65.8,1
+5810,70,Male,128,80,166,60,63,194,107,5.3,26.9,79,153,Asymptomatic,False,2.5,False,Never,4.3,67,4.1,50.0,False,4535,92.1,0
+5811,56,Male,115,71,160,45,89,153,88,4.9,24.5,73,171,Non-Anginal Pain,False,0.5,False,Never,2.2,212,4.5,16.9,True,7764,52.0,0
+5812,48,Female,115,79,192,59,109,180,119,6.2,28.3,75,168,Non-Anginal Pain,False,0.7,False,Former,0.3,226,8.0,65.6,True,7124,47.4,0
+5813,43,Male,114,60,189,30,108,204,132,6.4,29.9,74,178,Non-Anginal Pain,False,0.5,False,Former,4.5,1,7.9,48.9,False,3461,61.0,0
+5814,51,Male,123,77,155,56,64,130,139,5.9,22.8,74,163,Asymptomatic,False,0.5,True,Never,5.4,129,6.7,41.9,False,5072,66.5,0
+5815,50,Female,122,78,249,72,148,133,104,5.3,20.8,81,141,Asymptomatic,False,0.4,False,Never,2.9,128,6.6,57.4,False,7153,71.8,1
+5816,41,Female,147,110,205,68,110,160,85,4.6,26.6,102,172,Asymptomatic,False,1.1,False,Former,1.0,151,6.2,38.5,False,7975,72.2,0
+5817,32,Female,131,79,201,69,117,73,133,6.0,21.8,82,161,Atypical Angina,True,1.6,False,Never,4.6,81,6.1,65.3,False,2130,52.0,1
+5818,41,Female,102,61,164,56,80,85,104,5.4,23.5,77,181,Non-Anginal Pain,False,0.6,False,Never,0.5,180,9.3,44.9,True,6770,68.2,0
+5819,57,Female,116,82,197,80,96,107,128,5.9,23.9,79,171,Asymptomatic,False,0.1,False,Never,8.8,183,7.0,37.5,True,2713,67.8,0
+5820,24,Male,113,68,292,67,185,119,86,4.3,26.0,80,207,Asymptomatic,False,0.4,False,Never,14.0,230,7.8,43.5,False,7384,54.7,0
+5821,40,Male,128,86,176,43,106,77,92,5.2,22.2,92,201,Asymptomatic,False,0.1,True,Never,3.8,63,6.9,28.4,False,4212,54.4,0
+5822,85,Male,143,83,138,42,54,234,131,5.9,22.6,78,129,Asymptomatic,False,1.9,True,Former,4.5,121,7.4,23.1,False,3287,69.8,0
+5823,60,Male,154,96,198,47,105,200,142,6.6,28.6,63,146,Asymptomatic,True,0.6,False,Never,26.3,167,9.2,62.4,False,10378,52.7,1
+5824,78,Female,127,85,249,63,119,284,142,6.6,26.2,74,129,Non-Anginal Pain,False,2.2,True,Current,20.4,154,4.9,58.2,True,6655,23.3,1
+5825,67,Male,123,59,211,61,124,35,82,5.6,23.7,76,147,Atypical Angina,True,3.5,False,Former,2.3,213,7.3,12.5,True,7800,69.0,1
+5826,67,Female,113,86,141,35,101,48,156,6.9,24.3,96,130,Typical Angina,False,1.2,False,Never,4.9,0,6.8,58.8,False,500,40.6,1
+5827,63,Male,134,89,162,68,49,204,138,6.4,18.9,72,167,Asymptomatic,False,0.5,False,Former,6.0,120,7.1,53.3,False,7961,65.1,0
+5828,46,Male,140,91,225,32,167,139,114,6.0,26.3,92,174,Asymptomatic,False,0.6,True,Former,6.9,16,6.4,50.3,False,2706,24.7,1
+5829,57,Female,127,75,205,65,99,206,119,5.8,19.3,69,165,Non-Anginal Pain,False,0.4,False,Former,5.2,134,5.4,45.9,True,6401,73.9,0
+5830,74,Male,149,102,218,46,146,104,120,5.4,25.0,76,153,Atypical Angina,False,1.6,False,Never,3.9,67,6.7,27.4,False,5873,71.3,1
+5831,57,Female,142,88,191,41,123,152,119,6.0,37.4,77,176,Asymptomatic,False,0.6,False,Never,6.9,79,6.5,57.8,False,4026,7.3,0
+5832,50,Male,140,79,154,40,97,75,119,6.0,29.9,73,192,Non-Anginal Pain,False,0.2,False,Current,3.4,249,6.7,60.3,False,6672,45.5,0
+5833,53,Female,119,81,181,60,88,129,85,5.2,19.0,81,157,Asymptomatic,False,1.6,False,Former,4.9,195,6.7,37.4,False,2985,66.6,0
+5834,73,Female,134,93,185,53,124,82,110,6.1,23.9,76,135,Non-Anginal Pain,False,0.3,True,Never,0.5,127,7.7,40.6,True,5755,53.3,1
+5835,37,Male,139,91,210,66,113,235,131,6.0,26.6,77,210,Atypical Angina,False,0.4,False,Never,14.0,269,7.1,50.9,True,11876,58.2,0
+5836,79,Male,134,80,159,56,79,188,115,5.8,26.0,99,153,Asymptomatic,False,1.6,True,Never,4.4,143,7.2,26.1,True,6773,50.2,1
+5837,50,Female,128,79,216,58,134,136,82,4.5,25.9,88,179,Asymptomatic,False,0.9,False,Former,0.5,122,7.4,43.5,False,8261,47.5,0
+5838,51,Female,101,66,219,68,109,139,119,5.8,19.5,77,187,Typical Angina,False,0.3,False,Former,3.7,91,6.7,36.4,False,7283,58.5,0
+5839,47,Female,123,67,173,56,91,153,112,6.0,30.7,98,191,Asymptomatic,True,0.5,True,Current,4.5,166,7.4,78.8,False,8733,43.9,0
+5840,56,Male,115,55,191,47,118,126,94,5.3,25.7,84,175,Atypical Angina,False,1.6,True,Former,7.6,132,7.5,36.0,False,5034,38.5,0
+5841,55,Male,137,83,198,44,97,204,147,6.0,28.1,89,143,Asymptomatic,False,0.2,True,Never,2.5,88,4.7,63.3,False,3921,26.2,1
+5842,59,Male,134,83,168,54,83,196,95,5.1,21.9,90,155,Typical Angina,False,0.2,False,Never,4.8,141,7.2,16.1,True,7212,73.6,0
+5843,48,Female,139,85,180,33,96,172,147,6.2,25.5,104,170,Atypical Angina,False,1.2,False,Current,4.8,120,6.0,45.5,False,6263,46.6,0
+5844,39,Male,115,72,154,70,69,122,133,5.8,20.4,78,204,Asymptomatic,False,0.5,False,Never,3.7,174,6.9,52.4,False,1189,68.6,0
+5845,45,Female,120,76,174,50,102,140,103,5.2,25.8,73,171,Asymptomatic,False,1.2,True,Never,2.3,163,6.5,66.6,False,6632,62.9,0
+5846,40,Male,122,73,133,74,35,163,83,4.8,20.0,66,185,Asymptomatic,True,1.2,False,Former,6.2,188,6.6,27.6,True,8545,81.2,0
+5847,35,Female,131,75,141,37,89,119,131,6.1,28.7,72,192,Asymptomatic,False,1.0,False,Current,0.6,139,7.4,45.6,True,7929,81.5,0
+5848,59,Male,149,93,189,50,88,212,83,4.8,21.8,91,160,Asymptomatic,True,0.8,False,Current,2.4,205,8.0,11.5,True,5996,53.8,0
+5849,60,Female,121,73,248,66,135,215,96,4.9,18.1,71,151,Non-Anginal Pain,False,0.5,False,Never,0.3,99,6.4,49.6,True,3947,36.7,0
+5850,30,Female,123,77,206,56,115,192,134,6.8,26.1,82,193,Asymptomatic,False,1.0,False,Former,1.7,131,7.9,31.3,True,10146,47.5,0
+5851,38,Male,136,82,176,42,99,165,106,5.7,29.0,87,188,Asymptomatic,False,0.8,False,Former,4.1,67,8.5,0.0,False,3944,47.5,0
+5852,67,Female,137,85,167,37,105,150,155,6.3,33.7,90,171,Non-Anginal Pain,True,2.1,False,Current,8.0,36,6.7,48.0,False,1417,53.0,1
+5853,61,Female,123,76,151,60,67,123,116,5.3,22.7,69,153,Atypical Angina,True,0.4,True,Former,1.3,177,5.3,56.5,False,3995,63.9,1
+5854,70,Male,126,79,241,46,165,191,109,5.6,27.2,78,132,Non-Anginal Pain,True,0.5,False,Never,6.0,0,4.5,52.0,False,2304,48.4,1
+5855,42,Male,110,68,219,62,107,169,114,4.9,24.3,78,174,Typical Angina,True,0.1,False,Never,4.4,243,7.8,31.5,True,10349,55.5,0
+5856,22,Female,133,77,235,78,132,106,115,5.6,21.7,89,192,Asymptomatic,False,0.0,True,Former,7.7,100,7.2,70.7,False,3125,61.9,0
+5857,31,Female,133,74,190,40,95,223,111,5.2,30.6,81,200,Non-Anginal Pain,True,1.1,False,Never,1.2,133,6.9,41.2,True,9469,47.8,0
+5858,58,Male,130,79,201,60,109,221,123,5.6,22.6,79,174,Asymptomatic,False,0.8,False,Current,23.5,147,6.3,47.9,True,6922,40.2,0
+5859,36,Female,140,84,205,46,126,164,103,5.7,28.1,87,155,Asymptomatic,True,0.9,False,Never,3.0,0,6.8,60.2,False,5934,55.8,1
+5860,73,Male,118,86,231,58,144,137,148,6.4,20.3,73,162,Non-Anginal Pain,False,1.4,True,Former,4.9,217,6.6,45.0,True,7293,51.5,0
+5861,53,Female,131,85,186,56,120,100,166,6.7,25.4,79,150,Asymptomatic,True,1.8,True,Never,4.2,169,6.2,49.3,False,3212,50.9,1
+5862,59,Female,141,88,211,58,95,267,113,5.5,24.0,71,163,Asymptomatic,False,1.7,True,Never,3.1,186,6.0,12.5,True,8412,42.3,0
+5863,62,Male,132,86,191,68,89,155,157,6.7,28.0,79,128,Asymptomatic,True,1.1,False,Never,2.9,35,6.4,74.4,False,3194,77.0,1
+5864,68,Female,107,62,189,71,90,165,94,5.2,17.9,80,157,Asymptomatic,False,0.6,True,Former,8.1,201,6.5,52.3,True,8341,64.5,0
+5865,55,Male,132,97,195,46,126,118,164,6.3,26.0,84,176,Asymptomatic,False,0.9,False,Never,2.2,145,6.5,44.2,False,2574,55.8,0
+5866,59,Female,126,83,152,72,58,93,112,6.2,20.5,82,146,Atypical Angina,False,0.5,False,Never,4.2,130,6.4,28.9,False,6239,62.7,0
+5867,29,Male,113,72,150,19,82,243,85,5.0,26.8,74,202,Asymptomatic,False,0.6,False,Former,2.0,180,9.0,2.8,False,7913,56.3,0
+5868,39,Male,127,90,120,37,52,134,104,5.3,24.5,76,184,Asymptomatic,False,2.3,True,Never,5.8,191,6.5,48.0,False,6068,72.6,0
+5869,59,Female,121,80,199,85,109,120,125,5.9,23.8,72,154,Asymptomatic,False,0.2,True,Never,2.5,225,5.9,38.9,True,7498,58.9,0
+5870,55,Male,109,77,193,41,105,203,91,5.2,20.0,76,143,Asymptomatic,False,2.4,True,Never,19.8,204,8.3,59.6,False,6853,45.9,1
+5871,48,Female,110,80,135,64,52,119,104,5.7,24.3,99,179,Typical Angina,False,0.7,True,Never,5.2,174,6.4,64.9,False,3562,68.5,0
+5872,43,Female,136,101,195,61,102,138,78,5.0,24.7,81,155,Asymptomatic,True,6.5,True,Never,3.6,184,5.4,53.5,True,7526,54.4,1
+5873,63,Male,150,96,151,53,53,240,116,5.8,25.8,67,155,Non-Anginal Pain,False,0.6,False,Never,3.1,152,9.6,31.2,False,834,87.4,1
+5874,56,Male,135,89,203,71,97,152,113,5.7,22.0,86,165,Non-Anginal Pain,False,0.2,True,Former,3.2,120,7.2,67.1,True,5747,39.0,0
+5875,48,Female,114,74,212,68,127,163,144,6.6,22.6,90,190,Typical Angina,False,0.1,False,Never,1.9,167,5.3,49.1,False,5354,46.2,0
+5876,80,Male,142,91,136,46,57,162,102,5.9,22.6,85,153,Atypical Angina,True,0.4,False,Never,15.7,133,5.0,38.3,True,5875,54.3,1
+5877,50,Male,136,93,281,83,147,243,168,7.1,26.4,87,161,Typical Angina,False,4.2,False,Current,3.0,145,7.6,40.8,False,6447,57.8,1
+5878,44,Female,119,74,218,39,116,268,90,5.0,32.0,80,178,Asymptomatic,False,0.7,False,Current,9.9,58,7.9,33.5,False,5189,34.2,0
+5879,70,Male,122,90,226,52,119,171,137,5.9,26.2,82,193,Asymptomatic,False,0.5,False,Never,5.9,153,7.8,36.0,True,7326,73.2,0
+5880,41,Male,122,75,169,53,114,112,157,6.9,30.8,90,200,Asymptomatic,False,0.0,True,Never,1.5,104,7.9,46.7,False,2854,67.7,0
+5881,44,Female,127,80,196,74,80,205,105,5.6,26.4,76,190,Asymptomatic,False,0.6,False,Never,2.9,211,7.0,18.7,True,7519,49.6,0
+5882,58,Female,130,88,209,64,95,165,119,6.1,30.0,84,167,Asymptomatic,False,1.4,False,Former,0.1,135,6.6,59.8,False,5803,69.7,0
+5883,76,Male,137,83,203,54,116,162,131,5.6,23.1,84,109,Asymptomatic,False,0.6,False,Never,6.4,103,6.1,65.5,False,2458,49.7,1
+5884,48,Male,130,83,174,48,91,125,105,5.7,22.0,68,188,Non-Anginal Pain,False,0.8,False,Never,1.5,192,6.2,19.1,False,5946,57.5,0
+5885,26,Male,135,93,181,36,123,103,124,5.8,29.5,74,173,Typical Angina,False,0.8,False,Former,1.7,95,8.4,52.2,False,8223,52.9,1
+5886,69,Male,134,81,189,75,93,180,172,7.9,31.1,81,144,Asymptomatic,True,0.8,True,Never,10.1,144,5.3,27.6,True,5930,55.2,1
+5887,53,Female,116,64,199,59,130,74,111,5.4,26.9,70,173,Typical Angina,False,1.7,False,Never,16.2,169,4.8,25.3,False,7336,56.4,0
+5888,66,Female,139,96,235,55,136,197,144,6.6,23.5,82,122,Atypical Angina,False,0.5,False,Never,2.0,125,4.6,76.2,False,8331,61.2,1
+5889,60,Male,141,85,291,54,190,154,102,5.5,23.1,74,140,Asymptomatic,False,1.0,False,Former,3.6,133,8.7,59.3,True,9865,52.9,1
+5890,71,Female,125,72,136,60,55,82,96,5.9,15.6,82,150,Asymptomatic,False,0.7,False,Never,5.7,0,7.9,60.4,False,3235,74.3,0
+5891,55,Male,136,87,105,36,41,162,112,5.7,29.4,79,172,Atypical Angina,False,0.9,True,Former,4.4,111,6.0,43.3,True,8775,62.1,0
+5892,30,Female,98,59,230,68,152,105,97,4.7,20.0,94,210,Typical Angina,False,0.2,False,Current,1.3,262,9.0,35.2,True,9168,62.2,0
+5893,52,Female,117,82,182,63,107,99,99,5.9,23.5,76,190,Typical Angina,False,2.0,True,Former,0.8,183,7.7,25.2,True,7363,71.3,0
+5894,74,Male,118,63,175,57,90,135,133,6.3,18.8,72,151,Non-Anginal Pain,False,0.4,False,Never,2.2,164,8.2,79.2,True,5063,70.0,0
+5895,77,Female,142,84,226,62,144,148,98,5.0,19.1,68,133,Typical Angina,False,0.3,False,Never,1.2,197,7.0,49.1,True,3662,82.8,0
+5896,69,Male,118,80,172,46,89,212,111,5.4,24.9,76,147,Asymptomatic,False,2.2,False,Current,7.1,0,7.6,71.7,False,1971,37.5,1
+5897,57,Male,124,78,192,48,116,120,110,5.6,27.3,73,132,Asymptomatic,False,2.1,False,Former,4.8,106,5.9,52.6,True,5590,50.7,1
+5898,39,Male,104,60,165,52,78,178,128,5.9,21.4,73,195,Asymptomatic,False,1.0,False,Never,3.3,240,7.0,30.5,True,7678,56.6,0
+5899,74,Female,134,78,240,60,152,97,104,5.5,23.8,91,126,Atypical Angina,True,2.1,True,Never,1.2,48,8.0,64.5,False,7514,75.8,1
+5900,40,Female,111,57,220,85,94,239,127,5.5,23.6,73,195,Asymptomatic,False,0.2,False,Never,2.9,233,8.0,39.6,True,10097,50.1,0
+5901,54,Female,131,75,157,61,59,153,131,6.3,24.5,82,179,Asymptomatic,False,0.5,True,Never,3.4,126,6.5,32.0,False,4476,57.3,0
+5902,50,Female,128,90,215,72,106,165,83,4.7,18.6,78,174,Asymptomatic,False,0.2,False,Former,3.1,198,7.0,71.3,True,10726,40.6,0
+5903,60,Female,124,91,146,56,76,134,120,5.4,26.0,70,173,Non-Anginal Pain,False,1.3,False,Never,0.3,333,5.6,40.0,True,9332,87.9,0
+5904,62,Female,102,68,141,78,56,83,106,5.7,20.5,58,170,Non-Anginal Pain,False,0.1,False,Never,3.6,237,7.4,43.9,True,7341,89.2,0
+5905,90,Male,154,96,210,63,134,109,92,5.3,22.8,61,163,Non-Anginal Pain,False,1.3,False,Never,3.3,139,7.6,38.2,True,7300,41.4,0
+5906,74,Male,145,84,227,64,126,136,133,6.0,27.8,78,135,Asymptomatic,False,1.3,True,Never,5.1,180,6.7,46.2,True,8921,51.1,0
+5907,53,Male,115,64,186,47,79,258,155,6.8,21.8,95,148,Typical Angina,False,1.4,False,Never,29.3,105,5.5,81.6,False,5443,48.1,1
+5908,50,Male,115,87,182,75,92,117,117,6.0,26.4,83,179,Atypical Angina,False,0.6,False,Never,1.8,217,6.5,38.2,False,2448,65.4,0
+5909,38,Male,123,80,217,62,125,151,126,6.2,23.6,95,175,Typical Angina,True,0.7,False,Current,4.5,158,6.8,56.7,False,6910,79.2,1
+5910,64,Male,144,86,198,67,101,127,140,5.8,28.3,84,149,Asymptomatic,False,0.0,False,Former,5.4,116,8.8,58.8,True,6985,45.1,0
+5911,30,Male,116,81,174,72,71,125,167,6.7,24.5,73,190,Non-Anginal Pain,True,1.3,True,Never,10.3,135,9.1,61.6,True,7045,55.5,0
+5912,34,Female,144,89,222,60,105,256,111,5.7,29.8,84,180,Non-Anginal Pain,False,1.9,False,Never,35.4,146,6.6,63.5,False,4237,42.2,0
+5913,52,Female,140,76,195,72,82,192,142,5.8,38.2,82,130,Typical Angina,False,1.0,False,Former,14.7,126,8.3,50.2,True,6028,72.4,1
+5914,57,Female,120,72,231,75,111,176,157,6.8,21.5,82,139,Non-Anginal Pain,False,2.7,False,Former,1.9,0,6.2,73.8,False,5355,44.1,1
+5915,48,Female,130,76,183,52,102,136,113,5.6,30.5,86,175,Asymptomatic,False,0.4,True,Current,0.7,159,6.6,24.1,False,7661,31.3,0
+5916,63,Male,138,93,166,42,93,131,156,6.9,25.9,101,176,Asymptomatic,False,0.3,False,Never,9.6,153,5.6,56.5,True,7289,38.9,0
+5917,48,Female,122,63,190,62,108,70,85,4.9,16.9,90,170,Typical Angina,False,0.3,True,Never,8.6,121,9.0,77.1,False,4560,51.5,0
+5918,73,Male,125,80,199,48,99,197,133,6.1,29.0,88,145,Atypical Angina,True,2.2,False,Former,3.8,46,6.7,57.6,True,6069,56.5,1
+5919,60,Male,139,89,196,57,113,132,128,6.0,18.8,86,168,Asymptomatic,False,1.3,True,Never,5.4,132,8.7,66.0,True,5471,60.5,0
+5920,49,Male,126,86,182,47,128,47,106,5.6,23.7,86,194,Non-Anginal Pain,True,0.8,False,Never,4.6,147,7.7,65.4,False,3007,59.3,0
+5921,42,Female,118,72,219,65,121,143,120,5.8,17.1,87,187,Non-Anginal Pain,False,0.2,False,Current,3.6,64,7.9,44.3,True,8621,64.0,0
+5922,78,Male,140,78,216,41,139,187,132,6.3,30.6,85,136,Asymptomatic,False,3.8,False,Current,5.3,202,7.2,81.1,False,6002,52.6,1
+5923,48,Male,119,84,195,28,139,117,138,6.3,33.2,85,144,Asymptomatic,True,1.6,False,Never,3.6,159,6.3,43.8,True,8493,43.9,1
+5924,33,Male,106,68,158,57,75,135,94,5.9,18.2,92,210,Typical Angina,False,1.0,False,Never,6.1,213,4.6,37.5,False,5540,67.8,0
+5925,63,Female,137,87,114,26,64,107,122,5.9,26.1,74,158,Typical Angina,False,0.2,False,Former,5.2,153,8.2,53.1,False,5487,58.9,0
+5926,46,Male,119,78,183,50,93,188,78,4.9,25.8,74,182,Asymptomatic,False,0.5,False,Former,1.6,158,6.7,33.3,True,9503,57.5,0
+5927,85,Male,166,96,205,47,115,132,100,5.0,30.9,81,112,Asymptomatic,True,0.2,False,Current,4.6,32,8.5,26.7,False,5922,61.8,1
+5928,47,Male,121,84,180,46,97,216,125,6.4,28.9,81,165,Asymptomatic,False,0.6,False,Current,6.7,116,7.4,34.6,False,6586,64.6,0
+5929,36,Female,122,80,199,59,109,172,65,4.3,25.2,87,205,Asymptomatic,False,0.5,False,Never,17.6,197,7.9,72.4,True,8040,60.6,0
+5930,33,Male,119,85,190,49,116,114,108,4.8,24.5,72,161,Atypical Angina,True,0.4,True,Former,6.3,214,7.2,25.4,True,7336,37.6,1
+5931,28,Male,99,68,181,63,91,130,134,6.3,23.6,78,170,Non-Anginal Pain,False,0.4,False,Former,5.3,154,7.2,43.0,True,5869,54.6,0
+5932,64,Male,128,85,161,43,86,118,98,5.6,20.7,75,138,Asymptomatic,False,0.2,False,Current,3.8,147,7.1,59.3,False,6747,58.7,0
+5933,79,Female,145,96,199,40,113,242,162,6.5,35.7,92,131,Asymptomatic,False,1.2,False,Current,0.7,94,5.4,48.9,False,6552,64.2,1
+5934,57,Male,156,87,234,38,145,246,98,5.0,31.8,85,136,Asymptomatic,True,0.6,False,Current,3.2,163,4.4,47.6,False,7683,61.5,1
+5935,50,Female,131,96,205,62,132,92,175,6.4,26.8,79,167,Atypical Angina,True,0.5,True,Never,1.7,120,6.1,79.4,True,9013,53.1,0
+5936,40,Male,85,58,158,64,66,103,125,6.0,18.7,74,177,Typical Angina,False,0.4,False,Never,3.1,209,6.7,50.6,True,6272,37.6,0
+5937,64,Male,103,69,164,54,80,102,83,5.1,23.2,89,158,Asymptomatic,False,2.6,False,Never,1.7,56,5.2,61.6,False,2964,73.1,0
+5938,37,Female,122,75,226,74,123,122,98,5.6,27.3,88,191,Non-Anginal Pain,False,0.2,False,Never,2.6,215,7.0,56.1,True,8152,59.8,0
+5939,46,Female,140,87,186,40,121,211,118,5.7,30.0,85,177,Asymptomatic,False,0.5,True,Current,0.3,62,7.3,65.5,True,7015,40.1,0
+5940,50,Male,142,92,192,72,89,131,87,5.3,27.7,82,169,Asymptomatic,False,1.7,False,Former,3.9,143,6.9,56.3,True,6719,59.6,0
+5941,69,Female,144,91,189,53,94,231,107,5.8,25.8,70,146,Asymptomatic,False,0.3,False,Former,11.4,176,6.5,42.1,False,7811,56.1,0
+5942,64,Male,122,74,181,47,110,184,117,5.5,27.8,56,179,Asymptomatic,False,4.6,True,Never,10.0,96,5.9,36.9,True,4836,76.3,0
+5943,73,Male,136,85,202,47,136,115,120,6.1,24.3,90,122,Asymptomatic,False,0.4,False,Never,1.6,43,7.5,87.9,False,1821,73.0,1
+5944,85,Female,167,111,205,52,102,192,90,4.7,29.5,71,129,Atypical Angina,True,0.4,False,Current,4.1,62,4.9,69.1,True,6236,49.9,1
+5945,52,Male,126,87,238,61,141,140,73,4.7,26.3,73,189,Asymptomatic,False,0.2,False,Never,4.0,145,7.6,13.6,False,1776,62.3,0
+5946,81,Male,130,69,176,65,106,116,147,6.4,22.5,66,172,Atypical Angina,False,0.9,False,Former,2.1,89,7.4,45.1,True,4919,83.2,0
+5947,75,Male,128,87,164,60,70,167,115,6.1,26.9,68,121,Non-Anginal Pain,False,2.4,True,Never,3.0,2,6.4,46.2,False,5476,30.8,1
+5948,58,Male,133,81,210,55,105,248,166,6.6,31.9,73,175,Asymptomatic,True,0.7,False,Never,2.7,92,6.1,31.4,False,3627,49.0,0
+5949,74,Male,125,73,254,60,162,197,160,7.3,32.1,77,143,Non-Anginal Pain,False,0.4,True,Former,1.9,89,5.3,28.7,False,3671,56.0,0
+5950,68,Female,128,72,231,74,127,158,145,6.1,25.3,89,127,Asymptomatic,False,0.2,True,Former,0.0,29,6.7,60.3,False,500,64.7,1
+5951,77,Female,126,70,219,57,121,166,126,6.2,26.6,90,142,Asymptomatic,False,1.7,False,Never,9.6,0,7.9,25.7,False,2402,45.0,0
+5952,21,Male,116,78,175,60,73,170,93,4.8,25.2,75,210,Non-Anginal Pain,False,1.7,False,Never,8.6,161,6.0,55.1,False,3663,80.5,0
+5953,42,Male,128,81,188,60,113,127,92,4.5,19.0,66,188,Non-Anginal Pain,False,0.9,False,Former,2.4,213,6.0,46.7,True,8148,53.6,0
+5954,37,Female,140,86,168,85,74,92,119,5.9,25.6,75,196,Asymptomatic,False,1.2,False,Former,0.3,195,6.7,56.9,False,4548,68.7,0
+5955,58,Female,126,73,209,58,108,240,139,6.3,25.2,92,167,Non-Anginal Pain,False,0.0,False,Former,2.0,207,6.8,45.4,True,8086,47.1,0
+5956,58,Female,107,68,177,45,118,112,87,4.8,23.6,75,182,Non-Anginal Pain,False,0.9,False,Current,1.4,141,7.0,73.0,False,6015,35.0,0
+5957,37,Female,109,76,189,90,74,100,76,5.1,22.0,69,181,Typical Angina,True,2.4,False,Former,14.0,238,8.9,49.8,True,8647,75.1,0
+5958,45,Male,128,82,189,57,84,176,149,6.7,25.9,89,196,Asymptomatic,False,1.4,True,Never,1.8,196,7.0,38.6,False,5239,47.9,0
+5959,56,Male,143,85,160,38,93,143,74,4.7,29.2,69,149,Atypical Angina,True,1.7,False,Former,2.7,165,7.7,58.2,True,7478,46.4,1
+5960,52,Male,122,92,214,43,104,263,108,5.1,34.4,85,176,Atypical Angina,False,0.4,False,Current,8.6,147,7.8,52.3,False,2371,72.5,0
+5961,54,Male,142,93,226,53,138,155,143,6.2,32.5,89,160,Asymptomatic,False,0.4,True,Never,5.2,55,7.6,84.9,False,4352,61.8,1
+5962,49,Female,127,69,188,49,84,185,101,5.5,31.0,81,172,Typical Angina,False,0.7,True,Never,0.5,162,6.5,52.7,True,6520,73.3,0
+5963,38,Female,110,69,142,73,45,162,83,5.1,22.0,70,194,Asymptomatic,False,0.7,False,Never,7.5,292,6.7,49.9,False,6115,74.9,0
+5964,62,Female,143,83,248,60,150,130,102,5.6,25.9,80,149,Non-Anginal Pain,False,1.5,False,Never,2.6,177,7.8,42.4,True,9155,71.6,0
+5965,36,Female,98,64,155,63,97,49,80,4.9,17.8,83,200,Non-Anginal Pain,False,2.2,False,Never,3.8,192,6.1,62.4,True,8735,71.8,0
+5966,65,Male,130,76,157,35,84,153,146,6.1,22.8,78,164,Non-Anginal Pain,False,0.8,False,Never,2.3,0,8.2,56.1,False,2107,37.4,0
+5967,57,Male,118,76,228,53,137,233,113,4.9,22.2,86,162,Atypical Angina,False,1.3,True,Current,13.5,192,6.4,39.0,False,5598,69.1,1
+5968,66,Male,117,84,190,60,108,157,93,4.6,23.1,89,156,Asymptomatic,False,0.1,True,Never,1.6,194,5.8,95.6,False,7829,79.4,0
+5969,66,Male,124,88,169,53,85,126,155,6.5,24.5,92,149,Typical Angina,False,1.1,False,Never,3.7,133,7.1,36.1,False,6098,74.6,0
+5970,34,Male,117,72,176,63,106,35,103,5.5,22.8,51,182,Asymptomatic,False,0.3,True,Never,8.3,198,6.2,10.6,False,6477,58.8,0
+5971,38,Female,110,71,153,64,85,56,78,4.3,15.0,64,195,Asymptomatic,True,0.7,False,Never,0.6,310,6.9,24.2,False,5042,67.6,0
+5972,22,Male,117,82,157,71,35,163,129,6.2,21.4,72,209,Non-Anginal Pain,False,1.0,False,Former,2.0,167,6.4,56.2,False,7338,82.2,0
+5973,34,Female,112,74,166,59,69,168,95,4.5,21.7,68,184,Non-Anginal Pain,False,0.7,False,Never,3.3,159,6.6,62.9,True,7583,49.7,0
+5974,39,Female,114,65,188,70,77,215,82,4.5,29.0,76,182,Non-Anginal Pain,False,1.1,False,Never,0.4,179,7.3,40.9,False,4157,76.7,0
+5975,65,Female,116,73,196,55,110,157,116,6.2,21.9,94,158,Asymptomatic,False,0.9,False,Never,2.1,88,7.0,41.2,True,9433,45.7,0
+5976,61,Female,117,62,162,66,77,162,160,6.6,28.6,90,174,Asymptomatic,False,0.8,False,Never,5.1,194,7.2,69.1,True,10867,66.9,0
+5977,30,Male,130,79,198,71,78,145,100,5.5,20.8,76,198,Asymptomatic,False,0.9,False,Never,11.7,163,9.4,47.2,True,9185,67.7,0
+5978,63,Female,166,95,231,65,137,172,60,4.0,28.3,90,151,Atypical Angina,False,0.1,True,Current,6.0,205,5.9,63.3,False,6490,49.2,0
+5979,46,Female,140,92,177,44,120,113,166,7.1,26.3,90,160,Atypical Angina,False,2.0,False,Current,14.4,38,8.1,40.2,False,5308,44.4,1
+5980,56,Male,120,92,140,48,74,79,174,7.5,24.7,64,177,Asymptomatic,True,0.8,False,Former,2.5,150,7.7,81.0,False,3607,47.3,1
+5981,54,Female,112,77,178,67,68,185,67,4.6,28.3,78,157,Atypical Angina,False,0.5,False,Current,1.6,217,7.2,30.0,True,4816,78.4,0
+5982,50,Male,116,71,180,43,103,213,149,6.4,28.0,84,156,Asymptomatic,False,0.1,False,Never,2.0,87,5.7,55.9,True,8122,79.0,0
+5983,69,Male,105,60,157,48,105,73,107,5.8,25.2,87,166,Typical Angina,False,0.5,False,Never,2.2,143,7.1,38.7,False,5373,77.2,0
+5984,34,Female,133,82,227,74,104,215,143,6.7,31.4,79,203,Atypical Angina,False,0.4,True,Never,6.6,202,7.0,44.1,False,4627,78.2,0
+5985,61,Male,122,71,160,46,69,196,120,5.6,20.7,82,151,Non-Anginal Pain,False,0.2,False,Never,7.4,202,7.5,54.1,True,9585,70.0,0
+5986,72,Male,146,82,152,64,63,104,138,6.5,19.0,83,152,Atypical Angina,False,0.1,False,Never,9.6,98,6.9,73.9,False,7110,86.3,0
+5987,49,Female,129,80,184,63,88,128,122,6.4,26.6,89,198,Asymptomatic,True,0.1,False,Former,1.8,153,8.0,57.4,False,8613,64.0,0
+5988,46,Female,124,83,120,60,40,118,142,6.5,24.5,83,163,Non-Anginal Pain,False,0.2,True,Former,2.9,116,8.4,34.8,True,6457,84.7,0
+5989,41,Male,129,85,186,62,103,149,107,5.5,17.5,78,178,Asymptomatic,False,0.0,False,Former,1.9,136,9.1,51.8,True,9070,79.3,0
+5990,57,Male,113,79,202,50,117,193,130,6.0,22.3,86,153,Asymptomatic,False,0.7,False,Never,12.0,130,5.8,0.0,False,5696,38.0,0
+5991,58,Male,139,87,192,68,62,259,106,5.4,21.3,80,147,Asymptomatic,True,0.6,False,Never,22.7,161,8.2,47.3,True,3753,45.6,0
+5992,58,Female,106,75,175,73,67,195,95,5.2,22.7,78,147,Asymptomatic,False,0.5,False,Current,2.2,255,5.1,53.5,True,8320,89.8,0
+5993,24,Female,112,81,181,66,91,140,139,6.6,26.6,80,210,Asymptomatic,False,0.5,False,Never,0.6,271,7.0,58.6,True,10960,83.0,0
+5994,75,Female,136,87,167,61,96,50,107,5.7,28.6,87,115,Asymptomatic,True,1.8,True,Former,3.8,127,6.3,70.9,False,5379,73.0,1
+5995,65,Female,146,92,232,66,148,79,109,5.6,22.1,88,142,Atypical Angina,False,0.8,False,Never,2.9,145,5.4,30.2,False,4613,69.2,0
+5996,51,Female,128,82,159,71,86,94,95,4.8,20.2,74,177,Non-Anginal Pain,False,0.2,False,Former,3.5,257,7.3,51.8,True,9574,54.6,0
+5997,61,Female,116,66,188,46,105,203,135,6.0,28.5,80,149,Typical Angina,True,2.8,False,Former,0.1,112,6.6,28.2,False,3622,54.4,1
+5998,36,Male,115,75,185,43,95,223,119,6.4,32.0,94,179,Asymptomatic,False,0.5,True,Never,7.5,147,5.4,12.4,False,8723,46.5,1
+5999,59,Male,116,64,221,53,142,161,87,5.0,22.4,82,157,Atypical Angina,False,0.4,False,Current,3.4,112,5.6,59.6,False,5543,53.2,0
+6000,44,Female,114,65,234,78,127,153,130,6.5,24.2,75,185,Non-Anginal Pain,False,0.8,True,Never,0.9,76,7.3,30.4,True,9277,49.3,0
+6001,59,Male,118,66,170,37,78,190,105,5.2,27.3,67,155,Atypical Angina,False,1.1,False,Never,4.5,175,7.0,51.3,True,4608,63.6,1
+6002,40,Male,105,74,216,63,120,144,86,5.1,25.1,75,156,Typical Angina,True,0.2,False,Never,3.8,174,8.8,51.4,True,9731,61.1,1
+6003,48,Female,125,76,191,49,106,181,160,7.3,26.0,87,150,Atypical Angina,False,0.3,False,Never,21.8,31,6.8,37.1,False,5003,50.0,1
+6004,60,Male,116,69,248,52,151,166,133,6.0,22.1,96,162,Asymptomatic,True,2.6,True,Current,1.9,212,7.2,45.0,True,8718,54.6,1
+6005,46,Male,121,78,168,40,111,133,122,5.8,20.9,77,196,Asymptomatic,False,2.5,False,Current,12.6,165,7.4,54.7,False,7044,91.9,0
+6006,56,Female,121,78,164,72,67,62,112,5.8,27.4,90,180,Asymptomatic,True,0.9,True,Never,4.5,112,6.2,48.1,False,6051,79.1,0
+6007,52,Female,114,72,208,51,134,73,129,5.8,25.2,78,164,Non-Anginal Pain,False,0.3,True,Never,0.9,187,7.8,10.8,True,8522,44.2,0
+6008,71,Female,138,83,246,70,140,167,143,6.5,28.6,71,136,Asymptomatic,True,1.2,True,Former,4.6,209,7.3,33.8,True,5978,67.0,1
+6009,64,Male,153,106,263,49,163,227,141,6.6,31.7,74,144,Asymptomatic,False,0.1,False,Former,25.7,136,7.2,80.3,False,5644,61.3,0
+6010,56,Female,156,94,250,53,154,153,132,6.3,29.5,96,144,Non-Anginal Pain,True,4.5,True,Current,0.4,68,5.1,56.2,False,2737,67.2,1
+6011,84,Female,130,78,200,74,90,179,137,7.1,26.4,89,113,Asymptomatic,False,1.0,True,Never,2.5,174,7.8,58.6,False,4143,61.5,1
+6012,58,Female,119,76,184,56,118,61,98,5.2,29.2,71,174,Asymptomatic,False,0.6,True,Never,8.0,161,7.1,46.0,True,6924,63.1,0
+6013,46,Female,115,81,192,84,86,134,94,5.6,24.4,79,188,Asymptomatic,True,0.8,False,Current,1.2,119,7.1,91.4,False,2124,39.7,0
+6014,77,Male,161,99,169,53,97,35,113,5.5,18.4,77,117,Atypical Angina,True,0.9,False,Former,3.9,230,7.5,61.3,True,5807,62.5,1
+6015,49,Female,136,70,214,50,129,145,99,5.0,29.1,74,192,Asymptomatic,False,0.3,False,Never,6.0,151,9.2,46.0,True,8079,61.8,0
+6016,49,Female,125,77,245,38,145,264,114,5.6,32.9,90,184,Asymptomatic,False,0.5,False,Former,2.1,147,6.8,31.3,False,7509,34.2,0
+6017,41,Female,147,92,177,67,91,86,117,5.6,30.0,101,188,Asymptomatic,False,0.8,True,Never,0.9,164,5.7,63.3,True,9552,67.5,0
+6018,52,Female,130,87,186,74,95,87,123,6.1,18.9,77,164,Non-Anginal Pain,False,0.1,False,Never,1.8,36,6.3,28.4,False,4276,63.2,0
+6019,64,Male,130,88,234,83,103,165,119,5.9,24.8,64,153,Non-Anginal Pain,True,0.3,False,Never,3.1,203,7.9,32.0,True,6396,63.7,0
+6020,30,Female,122,76,128,54,63,78,111,5.6,20.5,92,195,Non-Anginal Pain,False,0.2,False,Former,3.8,108,5.9,78.1,False,4482,50.2,0
+6021,52,Male,125,81,188,44,118,145,155,6.8,30.9,83,144,Non-Anginal Pain,False,1.7,True,Former,8.8,142,6.1,40.4,False,7869,84.8,1
+6022,33,Female,118,79,138,63,35,180,97,5.0,27.5,70,184,Asymptomatic,False,0.1,False,Current,2.5,278,5.8,42.0,True,8291,40.6,0
+6023,71,Female,142,91,153,32,97,103,130,5.8,19.1,97,159,Asymptomatic,False,0.6,False,Never,5.4,41,4.8,71.3,False,4032,44.1,1
+6024,54,Male,131,77,177,44,111,118,105,5.8,39.1,88,158,Asymptomatic,False,3.7,False,Never,9.1,138,7.3,59.3,False,4018,72.4,0
+6025,72,Female,121,80,187,52,108,106,116,5.8,23.3,83,169,Non-Anginal Pain,False,2.2,False,Current,1.9,117,7.4,27.8,False,5255,36.1,0
+6026,52,Female,152,96,144,52,89,47,100,5.1,20.5,77,157,Asymptomatic,False,0.5,False,Never,3.2,107,8.4,43.6,False,4152,89.5,0
+6027,31,Male,123,86,189,51,91,170,93,5.1,32.4,77,186,Non-Anginal Pain,True,1.1,False,Never,4.6,40,6.2,61.0,False,9398,52.1,0
+6028,48,Female,132,71,148,36,63,227,81,5.5,29.6,83,166,Asymptomatic,False,0.5,True,Never,0.4,50,7.7,55.3,False,3137,72.2,1
+6029,90,Male,136,83,202,53,116,149,184,7.5,27.8,80,129,Atypical Angina,False,3.6,True,Current,1.7,59,9.4,42.9,False,6998,42.2,1
+6030,54,Female,144,95,210,47,119,218,114,6.3,33.9,79,167,Typical Angina,True,1.4,False,Former,1.3,0,8.1,54.6,False,3312,36.7,0
+6031,68,Female,135,93,172,53,79,140,93,5.5,23.4,89,174,Asymptomatic,True,0.3,True,Never,3.2,85,6.9,62.2,False,4987,73.1,0
+6032,42,Female,109,67,159,45,90,117,141,6.2,20.3,81,190,Non-Anginal Pain,False,1.3,False,Never,2.5,133,6.9,56.7,False,6034,67.8,0
+6033,48,Male,119,84,232,65,123,227,122,6.4,22.5,96,191,Asymptomatic,True,0.6,False,Never,12.3,28,7.1,42.1,False,4797,75.2,0
+6034,65,Male,128,82,234,50,148,215,135,6.7,36.5,106,136,Asymptomatic,True,0.1,False,Current,1.6,52,6.5,56.0,False,3757,52.5,1
+6035,71,Female,156,104,202,56,116,162,127,6.6,34.0,98,152,Non-Anginal Pain,False,0.0,False,Former,11.5,98,6.8,56.4,True,6883,45.6,1
+6036,68,Male,134,86,188,38,121,128,149,6.5,26.1,77,141,Atypical Angina,False,2.4,False,Never,2.6,124,7.5,62.9,False,5579,61.6,1
+6037,40,Female,129,91,247,73,115,241,146,5.8,26.6,92,175,Atypical Angina,False,0.5,True,Never,15.3,109,5.9,53.9,True,5482,58.3,0
+6038,32,Female,105,66,252,71,150,177,153,7.2,24.4,88,174,Asymptomatic,False,0.2,False,Current,4.6,158,8.5,44.1,False,7259,76.0,0
+6039,34,Female,103,64,161,55,75,153,111,5.2,23.3,75,182,Typical Angina,False,0.1,False,Former,3.5,174,6.7,47.9,True,3871,56.9,0
+6040,43,Male,120,64,185,54,90,199,124,6.1,29.2,84,197,Non-Anginal Pain,False,2.0,False,Never,9.2,181,7.4,72.0,False,6943,68.8,0
+6041,48,Male,108,66,203,53,113,169,91,5.4,21.2,73,182,Asymptomatic,False,2.2,False,Current,5.1,232,5.9,65.6,True,6376,46.0,0
+6042,60,Male,152,100,237,61,143,194,136,6.0,33.0,87,145,Typical Angina,False,1.7,False,Former,7.8,131,8.3,44.5,True,5905,68.0,1
+6043,29,Male,112,71,159,44,73,167,133,6.1,24.9,86,201,Atypical Angina,False,0.2,False,Never,2.2,118,7.0,55.4,False,4682,56.6,0
+6044,34,Female,130,91,162,61,76,175,105,5.3,24.0,76,196,Atypical Angina,False,0.3,False,Never,2.7,161,6.0,41.5,False,5629,57.3,0
+6045,57,Male,141,100,208,64,122,196,135,6.3,21.2,86,154,Atypical Angina,False,1.7,True,Former,5.7,205,6.1,33.4,True,8868,50.3,1
+6046,53,Female,116,82,157,57,74,115,129,5.8,19.4,81,173,Non-Anginal Pain,False,0.5,False,Never,3.5,200,5.8,53.9,True,6626,20.6,0
+6047,48,Male,122,68,153,50,86,63,114,6.1,25.0,80,173,Asymptomatic,False,0.2,True,Former,8.8,117,7.9,65.5,True,4312,68.4,0
+6048,77,Female,146,78,241,64,134,183,137,6.5,28.5,80,138,Asymptomatic,False,2.2,False,Former,3.4,129,6.1,26.3,False,7491,45.2,1
+6049,40,Male,109,66,199,62,102,173,71,4.0,19.2,81,199,Typical Angina,False,0.5,True,Never,2.3,332,7.0,62.9,True,10265,62.0,0
+6050,65,Male,131,101,143,51,98,37,139,5.9,26.7,78,157,Asymptomatic,False,3.9,False,Never,8.4,180,5.3,36.4,False,8884,76.5,1
+6051,55,Female,124,74,230,79,114,130,148,6.7,30.2,87,149,Atypical Angina,True,0.0,False,Never,1.7,151,7.2,41.5,True,8203,67.1,0
+6052,49,Male,142,97,235,46,148,236,130,5.8,27.1,80,165,Asymptomatic,False,0.1,False,Former,4.0,231,7.6,81.2,False,5013,74.3,0
+6053,42,Female,106,68,205,62,109,172,131,6.1,24.8,66,177,Typical Angina,False,0.6,False,Former,4.1,164,7.2,41.7,True,9647,58.9,0
+6054,30,Female,123,80,209,63,132,78,117,6.1,26.4,76,208,Atypical Angina,True,2.6,True,Never,5.4,145,8.4,42.8,False,2694,81.7,0
+6055,36,Male,109,71,199,39,132,136,111,5.5,19.5,94,169,Typical Angina,True,1.9,False,Current,10.6,149,6.0,27.5,True,9522,49.5,1
+6056,48,Male,143,101,157,46,79,148,80,4.6,17.8,76,168,Atypical Angina,False,0.3,False,Current,2.5,261,9.7,58.4,True,7292,59.5,0
+6057,42,Female,111,74,214,77,110,132,109,5.5,19.0,75,185,Asymptomatic,False,2.0,False,Never,2.6,132,6.5,35.2,False,5828,96.2,0
+6058,43,Female,121,75,161,42,99,149,102,5.1,17.9,81,172,Non-Anginal Pain,False,4.1,False,Current,3.8,138,8.0,43.8,False,3772,51.3,0
+6059,51,Male,131,84,163,55,80,115,125,6.0,30.2,85,167,Asymptomatic,True,0.4,False,Never,9.9,81,8.2,18.3,False,6337,49.8,0
+6060,70,Female,150,100,165,61,85,119,87,4.8,27.5,82,159,Asymptomatic,False,0.9,True,Never,1.6,183,6.3,91.8,False,4303,57.2,0
+6061,60,Female,136,92,195,45,94,258,103,5.4,25.7,94,156,Typical Angina,False,0.2,False,Current,1.6,56,8.0,33.9,True,6114,53.8,0
+6062,53,Male,138,88,177,48,78,271,96,5.2,29.8,75,173,Non-Anginal Pain,False,0.8,False,Never,7.8,248,7.1,64.6,False,8497,82.7,0
+6063,40,Male,142,83,226,48,133,189,146,6.4,25.2,93,181,Atypical Angina,True,1.2,True,Never,1.6,47,8.3,73.9,False,6681,44.3,0
+6064,50,Male,140,87,243,54,121,346,91,5.0,32.2,72,197,Atypical Angina,False,1.8,False,Never,14.7,310,7.7,23.4,True,8567,70.4,0
+6065,57,Female,98,59,212,66,139,36,99,5.3,20.0,79,171,Asymptomatic,False,0.6,True,Former,9.5,274,5.3,28.3,True,7451,67.0,0
+6066,43,Male,130,89,173,40,116,137,123,5.3,30.5,82,177,Non-Anginal Pain,True,1.0,True,Former,1.9,171,6.6,70.9,False,7866,31.7,0
+6067,59,Male,127,65,195,34,146,113,114,6.2,28.2,104,134,Asymptomatic,False,4.2,True,Never,1.8,106,5.3,38.5,True,5251,43.3,1
+6068,53,Male,140,89,174,61,80,185,136,6.3,25.8,77,168,Atypical Angina,False,0.3,False,Never,3.5,182,6.8,54.8,True,8681,57.5,0
+6069,60,Female,148,79,193,53,101,225,125,6.1,27.3,92,155,Non-Anginal Pain,True,1.6,False,Current,3.7,128,5.6,60.2,False,4929,45.8,1
+6070,90,Male,156,99,233,64,130,162,115,5.7,23.4,80,115,Asymptomatic,False,0.6,True,Former,3.5,90,5.9,70.8,True,5481,53.5,1
+6071,56,Female,130,89,190,60,101,145,113,5.6,25.4,70,172,Non-Anginal Pain,False,0.8,False,Former,0.1,114,7.1,31.7,True,6125,52.3,0
+6072,59,Male,148,84,190,49,109,176,115,5.6,31.6,100,183,Non-Anginal Pain,False,0.7,True,Never,8.9,133,6.2,49.2,False,1652,59.3,0
+6073,49,Female,137,86,213,76,95,188,101,5.1,36.0,89,166,Non-Anginal Pain,False,0.9,False,Former,0.7,68,7.4,56.1,False,4080,56.7,0
+6074,64,Male,136,77,207,66,97,135,70,4.5,24.6,80,157,Asymptomatic,False,0.9,False,Former,2.3,209,6.8,69.9,True,9416,92.8,0
+6075,44,Male,113,78,179,51,88,156,115,5.2,21.0,71,176,Atypical Angina,False,0.0,False,Never,2.6,133,5.7,67.4,True,3611,48.5,0
+6076,55,Male,132,80,203,51,121,180,139,6.4,26.7,87,158,Asymptomatic,False,0.1,False,Former,11.4,64,6.8,51.6,False,3603,69.1,0
+6077,29,Male,138,95,231,55,115,281,134,6.9,36.8,63,204,Non-Anginal Pain,False,1.7,False,Never,2.7,265,6.2,34.8,False,9624,56.2,0
+6078,76,Male,132,83,130,40,69,136,124,5.9,17.7,80,149,Asymptomatic,False,0.4,True,Never,1.6,255,5.8,18.4,True,7751,51.9,0
+6079,67,Female,139,95,163,46,104,46,140,6.4,27.3,88,158,Asymptomatic,False,1.1,False,Never,3.2,89,7.6,24.6,False,2113,70.0,0
+6080,40,Female,129,86,171,57,92,92,112,5.9,27.1,66,178,Asymptomatic,False,1.9,False,Never,6.4,115,8.4,17.2,False,4381,67.4,0
+6081,74,Male,148,88,161,38,89,165,84,5.1,24.2,85,128,Typical Angina,False,0.5,False,Never,7.6,38,9.1,47.8,True,2119,52.3,1
+6082,57,Male,141,91,183,52,97,180,121,5.8,23.3,77,163,Asymptomatic,True,0.2,False,Former,6.7,18,6.8,67.2,False,500,54.7,0
+6083,62,Male,142,90,134,40,59,197,126,6.5,26.5,73,166,Asymptomatic,False,0.3,False,Former,11.7,153,6.4,52.0,False,6855,71.1,0
+6084,56,Male,127,74,202,69,106,195,92,5.0,24.0,85,172,Asymptomatic,False,0.2,False,Current,3.3,176,6.8,12.3,True,8590,71.1,0
+6085,51,Female,107,73,193,53,104,169,107,5.7,17.7,80,177,Non-Anginal Pain,False,1.2,False,Never,12.1,15,6.4,66.5,False,1738,32.8,0
+6086,65,Female,123,71,149,53,93,85,180,7.5,27.6,83,157,Asymptomatic,True,1.3,False,Former,1.5,65,7.0,29.6,False,3021,47.0,0
+6087,49,Male,138,81,201,61,115,128,147,6.1,24.6,78,184,Typical Angina,False,0.3,True,Never,1.7,134,5.5,50.0,True,4811,57.3,0
+6088,39,Female,122,81,221,76,125,101,119,5.7,15.0,82,187,Asymptomatic,False,0.7,False,Never,0.1,176,6.4,48.5,False,8664,70.8,0
+6089,71,Male,157,95,226,59,130,132,118,5.7,20.6,77,129,Atypical Angina,False,2.5,True,Never,9.2,111,7.5,67.0,False,4272,62.7,1
+6090,53,Male,122,69,255,69,137,280,140,6.0,26.4,81,152,Atypical Angina,False,0.9,False,Never,19.3,249,7.0,63.6,False,10306,41.9,0
+6091,65,Female,144,86,222,65,118,174,154,6.8,28.2,82,136,Asymptomatic,True,0.2,False,Never,13.3,130,7.6,62.0,True,4122,75.0,1
+6092,53,Female,110,77,209,44,135,129,116,5.5,17.1,73,154,Atypical Angina,True,0.9,True,Current,2.6,77,4.1,42.9,False,5633,48.0,1
+6093,65,Male,140,78,165,27,113,176,136,6.4,21.6,65,162,Asymptomatic,True,0.2,False,Never,6.0,176,5.0,33.4,False,5638,66.9,0
+6094,31,Male,133,72,198,49,127,163,133,6.1,26.6,86,177,Typical Angina,False,1.3,True,Current,3.8,48,6.2,72.9,False,2961,57.8,1
+6095,64,Female,130,93,205,50,122,182,141,6.0,31.6,84,134,Asymptomatic,False,1.4,False,Never,3.0,23,7.3,58.8,False,6240,56.7,1
+6096,59,Male,151,100,190,20,133,156,142,7.2,31.2,89,142,Asymptomatic,True,0.6,True,Current,5.7,10,7.7,53.5,False,6049,56.2,1
+6097,43,Male,110,68,149,51,97,119,78,4.9,16.5,86,179,Atypical Angina,False,0.4,False,Former,5.9,186,7.6,34.2,True,8535,57.7,0
+6098,63,Male,116,71,157,55,88,187,123,6.5,21.0,68,146,Typical Angina,False,0.8,False,Never,18.5,268,9.4,44.7,True,10054,74.8,0
+6099,63,Female,139,92,184,51,107,129,111,6.1,24.4,76,145,Atypical Angina,False,0.5,True,Never,1.5,148,4.3,48.6,True,9187,75.9,0
+6100,55,Male,117,76,201,55,98,223,125,6.1,21.8,82,151,Typical Angina,True,1.5,False,Current,1.8,138,5.3,48.3,True,6506,67.9,1
+6101,65,Male,140,91,216,44,133,185,112,5.6,25.6,83,118,Typical Angina,False,1.5,False,Never,6.2,59,8.0,79.8,False,4518,42.7,1
+6102,44,Male,121,69,207,68,92,167,135,6.5,18.6,70,186,Asymptomatic,False,0.5,False,Never,8.8,208,6.2,66.6,True,8541,55.3,0
+6103,41,Female,102,58,135,45,65,155,110,5.4,24.1,94,174,Atypical Angina,False,0.5,True,Former,5.0,125,10.3,46.0,True,13576,54.0,0
+6104,34,Female,126,74,178,59,115,35,82,4.7,23.6,71,203,Asymptomatic,False,0.7,False,Never,7.9,183,5.9,45.4,True,7096,70.7,0
+6105,61,Male,122,78,180,50,122,88,170,7.4,26.8,81,146,Asymptomatic,False,1.8,True,Never,3.0,62,7.1,53.4,False,3394,54.2,1
+6106,57,Male,109,83,200,39,150,48,116,5.7,28.2,90,153,Non-Anginal Pain,False,0.1,True,Former,2.3,112,7.4,37.3,False,6714,70.1,1
+6107,32,Female,130,81,200,70,103,129,133,5.8,31.4,81,191,Asymptomatic,False,0.8,False,Current,2.4,187,6.8,62.8,False,5843,48.3,0
+6108,63,Female,131,77,226,58,115,186,129,6.0,21.9,85,161,Asymptomatic,False,0.3,False,Former,7.9,139,8.6,50.1,True,6953,83.3,0
+6109,66,Female,132,74,220,56,140,112,136,6.0,29.9,76,117,Asymptomatic,True,3.4,False,Never,6.1,48,8.0,50.6,True,5982,69.4,1
+6110,80,Female,145,91,191,54,84,194,146,7.0,33.1,96,133,Atypical Angina,True,2.4,False,Never,4.6,0,6.4,60.9,False,1975,75.9,1
+6111,54,Male,103,63,162,56,109,43,98,5.5,22.9,79,168,Atypical Angina,False,1.5,False,Former,3.0,86,6.6,40.0,False,5073,75.4,0
+6112,75,Male,139,83,174,67,74,174,89,5.2,28.8,83,146,Non-Anginal Pain,False,0.3,False,Never,7.3,207,9.5,53.1,True,9040,61.8,0
+6113,34,Male,117,80,208,45,112,200,129,5.9,37.0,91,178,Non-Anginal Pain,False,0.6,False,Former,4.7,58,6.1,42.8,False,2383,44.1,0
+6114,70,Male,140,99,159,35,97,117,101,5.7,23.3,84,150,Atypical Angina,False,0.9,False,Current,3.5,75,9.0,28.3,True,4408,58.2,0
+6115,67,Male,141,95,205,59,123,175,178,7.9,31.2,85,162,Non-Anginal Pain,True,0.7,True,Never,6.5,38,8.2,36.8,False,4072,31.9,1
+6116,51,Male,129,81,213,64,102,231,104,5.7,27.7,83,183,Asymptomatic,False,0.4,False,Never,8.8,68,8.4,55.3,False,6206,45.5,0
+6117,65,Male,128,77,195,51,110,150,134,6.5,28.1,76,141,Typical Angina,False,3.5,False,Never,1.5,65,6.2,47.5,False,2608,64.7,1
+6118,26,Male,118,72,196,82,98,174,132,6.5,34.3,87,194,Asymptomatic,False,0.6,False,Never,5.2,130,6.8,87.2,False,6067,32.0,0
+6119,55,Female,133,86,216,48,141,104,101,5.3,25.9,91,142,Asymptomatic,False,0.5,True,Current,2.1,48,7.0,41.4,False,1724,44.3,1
+6120,60,Female,138,88,212,58,133,111,101,5.3,23.2,82,172,Asymptomatic,False,1.2,False,Never,0.0,118,8.3,60.3,True,5743,79.0,0
+6121,55,Male,121,51,160,30,78,215,118,5.7,26.2,84,158,Typical Angina,False,0.3,False,Former,2.7,77,9.4,63.4,True,6296,44.6,1
+6122,65,Female,126,98,192,62,114,79,113,5.5,27.9,81,141,Asymptomatic,False,0.4,False,Former,2.6,95,8.4,49.9,False,5981,70.7,1
+6123,64,Male,150,94,183,40,99,177,138,6.4,23.0,82,155,Asymptomatic,False,0.3,False,Never,12.0,81,7.2,79.7,True,6041,52.2,0
+6124,35,Male,125,88,154,49,72,197,104,5.2,22.8,85,201,Atypical Angina,False,0.3,False,Never,8.6,133,9.7,72.0,False,6058,87.9,0
+6125,60,Female,133,81,142,50,93,73,152,6.7,20.6,87,164,Asymptomatic,False,0.1,False,Never,0.2,94,5.8,44.6,False,3855,70.4,0
+6126,45,Male,106,72,187,61,80,199,131,5.9,20.6,81,176,Asymptomatic,False,0.4,False,Never,1.6,230,6.5,47.8,False,9086,51.5,0
+6127,69,Male,118,65,203,46,116,171,129,5.7,24.9,78,142,Asymptomatic,False,0.4,False,Never,15.0,100,8.6,35.7,True,9158,42.8,1
+6128,58,Male,145,78,200,44,115,255,120,6.0,29.9,90,141,Non-Anginal Pain,True,3.8,False,Never,3.5,105,7.8,83.9,False,5787,42.4,1
+6129,67,Female,128,84,215,94,70,182,90,5.5,19.6,79,130,Typical Angina,False,0.2,False,Never,3.6,291,8.7,53.1,True,5908,75.6,0
+6130,87,Male,145,99,223,50,143,212,134,6.7,21.8,88,115,Asymptomatic,False,2.5,False,Never,5.7,59,4.5,60.5,False,7162,46.4,1
+6131,71,Male,141,80,202,42,125,139,115,5.1,24.1,89,151,Atypical Angina,False,5.1,True,Current,6.8,135,8.4,61.4,False,3716,60.1,1
+6132,26,Male,120,89,232,55,124,215,144,6.9,22.7,70,184,Asymptomatic,False,0.5,False,Never,2.0,201,6.3,58.8,False,5710,45.5,0
+6133,39,Male,113,72,189,45,101,180,132,5.9,24.2,85,149,Asymptomatic,True,3.1,False,Never,6.2,79,7.8,38.8,False,6543,59.3,1
+6134,55,Male,133,89,169,51,93,117,112,5.7,16.1,79,151,Asymptomatic,True,1.8,False,Never,3.2,186,6.4,54.6,False,5891,57.0,1
+6135,59,Male,133,84,181,57,91,123,120,5.5,16.1,84,178,Asymptomatic,False,0.5,False,Never,6.5,166,7.7,65.8,True,7466,56.3,0
+6136,56,Female,132,76,188,60,115,79,89,5.3,21.4,87,163,Typical Angina,False,0.2,False,Never,2.8,158,7.8,49.5,True,4400,82.3,0
+6137,54,Female,163,94,291,71,171,152,108,5.8,26.9,71,163,Atypical Angina,True,3.2,False,Former,4.2,185,7.1,50.9,True,8585,62.6,1
+6138,66,Male,147,95,170,55,78,129,103,5.2,18.9,72,130,Asymptomatic,False,1.1,False,Former,13.7,136,7.3,56.9,False,4459,73.9,0
+6139,44,Female,110,66,200,62,118,102,134,6.0,21.9,87,174,Asymptomatic,False,2.3,False,Never,0.2,178,6.7,56.5,False,5369,47.5,0
+6140,60,Male,128,78,122,65,54,36,154,6.6,25.8,78,182,Atypical Angina,False,0.7,False,Never,13.6,205,9.3,65.0,True,8548,69.7,0
+6141,49,Male,127,73,196,67,101,142,79,4.6,20.5,64,184,Asymptomatic,False,0.8,False,Never,2.6,203,7.1,38.0,True,4761,81.9,0
+6142,69,Male,117,71,123,46,69,117,144,6.9,16.3,80,144,Atypical Angina,False,2.8,False,Never,12.5,104,6.6,11.3,False,2646,52.8,1
+6143,57,Female,132,76,230,77,114,164,120,5.7,23.1,97,152,Asymptomatic,False,1.6,False,Former,1.7,185,7.5,36.0,True,7322,48.1,0
+6144,41,Male,112,65,130,29,111,35,174,7.5,25.4,82,162,Asymptomatic,True,3.8,False,Never,5.5,0,7.2,90.5,False,1547,55.3,1
+6145,41,Male,143,80,238,70,157,151,148,6.3,22.6,79,176,Asymptomatic,False,0.6,False,Never,12.6,124,4.7,51.4,False,8882,64.9,0
+6146,81,Male,150,92,177,64,83,151,110,5.8,27.6,74,126,Typical Angina,False,0.9,False,Former,4.2,148,6.4,64.5,False,4448,42.9,1
+6147,63,Female,145,92,180,59,99,141,137,6.3,25.1,100,140,Atypical Angina,False,0.5,False,Former,4.7,38,5.6,50.3,False,1983,63.4,0
+6148,65,Female,115,70,256,97,144,118,99,4.7,18.1,86,157,Non-Anginal Pain,True,0.1,False,Former,0.6,136,8.6,26.8,True,9154,35.7,0
+6149,48,Male,137,71,151,60,54,205,160,7.0,31.2,85,172,Typical Angina,True,0.9,False,Never,5.6,168,6.6,46.5,False,3765,49.9,0
+6150,49,Female,112,71,176,63,93,86,118,5.8,24.4,80,168,Typical Angina,True,0.2,False,Never,0.3,173,8.0,31.1,True,2673,80.9,0
+6151,27,Male,127,84,194,45,103,192,136,6.4,31.9,68,206,Typical Angina,False,1.1,True,Former,1.7,161,6.1,59.5,True,10622,43.3,0
+6152,65,Male,130,84,199,40,116,203,151,6.5,30.1,87,149,Non-Anginal Pain,False,0.3,False,Never,2.5,166,8.2,44.3,True,6160,64.5,0
+6153,54,Male,121,81,191,54,106,192,80,5.2,19.7,90,178,Non-Anginal Pain,True,0.3,False,Current,7.3,222,7.4,42.1,True,5052,68.0,0
+6154,70,Male,117,83,210,48,130,164,119,5.7,19.6,77,149,Non-Anginal Pain,False,0.6,False,Current,11.5,200,9.4,44.5,True,8689,72.4,0
+6155,72,Female,155,93,238,39,152,269,131,6.6,24.6,76,148,Atypical Angina,True,0.2,True,Never,0.8,91,6.4,43.5,False,5074,48.5,1
+6156,56,Male,144,98,195,28,154,135,139,6.2,26.9,76,142,Atypical Angina,True,0.7,False,Never,2.7,28,5.1,32.8,False,6979,71.3,1
+6157,60,Female,114,71,197,60,111,117,164,7.3,26.3,81,135,Typical Angina,True,1.0,False,Never,1.0,166,6.8,33.1,True,5620,62.5,1
+6158,69,Female,143,90,213,75,118,80,132,5.9,26.0,88,162,Non-Anginal Pain,False,0.8,False,Never,1.7,108,8.1,91.6,True,3567,63.3,0
+6159,49,Female,130,62,203,68,122,70,93,4.9,17.0,88,151,Asymptomatic,False,0.2,True,Current,5.0,212,6.3,54.9,False,7354,68.4,0
+6160,66,Male,123,90,193,40,132,195,134,6.3,24.0,76,146,Non-Anginal Pain,False,0.9,False,Current,2.8,222,7.5,29.3,True,6240,71.6,1
+6161,30,Male,142,83,202,70,111,116,109,5.2,26.3,82,188,Asymptomatic,False,0.2,False,Never,7.6,180,6.4,33.5,True,9150,47.7,0
+6162,62,Female,160,95,200,68,101,117,107,6.6,26.1,71,161,Atypical Angina,False,0.3,False,Never,0.1,89,6.9,34.4,False,7105,46.8,0
+6163,51,Male,145,85,251,55,157,207,90,5.0,29.3,71,178,Asymptomatic,False,0.0,False,Never,1.9,102,5.8,39.0,False,6278,53.2,0
+6164,56,Female,133,78,187,68,99,144,140,6.6,24.7,96,189,Atypical Angina,False,0.1,False,Current,6.4,104,7.4,64.2,False,2833,43.5,0
+6165,41,Male,132,74,172,65,73,211,101,5.1,25.1,87,194,Asymptomatic,False,0.1,False,Former,2.2,123,6.4,69.5,False,7489,60.8,0
+6166,43,Female,129,75,189,58,67,255,115,5.7,26.9,77,171,Asymptomatic,False,1.5,False,Never,6.9,62,7.3,55.6,False,6901,64.4,0
+6167,46,Male,113,85,98,47,35,92,111,5.9,21.5,67,183,Asymptomatic,False,1.4,False,Never,3.3,107,6.4,47.4,False,6174,98.2,0
+6168,54,Female,140,105,191,70,93,124,122,5.6,26.9,65,179,Asymptomatic,False,1.4,False,Never,5.8,320,7.9,49.8,True,7692,69.8,0
+6169,43,Male,127,76,180,66,79,137,128,5.4,18.6,74,175,Non-Anginal Pain,False,1.9,False,Never,11.6,164,7.0,28.4,False,4899,60.8,0
+6170,34,Male,122,88,177,54,106,135,117,5.8,23.6,71,189,Atypical Angina,False,0.0,False,Never,3.2,129,7.0,47.4,False,8964,47.8,0
+6171,80,Female,138,68,179,33,125,98,119,5.9,31.7,81,144,Asymptomatic,False,1.4,False,Former,5.0,111,6.8,37.9,False,4190,63.2,1
+6172,62,Male,140,93,234,53,142,250,138,6.3,27.8,99,148,Asymptomatic,False,2.9,False,Former,8.0,130,5.7,74.1,False,3395,37.5,1
+6173,42,Female,129,83,177,71,68,188,113,5.6,19.4,76,184,Asymptomatic,False,1.8,False,Former,5.6,96,6.4,38.8,True,8590,65.3,0
+6174,49,Female,128,75,196,74,83,162,91,4.5,26.4,75,181,Non-Anginal Pain,True,0.2,False,Former,13.9,178,5.5,55.4,True,7059,66.3,0
+6175,53,Female,109,68,156,51,84,116,130,5.3,20.1,89,190,Non-Anginal Pain,False,1.4,False,Current,3.4,176,8.3,64.2,False,6712,80.7,0
+6176,60,Male,127,82,210,40,118,239,86,5.4,23.1,82,162,Atypical Angina,False,0.6,False,Former,12.6,166,7.7,4.3,False,5664,46.2,0
+6177,41,Male,134,77,124,55,53,117,109,5.6,21.4,73,197,Atypical Angina,False,0.2,False,Never,2.7,155,5.4,35.9,False,7316,75.4,0
+6178,44,Male,121,78,187,42,105,128,76,4.9,24.5,82,186,Asymptomatic,False,2.9,False,Former,6.3,26,6.9,47.1,False,3570,61.4,0
+6179,64,Male,139,100,219,45,129,248,117,5.8,34.1,85,137,Asymptomatic,False,3.5,False,Current,3.5,104,7.4,58.4,False,7699,56.0,1
+6180,89,Female,163,108,227,52,121,195,110,5.5,29.3,69,121,Asymptomatic,True,6.1,False,Never,13.2,194,6.5,60.1,True,8543,68.3,1
+6181,64,Female,135,79,224,56,121,200,159,6.7,23.6,87,136,Asymptomatic,False,0.6,False,Former,6.1,11,5.0,91.1,False,500,56.7,1
+6182,54,Female,103,65,197,57,119,128,115,5.3,19.2,78,157,Asymptomatic,False,0.2,True,Never,28.0,147,7.2,26.7,False,7206,46.6,0
+6183,37,Male,133,113,164,44,106,166,130,6.2,26.2,86,175,Asymptomatic,False,3.3,False,Current,9.2,115,7.5,35.6,False,5869,48.4,1
+6184,62,Female,115,66,217,62,122,228,111,5.7,15.0,75,149,Asymptomatic,False,0.1,True,Never,11.4,203,9.3,47.1,False,7093,44.0,0
+6185,40,Male,119,84,168,73,79,131,84,4.9,25.2,73,193,Typical Angina,False,1.7,False,Never,2.7,116,5.7,21.9,True,6325,78.4,0
+6186,67,Male,136,101,210,56,134,138,111,6.2,27.9,91,133,Non-Anginal Pain,True,1.9,True,Former,4.9,88,5.8,61.7,False,6912,64.9,1
+6187,52,Male,112,76,173,49,116,35,139,5.9,25.1,85,158,Atypical Angina,False,0.3,False,Never,6.4,102,7.8,47.1,True,4666,74.1,0
+6188,44,Male,104,72,165,56,83,187,143,6.9,21.4,81,173,Non-Anginal Pain,False,0.7,False,Never,11.8,182,6.6,73.8,True,9742,74.6,0
+6189,70,Male,136,90,162,27,102,160,129,5.8,28.6,80,133,Asymptomatic,False,0.2,False,Current,3.6,203,5.9,35.9,True,7818,65.1,1
+6190,52,Female,123,75,160,67,76,140,122,5.6,26.2,88,180,Non-Anginal Pain,False,0.1,False,Current,5.2,154,6.9,42.8,True,7991,86.9,0
+6191,46,Female,138,76,240,78,148,87,123,5.7,27.9,82,190,Atypical Angina,False,0.6,False,Never,4.5,122,9.0,48.7,True,9301,81.1,0
+6192,54,Male,134,71,212,39,125,223,85,5.2,32.6,86,147,Non-Anginal Pain,False,4.6,False,Never,14.8,155,7.5,83.9,False,4696,61.6,1
+6193,84,Male,125,75,187,58,109,97,111,5.4,28.5,81,123,Atypical Angina,True,0.5,False,Former,5.7,15,7.4,45.3,False,4709,61.9,1
+6194,60,Male,148,93,199,50,96,223,126,6.5,27.2,89,151,Asymptomatic,False,2.2,False,Never,21.8,125,6.8,71.6,False,4315,32.3,0
+6195,57,Male,155,104,200,57,119,142,124,6.2,30.0,78,156,Non-Anginal Pain,False,0.7,True,Never,5.5,92,5.1,46.7,False,3656,58.8,0
+6196,31,Female,150,92,148,21,94,136,154,7.1,30.2,88,160,Typical Angina,True,3.1,False,Never,3.7,102,8.3,48.3,True,5507,64.9,1
+6197,76,Male,160,105,233,34,150,213,156,6.8,35.2,99,132,Non-Anginal Pain,True,1.2,False,Never,3.7,75,7.2,68.7,False,3072,42.3,1
+6198,37,Female,122,72,203,47,134,115,130,6.9,26.9,87,184,Asymptomatic,False,0.3,False,Former,7.5,73,7.1,34.0,False,4523,36.1,0
+6199,55,Male,144,86,198,49,108,156,111,5.8,22.7,68,193,Non-Anginal Pain,False,1.2,False,Never,2.0,148,8.8,61.4,False,5990,77.0,0
+6200,51,Female,126,78,145,52,70,141,130,6.2,29.0,80,160,Non-Anginal Pain,False,0.3,False,Never,9.0,73,7.6,73.3,False,1045,46.2,0
+6201,54,Male,116,65,176,54,101,146,88,4.2,25.9,85,167,Non-Anginal Pain,True,0.1,True,Never,2.3,75,7.0,46.8,False,3852,53.6,1
+6202,54,Male,106,62,202,41,122,115,154,5.9,27.2,77,182,Asymptomatic,False,1.6,False,Never,3.0,151,9.3,41.0,True,7655,58.4,0
+6203,35,Male,113,63,197,62,99,139,122,5.7,24.1,66,204,Asymptomatic,False,2.5,False,Current,7.7,244,5.6,48.0,True,7980,79.4,0
+6204,52,Male,132,97,190,66,85,163,144,6.8,24.2,78,183,Atypical Angina,False,0.5,True,Never,6.5,188,5.9,65.6,False,4037,61.8,0
+6205,41,Female,136,92,168,51,94,136,120,5.5,24.7,69,192,Non-Anginal Pain,False,0.5,False,Current,2.4,259,6.7,45.5,True,8812,48.0,0
+6206,37,Female,115,81,209,72,109,147,90,5.0,21.9,81,208,Asymptomatic,False,0.8,False,Current,0.7,242,7.7,17.6,True,7560,28.5,0
+6207,51,Female,133,74,182,51,112,108,100,5.3,26.8,79,163,Atypical Angina,False,1.5,False,Never,3.1,0,6.9,42.3,False,1786,62.9,0
+6208,67,Female,138,82,180,61,99,119,88,4.5,20.0,80,156,Asymptomatic,False,1.3,False,Former,3.7,163,9.7,73.6,True,7802,84.9,0
+6209,58,Female,138,75,205,72,93,189,122,5.9,25.4,95,163,Asymptomatic,False,0.5,True,Former,9.7,175,7.2,89.5,True,8981,68.9,0
+6210,44,Male,122,78,187,62,96,187,91,5.3,22.4,77,167,Asymptomatic,False,1.6,False,Former,5.3,207,3.8,28.2,True,9250,77.2,0
+6211,67,Female,149,90,200,32,138,171,140,6.3,25.6,86,136,Asymptomatic,True,3.2,True,Never,0.5,82,7.4,41.7,False,7429,32.2,1
+6212,77,Female,125,78,167,65,85,35,137,6.4,23.9,91,145,Non-Anginal Pain,False,0.9,False,Never,1.9,198,8.3,76.8,True,9934,71.0,0
+6213,36,Male,132,64,168,52,94,112,99,5.4,19.0,92,204,Asymptomatic,False,0.7,False,Current,2.6,34,7.1,81.5,False,2561,44.4,0
+6214,35,Female,109,79,155,41,82,213,110,5.7,26.0,75,193,Asymptomatic,False,0.7,False,Current,1.1,159,6.8,31.0,False,4586,60.3,0
+6215,77,Male,120,94,214,51,118,174,124,5.7,26.1,88,139,Non-Anginal Pain,True,3.7,False,Never,1.7,120,6.0,47.3,False,4365,13.4,1
+6216,46,Male,123,87,233,78,119,139,100,5.0,25.7,84,177,Asymptomatic,True,0.4,True,Never,2.4,316,5.6,49.4,True,10306,45.4,0
+6217,65,Male,133,85,181,54,96,141,92,5.3,27.1,78,144,Typical Angina,False,0.2,False,Never,5.4,153,7.5,49.7,False,4388,63.7,1
+6218,44,Male,135,81,130,46,74,64,117,6.1,18.8,75,191,Asymptomatic,False,0.5,False,Former,6.2,200,8.1,77.8,True,7643,73.6,0
+6219,59,Female,136,77,164,61,86,105,141,6.1,23.5,80,171,Non-Anginal Pain,True,1.1,False,Never,0.9,138,6.4,31.1,False,6065,40.0,1
+6220,63,Male,135,80,220,53,120,260,112,5.3,29.0,82,147,Asymptomatic,False,0.1,False,Never,2.1,244,7.0,39.9,True,9678,78.9,0
+6221,36,Female,108,76,219,82,93,176,154,7.0,25.0,83,175,Typical Angina,False,0.5,False,Never,2.3,203,8.2,33.9,True,7542,47.0,0
+6222,70,Female,146,96,206,72,108,58,108,5.4,15.0,73,145,Atypical Angina,False,0.6,False,Current,5.3,133,9.2,70.9,False,5550,37.1,1
+6223,44,Male,126,87,118,46,36,181,131,6.3,27.4,76,186,Asymptomatic,False,0.9,False,Never,8.5,203,8.0,49.1,False,7474,94.8,0
+6224,54,Female,123,89,241,83,114,193,113,5.5,23.6,84,191,Non-Anginal Pain,False,0.4,False,Former,0.3,124,6.0,42.3,False,4787,62.3,0
+6225,48,Male,123,62,158,57,67,215,138,6.0,29.1,73,156,Asymptomatic,True,1.6,True,Never,6.6,253,8.5,85.0,True,13111,48.1,0
+6226,60,Female,129,83,180,86,91,52,114,5.6,21.5,88,143,Atypical Angina,False,1.5,True,Never,8.6,154,9.0,54.3,True,5702,85.9,1
+6227,61,Male,128,93,196,43,89,280,118,5.7,34.9,79,183,Asymptomatic,False,1.4,False,Never,8.7,80,8.5,62.1,False,2416,49.5,0
+6228,43,Female,109,69,97,51,36,65,96,4.9,15.0,72,188,Asymptomatic,True,0.3,False,Never,0.2,230,7.6,38.3,True,10564,72.2,0
+6229,70,Male,134,79,158,42,92,78,117,5.4,20.9,84,178,Atypical Angina,False,1.4,True,Former,5.9,87,6.8,49.0,True,4927,63.7,0
+6230,51,Male,109,65,208,36,132,125,100,5.3,25.4,85,173,Asymptomatic,False,0.2,False,Current,2.1,180,6.7,21.7,False,7361,44.7,0
+6231,59,Female,134,84,189,67,73,233,133,5.6,29.6,80,168,Typical Angina,False,1.6,True,Never,1.3,138,7.0,57.2,False,3909,63.9,1
+6232,63,Female,122,62,156,43,73,217,144,6.1,27.4,89,179,Asymptomatic,False,0.8,False,Never,0.1,93,8.5,65.3,False,5107,52.5,0
+6233,49,Male,115,75,158,58,99,56,110,4.9,18.9,97,158,Asymptomatic,True,0.9,True,Current,2.2,62,7.1,58.2,False,5645,41.1,1
+6234,54,Female,132,95,215,55,136,105,126,6.1,22.4,87,169,Non-Anginal Pain,False,0.4,False,Never,2.5,162,7.8,60.5,False,5677,48.3,0
+6235,66,Male,133,88,179,51,108,94,99,5.4,20.9,83,151,Asymptomatic,False,0.9,False,Never,3.5,62,5.8,61.2,False,3702,56.8,1
+6236,36,Male,126,82,187,58,95,158,129,6.4,24.6,108,210,Non-Anginal Pain,False,0.7,False,Never,3.0,94,6.7,31.2,False,4373,69.1,0
+6237,51,Male,113,65,159,50,111,65,125,5.7,20.3,67,168,Non-Anginal Pain,True,0.4,False,Former,2.8,188,7.8,45.0,True,6955,72.3,0
+6238,82,Male,156,98,200,57,126,72,81,4.5,18.7,76,135,Asymptomatic,False,0.3,False,Never,4.3,202,7.9,44.6,True,7012,86.7,0
+6239,46,Female,131,89,243,79,126,182,107,5.3,26.3,73,179,Non-Anginal Pain,False,1.2,True,Former,1.7,296,8.3,63.1,True,10067,83.3,0
+6240,75,Female,127,68,270,61,171,125,136,6.4,28.0,68,174,Non-Anginal Pain,False,0.4,True,Never,4.5,146,6.5,31.3,True,8288,41.8,0
+6241,71,Female,146,84,247,50,158,183,136,6.5,26.0,81,172,Non-Anginal Pain,False,0.2,False,Never,9.3,113,8.1,40.6,True,7357,59.5,0
+6242,70,Male,128,76,174,24,125,114,137,6.7,33.0,69,133,Non-Anginal Pain,True,3.2,True,Never,6.8,69,7.6,55.5,False,6950,33.9,1
+6243,67,Male,141,82,217,81,89,239,130,6.1,23.1,77,155,Typical Angina,False,0.2,False,Former,3.3,202,4.8,46.5,True,7912,89.2,0
+6244,53,Male,133,98,180,45,97,197,133,5.6,27.3,65,160,Atypical Angina,False,0.6,False,Never,3.2,213,6.4,50.2,True,8581,53.8,0
+6245,58,Female,139,85,228,68,114,231,142,6.4,25.5,72,148,Atypical Angina,False,0.1,False,Current,2.2,238,6.6,51.9,False,4380,39.6,1
+6246,75,Female,111,63,160,53,91,109,86,5.6,19.4,75,144,Atypical Angina,False,0.1,False,Former,3.1,73,9.4,34.0,False,4263,67.6,0
+6247,35,Male,109,65,144,56,49,168,116,5.9,25.3,75,181,Atypical Angina,False,3.0,True,Never,9.4,157,8.0,17.5,True,7836,49.6,1
+6248,73,Female,128,84,172,31,124,79,148,6.4,30.6,81,140,Asymptomatic,True,0.5,True,Never,10.3,51,6.7,41.5,False,791,35.0,1
+6249,51,Male,115,91,171,44,110,122,121,6.3,22.3,87,149,Asymptomatic,True,1.7,True,Never,12.0,5,6.1,34.0,False,8519,34.2,1
+6250,77,Male,150,87,251,59,155,235,134,5.8,26.7,85,124,Non-Anginal Pain,False,0.4,False,Never,4.0,124,5.9,80.9,False,7387,39.8,1
+6251,77,Male,135,85,229,31,161,142,150,7.3,31.7,84,143,Asymptomatic,False,0.3,True,Never,8.2,20,6.6,56.6,True,3451,54.3,0
+6252,65,Female,122,84,173,48,109,107,111,5.2,25.1,76,146,Atypical Angina,False,0.1,True,Current,3.9,99,7.1,13.6,False,5388,51.7,0
+6253,68,Female,118,66,144,73,47,112,84,4.7,20.5,67,149,Atypical Angina,False,0.5,False,Never,2.7,211,7.6,51.4,False,6682,71.6,0
+6254,46,Male,112,73,158,47,91,122,117,5.4,25.4,75,193,Typical Angina,False,1.0,False,Current,2.7,165,7.3,54.4,True,8498,50.1,0
+6255,64,Female,123,89,194,62,96,184,115,6.4,29.6,63,173,Asymptomatic,False,0.5,False,Never,10.1,154,8.3,50.8,True,3734,85.0,0
+6256,61,Male,127,74,234,68,125,202,143,6.6,27.9,73,143,Asymptomatic,True,1.1,False,Never,2.9,130,6.5,51.1,False,2574,62.8,1
+6257,66,Male,123,80,187,47,119,143,113,5.9,19.2,65,171,Asymptomatic,False,1.8,False,Former,5.1,130,7.9,41.0,True,6632,34.0,0
+6258,75,Female,158,97,155,49,81,158,138,6.4,25.2,70,148,Asymptomatic,False,2.2,False,Former,9.0,179,7.3,24.3,True,5758,63.9,0
+6259,54,Male,141,77,182,62,93,153,133,6.9,32.7,91,153,Asymptomatic,False,2.3,False,Current,8.7,150,6.1,45.6,True,7891,69.5,1
+6260,46,Male,117,77,163,76,79,123,96,5.6,19.1,85,182,Asymptomatic,False,0.1,False,Former,6.0,119,8.2,47.2,False,8206,50.2,0
+6261,54,Female,112,63,168,47,93,183,138,6.5,20.3,66,170,Non-Anginal Pain,False,0.6,False,Never,12.1,156,6.2,32.2,True,4494,59.5,0
+6262,58,Male,130,85,198,61,119,64,160,6.5,25.9,85,169,Asymptomatic,False,0.2,False,Never,1.5,125,7.9,33.2,True,8636,69.6,0
+6263,49,Female,107,65,133,53,61,120,113,5.3,19.2,84,167,Typical Angina,False,0.4,False,Never,32.8,115,7.2,49.4,False,4108,83.2,0
+6264,60,Male,127,71,156,63,78,104,103,5.7,24.8,77,156,Non-Anginal Pain,False,0.9,False,Never,2.9,216,7.8,26.1,True,5684,76.6,0
+6265,60,Male,122,70,193,53,117,120,116,5.2,18.7,68,173,Asymptomatic,True,0.9,True,Current,4.8,262,6.0,54.6,True,9259,40.7,0
+6266,51,Female,124,77,127,26,77,109,98,5.2,27.5,63,196,Non-Anginal Pain,False,0.3,False,Never,2.6,256,6.2,51.0,True,7793,57.4,0
+6267,72,Female,155,98,251,47,132,282,141,6.8,35.4,86,117,Asymptomatic,True,0.1,False,Never,3.5,0,6.3,54.0,False,1259,55.3,1
+6268,42,Female,127,81,254,79,147,147,117,6.1,26.6,84,192,Asymptomatic,False,0.5,False,Never,5.0,114,7.6,88.3,False,10087,87.0,0
+6269,64,Female,126,86,241,51,133,234,94,5.2,33.0,84,154,Asymptomatic,False,1.9,False,Never,43.5,110,7.4,40.6,True,7595,56.2,0
+6270,59,Female,136,75,204,61,117,172,127,7.0,29.0,89,145,Asymptomatic,False,0.9,True,Never,1.7,194,7.8,30.0,False,3967,68.5,0
+6271,49,Male,125,88,224,52,112,221,98,5.3,25.0,83,168,Atypical Angina,False,0.8,False,Never,3.6,191,6.5,85.2,True,7609,64.2,0
+6272,61,Female,134,84,204,48,133,35,144,6.4,25.3,85,168,Typical Angina,True,0.5,False,Current,0.3,51,7.6,93.7,False,4897,43.3,1
+6273,26,Male,96,66,217,30,131,217,85,4.7,35.5,104,210,Typical Angina,False,1.5,False,Never,8.8,58,8.4,40.8,False,5505,40.3,0
+6274,59,Female,136,78,220,72,122,113,87,5.0,30.1,80,168,Atypical Angina,False,0.2,True,Current,4.1,235,7.4,46.6,True,6293,67.8,0
+6275,61,Female,133,77,196,80,85,153,119,5.8,20.7,93,172,Asymptomatic,False,1.6,False,Never,1.2,149,6.7,50.5,True,6395,77.5,0
+6276,53,Female,113,71,218,70,122,143,112,5.6,27.1,89,168,Typical Angina,False,0.7,False,Never,0.4,186,7.5,24.6,False,7787,72.4,0
+6277,54,Female,138,89,230,58,134,215,107,5.7,27.0,86,170,Non-Anginal Pain,False,0.1,False,Current,13.5,23,7.2,28.4,False,859,44.6,0
+6278,42,Male,135,77,185,55,109,84,138,6.5,21.1,78,189,Atypical Angina,False,0.6,False,Former,5.6,174,5.7,48.2,True,9488,72.9,0
+6279,38,Male,106,70,231,41,157,149,111,5.3,18.3,73,175,Asymptomatic,False,0.7,False,Never,3.5,284,6.4,41.6,False,6281,57.4,0
+6280,39,Female,110,66,208,65,111,216,60,4.2,20.0,79,164,Non-Anginal Pain,False,0.8,False,Former,2.7,167,5.0,24.9,True,8590,78.3,0
+6281,51,Male,117,78,115,46,61,48,90,5.2,19.2,83,180,Asymptomatic,False,0.4,False,Former,8.6,183,6.2,41.9,False,4368,80.9,0
+6282,32,Male,108,54,155,48,55,215,134,6.6,24.1,77,191,Asymptomatic,False,1.1,False,Never,21.6,150,7.7,17.9,True,9789,63.9,0
+6283,44,Male,120,79,197,56,121,109,78,4.2,26.9,76,165,Atypical Angina,False,0.5,False,Former,13.0,128,6.5,46.5,True,8910,65.9,0
+6284,66,Female,133,91,204,62,128,123,114,5.6,24.3,79,143,Atypical Angina,False,0.3,False,Never,3.4,143,8.9,58.2,False,6624,53.0,0
+6285,49,Male,141,83,183,39,104,187,150,6.6,29.2,97,168,Typical Angina,False,0.7,False,Former,2.5,141,7.0,52.7,False,4899,69.4,0
+6286,36,Male,97,64,188,59,118,165,116,5.6,27.0,87,192,Asymptomatic,True,1.2,True,Former,3.0,103,7.4,43.9,False,6569,62.9,0
+6287,71,Female,129,71,198,65,101,171,154,7.1,26.8,88,153,Non-Anginal Pain,False,0.4,False,Never,0.6,60,5.8,67.5,False,7878,44.8,0
+6288,45,Male,105,50,219,70,111,182,103,5.6,27.9,88,169,Atypical Angina,False,1.0,False,Never,1.6,138,6.4,43.4,False,5980,87.3,1
+6289,41,Female,114,59,179,42,133,72,99,5.8,19.7,76,179,Atypical Angina,False,0.3,True,Never,3.4,195,7.5,44.9,False,9171,82.6,0
+6290,41,Female,115,69,227,47,136,183,125,6.0,27.6,69,191,Typical Angina,False,0.7,False,Former,1.4,162,6.8,44.9,True,5127,48.8,0
+6291,68,Female,129,77,201,40,117,173,128,5.9,27.2,80,140,Asymptomatic,True,0.6,False,Never,0.2,124,5.9,45.5,False,3420,40.9,1
+6292,54,Male,139,90,195,59,99,173,144,6.4,25.0,88,162,Asymptomatic,False,1.3,False,Never,2.1,126,6.8,47.4,False,5233,58.1,0
+6293,53,Male,142,95,193,56,109,138,118,5.4,27.6,81,166,Asymptomatic,False,0.9,False,Former,4.8,88,6.2,45.6,False,5641,76.5,0
+6294,62,Male,138,87,233,71,123,144,126,6.1,24.0,74,171,Asymptomatic,False,1.4,False,Former,15.9,150,7.3,49.8,True,4873,83.0,0
+6295,53,Male,131,92,154,44,78,136,161,7.1,27.0,81,175,Atypical Angina,False,0.6,False,Never,1.6,113,7.0,66.3,False,5876,48.2,0
+6296,56,Male,140,99,217,48,136,131,160,7.0,29.5,78,160,Asymptomatic,True,0.4,False,Never,1.6,134,7.5,37.0,True,7688,45.2,0
+6297,42,Male,99,65,131,48,54,149,101,5.8,20.3,72,180,Atypical Angina,False,1.6,False,Never,11.0,226,8.3,27.8,True,6188,88.6,0
+6298,58,Male,148,91,147,54,71,172,112,5.9,22.0,80,148,Atypical Angina,False,0.8,False,Never,9.8,195,5.2,66.4,False,5219,37.3,1
+6299,41,Female,123,84,201,57,97,190,169,7.7,35.4,80,192,Asymptomatic,False,0.7,False,Never,0.6,152,7.2,32.4,True,8228,78.1,0
+6300,55,Female,111,72,209,68,142,58,112,5.3,22.5,85,149,Atypical Angina,False,1.6,False,Current,5.5,108,4.3,47.1,True,9126,77.1,1
+6301,32,Male,96,66,216,51,111,232,123,6.2,27.0,81,200,Asymptomatic,False,1.1,False,Never,9.3,229,6.0,57.1,False,6308,51.1,0
+6302,57,Male,150,89,228,34,155,197,127,6.2,37.7,98,167,Non-Anginal Pain,True,1.2,True,Former,2.5,133,7.4,57.2,True,6887,73.9,1
+6303,68,Female,139,73,215,75,123,73,108,5.3,22.4,76,152,Asymptomatic,False,2.3,True,Former,0.1,100,6.8,55.5,False,5625,60.9,0
+6304,59,Male,138,91,236,55,124,224,114,5.4,20.4,99,156,Asymptomatic,True,1.2,True,Never,10.4,87,6.6,75.3,False,3475,53.2,1
+6305,53,Female,121,83,118,44,73,35,117,5.9,19.2,82,173,Non-Anginal Pain,False,0.9,False,Never,0.9,207,6.1,35.4,True,10573,71.1,0
+6306,53,Female,144,84,183,58,97,187,120,5.6,33.6,84,173,Asymptomatic,False,2.3,True,Never,5.4,83,7.7,37.3,True,3638,51.1,1
+6307,50,Male,129,104,156,59,79,140,113,5.2,29.8,97,156,Typical Angina,False,0.6,False,Never,2.9,44,4.9,78.6,False,5043,51.4,0
+6308,23,Female,122,75,141,38,77,167,136,6.2,29.5,71,208,Asymptomatic,False,0.9,True,Never,7.5,123,6.1,60.6,False,4078,53.2,0
+6309,66,Male,158,102,175,57,84,171,134,6.1,26.2,95,131,Non-Anginal Pain,False,4.1,False,Never,9.2,98,7.3,35.9,False,2443,80.9,1
+6310,60,Female,113,80,216,49,143,158,116,6.2,26.7,75,169,Typical Angina,False,0.5,True,Former,9.6,162,6.6,63.3,True,6933,75.8,1
+6311,41,Female,125,83,215,60,122,140,101,5.0,20.8,83,188,Non-Anginal Pain,False,0.9,True,Former,4.8,227,6.2,48.5,True,6614,46.8,0
+6312,53,Male,128,74,196,66,95,175,161,7.2,24.9,90,151,Asymptomatic,False,1.4,False,Never,3.8,95,6.8,40.6,False,5841,57.5,1
+6313,69,Female,131,77,168,24,101,184,128,6.5,29.8,71,154,Typical Angina,True,2.0,True,Never,3.9,121,5.6,45.2,True,2507,52.4,1
+6314,38,Female,154,105,148,47,81,138,114,5.4,25.7,70,175,Asymptomatic,True,0.5,False,Current,0.2,126,8.8,55.1,True,6981,61.4,0
+6315,54,Male,139,86,187,61,111,132,108,5.6,25.7,81,151,Non-Anginal Pain,False,0.5,True,Never,5.3,106,6.9,70.6,False,6680,54.1,1
+6316,62,Female,123,80,192,82,100,41,110,5.5,22.6,86,163,Asymptomatic,False,1.0,False,Former,11.0,103,7.5,29.8,False,5719,50.9,0
+6317,44,Male,120,87,188,35,114,206,119,6.0,30.6,77,163,Asymptomatic,False,0.0,False,Never,11.9,175,7.9,9.8,True,8010,61.8,0
+6318,61,Female,133,91,167,53,103,78,103,4.8,22.3,84,160,Atypical Angina,False,0.3,False,Former,0.3,174,7.3,50.0,True,6654,79.9,0
+6319,42,Female,118,76,180,68,92,132,111,5.6,23.2,75,181,Asymptomatic,False,1.0,False,Never,2.9,199,7.7,43.7,False,10396,82.2,0
+6320,69,Female,135,83,219,45,143,192,127,6.1,24.2,88,145,Asymptomatic,False,0.5,False,Current,3.2,214,8.5,36.2,False,6354,64.8,1
+6321,49,Female,138,76,222,72,108,182,92,4.7,17.2,80,166,Typical Angina,False,0.1,True,Never,6.9,256,6.1,72.6,True,8804,49.6,0
+6322,43,Female,111,66,225,82,103,210,97,5.3,25.9,78,208,Atypical Angina,False,0.2,False,Former,6.5,157,7.8,48.0,True,7863,75.3,0
+6323,58,Male,118,84,202,54,116,177,141,6.1,19.4,86,180,Non-Anginal Pain,False,1.0,False,Never,3.2,103,7.9,48.4,False,6018,71.7,0
+6324,31,Male,129,80,218,66,125,93,89,4.8,15.2,85,190,Non-Anginal Pain,False,1.3,False,Former,2.5,259,5.8,48.1,False,6641,69.1,0
+6325,51,Female,136,81,185,54,93,161,140,6.4,34.4,88,178,Asymptomatic,False,0.6,False,Never,3.1,79,8.4,54.6,False,3152,82.3,0
+6326,51,Male,128,73,184,59,114,99,63,4.7,21.1,96,200,Asymptomatic,False,0.4,True,Current,9.6,164,6.9,40.4,True,5582,42.5,0
+6327,80,Male,140,83,178,58,76,181,147,7.0,23.7,79,149,Typical Angina,True,2.2,True,Former,6.6,173,8.0,65.8,True,7653,64.6,1
+6328,62,Male,124,77,154,63,79,35,130,6.0,26.1,91,157,Asymptomatic,False,1.3,False,Never,5.5,171,5.6,77.0,True,7973,61.8,0
+6329,68,Male,143,92,150,52,90,81,115,6.2,23.5,86,127,Asymptomatic,True,1.4,False,Former,6.6,35,8.7,62.7,False,4052,91.5,1
+6330,44,Male,130,76,166,60,85,123,108,5.1,26.5,79,177,Asymptomatic,False,0.2,False,Never,1.9,194,7.4,57.6,True,7190,63.2,0
+6331,39,Male,117,77,220,50,144,132,131,6.1,20.4,80,168,Atypical Angina,True,1.6,True,Former,5.3,136,6.7,28.2,False,2988,66.0,1
+6332,34,Female,125,82,201,46,116,189,98,4.7,30.0,82,210,Non-Anginal Pain,False,0.8,False,Former,0.2,74,7.5,69.2,False,6563,59.9,0
+6333,63,Female,126,97,151,73,68,80,117,5.9,16.0,85,168,Non-Anginal Pain,False,0.9,False,Never,0.9,143,7.9,51.0,False,4328,67.7,0
+6334,41,Male,107,58,120,42,63,56,179,7.2,25.2,80,197,Asymptomatic,False,1.3,False,Former,2.3,157,7.1,51.3,False,8365,72.6,0
+6335,37,Female,93,62,181,59,87,196,138,6.4,19.2,89,204,Non-Anginal Pain,False,0.2,False,Never,7.1,223,7.1,59.6,True,8583,72.7,0
+6336,67,Male,132,67,176,63,101,35,144,5.6,23.1,85,149,Atypical Angina,True,0.9,False,Former,6.9,98,7.5,59.5,False,5010,77.3,1
+6337,66,Female,151,88,182,66,68,259,103,4.4,31.1,80,161,Atypical Angina,False,1.6,False,Never,2.8,189,7.0,24.6,True,8052,54.5,0
+6338,48,Female,121,70,197,57,114,98,99,5.7,32.6,88,192,Atypical Angina,True,2.1,False,Never,12.1,237,7.4,46.1,False,5747,95.6,0
+6339,49,Female,119,59,199,47,104,209,129,5.8,28.9,93,162,Asymptomatic,False,2.1,True,Current,6.9,106,8.3,49.3,False,4109,57.0,1
+6340,52,Female,139,99,202,56,97,270,134,6.6,23.3,86,150,Non-Anginal Pain,False,2.2,False,Current,8.1,0,7.9,53.0,False,6082,37.7,1
+6341,43,Female,116,58,169,52,79,191,104,5.5,25.5,83,184,Asymptomatic,False,1.7,False,Never,8.0,97,8.3,11.6,False,7852,69.0,0
+6342,41,Female,122,80,229,74,109,228,160,6.7,24.4,93,177,Asymptomatic,False,1.1,True,Never,12.3,129,6.6,23.6,False,4109,51.9,0
+6343,56,Male,140,100,195,61,112,77,147,6.7,31.2,80,150,Typical Angina,True,0.8,True,Never,10.2,124,5.3,55.9,False,4713,63.4,1
+6344,54,Male,121,74,208,52,147,75,103,5.4,29.0,89,142,Atypical Angina,False,1.9,True,Never,5.1,157,6.6,37.0,True,5651,56.8,1
+6345,42,Male,106,71,166,36,89,153,92,5.2,23.4,87,157,Asymptomatic,False,0.2,False,Current,2.0,100,8.0,8.5,True,6094,69.0,1
+6346,66,Female,114,75,274,80,162,171,115,5.7,25.1,78,137,Typical Angina,False,3.5,False,Never,4.8,90,5.4,46.2,False,4215,50.7,1
+6347,80,Male,146,86,187,48,108,106,122,5.4,22.4,80,131,Asymptomatic,False,0.0,False,Former,2.5,118,6.6,38.4,True,7285,79.4,0
+6348,41,Female,130,81,206,57,114,141,122,5.7,22.2,80,176,Asymptomatic,False,0.4,False,Former,1.4,116,6.2,33.2,False,2018,47.4,0
+6349,50,Female,144,88,229,97,109,125,106,5.4,17.1,76,166,Non-Anginal Pain,False,1.1,False,Never,0.9,229,7.8,59.9,False,4820,60.3,0
+6350,25,Male,122,82,117,40,81,35,133,6.1,25.6,69,205,Typical Angina,False,0.6,False,Former,2.1,104,8.2,49.5,True,5840,78.7,0
+6351,67,Male,152,90,185,48,102,164,121,5.8,33.9,92,125,Non-Anginal Pain,False,1.7,False,Never,2.2,72,7.1,23.6,False,2774,57.6,1
+6352,36,Male,124,77,208,61,128,98,112,5.9,22.4,91,185,Typical Angina,False,1.0,False,Current,2.5,105,6.6,44.4,False,6450,56.5,0
+6353,53,Female,129,79,197,60,105,90,119,6.4,19.9,68,182,Asymptomatic,False,0.7,True,Never,0.7,258,6.3,63.2,False,4180,56.2,0
+6354,61,Male,125,75,191,32,141,108,146,6.4,24.2,86,133,Asymptomatic,False,2.6,True,Never,10.3,60,7.1,25.4,False,3794,58.1,1
+6355,64,Male,117,69,156,53,63,186,85,4.6,25.2,72,157,Non-Anginal Pain,False,0.8,False,Never,7.7,139,7.6,39.1,False,4747,53.7,0
+6356,38,Female,117,71,164,47,88,162,101,5.7,27.7,76,185,Asymptomatic,False,1.0,False,Never,0.5,63,7.5,36.2,False,4119,46.7,0
+6357,44,Male,113,73,150,56,79,84,126,6.3,19.5,81,190,Asymptomatic,False,2.0,False,Never,4.7,26,5.4,63.8,False,1465,47.5,0
+6358,50,Female,141,95,207,63,106,172,128,6.3,29.3,84,155,Asymptomatic,True,1.7,False,Former,10.9,181,6.4,51.4,False,5372,65.3,1
+6359,32,Male,127,78,197,59,98,264,107,5.8,26.5,84,210,Atypical Angina,False,1.1,False,Never,2.7,190,8.3,49.1,False,4978,46.5,0
+6360,44,Male,133,92,181,56,108,142,115,5.5,25.9,72,162,Non-Anginal Pain,True,0.2,True,Never,2.7,99,7.9,19.5,False,4485,16.9,1
+6361,61,Male,130,86,161,34,79,233,128,5.6,34.7,84,152,Typical Angina,True,3.4,True,Never,12.5,61,6.5,68.2,True,2673,49.7,1
+6362,66,Female,127,77,177,57,100,134,89,4.0,24.7,77,175,Asymptomatic,False,0.8,False,Never,4.6,141,7.7,18.4,False,2742,69.5,0
+6363,37,Male,132,80,142,47,68,101,134,6.3,24.2,84,198,Asymptomatic,False,0.0,False,Never,7.3,187,7.1,31.4,False,6652,48.8,0
+6364,41,Male,110,64,172,49,86,192,96,5.2,24.2,81,171,Asymptomatic,False,0.7,True,Never,6.0,119,8.3,34.2,False,2258,36.8,0
+6365,43,Male,122,75,188,52,110,136,91,4.5,15.0,75,161,Asymptomatic,False,0.5,False,Former,2.6,187,7.3,62.9,True,5488,38.4,1
+6366,70,Female,144,87,219,61,130,142,110,6.1,28.5,72,141,Atypical Angina,True,2.8,False,Former,5.1,145,7.2,51.9,True,10437,83.7,1
+6367,45,Female,126,77,176,70,49,237,134,5.6,22.9,72,173,Asymptomatic,False,1.5,False,Current,2.0,157,6.7,18.9,False,9486,61.5,0
+6368,55,Male,109,66,208,62,102,230,132,6.8,22.7,81,148,Atypical Angina,False,0.5,False,Never,15.7,104,9.4,35.4,False,5629,48.8,0
+6369,68,Female,133,74,195,81,102,52,115,5.9,18.6,76,160,Asymptomatic,False,0.9,True,Never,9.5,151,7.2,45.3,True,8820,94.6,0
+6370,62,Female,130,86,220,69,99,267,131,5.8,31.3,88,156,Non-Anginal Pain,False,1.2,False,Former,0.8,110,5.6,76.2,True,8433,52.8,0
+6371,62,Female,122,82,180,55,104,128,120,6.2,30.6,67,144,Asymptomatic,False,1.6,False,Never,0.2,166,5.3,70.9,True,7205,62.6,0
+6372,69,Male,128,81,209,39,151,137,141,6.5,30.6,90,136,Asymptomatic,False,1.4,False,Never,4.7,109,7.2,61.0,False,7860,39.8,0
+6373,31,Female,107,74,177,58,104,135,99,4.9,22.4,73,205,Typical Angina,False,2.5,False,Current,9.7,219,8.1,68.1,True,10855,41.7,0
+6374,58,Female,125,74,261,60,152,190,107,6.1,29.4,79,147,Non-Anginal Pain,True,0.5,False,Former,1.4,90,5.6,46.0,True,7166,61.8,1
+6375,56,Female,127,74,200,38,138,174,112,5.8,29.0,93,138,Atypical Angina,False,2.8,True,Never,1.6,21,8.0,45.2,False,7544,70.4,1
+6376,45,Male,119,78,196,56,88,180,155,6.3,25.4,89,154,Asymptomatic,True,0.7,False,Current,1.8,103,6.2,29.2,False,5169,31.7,1
+6377,67,Male,145,100,220,44,128,161,124,5.4,29.2,93,149,Non-Anginal Pain,False,1.4,False,Current,8.6,227,9.0,7.5,True,8093,60.2,1
+6378,69,Male,131,77,123,49,47,150,139,6.5,27.2,88,164,Asymptomatic,False,0.1,False,Never,2.4,170,6.9,35.0,False,7595,44.0,0
+6379,46,Female,128,68,255,56,142,253,140,6.8,32.7,97,173,Non-Anginal Pain,True,0.9,True,Former,5.6,52,8.0,32.3,False,2924,68.5,1
+6380,34,Female,106,54,150,46,73,146,130,5.6,25.3,82,200,Non-Anginal Pain,True,0.3,False,Former,0.5,114,8.5,39.1,False,5016,69.1,0
+6381,18,Female,100,65,149,90,37,105,90,4.8,25.3,86,198,Atypical Angina,False,0.8,False,Former,8.6,189,7.3,50.5,True,9051,81.0,0
+6382,80,Male,124,82,241,44,141,264,101,5.1,28.1,88,147,Non-Anginal Pain,False,3.2,False,Former,4.9,62,8.5,14.6,True,5334,53.1,1
+6383,46,Male,120,86,227,56,143,157,72,5.2,26.0,74,179,Non-Anginal Pain,False,1.5,True,Never,6.2,184,7.1,100.0,True,6855,73.0,0
+6384,57,Male,117,66,140,48,75,116,101,5.8,25.2,83,178,Asymptomatic,False,1.0,False,Never,7.4,218,6.8,62.1,True,8099,68.8,0
+6385,54,Male,135,85,159,42,95,120,125,5.9,25.9,75,159,Non-Anginal Pain,True,1.4,False,Former,3.9,134,8.7,49.5,True,5508,63.0,1
+6386,74,Female,148,95,247,54,164,171,138,6.3,25.9,95,123,Asymptomatic,False,3.2,False,Never,4.3,83,6.4,61.0,False,5686,39.2,1
+6387,35,Male,117,80,179,43,101,169,111,5.9,23.4,83,166,Asymptomatic,True,1.1,False,Former,6.3,94,7.1,47.3,False,7209,47.8,1
+6388,50,Female,136,96,179,61,84,179,94,5.0,25.4,84,174,Non-Anginal Pain,True,0.1,False,Former,18.0,77,7.8,51.5,False,4447,72.0,0
+6389,43,Female,157,92,226,60,140,138,121,5.6,28.4,95,162,Non-Anginal Pain,True,0.3,True,Never,9.9,141,6.4,19.1,True,3856,56.1,1
+6390,47,Male,141,89,186,61,115,91,144,6.3,27.6,94,174,Asymptomatic,False,0.8,False,Former,6.7,210,9.0,52.4,False,3807,36.6,0
+6391,39,Male,123,82,215,46,132,180,97,4.5,21.9,72,175,Asymptomatic,False,1.2,False,Current,14.2,125,5.9,65.6,False,4071,50.1,0
+6392,40,Male,135,93,179,58,87,159,102,4.7,23.2,88,189,Asymptomatic,True,0.2,False,Never,6.5,104,6.9,48.6,True,9268,68.7,0
+6393,56,Male,144,89,167,43,107,108,136,6.7,25.7,83,172,Asymptomatic,True,0.5,False,Never,1.7,161,8.2,69.6,False,6084,83.3,1
+6394,55,Male,124,74,252,68,160,172,143,6.6,29.2,77,168,Atypical Angina,True,2.8,False,Former,4.1,47,8.0,30.3,True,3152,66.5,1
+6395,38,Female,98,51,187,62,96,165,98,5.2,29.3,86,175,Atypical Angina,False,0.8,False,Former,4.0,142,8.5,28.6,False,4716,50.4,0
+6396,51,Male,114,75,170,42,98,166,91,5.5,17.2,97,151,Atypical Angina,False,1.5,False,Former,25.8,167,6.5,43.4,False,5691,61.0,1
+6397,40,Female,130,88,189,50,119,127,148,6.4,31.1,77,185,Non-Anginal Pain,False,0.7,False,Former,2.9,135,6.9,38.6,False,5229,68.0,0
+6398,63,Male,130,75,185,56,85,142,113,5.5,21.2,74,132,Typical Angina,True,0.3,True,Never,2.6,198,5.6,49.1,False,5133,16.5,1
+6399,64,Female,129,83,206,54,111,146,133,6.3,29.9,79,170,Asymptomatic,False,0.6,False,Current,2.5,148,6.1,51.0,True,8202,56.2,0
+6400,68,Male,142,93,223,72,127,118,139,6.1,24.1,79,147,Atypical Angina,False,1.4,False,Former,2.4,252,7.7,34.1,False,6113,88.4,0
+6401,50,Female,106,63,149,39,84,100,73,4.7,16.5,69,169,Asymptomatic,True,0.3,False,Never,24.5,212,8.1,47.5,True,7125,46.6,0
+6402,46,Female,118,59,181,51,99,187,119,5.1,23.2,83,177,Non-Anginal Pain,False,0.6,False,Never,5.5,202,5.7,32.0,False,6159,58.5,0
+6403,54,Female,128,78,170,34,106,178,118,4.8,22.2,83,168,Non-Anginal Pain,False,0.7,False,Current,8.0,134,7.1,41.7,True,5796,54.6,0
+6404,47,Male,110,74,170,65,76,175,121,5.7,24.7,106,171,Asymptomatic,False,0.7,False,Never,4.0,244,7.5,20.1,True,8902,79.2,0
+6405,54,Male,125,58,186,67,87,167,108,5.9,24.3,80,183,Asymptomatic,False,1.5,True,Former,5.8,157,6.8,55.3,False,2719,80.8,0
+6406,47,Female,131,85,212,70,114,113,95,5.2,23.1,69,190,Typical Angina,False,0.2,True,Never,7.0,202,6.2,61.2,True,7529,74.0,0
+6407,38,Male,96,50,161,56,96,74,109,5.0,18.7,74,176,Atypical Angina,False,0.0,False,Never,7.0,141,8.1,25.4,True,7240,52.8,0
+6408,57,Female,132,92,181,36,124,109,108,6.1,23.2,89,139,Typical Angina,True,1.7,False,Never,3.1,198,6.8,64.4,True,8545,67.0,1
+6409,65,Male,116,77,183,50,124,62,140,6.4,22.4,84,144,Asymptomatic,False,1.5,False,Former,8.2,127,6.8,37.9,False,5436,58.2,1
+6410,62,Male,142,79,213,46,124,149,166,6.9,29.7,72,182,Typical Angina,True,0.2,True,Never,4.1,135,8.6,34.3,False,3598,33.6,1
+6411,38,Male,124,69,195,46,109,138,87,5.0,24.7,81,176,Asymptomatic,False,1.0,False,Former,6.3,160,7.3,46.9,False,6556,48.0,0
+6412,71,Male,133,70,151,39,91,73,105,5.4,20.3,87,140,Non-Anginal Pain,True,0.1,False,Never,2.5,47,7.2,72.9,False,6534,56.2,1
+6413,32,Male,108,67,220,74,116,153,106,5.4,24.0,80,186,Atypical Angina,False,1.6,True,Never,7.1,217,6.0,43.9,True,5676,57.5,0
+6414,45,Male,117,65,151,53,68,152,162,7.4,23.1,85,169,Asymptomatic,False,1.6,False,Never,5.7,218,8.6,52.7,True,6975,78.3,0
+6415,55,Female,122,78,209,69,118,171,101,5.9,25.8,85,180,Asymptomatic,False,1.5,False,Never,2.6,141,4.6,37.6,False,6429,36.2,0
+6416,54,Male,115,67,199,48,110,184,133,5.9,22.1,65,155,Asymptomatic,True,2.1,False,Never,3.1,192,8.1,49.4,False,4142,50.7,1
+6417,50,Male,122,73,178,41,115,125,141,6.2,31.0,88,185,Asymptomatic,False,0.9,False,Current,4.3,181,8.0,47.8,False,8334,56.8,0
+6418,48,Male,116,85,185,75,94,163,122,5.5,22.3,84,180,Asymptomatic,False,0.0,False,Never,7.8,126,5.8,34.9,False,4342,71.7,0
+6419,49,Male,120,87,227,76,117,129,98,4.8,22.6,79,185,Non-Anginal Pain,False,0.0,False,Never,1.8,222,6.6,67.4,True,7625,77.6,0
+6420,67,Male,138,81,198,64,114,119,105,4.9,26.3,92,144,Atypical Angina,False,0.6,False,Never,4.6,0,8.8,58.8,False,4552,71.3,1
+6421,68,Female,131,75,206,54,122,116,136,6.1,24.6,73,122,Asymptomatic,False,3.2,False,Never,7.6,182,7.4,59.5,True,8606,51.8,1
+6422,55,Female,139,81,168,50,106,104,105,4.9,28.2,63,182,Non-Anginal Pain,False,2.2,False,Never,2.4,89,6.2,24.8,False,7799,59.5,0
+6423,41,Female,128,70,155,63,65,200,115,5.3,21.8,79,173,Non-Anginal Pain,False,0.0,True,Never,13.7,56,7.2,50.1,False,4066,72.9,0
+6424,62,Male,133,90,199,61,84,265,131,6.2,27.8,86,144,Atypical Angina,False,0.4,False,Never,10.5,67,5.8,13.8,False,5949,45.6,0
+6425,73,Female,144,95,237,71,124,231,84,5.3,18.3,88,169,Typical Angina,True,1.7,True,Never,0.7,230,7.7,60.2,True,5761,50.0,0
+6426,63,Male,140,89,180,58,83,210,119,5.7,24.4,65,165,Atypical Angina,True,0.9,False,Never,5.2,167,6.4,62.3,False,6062,60.2,0
+6427,45,Male,142,93,208,50,131,178,150,6.3,27.6,89,150,Asymptomatic,True,1.0,True,Never,12.2,57,7.3,58.9,False,5281,72.4,1
+6428,49,Male,121,69,160,53,70,205,102,5.2,21.6,74,160,Asymptomatic,False,0.7,True,Never,2.0,185,4.3,16.2,True,6629,49.4,0
+6429,72,Female,162,113,214,48,112,203,169,7.3,27.4,95,153,Asymptomatic,True,1.2,False,Never,0.1,76,9.5,54.0,True,7438,65.3,0
+6430,58,Male,140,79,228,31,142,248,136,6.5,29.2,76,157,Asymptomatic,True,1.9,False,Former,25.5,184,6.4,45.4,False,5627,33.7,1
+6431,41,Female,146,98,136,58,45,131,126,6.1,25.8,81,210,Non-Anginal Pain,False,0.3,False,Former,3.0,186,4.9,32.0,True,5283,53.3,0
+6432,71,Male,117,72,184,57,106,113,120,5.8,24.3,78,182,Asymptomatic,False,0.1,False,Never,1.8,136,6.7,36.1,False,4586,53.3,0
+6433,47,Male,138,103,236,69,152,219,96,5.5,32.3,94,181,Asymptomatic,False,0.2,False,Former,4.8,158,6.1,36.6,True,7891,76.4,0
+6434,76,Male,138,93,184,48,99,140,89,5.0,31.4,72,124,Asymptomatic,True,0.3,True,Former,6.6,51,7.7,67.0,False,6169,77.3,1
+6435,86,Male,139,82,201,43,138,118,110,5.7,26.7,93,118,Atypical Angina,True,0.3,False,Current,3.6,115,6.7,27.5,False,3189,42.1,1
+6436,75,Male,153,106,193,60,118,113,118,5.6,26.5,88,154,Non-Anginal Pain,False,1.8,False,Never,3.4,121,7.5,42.4,False,3717,61.3,0
+6437,65,Male,143,84,193,47,105,126,108,5.4,21.0,78,141,Atypical Angina,False,1.4,True,Current,2.9,90,7.0,61.1,True,9185,43.9,0
+6438,55,Male,120,76,143,23,86,151,141,6.4,22.6,73,162,Non-Anginal Pain,False,1.0,True,Never,3.6,0,8.3,62.1,False,5491,33.9,1
+6439,36,Male,120,65,152,51,70,186,105,5.6,25.6,81,194,Asymptomatic,False,0.4,True,Former,31.2,104,6.7,69.7,False,7178,51.1,0
+6440,46,Female,98,63,119,43,56,154,171,7.3,24.1,70,164,Asymptomatic,False,0.4,False,Current,3.5,207,8.7,42.4,True,9603,70.8,0
+6441,40,Female,134,87,185,65,76,234,133,6.3,16.1,93,154,Asymptomatic,False,0.5,False,Never,1.5,50,8.5,53.2,True,5635,51.9,0
+6442,47,Female,135,90,177,70,73,219,131,6.1,29.2,89,195,Atypical Angina,False,0.6,False,Never,17.0,163,7.0,36.6,True,8872,62.3,0
+6443,59,Male,124,77,159,62,71,176,97,5.3,16.8,55,182,Asymptomatic,False,0.4,True,Never,3.0,294,7.5,30.4,True,7879,53.9,0
+6444,48,Female,105,57,191,57,110,117,129,6.2,25.1,83,179,Non-Anginal Pain,True,0.1,False,Never,2.2,94,6.7,56.9,False,836,73.7,0
+6445,66,Male,122,79,204,45,111,268,119,5.8,23.9,82,136,Asymptomatic,False,0.4,False,Former,34.4,132,6.0,47.0,False,4744,51.9,1
+6446,44,Female,117,72,205,52,132,130,78,5.3,27.1,90,164,Asymptomatic,False,0.3,False,Never,21.1,68,7.0,58.2,False,3963,83.2,0
+6447,61,Male,129,71,157,66,70,98,86,4.9,24.2,78,158,Asymptomatic,False,0.9,False,Former,3.8,185,7.7,21.3,False,3844,84.1,0
+6448,69,Male,151,102,202,63,103,142,90,4.9,30.1,86,142,Non-Anginal Pain,False,0.5,False,Never,1.6,10,6.6,71.7,False,5956,74.6,0
+6449,45,Female,121,71,185,51,98,166,166,6.8,21.2,77,150,Asymptomatic,False,0.3,False,Never,0.5,109,6.7,49.7,True,7008,43.8,0
+6450,52,Male,114,59,130,54,51,135,125,5.9,20.5,75,169,Asymptomatic,False,0.2,False,Never,2.1,119,8.2,30.8,True,5769,46.0,0
+6451,41,Female,140,91,210,54,124,151,112,5.5,30.6,81,178,Atypical Angina,False,0.5,False,Never,4.1,139,6.5,32.6,False,6565,47.5,0
+6452,45,Male,138,82,141,39,78,163,124,6.0,29.8,81,189,Typical Angina,False,1.5,False,Never,2.9,109,5.1,55.2,False,5323,55.3,0
+6453,57,Male,130,84,214,70,107,127,86,5.7,22.8,80,172,Asymptomatic,False,1.8,False,Former,4.6,172,5.4,66.5,False,7461,55.1,0
+6454,57,Male,132,85,221,46,145,185,123,5.3,25.6,73,146,Non-Anginal Pain,True,0.5,True,Never,4.2,42,7.3,50.8,False,1570,36.7,1
+6455,65,Female,133,71,164,50,81,157,117,6.0,26.8,70,151,Typical Angina,False,2.1,False,Never,1.6,188,6.7,26.7,True,9310,62.4,1
+6456,44,Female,102,60,237,64,141,156,114,5.7,25.3,83,171,Non-Anginal Pain,False,0.0,True,Current,1.0,130,4.8,56.9,False,6832,63.1,0
+6457,57,Female,114,83,204,51,112,191,106,5.8,28.2,77,150,Asymptomatic,True,0.6,True,Never,2.0,231,6.7,54.7,True,9030,65.2,0
+6458,63,Female,133,88,195,64,116,99,131,6.2,27.3,83,172,Asymptomatic,False,1.7,True,Never,2.1,126,7.9,39.7,False,7306,47.1,0
+6459,53,Male,133,98,215,47,140,175,116,5.8,25.4,75,173,Non-Anginal Pain,False,2.3,False,Never,3.4,194,4.7,37.2,True,8328,69.8,0
+6460,57,Male,133,83,230,55,131,224,126,6.4,21.7,86,177,Asymptomatic,False,0.2,False,Never,1.6,168,7.9,40.6,True,6875,47.4,0
+6461,34,Female,114,67,156,53,72,135,137,6.1,21.2,73,196,Non-Anginal Pain,False,0.4,True,Never,5.8,20,7.0,50.8,False,4298,43.6,0
+6462,42,Female,123,94,177,67,83,136,124,5.9,24.3,82,184,Asymptomatic,False,0.7,False,Former,2.3,292,6.8,52.8,True,9318,58.7,0
+6463,69,Female,158,101,177,24,126,139,122,5.9,25.4,81,149,Typical Angina,True,0.9,False,Current,0.3,99,9.4,49.5,False,2126,61.3,1
+6464,31,Female,120,82,148,66,55,107,66,4.6,20.4,80,210,Asymptomatic,False,1.2,False,Never,6.2,216,7.1,81.8,True,7620,75.1,0
+6465,30,Male,104,69,215,65,117,183,101,5.6,30.2,88,179,Atypical Angina,False,2.4,False,Never,5.5,95,5.7,54.2,False,5650,61.9,0
+6466,55,Female,115,72,162,48,85,155,104,5.0,22.3,80,154,Non-Anginal Pain,False,1.0,True,Never,10.7,120,8.6,23.3,True,7317,48.6,0
+6467,34,Male,137,90,183,37,107,206,119,6.0,28.6,68,192,Non-Anginal Pain,False,0.4,False,Current,7.1,199,7.1,20.2,True,5967,68.3,0
+6468,73,Male,149,92,166,53,62,202,110,5.1,26.0,81,148,Typical Angina,False,1.6,False,Never,7.2,106,6.4,59.2,True,5900,50.5,0
+6469,70,Male,118,77,186,71,69,213,131,6.2,24.3,79,146,Asymptomatic,False,0.2,False,Never,3.7,182,7.0,38.3,False,6187,79.2,0
+6470,44,Male,107,50,167,42,78,208,150,7.0,23.0,92,182,Typical Angina,False,1.9,False,Never,4.2,217,8.6,37.6,False,3399,56.0,0
+6471,55,Female,126,79,205,52,112,162,94,5.1,25.9,81,174,Asymptomatic,False,0.6,False,Current,2.2,243,4.3,44.4,True,5764,86.8,0
+6472,42,Male,122,72,250,51,164,186,91,4.0,24.1,80,207,Non-Anginal Pain,False,2.1,False,Current,7.1,157,7.5,13.9,False,8111,56.7,0
+6473,28,Female,122,78,149,71,63,134,72,4.6,25.4,71,189,Asymptomatic,False,0.0,True,Former,0.5,197,7.8,45.1,True,10202,61.4,0
+6474,57,Female,126,75,192,47,110,161,121,5.1,26.0,69,162,Non-Anginal Pain,False,1.1,False,Never,9.4,181,6.3,63.5,True,8765,47.9,0
+6475,34,Female,138,92,210,44,123,174,114,6.1,26.5,77,210,Asymptomatic,False,0.9,False,Never,1.2,111,6.9,54.2,True,8928,36.6,0
+6476,62,Female,127,80,201,51,114,104,148,6.3,25.4,75,148,Non-Anginal Pain,True,0.7,True,Current,0.9,173,7.1,59.3,False,4125,59.7,1
+6477,73,Male,142,94,245,61,133,233,130,5.9,28.1,79,155,Atypical Angina,False,3.1,True,Current,5.3,156,7.9,54.1,False,3085,46.1,1
+6478,58,Male,133,77,201,55,132,77,144,6.6,17.4,73,138,Asymptomatic,False,1.8,True,Former,8.0,58,7.6,58.2,True,4098,51.0,0
+6479,73,Male,113,71,174,53,92,145,149,6.5,28.1,73,151,Non-Anginal Pain,False,0.0,False,Former,5.9,102,6.1,34.9,True,8047,60.3,0
+6480,53,Female,96,64,216,59,135,116,152,6.5,26.0,84,163,Atypical Angina,False,0.2,False,Never,4.6,0,7.0,45.3,False,8350,66.4,0
+6481,64,Male,137,93,218,42,135,207,123,6.1,31.5,90,152,Non-Anginal Pain,False,2.6,False,Never,1.6,170,7.4,35.5,False,4430,50.2,1
+6482,66,Male,138,85,231,45,135,274,139,6.1,29.5,87,151,Asymptomatic,False,0.9,False,Former,20.5,125,6.0,46.8,False,6924,40.6,1
+6483,49,Male,109,68,153,58,77,119,131,5.6,18.6,83,155,Asymptomatic,False,0.9,True,Never,2.0,196,8.2,14.4,False,6794,57.7,1
+6484,61,Male,143,92,133,26,102,38,139,6.4,34.3,84,152,Asymptomatic,False,3.0,True,Former,1.7,9,9.4,69.7,False,5824,60.7,1
+6485,56,Male,133,74,150,57,63,135,117,5.7,23.7,86,166,Non-Anginal Pain,False,0.3,True,Never,1.8,65,8.2,52.9,True,5506,65.6,0
+6486,34,Male,99,77,178,42,93,208,141,6.2,26.4,82,135,Atypical Angina,False,0.4,False,Never,1.9,91,7.6,65.4,False,1109,40.9,1
+6487,44,Male,122,81,173,57,84,138,110,6.0,27.3,80,191,Non-Anginal Pain,False,0.5,True,Former,8.8,162,6.0,45.0,True,7605,63.5,0
+6488,45,Male,158,105,211,92,92,134,114,5.9,23.5,75,178,Asymptomatic,False,0.5,True,Former,7.3,161,5.9,46.9,False,7295,69.4,0
+6489,41,Female,101,65,174,72,88,36,114,5.4,19.0,65,176,Atypical Angina,False,1.3,False,Never,0.4,204,7.1,32.9,False,8824,71.8,0
+6490,44,Female,124,68,166,31,100,209,77,4.6,28.1,97,167,Atypical Angina,False,1.0,False,Never,0.7,114,8.1,33.5,False,5125,40.2,0
+6491,70,Male,128,83,198,53,116,182,119,6.3,16.0,81,122,Atypical Angina,True,1.3,False,Never,11.8,157,7.2,25.6,False,2303,49.1,1
+6492,45,Male,133,82,205,37,155,149,111,5.7,21.8,81,198,Asymptomatic,False,0.5,False,Former,4.5,145,8.1,34.5,False,5377,58.4,0
+6493,60,Female,137,88,189,44,111,195,137,5.6,25.1,71,165,Non-Anginal Pain,False,0.4,False,Never,1.2,165,7.2,26.0,False,2254,56.1,0
+6494,76,Male,144,93,196,43,105,227,175,7.7,25.7,87,130,Atypical Angina,False,0.7,False,Former,4.6,116,6.8,41.1,False,6460,51.6,1
+6495,53,Male,140,86,190,65,88,154,161,6.8,28.3,74,159,Asymptomatic,False,2.2,True,Never,11.1,134,7.0,58.3,True,8908,51.0,0
+6496,48,Male,142,93,209,47,110,213,93,4.9,23.1,72,175,Atypical Angina,False,0.3,False,Former,2.7,97,6.3,73.9,False,9261,73.5,0
+6497,58,Male,121,74,184,49,103,175,127,6.7,24.8,74,157,Asymptomatic,False,2.1,False,Former,3.9,162,7.4,37.8,False,5421,36.2,0
+6498,31,Female,115,82,240,64,137,203,119,5.8,22.0,74,180,Asymptomatic,False,0.1,False,Current,13.0,141,6.9,66.3,False,6114,36.1,0
+6499,43,Female,128,81,180,69,82,203,149,6.6,24.0,83,185,Atypical Angina,True,2.1,True,Former,1.7,244,6.2,55.8,True,8599,52.7,0
+6500,56,Male,120,73,192,76,73,176,137,6.2,22.5,64,175,Atypical Angina,False,0.5,False,Never,1.6,168,6.0,56.7,False,5654,44.5,0
+6501,25,Female,97,65,206,70,118,130,164,6.8,23.4,69,206,Non-Anginal Pain,False,0.2,False,Never,4.8,188,7.5,43.9,True,3822,76.7,0
+6502,70,Female,142,99,239,59,137,179,103,5.1,19.3,88,144,Asymptomatic,True,2.1,False,Never,11.9,90,5.8,56.4,False,500,58.8,0
+6503,61,Male,122,72,168,46,86,213,173,7.4,32.7,97,133,Atypical Angina,False,1.8,True,Never,4.4,146,5.0,82.8,False,8045,89.6,1
+6504,71,Male,125,85,179,65,72,189,123,5.8,22.6,82,143,Atypical Angina,True,2.0,False,Never,1.5,140,6.6,42.3,True,4915,49.9,1
+6505,48,Female,139,79,155,61,65,146,124,5.5,16.4,65,162,Typical Angina,False,1.0,False,Former,4.5,234,5.6,28.8,True,6582,36.5,0
+6506,53,Female,118,80,190,62,119,98,99,4.9,16.0,78,187,Asymptomatic,False,1.5,False,Never,3.8,154,7.7,39.4,False,5157,59.8,0
+6507,66,Female,156,85,155,40,98,152,129,6.1,25.3,68,163,Typical Angina,False,0.8,False,Former,1.6,179,8.9,75.8,True,5209,57.4,0
+6508,78,Female,146,93,248,63,132,278,113,5.6,29.0,94,158,Asymptomatic,False,1.4,True,Current,17.4,104,6.0,73.7,True,3725,43.5,1
+6509,66,Female,137,84,229,51,121,191,111,6.8,29.9,88,139,Asymptomatic,True,0.9,False,Current,3.2,74,7.3,65.6,False,7273,33.8,1
+6510,61,Male,96,50,213,71,124,169,131,6.3,24.9,66,178,Asymptomatic,False,0.8,False,Former,7.5,262,6.9,36.5,True,8352,42.5,0
+6511,76,Male,127,78,188,58,110,133,165,7.1,20.6,76,166,Asymptomatic,False,0.2,True,Never,8.8,53,7.7,68.3,False,3921,71.1,0
+6512,66,Female,108,79,174,42,109,141,101,5.8,23.6,75,138,Atypical Angina,True,3.0,False,Former,0.2,105,9.1,39.6,False,6772,61.6,1
+6513,27,Female,136,82,188,82,66,165,88,5.4,23.9,91,210,Atypical Angina,False,1.0,True,Former,4.8,195,7.0,59.6,True,7715,65.4,0
+6514,58,Female,123,67,191,62,127,38,119,5.5,17.3,82,168,Asymptomatic,False,0.2,False,Former,1.4,170,8.1,60.4,True,7242,64.0,0
+6515,56,Male,133,93,147,58,61,172,118,5.6,26.5,88,193,Atypical Angina,True,0.4,False,Never,12.3,188,8.3,60.6,True,8821,61.6,0
+6516,63,Female,135,95,183,60,86,111,112,5.7,22.9,89,165,Asymptomatic,False,1.8,False,Former,2.9,24,8.6,37.6,False,2880,57.6,0
+6517,62,Male,129,81,218,39,131,231,144,7.1,28.0,66,194,Atypical Angina,False,0.4,True,Never,2.2,192,7.3,42.1,True,7942,46.5,0
+6518,51,Female,151,101,194,67,101,154,121,5.3,24.8,78,158,Non-Anginal Pain,False,0.3,False,Never,31.1,145,5.4,39.4,True,8994,72.4,0
+6519,56,Female,137,97,193,51,103,144,117,5.8,26.1,71,145,Typical Angina,True,2.2,True,Former,0.9,136,6.1,84.9,False,6296,66.7,1
+6520,42,Male,122,78,227,44,140,239,165,7.3,34.5,82,165,Non-Anginal Pain,True,2.2,False,Current,10.2,112,5.3,50.9,False,2385,57.0,1
+6521,63,Female,115,82,215,67,127,118,95,5.3,22.6,79,137,Asymptomatic,True,1.6,True,Current,3.5,147,7.1,33.3,True,4878,49.7,0
+6522,54,Male,114,74,159,51,76,127,79,5.0,22.3,88,168,Asymptomatic,False,0.9,False,Never,1.6,136,5.3,50.9,True,9948,52.6,0
+6523,53,Male,146,79,178,29,117,112,164,6.5,27.5,77,175,Asymptomatic,False,2.2,True,Never,1.8,168,7.6,50.3,True,12456,63.9,0
+6524,72,Female,118,77,184,50,96,195,84,4.8,29.9,86,157,Non-Anginal Pain,False,0.7,False,Current,4.2,74,5.5,53.2,False,4909,43.9,0
+6525,61,Male,116,78,168,68,61,204,120,5.7,26.7,79,163,Atypical Angina,True,1.0,True,Never,2.5,9,8.0,47.6,False,2376,53.9,0
+6526,64,Male,135,99,186,47,116,110,115,4.7,19.2,82,156,Asymptomatic,False,2.6,False,Former,2.2,123,7.0,58.6,False,7279,82.0,0
+6527,53,Male,107,70,169,61,67,187,121,5.8,21.1,86,169,Asymptomatic,True,0.7,False,Never,3.0,168,5.5,36.3,True,7281,49.4,0
+6528,49,Male,119,66,186,62,101,176,123,6.1,24.8,73,182,Non-Anginal Pain,False,1.1,True,Former,4.5,192,6.3,52.4,False,3598,57.0,0
+6529,56,Female,127,91,240,54,123,226,147,6.5,24.9,80,180,Atypical Angina,True,0.8,True,Never,0.8,110,6.9,39.5,False,4894,62.0,1
+6530,58,Female,113,74,159,60,90,113,136,6.0,21.5,86,179,Asymptomatic,False,0.0,False,Former,3.0,115,6.2,32.5,False,5677,63.2,0
+6531,55,Male,118,64,156,45,97,63,120,5.8,15.9,87,158,Asymptomatic,False,1.1,True,Current,2.2,284,4.8,44.6,False,5214,53.7,1
+6532,57,Male,139,91,219,48,119,241,162,7.1,26.3,75,162,Atypical Angina,False,0.8,False,Former,16.6,155,7.3,52.6,True,6361,53.7,0
+6533,61,Female,106,57,153,57,76,107,135,5.9,23.8,91,157,Typical Angina,False,0.5,True,Never,4.1,184,7.5,27.0,True,4590,65.5,0
+6534,69,Male,135,92,180,49,104,211,123,5.6,32.7,69,141,Non-Anginal Pain,False,0.6,False,Never,5.0,137,4.9,64.2,False,2988,45.5,1
+6535,40,Male,109,81,138,60,48,112,118,5.8,19.6,79,176,Atypical Angina,False,0.2,False,Never,7.1,191,7.0,20.3,True,6119,60.6,0
+6536,43,Female,113,69,207,56,119,160,167,7.1,30.3,76,180,Asymptomatic,False,3.0,True,Former,2.0,155,6.1,20.4,True,5411,60.3,0
+6537,18,Male,110,79,93,29,61,55,134,6.4,26.9,79,201,Non-Anginal Pain,False,2.8,False,Former,5.3,107,6.7,44.4,False,6470,77.5,0
+6538,56,Female,136,86,173,71,66,168,86,5.2,25.0,75,172,Non-Anginal Pain,False,1.2,False,Never,2.8,117,8.4,66.0,False,5457,63.1,0
+6539,38,Female,124,82,183,49,84,183,160,6.9,33.1,81,177,Asymptomatic,False,0.5,False,Never,3.4,195,7.0,48.6,False,4444,62.9,0
+6540,29,Male,117,72,162,61,80,112,65,4.8,19.3,73,205,Asymptomatic,False,0.4,False,Never,4.9,236,6.1,45.5,False,6233,49.9,0
+6541,52,Male,123,84,207,67,98,212,118,6.0,28.6,89,183,Non-Anginal Pain,False,0.6,False,Never,7.7,140,7.1,35.2,False,3711,47.9,0
+6542,41,Male,117,75,156,41,88,187,130,5.7,29.8,77,167,Asymptomatic,False,2.5,False,Former,5.4,132,5.4,52.9,True,4965,44.1,0
+6543,67,Female,147,97,305,82,170,219,113,5.2,28.2,80,149,Asymptomatic,False,0.2,False,Never,6.6,50,8.5,57.1,False,5203,34.7,0
+6544,70,Female,146,95,213,51,131,185,159,7.2,29.5,80,130,Asymptomatic,False,0.5,True,Never,0.2,98,8.9,57.7,False,9172,62.5,1
+6545,62,Female,148,81,257,65,140,168,138,5.8,21.5,84,108,Asymptomatic,True,0.7,False,Former,7.3,101,8.7,27.9,False,4485,70.4,1
+6546,49,Female,151,90,232,66,136,172,113,5.6,23.3,81,152,Atypical Angina,False,1.2,False,Never,0.4,126,8.7,70.2,True,4632,56.8,0
+6547,36,Female,119,80,161,35,83,235,115,5.5,27.1,86,204,Atypical Angina,False,1.4,False,Current,3.3,131,7.9,48.6,False,6758,41.5,0
+6548,42,Male,131,91,184,49,98,211,133,6.2,29.7,80,179,Non-Anginal Pain,True,0.4,False,Former,9.8,175,5.0,68.0,False,3799,85.4,0
+6549,41,Female,134,91,193,77,87,94,71,4.5,25.3,89,199,Non-Anginal Pain,False,0.8,True,Never,1.8,219,6.9,59.8,True,7412,40.2,0
+6550,49,Female,153,94,186,44,119,123,124,5.5,26.2,85,167,Atypical Angina,True,2.5,True,Never,12.0,119,6.1,51.1,True,6154,62.0,1
+6551,50,Male,104,75,208,59,104,180,141,6.2,27.6,84,181,Atypical Angina,False,1.8,False,Former,3.9,79,7.6,55.5,False,7577,49.6,0
+6552,77,Female,142,92,94,59,35,67,129,6.6,17.7,75,142,Asymptomatic,False,0.0,False,Never,0.4,85,7.5,43.8,False,5971,68.4,0
+6553,65,Male,142,92,162,53,87,141,132,5.7,24.0,77,158,Atypical Angina,False,0.4,False,Never,8.6,147,4.0,34.5,True,5608,81.3,0
+6554,78,Male,132,83,167,26,100,226,122,6.7,32.1,92,124,Atypical Angina,True,1.1,False,Current,12.4,12,7.8,71.9,False,3074,35.4,1
+6555,57,Female,123,79,196,57,121,35,106,5.3,30.7,82,158,Asymptomatic,False,1.5,False,Never,3.5,202,7.0,47.6,True,7202,73.1,0
+6556,43,Male,105,58,145,56,62,127,95,5.1,24.2,80,159,Asymptomatic,False,1.1,False,Current,12.6,170,5.5,41.3,True,10620,42.5,1
+6557,46,Male,126,84,192,49,113,155,109,5.7,22.0,74,175,Asymptomatic,False,0.0,True,Never,7.5,220,8.0,20.6,True,11246,62.9,0
+6558,54,Female,108,66,153,65,72,137,153,6.5,20.7,69,171,Non-Anginal Pain,False,1.7,False,Never,2.5,127,6.8,22.2,True,7620,50.8,0
+6559,59,Female,131,83,203,68,102,170,121,5.6,25.7,106,138,Atypical Angina,False,1.9,False,Current,2.1,130,7.6,57.4,False,5870,47.4,1
+6560,69,Male,124,92,110,43,35,202,136,5.5,22.1,99,132,Atypical Angina,True,4.0,False,Current,5.2,193,5.8,49.8,False,4140,38.7,1
+6561,46,Female,113,80,190,76,78,161,130,5.9,24.8,78,192,Asymptomatic,False,0.5,True,Never,4.9,158,8.3,84.8,False,4644,70.3,0
+6562,49,Male,127,74,219,65,116,138,66,4.4,26.0,85,183,Asymptomatic,False,0.4,False,Never,13.3,168,7.5,33.9,True,6636,66.8,0
+6563,56,Male,139,86,155,40,88,128,105,5.4,21.7,73,154,Non-Anginal Pain,False,0.9,False,Former,10.3,96,6.6,35.8,True,7192,69.3,0
+6564,71,Female,119,86,209,74,124,106,72,4.3,23.3,73,137,Asymptomatic,False,0.6,False,Never,2.1,180,8.6,22.2,False,5625,82.3,0
+6565,48,Male,121,73,223,57,146,144,126,6.4,25.8,69,180,Asymptomatic,False,2.2,True,Current,5.8,257,8.1,32.1,False,6066,53.1,1
+6566,61,Male,107,76,180,52,99,117,114,6.2,19.5,74,173,Atypical Angina,True,1.2,True,Never,6.5,148,9.4,47.3,True,10082,86.9,1
+6567,40,Female,133,81,167,57,72,138,133,6.1,22.2,76,167,Atypical Angina,False,0.2,False,Never,1.4,146,6.7,52.3,False,3485,72.4,0
+6568,59,Male,129,80,196,56,104,135,91,4.8,32.3,80,150,Asymptomatic,False,0.3,False,Never,3.2,191,7.4,54.1,False,5510,42.4,1
+6569,60,Male,142,80,177,71,84,157,126,6.7,21.9,84,170,Non-Anginal Pain,False,1.1,False,Never,1.8,130,6.6,31.1,False,4267,59.2,0
+6570,61,Male,122,82,193,55,97,173,72,4.5,17.1,83,179,Asymptomatic,False,1.6,False,Current,12.6,152,5.8,34.8,False,5631,41.4,0
+6571,71,Male,127,83,161,64,94,69,148,6.4,28.1,85,171,Atypical Angina,False,0.4,False,Never,1.7,108,5.9,50.9,True,7981,65.2,0
+6572,53,Female,112,80,216,60,118,208,126,5.5,26.4,66,167,Asymptomatic,True,0.5,False,Former,12.5,186,6.6,32.7,False,3367,38.3,1
+6573,63,Female,147,111,223,64,125,171,134,6.9,27.9,86,153,Asymptomatic,False,1.0,False,Former,8.7,74,7.5,76.8,False,6848,58.6,1
+6574,42,Female,118,77,173,55,104,112,126,5.8,25.2,70,172,Asymptomatic,False,0.3,False,Never,3.2,171,5.2,36.7,False,1904,71.8,0
+6575,39,Male,116,74,200,45,131,121,115,5.8,26.6,90,175,Asymptomatic,True,1.2,False,Former,4.8,65,6.2,47.4,True,3868,62.8,0
+6576,53,Male,140,87,195,51,115,174,60,4.1,28.2,80,163,Asymptomatic,False,1.8,False,Never,8.6,44,6.7,38.9,False,4759,62.6,0
+6577,51,Male,151,87,209,57,118,179,97,4.7,24.6,77,155,Non-Anginal Pain,False,2.9,True,Never,7.3,165,6.7,77.5,False,3954,74.7,1
+6578,76,Male,153,92,187,30,145,143,128,6.4,28.3,84,136,Non-Anginal Pain,False,2.2,False,Never,2.4,107,7.6,37.1,False,7039,29.8,1
+6579,63,Male,142,92,162,60,79,145,122,5.3,27.5,81,158,Typical Angina,False,2.0,False,Never,2.9,129,7.5,40.5,False,3551,78.3,1
+6580,72,Male,153,100,184,35,109,160,99,5.5,28.1,76,165,Typical Angina,False,0.0,False,Never,16.7,181,6.9,60.6,True,8192,36.9,0
+6581,59,Male,127,83,234,38,172,169,155,6.8,27.4,89,133,Typical Angina,True,1.8,False,Current,1.7,124,6.0,61.8,False,9242,59.0,1
+6582,65,Female,127,73,233,68,125,202,144,6.8,37.2,92,135,Asymptomatic,True,0.5,False,Never,2.6,75,7.2,54.8,False,2183,43.6,1
+6583,50,Male,135,80,219,53,129,165,148,5.9,22.4,92,160,Asymptomatic,False,0.0,True,Never,6.0,90,5.6,67.4,False,4998,53.2,0
+6584,63,Male,156,106,186,55,82,156,105,5.2,24.6,85,149,Asymptomatic,False,0.2,False,Never,12.7,137,8.9,47.9,True,7749,61.7,0
+6585,47,Female,100,70,212,67,117,56,133,6.0,21.2,61,190,Non-Anginal Pain,False,0.6,False,Never,2.0,269,7.4,45.8,True,9059,71.4,0
+6586,48,Male,132,73,123,33,70,102,109,5.5,23.1,78,192,Atypical Angina,False,1.0,True,Current,8.1,210,5.4,51.2,True,6099,50.2,0
+6587,23,Female,105,66,167,52,84,145,125,4.7,18.6,80,185,Asymptomatic,False,0.3,False,Never,6.0,116,7.9,54.2,True,9599,75.8,0
+6588,59,Male,156,90,214,56,135,107,125,6.0,24.8,80,147,Non-Anginal Pain,False,1.6,False,Former,3.4,168,6.3,65.8,False,2287,62.1,1
+6589,66,Female,154,86,171,67,89,119,114,5.2,30.4,92,156,Asymptomatic,False,0.5,False,Never,5.6,116,6.8,82.9,False,4620,48.0,0
+6590,63,Female,135,70,185,79,67,147,110,5.7,24.5,86,144,Non-Anginal Pain,False,0.1,True,Never,3.2,172,6.2,46.4,True,6042,49.7,0
+6591,57,Male,124,78,185,41,104,185,134,6.0,28.6,88,164,Non-Anginal Pain,False,0.3,False,Never,4.6,120,6.5,38.6,False,7425,51.7,0
+6592,48,Female,117,69,156,39,86,122,142,6.9,25.6,83,171,Asymptomatic,False,0.6,False,Never,0.7,213,8.6,42.1,True,11416,47.9,0
+6593,24,Female,112,74,218,76,111,137,84,4.5,21.2,82,207,Asymptomatic,False,2.4,False,Never,0.6,149,6.9,70.8,False,4368,25.2,0
+6594,39,Female,129,83,188,65,75,232,74,4.4,25.8,58,205,Asymptomatic,False,0.6,True,Former,3.6,183,5.0,53.9,True,3891,49.4,0
+6595,52,Male,109,78,169,40,97,180,106,6.2,25.9,81,167,Non-Anginal Pain,True,0.1,False,Former,2.1,105,5.4,45.2,False,3367,55.8,0
+6596,63,Female,131,69,136,54,52,129,125,6.4,19.7,81,161,Typical Angina,False,0.8,False,Never,3.5,49,8.2,55.5,False,6394,65.5,0
+6597,70,Male,138,96,200,58,120,141,122,6.4,20.8,77,169,Asymptomatic,False,3.2,False,Never,1.6,133,5.4,45.5,False,3711,49.6,0
+6598,69,Female,119,83,158,59,62,186,122,6.2,20.8,93,123,Typical Angina,True,0.9,False,Never,5.3,216,5.6,61.5,True,7355,81.5,1
+6599,45,Male,108,55,166,75,77,104,104,5.5,19.7,79,180,Atypical Angina,False,0.2,False,Never,2.7,204,8.0,44.2,False,11080,67.4,0
+6600,51,Female,137,92,187,45,120,64,100,5.2,23.2,91,185,Atypical Angina,False,0.5,False,Current,0.6,174,8.0,72.3,True,7931,44.7,0
+6601,37,Female,127,87,165,61,86,97,116,5.2,23.7,75,186,Asymptomatic,False,0.3,True,Never,3.3,161,7.1,25.9,False,5619,57.5,0
+6602,30,Female,123,75,185,54,95,95,108,5.8,25.4,79,188,Asymptomatic,False,0.7,True,Never,2.5,237,7.0,36.6,True,8030,36.3,0
+6603,43,Female,114,72,161,73,63,96,130,5.7,26.5,66,191,Asymptomatic,False,0.4,True,Former,4.0,170,8.5,47.5,False,6508,65.2,0
+6604,44,Female,121,77,204,51,122,177,130,6.0,29.2,84,205,Atypical Angina,False,0.2,False,Never,6.7,97,7.4,56.6,True,5415,38.9,0
+6605,42,Female,140,82,189,73,93,107,117,5.9,17.0,73,181,Non-Anginal Pain,False,1.4,False,Former,15.7,202,7.5,51.5,False,5156,59.2,0
+6606,64,Male,99,58,174,42,95,184,94,4.8,21.0,91,162,Asymptomatic,False,0.2,False,Current,6.1,72,8.6,22.8,False,7690,64.9,0
+6607,73,Female,139,100,215,62,115,154,118,6.1,25.5,74,160,Asymptomatic,False,1.2,True,Former,1.3,142,7.2,53.2,True,6769,55.7,0
+6608,44,Female,141,85,161,67,78,70,95,4.5,27.2,89,182,Asymptomatic,False,0.6,False,Current,3.2,272,7.3,24.9,True,9190,71.3,0
+6609,76,Male,119,78,218,58,115,218,106,5.5,19.1,80,120,Non-Anginal Pain,False,0.6,False,Never,20.5,70,4.6,39.7,False,4818,51.9,1
+6610,32,Female,124,77,138,40,69,138,67,4.1,15.0,78,192,Asymptomatic,True,0.1,False,Never,10.9,127,7.7,70.4,True,6489,41.1,0
+6611,60,Female,143,81,162,76,64,105,88,5.1,24.6,92,177,Asymptomatic,False,0.4,False,Never,4.8,124,6.8,47.8,True,6881,73.1,0
+6612,62,Female,153,98,225,65,111,227,91,5.2,22.7,76,159,Asymptomatic,False,1.5,False,Never,0.6,106,6.7,47.5,False,5765,48.3,0
+6613,36,Male,106,82,161,52,94,95,119,5.8,18.0,81,200,Atypical Angina,False,0.8,True,Never,6.7,187,6.6,16.7,True,9187,69.5,0
+6614,67,Female,150,92,236,69,134,140,118,5.7,31.4,83,162,Asymptomatic,False,1.5,False,Former,0.0,40,5.1,34.2,False,5290,68.9,0
+6615,49,Female,155,100,239,45,123,247,101,5.4,32.9,95,160,Atypical Angina,True,2.0,True,Never,1.8,109,4.8,70.1,True,5809,49.2,1
+6616,57,Female,98,63,190,66,95,118,127,6.2,15.2,68,173,Asymptomatic,True,1.2,False,Never,0.5,166,7.5,64.4,True,9095,52.5,0
+6617,69,Male,135,88,179,59,100,105,97,4.4,15.0,82,141,Asymptomatic,False,1.0,True,Never,2.6,86,7.1,64.6,False,3000,77.5,0
+6618,63,Female,137,90,204,64,114,128,92,4.8,25.9,83,156,Asymptomatic,False,0.3,False,Never,1.2,151,7.5,48.7,True,6274,73.9,0
+6619,48,Male,116,67,248,59,147,198,97,4.8,22.3,87,172,Typical Angina,True,0.1,False,Current,3.1,212,8.1,39.8,True,4428,32.8,1
+6620,53,Male,135,86,132,48,74,138,111,5.6,25.1,71,169,Asymptomatic,False,1.6,True,Never,6.1,146,8.5,60.2,True,7884,61.1,0
+6621,77,Female,138,90,205,43,123,206,172,7.4,26.8,80,125,Non-Anginal Pain,False,1.0,False,Former,0.3,66,6.0,40.4,False,5787,54.8,1
+6622,32,Male,118,70,136,57,74,100,108,5.7,22.0,71,179,Asymptomatic,False,1.5,False,Former,8.9,242,5.3,45.9,True,9896,54.7,0
+6623,66,Female,137,88,175,73,83,110,102,4.9,23.9,92,165,Non-Anginal Pain,False,0.0,True,Former,5.5,53,7.2,67.3,False,4450,63.8,0
+6624,67,Male,109,76,194,38,125,149,110,5.3,19.7,71,140,Typical Angina,False,0.9,True,Former,2.5,147,6.3,32.6,True,7369,53.0,1
+6625,79,Male,123,72,123,46,47,169,131,6.7,24.0,78,103,Typical Angina,True,0.7,False,Never,8.3,234,8.2,38.2,True,4934,58.0,1
+6626,71,Male,124,100,147,55,77,101,71,4.5,19.5,90,138,Asymptomatic,True,0.5,False,Current,9.8,62,6.7,37.8,False,4109,66.3,0
+6627,34,Female,121,83,194,58,80,264,131,5.9,28.4,95,174,Asymptomatic,False,0.4,False,Current,5.0,98,6.2,38.2,True,8380,42.3,0
+6628,62,Female,113,58,131,49,47,248,97,5.1,29.4,86,146,Atypical Angina,True,0.2,False,Former,3.2,66,7.0,43.2,False,5414,37.9,0
+6629,59,Male,114,77,228,69,124,124,118,6.2,20.8,72,183,Non-Anginal Pain,False,0.5,False,Never,1.8,225,7.1,57.2,True,8878,55.7,0
+6630,65,Female,120,73,181,49,107,178,185,7.3,26.1,101,124,Typical Angina,True,0.2,False,Never,6.4,121,6.4,100.0,True,7365,67.8,1
+6631,78,Male,142,88,198,70,95,181,132,6.7,31.1,78,129,Asymptomatic,False,2.5,True,Never,3.7,188,7.1,38.3,True,7464,82.8,1
+6632,59,Female,122,79,161,60,63,190,162,6.9,18.9,88,172,Non-Anginal Pain,True,1.9,False,Never,8.3,147,7.0,52.2,False,7699,48.6,0
+6633,52,Female,95,54,216,65,134,115,118,5.2,19.6,81,169,Non-Anginal Pain,False,0.4,False,Former,0.1,162,11.0,47.7,False,9429,82.7,0
+6634,51,Female,147,88,225,48,122,199,101,5.5,26.3,88,174,Asymptomatic,False,0.8,False,Never,13.1,45,7.6,28.7,False,3878,57.2,0
+6635,68,Male,129,76,234,72,128,168,126,6.4,21.9,93,172,Asymptomatic,False,0.5,False,Never,11.0,83,4.8,46.1,False,5533,61.8,0
+6636,40,Female,109,78,143,50,56,163,147,6.5,30.2,83,173,Non-Anginal Pain,False,1.4,False,Never,3.1,199,7.3,70.0,True,8399,56.4,0
+6637,63,Male,127,72,177,68,75,156,104,5.3,21.4,78,139,Asymptomatic,False,0.9,False,Former,5.1,103,6.9,72.4,False,6006,60.2,0
+6638,59,Male,123,68,227,76,121,255,98,4.7,23.0,85,145,Atypical Angina,True,4.0,False,Never,2.0,184,7.3,52.1,True,6700,66.2,1
+6639,31,Male,115,72,115,37,35,184,97,4.9,24.1,100,166,Non-Anginal Pain,False,0.4,False,Former,3.8,40,5.1,61.6,False,4194,51.9,0
+6640,61,Male,141,88,138,36,74,169,134,5.8,20.1,82,160,Asymptomatic,False,0.7,False,Never,7.4,38,6.8,54.0,True,3985,62.1,0
+6641,40,Male,170,95,190,22,111,238,120,6.1,35.0,91,146,Typical Angina,False,2.3,False,Former,5.1,103,8.2,76.1,False,4372,53.3,1
+6642,80,Male,144,92,187,44,104,197,158,7.1,28.2,85,131,Atypical Angina,True,3.9,False,Never,3.1,114,6.1,45.5,False,5320,89.1,1
+6643,42,Female,97,62,220,73,139,81,95,5.5,21.7,69,148,Atypical Angina,False,2.0,False,Former,1.5,228,6.5,23.9,True,9043,67.4,0
+6644,67,Female,155,103,238,75,121,171,121,5.0,21.5,81,152,Asymptomatic,False,0.2,False,Current,3.5,111,7.1,90.2,True,9569,66.2,0
+6645,51,Female,141,82,201,35,129,236,99,5.1,31.9,79,174,Atypical Angina,True,0.7,False,Never,0.5,84,8.8,71.9,False,2946,58.9,1
+6646,40,Female,97,59,180,87,94,35,124,5.9,17.4,72,180,Atypical Angina,False,0.3,True,Never,0.4,275,6.2,8.9,True,5903,72.8,0
+6647,60,Male,138,90,223,68,122,155,75,4.5,19.6,82,193,Asymptomatic,True,0.6,False,Never,3.9,219,7.3,70.4,True,10309,64.6,0
+6648,37,Female,125,79,209,75,113,136,83,4.7,23.1,97,186,Asymptomatic,True,0.7,True,Never,6.0,182,7.1,36.0,True,5748,52.4,0
+6649,51,Male,117,82,156,41,77,134,112,5.2,26.8,79,170,Typical Angina,False,2.1,False,Former,2.1,169,7.4,21.3,False,2908,61.0,0
+6650,73,Female,154,110,271,50,170,201,101,5.4,35.8,68,152,Asymptomatic,True,1.1,True,Never,7.0,46,6.4,51.9,False,1782,47.4,0
+6651,50,Female,110,70,239,57,140,225,149,6.2,27.6,87,172,Asymptomatic,False,0.7,True,Never,9.2,115,7.0,50.7,False,6288,52.0,0
+6652,83,Male,141,93,197,48,104,185,103,5.8,27.8,78,135,Asymptomatic,True,1.0,False,Never,3.0,150,6.2,50.3,True,6595,64.7,1
+6653,68,Female,135,79,216,73,104,134,138,6.4,28.1,70,137,Non-Anginal Pain,True,4.2,True,Current,4.4,198,6.2,40.2,True,6359,62.2,1
+6654,34,Male,112,74,157,46,95,123,103,5.1,21.9,77,194,Asymptomatic,False,0.9,True,Former,3.4,20,5.9,48.4,False,4424,54.4,0
+6655,83,Male,143,83,132,48,48,202,167,6.8,33.2,88,141,Asymptomatic,False,1.2,False,Former,7.6,150,7.9,53.3,False,5936,77.5,1
+6656,76,Female,166,95,231,65,114,224,112,5.9,33.5,81,169,Atypical Angina,False,0.5,False,Never,16.2,110,5.8,48.2,True,7237,55.1,0
+6657,29,Female,102,66,203,43,158,48,114,5.3,20.5,86,190,Non-Anginal Pain,True,0.3,False,Former,2.0,230,7.0,55.3,True,9686,84.8,0
+6658,50,Female,131,85,196,39,115,182,120,5.6,22.8,58,173,Non-Anginal Pain,False,0.1,False,Current,3.7,131,8.1,40.6,False,5909,69.1,0
+6659,78,Female,116,77,185,67,112,101,133,6.3,23.8,76,131,Non-Anginal Pain,False,0.8,False,Never,0.1,111,6.9,57.8,False,4656,58.5,0
+6660,53,Female,132,82,210,45,149,35,95,5.2,25.8,89,151,Typical Angina,False,1.7,False,Current,4.3,151,4.5,69.6,False,6608,43.6,1
+6661,55,Male,117,87,241,70,152,140,95,5.0,22.7,65,197,Non-Anginal Pain,False,0.5,True,Never,9.0,223,8.4,21.9,True,5460,61.1,0
+6662,42,Male,126,84,190,46,118,120,115,5.6,25.4,81,180,Atypical Angina,True,0.4,True,Former,2.2,97,8.5,31.1,False,4508,76.1,0
+6663,55,Male,140,90,178,54,99,148,132,5.9,26.4,73,162,Asymptomatic,False,0.6,False,Former,5.8,241,5.8,11.8,True,9854,79.9,0
+6664,61,Female,132,72,198,53,124,167,131,5.7,26.5,75,154,Asymptomatic,True,1.3,False,Former,0.1,147,7.1,46.5,False,2991,55.4,1
+6665,79,Female,149,92,184,77,82,115,124,6.0,29.8,81,142,Asymptomatic,False,2.2,False,Never,10.9,86,7.8,59.5,False,5718,57.5,0
+6666,45,Female,116,56,162,49,70,195,133,6.9,29.8,92,176,Non-Anginal Pain,True,0.5,True,Never,4.3,168,9.4,51.6,True,7866,56.2,0
+6667,56,Male,121,85,187,60,106,206,60,4.0,20.6,78,187,Asymptomatic,False,1.9,False,Never,32.7,253,5.3,53.6,True,7474,88.5,0
+6668,77,Female,139,85,187,60,89,216,160,7.0,27.2,95,150,Non-Anginal Pain,False,0.9,False,Former,0.9,225,6.3,48.4,False,6714,56.1,0
+6669,62,Female,113,70,185,52,99,167,117,6.4,23.5,62,168,Typical Angina,False,1.4,False,Former,6.2,171,7.0,18.1,True,8251,73.9,0
+6670,38,Female,106,71,189,82,52,278,113,5.4,22.8,73,199,Asymptomatic,False,0.1,True,Never,13.5,149,7.2,75.2,False,3388,44.8,0
+6671,65,Male,142,96,217,59,111,246,135,6.4,27.4,86,157,Non-Anginal Pain,True,0.7,False,Never,2.3,101,6.4,62.4,False,3590,78.6,0
+6672,60,Male,125,83,163,60,110,69,113,4.9,20.7,94,156,Typical Angina,True,1.5,False,Former,8.4,96,7.2,56.4,False,4044,74.5,1
+6673,32,Male,124,84,175,38,127,116,122,6.0,29.3,71,210,Asymptomatic,False,1.1,True,Current,2.1,108,7.0,59.5,True,4829,53.7,0
+6674,73,Female,132,81,187,58,101,120,121,6.2,21.2,72,153,Non-Anginal Pain,False,0.4,False,Never,1.2,152,7.1,45.4,False,3176,75.5,0
+6675,37,Male,137,97,138,70,50,84,106,5.5,24.6,85,198,Typical Angina,False,0.2,False,Former,6.0,166,7.6,59.3,True,9375,71.6,0
+6676,70,Male,146,89,202,66,88,216,137,6.5,28.2,83,165,Asymptomatic,True,2.5,False,Never,23.3,139,6.0,70.1,False,6714,32.5,1
+6677,58,Male,137,90,164,70,67,81,152,6.9,19.9,86,154,Atypical Angina,False,2.3,False,Never,2.1,80,6.6,33.2,False,4060,79.2,0
+6678,63,Female,114,72,248,67,151,167,124,6.4,24.6,73,130,Typical Angina,False,1.5,True,Current,4.8,144,8.0,11.7,True,8575,41.7,1
+6679,38,Male,130,88,191,77,92,139,87,4.7,21.7,72,190,Typical Angina,False,0.3,True,Never,6.1,166,8.0,34.6,True,10502,81.3,0
+6680,45,Male,121,79,193,48,102,187,117,5.6,22.0,97,188,Asymptomatic,False,0.5,True,Never,1.7,78,7.7,72.8,False,3678,47.4,0
+6681,56,Male,139,89,200,61,87,215,127,6.2,29.9,86,184,Atypical Angina,False,0.2,False,Never,1.6,209,6.6,1.5,True,6669,77.7,0
+6682,46,Male,106,68,168,68,81,90,115,5.7,21.7,80,167,Non-Anginal Pain,False,0.3,False,Current,10.7,284,7.0,43.2,True,10228,72.5,0
+6683,40,Male,107,57,197,45,122,146,111,5.5,27.0,87,167,Asymptomatic,True,4.8,False,Never,3.8,130,6.8,39.8,False,6704,75.4,1
+6684,48,Male,108,76,172,62,85,160,128,5.7,16.3,72,186,Atypical Angina,False,1.0,True,Former,1.7,191,8.0,66.1,False,6727,65.8,0
+6685,42,Female,115,82,238,37,167,196,124,5.9,24.8,77,183,Atypical Angina,False,2.2,True,Current,5.2,134,7.7,51.2,False,6692,54.1,1
+6686,56,Female,139,85,187,66,100,114,130,5.9,21.4,77,175,Non-Anginal Pain,False,0.3,False,Never,2.8,108,5.6,41.2,True,7045,61.3,0
+6687,44,Male,125,74,224,58,104,241,110,5.7,31.3,69,172,Atypical Angina,False,0.5,False,Former,18.2,237,6.8,44.0,False,4822,57.5,0
+6688,18,Female,114,71,223,55,124,224,127,6.4,31.8,99,210,Asymptomatic,False,0.6,False,Former,5.5,127,6.4,45.7,False,4401,62.2,0
+6689,77,Female,147,91,178,42,106,89,105,5.5,23.4,96,122,Asymptomatic,False,0.3,False,Current,0.5,17,7.3,54.6,False,3093,33.0,1
+6690,54,Female,107,68,197,58,116,138,109,6.0,28.1,80,148,Atypical Angina,False,0.8,False,Current,1.7,162,7.2,29.6,True,4631,64.0,1
+6691,62,Female,125,67,157,63,81,142,113,5.6,19.3,63,124,Typical Angina,True,3.4,False,Never,2.7,143,8.1,26.8,False,4866,45.6,1
+6692,27,Male,121,73,111,47,35,176,137,6.5,25.1,84,183,Non-Anginal Pain,False,0.3,True,Former,2.8,261,7.2,50.9,True,6826,84.6,0
+6693,39,Female,114,71,181,57,104,119,134,5.9,24.0,66,172,Non-Anginal Pain,False,0.1,True,Never,4.0,237,8.5,52.1,True,7108,84.3,0
+6694,54,Female,130,86,230,51,138,186,135,6.2,26.3,92,147,Typical Angina,False,1.3,True,Never,19.4,116,6.7,42.8,False,6320,67.5,1
+6695,84,Female,124,69,229,85,98,228,131,5.6,19.5,104,126,Asymptomatic,True,0.0,False,Never,26.7,92,6.6,65.0,False,3569,40.0,1
+6696,59,Male,133,79,150,54,78,89,113,5.7,23.6,78,145,Atypical Angina,True,1.5,False,Never,2.5,100,7.3,59.9,True,3911,100.0,1
+6697,48,Female,130,94,151,43,84,73,100,4.9,18.0,96,159,Typical Angina,False,1.6,False,Never,2.4,19,4.7,54.3,False,7995,49.6,1
+6698,56,Female,119,84,222,56,141,108,121,5.9,22.7,80,165,Atypical Angina,True,0.1,True,Current,2.3,156,6.8,38.6,False,8281,50.5,1
+6699,34,Male,125,86,198,65,88,192,115,5.4,25.2,87,203,Asymptomatic,False,0.4,False,Never,4.9,117,8.1,63.0,False,5339,40.3,0
+6700,39,Female,105,59,217,71,94,190,118,5.9,23.2,74,186,Asymptomatic,False,0.6,False,Never,6.2,294,8.6,26.4,True,8551,61.9,0
+6701,65,Male,120,71,209,40,134,119,105,5.3,21.8,97,170,Asymptomatic,False,0.3,False,Former,2.8,213,6.4,38.8,True,6627,87.3,0
+6702,55,Female,108,67,219,56,122,165,122,6.0,30.1,85,153,Asymptomatic,False,2.8,False,Former,2.5,53,8.2,23.8,True,9975,40.8,1
+6703,57,Male,115,61,155,48,94,110,150,6.5,31.3,95,156,Non-Anginal Pain,True,0.2,False,Former,1.5,96,9.3,68.6,True,10028,50.4,1
+6704,70,Female,133,74,164,30,98,196,119,6.3,24.9,84,149,Asymptomatic,False,0.4,True,Never,8.3,137,7.5,45.9,True,6089,45.9,0
+6705,57,Male,121,66,189,59,105,125,115,5.9,25.4,90,156,Non-Anginal Pain,False,0.3,False,Never,1.5,111,6.9,61.9,False,9072,62.9,0
+6706,33,Male,143,84,181,28,106,138,102,5.7,35.0,86,203,Non-Anginal Pain,False,0.6,False,Former,2.3,86,6.5,50.0,True,9200,55.1,0
+6707,76,Female,142,82,185,39,132,117,149,6.5,29.6,89,144,Asymptomatic,False,0.2,False,Never,1.0,143,7.7,42.2,True,8374,68.8,0
+6708,63,Male,144,86,163,55,95,138,121,6.2,25.5,88,157,Asymptomatic,False,0.8,False,Never,4.5,108,4.9,33.7,False,6654,65.3,0
+6709,68,Male,114,68,188,55,110,186,112,5.5,24.5,90,124,Typical Angina,False,1.7,False,Current,1.6,43,7.9,76.6,False,3281,35.3,1
+6710,46,Male,120,81,182,48,90,234,116,6.1,30.6,86,172,Asymptomatic,False,1.1,False,Never,1.6,123,8.9,32.8,False,2279,68.6,0
+6711,60,Male,133,92,230,54,118,316,98,5.4,32.1,103,142,Asymptomatic,True,1.3,True,Never,1.7,113,7.3,39.8,False,8495,65.2,1
+6712,75,Female,135,77,183,42,99,227,138,5.8,23.3,61,154,Asymptomatic,False,1.6,False,Never,4.9,227,7.5,36.2,False,6177,51.4,0
+6713,46,Female,143,96,166,48,89,171,117,5.6,23.4,94,167,Non-Anginal Pain,False,1.0,False,Never,22.8,95,5.1,79.4,False,2820,63.9,0
+6714,65,Male,144,95,165,58,67,241,95,5.3,24.4,79,148,Atypical Angina,False,1.1,False,Former,5.5,107,7.5,77.8,False,5258,59.9,1
+6715,73,Female,124,73,158,69,63,142,116,5.3,19.9,86,144,Asymptomatic,False,0.9,False,Never,8.7,77,5.7,24.2,False,7868,65.5,0
+6716,80,Female,142,88,210,46,140,96,149,6.9,22.4,75,129,Asymptomatic,True,0.9,True,Never,0.1,89,7.8,41.2,True,6041,64.6,1
+6717,38,Female,124,66,153,59,74,124,88,4.8,24.7,85,183,Atypical Angina,False,1.2,False,Never,1.0,93,8.4,51.9,True,7151,53.8,0
+6718,39,Female,140,89,195,56,118,92,100,5.5,21.0,97,172,Asymptomatic,False,2.3,False,Never,2.6,180,7.6,66.7,False,5274,74.3,0
+6719,43,Female,130,95,190,46,97,237,78,4.9,29.6,78,187,Asymptomatic,False,1.0,False,Never,7.5,141,9.1,19.3,False,7160,61.1,0
+6720,54,Female,149,96,236,41,154,179,140,6.4,32.4,89,167,Atypical Angina,True,1.0,False,Current,4.6,81,6.9,51.3,False,5234,59.7,1
+6721,52,Female,127,77,116,52,53,113,153,6.6,26.3,91,170,Atypical Angina,True,2.0,True,Never,3.3,87,7.4,37.4,True,9491,65.2,0
+6722,56,Female,124,75,191,71,95,121,86,4.3,21.7,74,180,Atypical Angina,False,0.1,False,Never,5.9,238,6.7,63.0,False,7709,73.0,0
+6723,61,Female,118,79,184,72,98,97,119,5.7,16.1,76,160,Asymptomatic,False,0.7,False,Never,1.2,216,4.9,40.2,True,8079,64.9,0
+6724,44,Female,113,77,169,54,80,191,95,5.1,26.5,85,171,Asymptomatic,False,0.0,False,Never,4.3,189,7.5,63.1,False,6656,41.5,0
+6725,62,Female,136,83,201,57,123,131,123,6.2,26.2,75,160,Non-Anginal Pain,False,2.3,False,Never,0.4,131,6.0,59.1,False,2135,65.1,0
+6726,39,Female,114,71,160,52,82,140,154,6.0,23.7,97,200,Non-Anginal Pain,True,0.1,False,Never,4.9,98,6.8,70.7,False,5106,75.2,0
+6727,51,Male,132,78,138,47,63,108,73,4.9,20.8,73,171,Non-Anginal Pain,False,0.1,False,Never,13.6,205,8.2,65.4,True,7867,50.7,0
+6728,34,Male,119,79,138,49,60,168,127,5.8,22.3,95,175,Atypical Angina,False,0.7,True,Never,2.8,109,7.7,46.0,False,500,44.7,0
+6729,77,Male,112,73,203,61,107,172,138,6.8,24.1,73,138,Non-Anginal Pain,False,0.0,False,Never,9.2,111,5.1,49.2,False,3506,59.1,0
+6730,18,Male,109,71,228,51,133,175,97,5.0,24.9,69,210,Atypical Angina,False,1.7,True,Never,5.3,135,9.9,31.4,False,8407,50.1,0
+6731,46,Male,127,86,168,59,81,167,111,5.8,23.5,86,157,Typical Angina,False,2.1,False,Former,1.7,59,7.0,42.6,False,4844,40.2,1
+6732,34,Female,118,76,159,50,66,177,113,5.1,29.0,84,193,Asymptomatic,True,0.7,False,Never,3.4,165,8.8,8.9,True,8426,68.1,0
+6733,62,Female,156,85,219,58,115,255,117,5.8,35.7,85,150,Atypical Angina,False,1.0,False,Former,8.1,124,5.9,43.1,False,5463,66.7,1
+6734,63,Female,135,97,167,64,79,121,90,4.4,18.4,72,161,Non-Anginal Pain,False,2.2,False,Never,17.3,150,7.5,9.0,True,6515,62.6,0
+6735,51,Male,126,81,132,47,60,179,131,6.2,30.9,93,165,Asymptomatic,True,0.7,True,Former,8.2,92,7.5,70.0,False,2762,58.5,1
+6736,39,Female,125,77,210,49,91,249,132,6.3,23.6,86,185,Asymptomatic,False,0.3,False,Never,13.4,204,10.0,39.7,False,2788,63.0,0
+6737,34,Female,100,56,142,62,69,120,75,4.9,21.9,72,180,Asymptomatic,False,1.3,True,Never,4.9,167,7.3,34.7,True,5266,83.8,0
+6738,43,Male,105,63,192,65,79,198,134,5.7,29.1,69,168,Typical Angina,False,2.5,False,Former,3.9,78,4.8,64.1,False,5877,59.4,0
+6739,54,Male,121,72,161,57,99,115,96,5.5,24.7,83,186,Non-Anginal Pain,False,0.2,False,Never,2.2,220,6.3,34.4,False,3943,71.4,0
+6740,71,Female,121,68,186,53,107,90,143,6.0,23.0,85,148,Typical Angina,True,2.6,False,Current,6.4,123,7.4,35.3,False,4955,60.8,1
+6741,60,Female,141,101,223,27,146,167,142,6.5,28.1,87,134,Atypical Angina,False,0.6,False,Never,1.6,52,6.7,38.3,False,4686,59.9,1
+6742,69,Female,127,90,199,50,118,187,121,6.2,25.8,87,173,Asymptomatic,False,0.1,False,Never,8.3,95,6.1,49.9,True,8691,67.5,0
+6743,53,Male,120,66,146,65,62,139,84,5.0,20.1,69,168,Asymptomatic,False,0.3,False,Never,2.4,179,5.7,53.3,False,7386,73.3,0
+6744,53,Male,120,71,197,59,110,150,136,6.3,29.5,74,146,Atypical Angina,False,2.2,True,Never,2.3,96,7.6,74.1,False,6010,47.8,1
+6745,59,Female,116,76,197,54,122,71,137,6.0,23.4,74,174,Asymptomatic,False,1.1,False,Former,2.5,116,6.4,49.4,False,4359,57.8,0
+6746,58,Female,143,90,197,62,102,159,115,5.0,23.4,95,137,Asymptomatic,False,3.0,False,Current,6.6,138,6.3,31.2,True,7506,23.9,1
+6747,45,Female,133,79,171,70,58,141,136,6.8,22.5,77,178,Atypical Angina,True,0.6,True,Never,10.1,96,6.5,28.6,True,8004,64.7,0
+6748,64,Female,139,80,215,57,100,359,120,5.9,28.6,91,152,Non-Anginal Pain,True,2.4,False,Never,43.3,139,5.2,69.2,True,7256,64.4,1
+6749,59,Male,128,79,173,48,83,150,103,5.5,18.8,81,161,Atypical Angina,False,1.1,False,Never,10.2,96,6.2,31.9,False,5695,89.0,0
+6750,46,Male,134,103,172,53,93,110,118,6.0,25.3,74,169,Non-Anginal Pain,False,2.6,False,Current,3.1,151,6.8,65.6,False,6919,67.5,0
+6751,62,Male,146,96,227,72,125,160,180,7.6,24.7,71,156,Asymptomatic,True,0.9,False,Former,3.9,109,6.8,60.0,False,5000,66.9,1
+6752,47,Female,123,75,217,55,123,151,109,5.2,26.8,74,170,Asymptomatic,False,0.1,False,Current,4.2,111,5.9,18.0,True,6511,36.0,0
+6753,52,Male,158,93,227,50,147,154,121,5.4,30.0,83,157,Asymptomatic,False,0.1,False,Former,2.5,124,7.3,41.1,False,5743,33.9,1
+6754,48,Female,136,89,178,53,77,183,94,5.0,24.6,85,177,Atypical Angina,True,0.4,False,Current,1.2,108,8.3,61.0,True,8303,63.9,0
+6755,55,Male,129,78,185,54,92,99,136,6.3,32.7,79,170,Non-Anginal Pain,False,0.2,False,Never,1.7,204,9.2,53.3,False,3532,81.8,0
+6756,66,Female,130,77,163,68,70,115,111,5.5,21.6,87,153,Asymptomatic,False,0.3,False,Former,5.9,136,7.8,36.3,False,5090,69.9,0
+6757,37,Male,131,80,194,55,111,129,122,5.8,20.3,74,203,Atypical Angina,False,2.7,False,Former,8.7,244,6.2,51.8,True,5764,76.5,0
+6758,60,Male,141,97,176,50,112,107,130,6.3,25.0,83,150,Non-Anginal Pain,False,0.2,False,Never,5.4,117,4.4,56.5,False,5025,42.4,0
+6759,51,Male,122,71,129,47,81,93,135,6.2,20.1,81,188,Asymptomatic,True,0.8,False,Former,1.9,132,6.5,77.0,False,4612,86.0,0
+6760,45,Female,104,71,173,76,69,95,140,6.1,25.2,72,204,Asymptomatic,False,0.8,False,Never,2.5,181,6.3,42.0,True,9404,70.1,0
+6761,38,Male,137,94,205,70,96,205,113,5.5,27.5,87,192,Atypical Angina,False,0.9,False,Never,5.5,223,6.0,53.5,False,7397,68.5,0
+6762,63,Male,138,94,195,36,158,35,139,6.7,28.6,91,125,Asymptomatic,True,0.6,True,Current,2.3,88,6.6,42.9,True,8588,45.7,1
+6763,50,Male,152,102,202,54,116,128,98,5.1,27.3,81,180,Asymptomatic,False,1.7,False,Never,4.0,160,7.9,45.3,False,8255,94.6,0
+6764,58,Male,136,94,194,61,90,163,87,5.0,21.0,79,143,Asymptomatic,False,1.6,False,Never,1.8,0,6.6,89.3,False,2016,72.6,0
+6765,59,Female,118,80,251,67,150,110,159,6.8,20.6,70,182,Non-Anginal Pain,False,0.8,False,Never,0.4,174,7.0,22.5,True,7803,58.5,0
+6766,75,Female,131,88,200,62,123,118,145,6.3,20.8,84,151,Asymptomatic,True,2.3,False,Former,5.2,116,7.3,58.2,True,5214,65.0,0
+6767,74,Female,151,108,153,55,75,144,94,5.1,32.6,86,127,Atypical Angina,False,1.1,True,Never,12.0,31,6.8,71.1,False,4820,43.3,1
+6768,67,Female,105,63,211,61,128,133,116,5.5,22.8,85,136,Non-Anginal Pain,True,0.3,False,Never,1.6,82,6.1,50.5,False,2474,55.1,1
+6769,67,Male,136,86,233,58,122,216,140,6.5,28.7,77,127,Atypical Angina,False,1.5,False,Never,13.2,93,7.5,52.3,False,5745,52.7,1
+6770,84,Male,145,91,171,46,97,115,107,5.3,29.0,99,115,Atypical Angina,True,1.3,False,Former,6.9,18,7.4,57.7,False,5581,66.2,1
+6771,60,Female,120,77,183,54,96,154,106,5.8,25.1,81,164,Asymptomatic,False,2.0,False,Never,1.1,248,7.2,49.4,True,6262,63.3,0
+6772,64,Male,146,88,225,58,132,131,135,6.0,19.8,95,134,Asymptomatic,False,1.9,True,Current,10.5,96,6.3,51.1,True,5312,64.8,1
+6773,63,Male,139,94,218,42,124,158,98,5.4,30.0,90,154,Atypical Angina,True,2.1,False,Current,2.9,187,7.2,61.4,True,8166,82.5,1
+6774,47,Male,134,89,206,50,128,114,109,5.9,28.4,71,177,Atypical Angina,False,0.7,False,Current,7.4,207,6.1,61.6,False,5588,60.7,0
+6775,56,Female,120,80,172,50,101,100,141,6.8,22.8,76,185,Non-Anginal Pain,False,0.3,False,Current,1.7,197,6.0,42.5,False,5247,50.3,0
+6776,57,Female,148,96,154,49,85,121,103,5.8,20.9,77,144,Asymptomatic,False,1.1,True,Never,3.5,3,7.5,41.4,True,7846,53.8,1
+6777,58,Female,113,72,171,55,91,168,119,6.0,24.5,88,161,Asymptomatic,False,0.8,False,Never,3.7,81,5.4,40.7,False,4193,53.9,0
+6778,58,Male,133,96,214,46,145,114,122,5.5,20.8,84,149,Asymptomatic,True,1.1,False,Former,7.6,35,6.3,32.4,False,5179,38.4,1
+6779,54,Female,120,69,214,49,119,204,70,4.6,23.8,79,174,Atypical Angina,False,0.7,True,Current,8.5,145,7.4,66.2,False,1874,64.2,0
+6780,65,Male,127,81,142,62,57,134,155,6.8,25.4,88,174,Asymptomatic,False,0.0,False,Former,1.7,112,6.6,55.1,False,4181,85.0,0
+6781,40,Male,133,86,171,61,79,180,98,4.9,23.2,67,171,Non-Anginal Pain,False,0.4,False,Never,7.3,276,8.4,43.3,True,7045,66.1,0
+6782,61,Male,148,88,182,37,115,203,107,5.0,29.8,74,167,Atypical Angina,True,0.9,True,Former,5.7,197,8.2,42.8,True,4308,48.6,1
+6783,45,Male,103,71,169,71,76,129,113,5.9,29.3,83,183,Asymptomatic,False,2.3,False,Never,2.5,169,8.0,0.8,True,7725,69.0,0
+6784,28,Female,130,79,227,66,104,212,116,5.1,28.9,90,193,Atypical Angina,False,0.1,False,Former,1.9,192,7.6,53.0,True,6043,34.4,0
+6785,36,Male,150,107,227,45,135,140,79,4.3,22.9,83,186,Typical Angina,False,0.8,True,Never,8.6,142,6.4,62.3,False,7463,84.6,0
+6786,54,Male,126,76,209,57,102,182,103,5.3,26.1,69,167,Asymptomatic,False,0.1,False,Current,3.3,211,7.7,44.0,False,5523,64.9,0
+6787,64,Male,147,102,187,73,87,127,139,6.8,27.1,80,117,Non-Anginal Pain,False,1.9,False,Never,3.9,125,7.6,45.2,False,7403,47.6,1
+6788,48,Female,135,78,207,50,111,225,100,5.0,28.7,71,177,Asymptomatic,False,0.7,True,Never,6.8,120,7.8,46.1,True,7865,72.0,0
+6789,53,Male,129,71,148,61,40,236,171,7.1,27.1,74,182,Typical Angina,False,0.4,False,Former,11.0,155,7.5,45.1,True,8844,67.1,0
+6790,61,Male,143,74,235,58,132,157,121,5.7,27.6,82,143,Asymptomatic,True,0.3,False,Never,1.8,0,6.4,52.5,False,2119,32.1,1
+6791,50,Female,125,76,236,54,142,211,114,6.0,25.5,80,168,Asymptomatic,True,4.4,True,Former,10.6,186,9.1,33.0,False,7876,61.9,1
+6792,63,Female,136,77,184,49,108,133,147,6.2,29.7,98,163,Asymptomatic,True,0.2,False,Former,0.3,136,7.8,48.2,False,8109,62.1,0
+6793,73,Male,127,73,197,50,113,193,113,5.6,30.5,86,124,Non-Anginal Pain,True,2.8,False,Never,9.7,84,8.8,59.2,False,7007,44.7,1
+6794,70,Male,136,88,185,47,107,173,117,5.5,29.1,94,131,Asymptomatic,True,0.6,False,Current,2.7,82,6.5,73.6,False,5469,55.0,1
+6795,45,Male,111,77,180,53,115,93,92,5.3,16.8,90,184,Asymptomatic,False,0.9,False,Never,1.9,47,7.2,44.9,False,1860,59.5,0
+6796,41,Male,131,75,118,55,44,107,119,5.7,28.5,63,157,Non-Anginal Pain,False,0.6,True,Never,9.3,244,6.4,50.4,False,9229,92.1,0
+6797,80,Male,122,91,168,60,95,107,145,6.9,20.8,71,135,Atypical Angina,False,1.1,False,Former,17.1,172,7.3,19.5,False,563,58.9,0
+6798,71,Female,139,87,198,46,138,101,161,6.6,26.1,85,148,Asymptomatic,False,0.0,False,Former,7.9,34,7.4,50.3,True,8613,61.3,0
+6799,74,Male,138,90,143,60,69,99,147,6.1,26.0,79,157,Non-Anginal Pain,False,0.1,False,Former,2.6,223,6.2,11.8,True,8469,87.1,0
+6800,59,Female,141,89,228,37,137,279,134,5.9,33.8,81,154,Typical Angina,False,0.3,False,Never,6.0,62,8.4,53.4,False,6668,65.5,0
+6801,48,Male,125,80,154,43,80,121,78,4.0,21.8,79,178,Asymptomatic,True,0.6,True,Never,9.1,85,6.4,48.4,False,6492,82.2,0
+6802,65,Male,120,77,240,62,124,281,111,5.4,17.9,89,167,Asymptomatic,False,0.9,True,Never,2.1,223,7.4,24.2,True,9358,52.2,0
+6803,41,Female,116,63,188,59,97,139,116,5.6,19.0,66,202,Asymptomatic,False,1.4,False,Never,1.0,233,4.6,59.3,True,8722,75.9,0
+6804,52,Male,110,57,187,58,97,98,96,5.1,15.0,80,180,Non-Anginal Pain,False,1.6,False,Never,10.5,319,7.2,36.6,True,6619,46.9,0
+6805,63,Female,110,69,145,54,63,144,72,4.4,28.5,65,176,Atypical Angina,False,0.6,False,Never,0.5,215,8.6,14.8,True,6974,98.4,0
+6806,58,Male,121,79,201,48,102,175,115,5.5,18.9,73,183,Atypical Angina,False,0.3,False,Current,2.0,241,7.4,28.9,False,7269,56.4,0
+6807,45,Female,135,88,250,91,99,190,143,6.2,18.1,86,180,Asymptomatic,False,2.0,False,Never,2.4,151,7.5,60.2,False,7139,51.9,0
+6808,62,Male,137,88,178,59,105,128,89,4.7,20.8,75,135,Atypical Angina,False,0.9,False,Never,8.3,182,6.9,67.4,True,8518,51.3,1
+6809,52,Male,130,87,246,31,166,238,168,7.0,33.8,74,166,Non-Anginal Pain,False,0.7,False,Current,3.5,56,9.0,61.5,False,4054,29.5,0
+6810,65,Male,145,91,181,31,106,233,82,4.8,28.1,84,135,Non-Anginal Pain,True,0.2,True,Current,2.7,86,6.4,40.4,False,4858,36.2,1
+6811,52,Female,129,76,237,54,130,225,112,5.2,24.4,77,201,Non-Anginal Pain,False,0.0,True,Never,12.8,296,6.0,58.7,True,6665,58.2,0
+6812,54,Female,111,65,182,47,109,135,120,5.2,19.8,80,167,Asymptomatic,False,1.1,True,Current,1.0,124,5.7,57.0,True,7244,68.5,0
+6813,42,Female,102,54,185,36,112,227,126,6.4,31.6,82,200,Non-Anginal Pain,False,1.0,False,Never,1.4,139,6.2,56.1,False,5538,58.7,0
+6814,80,Female,126,83,236,70,143,92,119,6.0,23.1,76,129,Non-Anginal Pain,False,0.2,False,Former,0.1,142,6.4,53.3,False,6350,73.3,0
+6815,76,Male,119,68,219,52,151,124,112,5.1,17.5,86,130,Atypical Angina,False,0.2,False,Never,6.1,165,10.5,63.2,True,7071,42.3,1
+6816,45,Male,151,84,171,64,81,163,145,5.7,24.3,83,169,Typical Angina,False,1.9,False,Never,1.5,167,7.4,57.3,True,7121,64.4,0
+6817,49,Female,130,87,188,43,104,201,123,5.5,25.5,79,170,Asymptomatic,True,1.1,False,Current,9.1,108,9.1,46.9,True,7900,59.0,0
+6818,71,Female,116,84,205,59,120,127,116,5.6,19.6,96,151,Non-Anginal Pain,False,0.3,True,Never,1.4,117,8.3,49.1,False,8272,91.7,0
+6819,41,Male,102,60,209,50,129,156,136,6.0,27.3,83,152,Asymptomatic,False,2.0,False,Former,4.2,93,5.4,52.4,False,813,55.0,1
+6820,69,Male,117,79,191,54,96,202,95,5.2,24.3,83,155,Non-Anginal Pain,False,0.4,True,Never,11.8,112,5.8,49.2,False,2838,76.6,0
+6821,66,Female,133,76,182,67,72,214,118,6.0,24.7,87,137,Typical Angina,True,0.8,False,Former,6.1,24,8.1,47.9,False,4767,53.0,1
+6822,50,Male,129,76,168,40,75,262,134,6.6,28.3,78,151,Asymptomatic,True,0.2,False,Former,13.7,78,7.2,43.8,True,5397,39.2,1
+6823,70,Female,139,97,236,49,143,157,78,4.3,23.3,94,147,Atypical Angina,False,2.0,False,Current,0.9,109,6.8,90.9,True,6657,34.0,1
+6824,60,Male,127,86,195,48,110,162,158,6.9,28.9,99,161,Atypical Angina,False,0.3,False,Never,8.0,60,5.6,54.2,False,4891,49.0,0
+6825,58,Female,147,99,131,64,54,99,129,6.0,18.7,66,167,Atypical Angina,False,1.9,False,Former,7.2,141,6.1,52.4,False,3771,48.4,0
+6826,59,Female,132,83,164,38,92,202,164,7.1,29.9,77,142,Typical Angina,True,0.7,False,Never,3.5,65,10.1,34.4,False,3047,45.4,1
+6827,59,Male,91,60,209,62,106,147,79,5.4,15.0,81,164,Non-Anginal Pain,False,0.1,True,Never,4.3,86,4.1,72.5,False,2805,77.6,0
+6828,41,Female,133,83,212,62,114,214,121,5.5,31.0,95,175,Typical Angina,False,0.7,False,Never,1.9,197,7.1,19.8,False,7341,53.1,0
+6829,56,Female,136,77,249,79,132,223,132,6.3,32.8,88,148,Asymptomatic,False,0.8,True,Former,10.9,128,7.4,54.4,True,5575,57.4,1
+6830,53,Male,131,72,218,46,123,252,147,6.2,32.5,80,159,Asymptomatic,False,0.4,False,Never,1.7,78,8.6,67.7,True,6548,83.7,1
+6831,52,Male,121,77,234,63,143,109,83,5.0,31.9,68,171,Asymptomatic,False,0.3,False,Never,2.2,117,5.2,61.7,False,3204,52.8,0
+6832,61,Female,110,80,212,50,129,212,109,5.7,27.0,81,158,Atypical Angina,False,1.1,False,Never,5.2,132,5.8,24.1,True,7045,37.6,0
+6833,51,Male,131,77,169,45,89,182,116,5.4,23.8,74,140,Typical Angina,True,0.8,True,Never,11.3,87,6.1,39.1,False,6388,40.1,1
+6834,58,Female,114,70,93,24,55,47,92,5.6,19.9,65,181,Asymptomatic,False,0.0,False,Former,1.3,72,8.2,64.4,False,5155,60.8,0
+6835,63,Male,144,90,135,64,40,184,111,5.4,26.1,83,142,Typical Angina,False,0.1,False,Never,2.8,172,6.3,52.1,False,6054,59.8,1
+6836,46,Female,120,86,158,54,66,150,121,6.0,30.4,93,183,Asymptomatic,False,1.0,True,Former,1.6,154,7.6,36.0,True,8427,67.6,0
+6837,54,Male,115,81,196,59,105,115,100,5.3,19.3,84,168,Asymptomatic,False,0.8,False,Never,9.2,176,8.0,59.4,False,5831,61.7,0
+6838,43,Male,110,74,216,40,137,118,155,7.3,23.8,85,184,Asymptomatic,False,0.8,False,Never,5.7,245,7.3,21.5,True,6707,51.2,1
+6839,52,Male,112,69,124,20,84,110,109,5.5,29.1,74,154,Atypical Angina,False,1.0,True,Never,1.7,188,8.2,69.2,True,7846,59.9,1
+6840,65,Female,151,94,160,53,86,190,114,6.2,22.7,73,175,Asymptomatic,False,0.6,False,Never,1.2,198,5.7,43.2,True,8615,65.4,0
+6841,61,Male,119,70,188,45,105,191,121,6.1,34.3,78,168,Non-Anginal Pain,False,2.2,False,Never,9.3,114,7.1,50.6,False,7016,74.4,0
+6842,32,Male,120,85,165,47,83,130,115,5.6,26.5,77,203,Typical Angina,False,1.1,False,Never,10.5,67,7.1,34.4,True,10055,76.0,0
+6843,43,Male,108,70,203,68,121,109,154,6.2,20.8,70,198,Asymptomatic,False,0.2,False,Never,4.0,312,8.4,29.8,True,9750,78.2,0
+6844,60,Male,123,76,173,38,119,112,108,5.6,22.4,80,146,Asymptomatic,True,1.4,True,Former,17.9,140,9.2,64.2,False,3791,51.6,1
+6845,20,Male,123,82,172,63,81,151,124,5.9,21.3,70,202,Non-Anginal Pain,False,3.0,False,Never,3.2,113,6.6,56.6,True,7505,51.6,0
+6846,49,Female,161,99,163,47,85,120,157,6.9,27.6,90,177,Non-Anginal Pain,False,0.2,False,Never,7.8,169,6.5,87.0,True,4718,92.4,0
+6847,40,Male,114,69,214,55,132,167,103,5.5,27.9,84,191,Non-Anginal Pain,True,0.6,False,Never,3.9,169,5.9,60.2,True,9025,61.5,0
+6848,54,Male,127,73,121,41,71,38,79,4.4,18.8,68,172,Asymptomatic,False,0.9,True,Former,5.6,42,9.1,37.9,False,4882,59.3,0
+6849,26,Female,88,50,178,76,74,139,60,4.8,20.4,74,208,Atypical Angina,False,0.5,True,Never,7.9,280,8.8,26.2,True,10132,58.7,0
+6850,49,Male,107,68,160,48,81,121,124,5.8,20.1,90,175,Asymptomatic,False,0.8,True,Former,4.2,186,6.3,28.1,True,5965,53.0,0
+6851,53,Female,121,81,186,64,82,163,170,6.7,26.7,78,180,Asymptomatic,False,2.2,False,Never,9.2,163,7.1,41.2,False,8649,52.1,0
+6852,31,Male,94,54,177,68,102,120,98,5.1,24.1,80,205,Non-Anginal Pain,False,0.7,True,Former,13.5,176,8.2,45.9,True,8654,58.5,0
+6853,60,Female,146,81,161,59,70,112,110,5.8,24.9,70,163,Non-Anginal Pain,False,0.4,False,Never,10.6,117,6.8,62.7,False,3944,74.1,0
+6854,58,Female,161,101,143,30,83,165,134,6.3,24.6,96,171,Non-Anginal Pain,True,0.3,False,Current,3.9,119,7.4,79.4,False,500,41.5,1
+6855,63,Female,152,84,251,60,140,220,105,6.3,30.5,81,124,Asymptomatic,False,1.9,False,Never,13.8,133,6.8,38.9,True,7311,50.6,1
+6856,40,Male,122,76,171,51,68,252,166,7.5,26.8,86,174,Asymptomatic,False,2.2,False,Former,1.7,159,7.7,55.4,True,9061,91.6,0
+6857,58,Male,124,80,175,64,85,172,115,5.1,28.8,79,168,Asymptomatic,False,0.4,False,Former,10.3,110,7.1,29.6,True,7266,57.4,0
+6858,52,Female,114,75,148,51,79,155,133,6.4,24.1,98,158,Asymptomatic,False,1.0,False,Current,6.1,124,6.4,43.9,True,6744,50.2,1
+6859,64,Female,127,84,145,54,83,60,128,5.6,16.2,80,165,Asymptomatic,False,0.3,False,Former,4.2,182,8.9,84.9,False,4651,51.6,0
+6860,62,Female,151,98,162,48,97,110,156,7.2,26.8,88,134,Non-Anginal Pain,True,2.7,True,Current,3.3,79,6.9,57.4,False,7702,62.7,1
+6861,47,Male,131,74,175,63,82,132,104,5.3,18.7,87,156,Atypical Angina,True,0.5,True,Former,3.6,166,7.4,60.1,False,6192,56.7,1
+6862,55,Female,121,69,154,56,75,124,110,5.3,25.9,80,190,Asymptomatic,False,0.5,False,Never,1.8,95,8.1,36.2,False,5623,54.1,0
+6863,62,Female,139,78,232,51,148,170,145,6.4,21.3,84,151,Asymptomatic,False,1.0,False,Current,5.2,74,7.7,40.8,False,2481,38.2,1
+6864,52,Female,131,76,187,70,59,275,109,6.0,22.7,60,171,Typical Angina,False,1.3,False,Never,0.1,161,7.3,50.8,True,6904,84.4,0
+6865,64,Male,126,79,200,50,114,146,112,5.4,21.8,73,136,Asymptomatic,True,1.6,False,Former,4.0,0,6.3,51.4,False,3866,94.5,1
+6866,59,Female,157,91,220,51,130,151,162,7.0,27.6,84,174,Asymptomatic,False,1.0,True,Never,6.6,117,6.4,21.4,False,7914,87.5,0
+6867,57,Male,138,87,154,46,91,83,117,5.6,21.1,87,201,Typical Angina,False,1.1,False,Former,1.8,173,8.5,61.7,False,6858,54.6,0
+6868,47,Male,133,88,237,49,154,120,131,6.5,38.0,65,163,Asymptomatic,False,2.8,False,Never,1.5,107,8.2,53.8,True,3510,67.4,1
+6869,43,Male,150,102,226,56,125,165,111,5.8,25.6,76,147,Asymptomatic,False,1.7,False,Never,1.8,117,5.3,60.7,False,6765,60.1,1
+6870,28,Female,118,76,173,69,87,132,70,4.4,20.4,74,196,Typical Angina,False,0.4,False,Never,6.7,135,6.9,45.9,False,3116,61.4,0
+6871,29,Female,112,71,183,55,103,134,107,4.9,20.1,68,180,Asymptomatic,False,0.9,False,Never,10.3,176,6.5,52.4,True,9953,64.3,0
+6872,36,Male,117,69,191,44,92,220,143,6.0,28.4,86,170,Typical Angina,True,0.7,False,Former,8.4,101,8.8,27.5,False,5018,78.3,1
+6873,55,Female,116,64,163,24,78,239,128,6.4,31.5,83,191,Asymptomatic,False,0.2,False,Never,0.3,119,5.5,34.9,False,7241,34.2,1
+6874,44,Male,127,76,173,59,89,101,133,5.7,23.5,71,187,Non-Anginal Pain,False,1.7,True,Former,3.4,68,7.1,44.7,False,6581,65.1,0
+6875,50,Female,122,74,195,73,103,154,92,5.0,28.0,74,195,Non-Anginal Pain,False,0.8,True,Never,0.2,207,6.0,34.2,True,7965,47.9,0
+6876,56,Male,135,95,152,58,76,35,157,6.5,15.0,83,149,Asymptomatic,False,0.2,False,Former,5.9,119,7.0,52.5,False,5037,68.6,0
+6877,23,Male,117,87,210,34,124,221,108,5.1,30.4,75,197,Atypical Angina,True,0.3,False,Never,2.6,173,7.3,56.2,False,6865,49.2,0
+6878,51,Male,123,80,200,62,100,156,151,6.6,34.5,80,173,Asymptomatic,False,0.1,False,Former,11.9,112,7.8,59.3,False,6236,64.4,0
+6879,79,Female,127,72,215,60,110,209,123,5.6,21.9,87,151,Asymptomatic,False,2.0,False,Current,0.4,190,5.9,48.8,True,7764,61.3,0
+6880,52,Male,133,82,184,56,100,127,123,6.0,23.7,71,168,Atypical Angina,False,0.3,False,Former,17.2,211,8.4,13.4,True,9492,75.2,0
+6881,43,Female,131,83,209,64,100,155,130,5.8,26.4,88,179,Asymptomatic,False,0.4,False,Former,12.4,143,5.4,61.6,False,8216,49.0,0
+6882,47,Female,126,85,206,55,147,71,131,5.8,25.4,65,176,Atypical Angina,False,0.8,False,Never,6.4,67,5.4,62.2,True,5447,100.0,0
+6883,38,Male,132,84,244,70,121,283,118,5.7,24.9,79,179,Asymptomatic,False,0.5,False,Former,2.4,190,6.1,33.1,True,11161,44.7,0
+6884,57,Female,127,73,213,74,134,85,114,5.1,16.6,78,169,Non-Anginal Pain,False,0.3,False,Current,1.6,133,5.6,45.6,True,6860,51.5,0
+6885,80,Male,140,83,150,48,67,110,122,5.4,20.3,91,143,Atypical Angina,False,1.0,False,Never,2.9,104,6.0,76.3,True,7079,50.1,0
+6886,79,Female,130,86,218,44,120,205,86,4.7,22.8,84,134,Non-Anginal Pain,False,0.3,False,Never,12.7,113,7.4,56.5,True,6934,64.0,0
+6887,29,Male,102,56,109,43,52,97,153,6.1,28.6,92,182,Atypical Angina,False,0.8,False,Never,3.4,93,6.4,33.4,False,2096,59.7,0
+6888,47,Female,132,81,127,52,77,106,120,5.7,27.0,79,164,Typical Angina,False,0.5,False,Former,10.6,136,9.4,40.1,True,7267,46.7,0
+6889,63,Male,121,72,181,88,73,114,79,4.4,22.0,65,148,Non-Anginal Pain,False,1.3,False,Current,4.5,284,7.3,17.3,True,9644,66.3,0
+6890,47,Female,133,84,217,77,103,170,126,6.0,23.0,86,158,Atypical Angina,False,1.0,False,Current,17.4,89,7.2,59.8,False,5145,70.7,0
+6891,80,Male,142,92,153,48,65,188,118,5.6,27.4,85,118,Asymptomatic,True,1.2,True,Former,1.7,114,8.0,50.4,False,2437,23.8,1
+6892,41,Male,123,74,195,62,119,143,153,6.7,25.8,85,190,Atypical Angina,False,0.6,False,Current,4.9,55,7.8,57.6,False,6206,54.0,0
+6893,64,Female,116,76,227,56,132,187,119,6.4,29.1,88,129,Asymptomatic,True,1.0,True,Former,4.9,95,6.1,34.9,True,3775,54.3,0
+6894,50,Female,146,88,188,42,109,182,145,6.6,27.2,79,148,Asymptomatic,True,0.8,False,Former,9.1,71,8.6,56.6,False,7250,51.9,1
+6895,44,Female,120,77,228,62,120,193,110,5.3,26.4,86,197,Non-Anginal Pain,False,0.5,True,Former,5.9,166,7.4,53.4,True,7984,65.8,0
+6896,27,Male,108,74,165,57,79,183,124,5.9,24.3,74,181,Non-Anginal Pain,False,1.0,False,Former,13.9,94,8.1,31.9,False,5403,38.6,0
+6897,56,Female,122,74,166,51,108,86,106,5.1,22.2,74,188,Non-Anginal Pain,False,0.8,False,Never,7.1,140,6.5,82.2,False,2983,66.3,0
+6898,65,Female,155,97,206,49,151,151,133,5.8,27.5,100,138,Asymptomatic,False,0.7,True,Former,0.0,5,5.9,72.5,False,1794,42.4,0
+6899,62,Male,116,71,200,74,95,99,134,6.8,24.2,73,185,Asymptomatic,False,0.2,True,Never,1.5,180,7.6,36.5,True,7480,66.2,0
+6900,64,Male,127,90,145,35,106,52,170,7.0,27.7,107,130,Atypical Angina,False,3.1,True,Current,5.6,45,7.6,24.7,False,4620,57.9,1
+6901,56,Male,139,86,213,53,126,188,98,5.5,27.1,77,191,Asymptomatic,False,1.5,False,Never,4.2,152,6.9,18.6,True,7425,58.7,0
+6902,57,Male,136,82,229,61,142,184,133,6.3,22.7,80,146,Asymptomatic,False,0.1,False,Former,2.8,152,6.4,33.5,True,8342,85.1,0
+6903,70,Male,128,72,175,55,78,148,88,5.6,20.0,92,149,Atypical Angina,False,2.5,False,Current,3.3,146,8.2,37.6,True,9370,82.6,1
+6904,28,Female,130,97,240,64,135,146,124,5.8,24.1,99,210,Typical Angina,False,0.3,False,Former,0.3,149,6.8,29.2,True,7831,48.4,0
+6905,68,Female,144,86,229,58,122,244,148,6.4,29.4,82,157,Atypical Angina,True,2.6,False,Former,5.0,150,5.4,43.7,True,5726,63.9,1
+6906,54,Male,111,64,215,47,154,152,91,4.5,24.5,88,150,Non-Anginal Pain,False,0.2,True,Never,12.6,129,6.7,48.3,False,9195,64.4,1
+6907,37,Female,132,91,174,64,75,145,112,6.2,26.0,77,205,Asymptomatic,False,1.7,False,Current,0.2,305,6.3,52.8,False,10613,94.6,0
+6908,57,Male,112,78,152,30,101,153,115,5.5,21.0,89,173,Asymptomatic,False,1.2,True,Former,2.9,132,6.1,39.5,False,4897,85.6,0
+6909,30,Female,117,64,180,82,74,68,172,7.4,30.0,76,193,Atypical Angina,False,0.1,False,Former,5.7,122,5.6,51.5,True,5120,60.5,0
+6910,63,Female,131,95,176,50,81,196,108,4.9,21.5,86,133,Asymptomatic,False,0.4,True,Never,5.1,118,8.8,54.4,False,6110,73.5,0
+6911,51,Male,148,96,183,63,87,217,141,6.8,34.4,76,158,Asymptomatic,False,0.1,True,Never,2.5,187,6.2,26.6,True,5870,49.5,1
+6912,42,Male,130,89,195,43,88,199,128,6.2,27.3,87,178,Typical Angina,True,1.6,False,Current,3.1,159,6.8,20.4,True,6636,54.6,1
+6913,75,Female,133,83,203,51,129,94,138,6.8,23.8,88,134,Typical Angina,False,0.5,False,Never,4.7,43,6.4,88.3,False,1137,70.7,1
+6914,28,Female,129,75,202,48,111,208,137,6.4,27.2,80,210,Asymptomatic,False,0.3,False,Never,18.7,143,7.1,29.0,False,10688,78.4,0
+6915,74,Female,140,91,99,18,56,150,151,6.9,24.4,90,136,Atypical Angina,True,0.3,False,Current,1.6,26,5.8,59.4,False,2827,55.9,1
+6916,66,Male,137,87,173,54,95,146,136,5.9,27.2,86,175,Asymptomatic,False,2.7,True,Former,4.3,247,7.5,31.4,True,11663,55.6,0
+6917,38,Female,111,64,164,65,48,221,98,4.9,23.4,86,183,Atypical Angina,False,0.7,False,Former,7.9,9,7.5,57.7,False,3767,49.7,0
+6918,50,Male,99,63,181,61,80,172,144,6.2,23.4,84,159,Asymptomatic,False,0.2,False,Former,6.2,208,6.7,53.2,False,7517,60.4,0
+6919,38,Female,128,82,178,59,109,108,111,5.7,23.8,77,183,Asymptomatic,True,0.4,False,Never,0.8,133,7.2,20.0,False,3470,70.5,0
+6920,39,Male,117,73,219,61,115,216,146,6.8,19.8,92,196,Non-Anginal Pain,False,0.3,False,Never,10.7,156,8.3,65.8,False,8889,70.0,0
+6921,85,Male,130,81,154,43,89,163,137,6.6,22.2,89,116,Atypical Angina,True,1.5,False,Never,3.7,57,6.1,61.1,False,2753,61.6,1
+6922,42,Female,123,77,169,47,92,157,93,5.5,32.5,89,179,Non-Anginal Pain,False,2.7,False,Current,4.3,95,6.4,59.7,True,6136,77.0,0
+6923,55,Male,131,90,172,39,94,204,132,6.3,33.2,88,171,Asymptomatic,False,2.1,False,Former,7.3,96,6.8,49.9,False,5284,44.5,0
+6924,66,Female,130,87,206,56,131,112,148,6.9,27.7,80,116,Non-Anginal Pain,False,1.9,False,Current,0.3,43,7.8,52.1,False,3640,30.9,1
+6925,49,Male,141,87,170,54,72,152,128,5.3,27.4,89,184,Atypical Angina,False,0.1,True,Never,5.1,101,6.5,53.7,False,4717,75.8,0
+6926,45,Male,126,86,217,47,120,210,128,5.6,26.0,81,210,Asymptomatic,False,1.7,False,Current,10.6,220,6.1,10.9,True,7123,56.0,0
+6927,56,Female,103,58,210,94,72,196,129,5.5,17.8,71,140,Typical Angina,True,0.2,False,Former,5.9,190,7.2,65.8,True,8239,52.0,1
+6928,53,Male,147,102,245,68,137,150,151,6.6,18.8,81,164,Asymptomatic,True,0.3,False,Current,7.2,159,6.9,56.2,False,5320,65.0,0
+6929,41,Female,99,64,140,71,42,94,60,4.0,20.8,69,210,Asymptomatic,False,0.3,False,Never,1.6,226,7.5,37.6,True,6155,64.9,0
+6930,55,Male,149,95,243,88,106,237,134,6.0,22.9,84,166,Non-Anginal Pain,False,0.2,False,Never,8.1,126,6.5,68.2,False,4579,51.3,0
+6931,40,Male,117,79,176,53,88,187,129,5.6,23.4,73,203,Asymptomatic,False,1.2,True,Never,1.8,221,6.0,55.7,False,6245,81.6,0
+6932,49,Female,109,64,176,67,82,119,141,6.0,26.6,94,168,Typical Angina,False,0.6,False,Never,0.6,94,8.2,51.5,True,6740,71.7,0
+6933,56,Female,136,89,183,63,88,174,126,6.0,26.3,92,160,Typical Angina,True,1.0,False,Current,1.0,105,6.4,63.6,True,5816,47.9,1
+6934,68,Male,152,81,218,57,126,158,133,6.3,23.7,78,157,Atypical Angina,True,3.1,False,Never,13.0,271,9.6,54.4,True,6375,53.3,1
+6935,46,Male,116,70,153,44,83,72,92,5.4,15.0,95,142,Asymptomatic,False,0.6,False,Never,3.7,3,7.6,51.2,True,5452,63.1,0
+6936,37,Female,115,59,281,56,177,214,120,5.2,33.8,80,158,Non-Anginal Pain,False,0.8,True,Never,0.8,118,5.3,51.2,True,6443,51.7,1
+6937,52,Female,116,65,229,59,134,168,115,5.3,20.1,81,154,Non-Anginal Pain,True,0.7,False,Current,5.8,119,5.6,46.5,True,6833,55.3,1
+6938,59,Male,150,110,161,37,63,250,125,5.8,27.5,88,146,Asymptomatic,False,0.8,False,Current,20.9,77,6.0,51.5,False,4690,26.7,1
+6939,66,Male,125,90,187,53,104,196,100,5.5,27.3,86,160,Asymptomatic,True,1.4,True,Former,2.9,169,7.1,24.4,True,6889,91.5,0
+6940,53,Female,138,94,123,49,59,116,93,4.9,18.8,69,187,Non-Anginal Pain,False,0.1,False,Former,4.9,121,6.9,38.2,False,6736,72.8,0
+6941,40,Female,116,89,144,63,61,58,107,5.3,19.0,86,184,Atypical Angina,False,0.8,False,Never,2.3,192,7.4,33.4,True,7969,64.3,0
+6942,39,Male,133,78,263,55,170,164,147,6.6,23.6,88,193,Asymptomatic,False,0.2,False,Former,16.7,162,6.9,47.5,True,6494,68.6,0
+6943,36,Male,124,74,162,36,88,217,113,6.0,23.7,81,176,Non-Anginal Pain,True,1.6,False,Former,12.5,105,7.9,57.4,False,4044,47.1,0
+6944,53,Female,139,82,171,42,96,122,119,5.8,20.8,80,164,Non-Anginal Pain,False,0.3,False,Never,0.2,94,5.9,40.9,True,7349,26.3,0
+6945,39,Female,112,73,193,65,97,134,73,4.4,19.6,78,188,Asymptomatic,False,0.7,False,Never,11.9,160,6.0,26.2,False,4389,59.9,0
+6946,47,Female,124,77,214,65,112,170,135,5.7,30.2,81,165,Asymptomatic,False,0.8,False,Current,8.2,208,6.7,37.6,False,6042,61.7,0
+6947,64,Male,127,75,171,45,83,229,111,6.0,23.7,81,142,Non-Anginal Pain,False,0.9,False,Never,9.5,221,7.3,42.4,True,7262,69.9,0
+6948,47,Female,113,68,196,55,109,132,70,4.3,16.4,77,183,Asymptomatic,False,1.3,False,Former,2.2,214,5.3,69.9,True,8342,70.2,0
+6949,54,Male,120,73,178,61,76,149,130,6.4,27.1,79,155,Atypical Angina,True,0.9,False,Current,5.4,117,6.2,35.1,False,6286,46.6,1
+6950,55,Female,106,60,223,65,125,138,133,6.4,17.9,73,181,Asymptomatic,False,0.8,False,Former,4.0,217,7.3,15.5,True,6846,49.0,0
+6951,40,Female,111,70,166,70,64,193,155,7.1,26.5,68,163,Typical Angina,False,0.4,True,Never,3.3,83,6.9,24.8,False,5890,80.4,1
+6952,46,Male,134,87,160,50,76,146,118,5.5,28.8,80,169,Atypical Angina,False,0.4,False,Never,4.8,71,5.5,30.8,False,7440,75.0,0
+6953,61,Male,94,57,230,54,134,213,108,5.6,23.4,70,161,Non-Anginal Pain,True,2.0,True,Former,4.4,281,5.5,48.7,True,7040,57.2,1
+6954,38,Female,119,76,191,57,118,103,104,5.0,21.5,70,175,Non-Anginal Pain,True,1.9,True,Current,3.6,155,5.7,43.0,True,6181,43.8,0
+6955,70,Female,124,82,249,58,139,170,177,6.8,26.2,82,132,Non-Anginal Pain,True,2.0,True,Former,4.3,86,7.1,36.8,False,3145,54.6,1
+6956,61,Female,149,83,242,46,160,175,147,6.2,30.1,95,142,Typical Angina,True,2.7,False,Former,0.5,205,6.4,82.3,False,5561,81.0,1
+6957,63,Male,130,95,172,51,83,151,123,5.7,26.9,87,159,Asymptomatic,False,0.9,False,Never,11.2,137,5.9,32.7,False,500,57.3,0
+6958,48,Male,136,86,147,32,87,169,137,6.2,23.2,82,169,Asymptomatic,False,0.6,False,Never,2.5,123,7.0,59.2,False,1913,80.3,0
+6959,43,Female,118,68,163,66,62,183,96,5.1,28.7,83,210,Atypical Angina,True,0.4,False,Former,6.3,218,8.4,47.9,False,1767,48.5,0
+6960,60,Male,130,74,188,50,109,196,120,6.0,24.7,105,174,Asymptomatic,False,0.2,False,Current,3.1,105,9.0,81.7,True,4111,47.3,0
+6961,81,Female,127,73,167,64,74,170,143,6.7,30.4,98,130,Atypical Angina,False,0.9,False,Current,2.0,140,8.1,53.8,False,3167,37.4,0
+6962,64,Male,135,96,183,40,111,174,123,5.4,32.1,86,150,Non-Anginal Pain,False,0.1,True,Never,2.9,184,6.8,34.0,True,4577,72.7,0
+6963,45,Female,133,91,209,64,132,68,101,5.4,21.9,72,198,Asymptomatic,False,0.8,True,Never,12.1,293,6.5,71.0,True,8120,56.2,0
+6964,29,Female,136,93,207,56,101,172,120,6.0,23.8,78,197,Asymptomatic,False,0.2,False,Former,4.0,186,8.4,51.0,False,6759,65.5,0
+6965,49,Male,144,81,163,39,98,140,134,6.0,27.9,76,167,Non-Anginal Pain,True,1.4,True,Former,9.2,166,5.8,27.1,True,4601,45.6,1
+6966,47,Female,128,75,225,39,166,121,184,7.8,32.4,85,186,Asymptomatic,False,0.5,False,Former,1.4,204,9.3,60.6,True,13273,67.9,0
+6967,38,Male,127,80,169,51,94,130,126,6.2,31.8,94,175,Typical Angina,False,1.0,False,Never,2.3,87,6.6,48.1,False,6740,70.1,0
+6968,45,Male,120,89,117,58,50,66,113,6.3,15.3,82,184,Asymptomatic,False,2.3,False,Never,13.0,48,7.3,62.6,False,6471,65.0,0
+6969,71,Female,115,72,263,63,152,188,128,6.2,26.4,91,130,Asymptomatic,False,0.7,True,Never,0.5,87,4.9,60.7,False,4315,38.4,1
+6970,44,Male,113,70,158,77,73,63,87,5.1,22.3,65,188,Asymptomatic,True,0.1,False,Former,9.3,253,9.3,27.5,True,7802,79.6,0
+6971,56,Male,117,80,217,59,100,279,149,6.5,16.8,88,174,Asymptomatic,False,0.3,False,Never,11.8,72,7.5,27.8,True,3443,47.6,0
+6972,68,Female,131,83,202,58,104,197,125,6.2,30.6,88,152,Asymptomatic,False,0.2,False,Current,0.5,101,8.4,27.5,True,4812,38.0,0
+6973,66,Male,128,81,170,53,92,164,104,5.3,23.6,85,153,Asymptomatic,False,3.8,False,Never,5.7,194,5.7,44.1,False,4733,69.5,1
+6974,64,Male,137,84,156,56,93,111,114,5.2,23.1,79,131,Typical Angina,True,2.4,True,Never,15.5,1,7.9,41.0,False,500,69.3,1
+6975,40,Male,118,77,142,40,78,140,147,6.5,29.7,72,173,Asymptomatic,True,1.8,False,Former,9.7,96,8.8,57.9,False,6495,65.1,0
+6976,60,Female,142,85,132,40,79,102,96,5.0,20.2,71,168,Asymptomatic,False,0.1,True,Never,0.2,170,7.3,55.8,True,8432,68.9,0
+6977,25,Female,99,66,132,53,59,56,115,5.8,20.0,70,201,Atypical Angina,False,0.4,False,Never,9.9,256,7.4,17.4,True,9905,80.3,0
+6978,37,Female,121,70,167,50,78,154,123,5.5,26.3,85,162,Typical Angina,False,0.4,False,Never,11.2,118,7.2,53.5,False,6524,65.7,1
+6979,62,Male,130,78,207,63,118,97,112,5.5,22.5,85,170,Asymptomatic,False,1.0,False,Never,2.9,104,7.0,50.4,False,3065,69.7,0
+6980,64,Female,137,92,232,50,132,231,124,6.2,26.2,95,138,Non-Anginal Pain,False,1.3,True,Current,1.4,81,6.9,40.7,True,7150,35.8,1
+6981,65,Female,134,78,237,61,152,162,163,6.4,29.7,88,155,Atypical Angina,True,0.5,False,Never,2.4,88,7.6,53.9,False,3002,70.2,1
+6982,56,Male,146,98,238,67,133,102,116,5.4,28.3,66,156,Typical Angina,True,1.5,True,Former,4.6,78,6.7,65.3,False,6453,50.6,1
+6983,62,Male,132,83,211,40,151,125,97,5.0,21.7,85,138,Atypical Angina,True,0.5,False,Never,5.7,153,9.2,81.1,True,4809,50.8,1
+6984,49,Male,137,86,171,53,80,154,87,5.2,18.9,76,176,Non-Anginal Pain,False,1.1,True,Never,1.5,139,6.9,50.5,False,6590,57.3,0
+6985,38,Male,116,81,143,53,83,115,125,5.9,25.8,87,188,Atypical Angina,False,1.2,False,Current,9.1,106,5.6,44.0,False,6090,71.3,0
+6986,57,Female,118,74,231,58,129,204,114,5.7,20.8,64,168,Atypical Angina,False,2.5,False,Never,4.2,169,5.5,44.5,False,5613,75.5,0
+6987,71,Male,139,102,239,59,128,207,102,5.4,25.0,77,141,Atypical Angina,False,0.8,False,Never,6.5,177,5.7,43.8,True,7251,67.5,0
+6988,76,Male,129,87,184,78,74,120,93,5.4,18.4,74,157,Asymptomatic,False,0.7,False,Never,3.0,246,8.8,55.6,True,9149,81.4,0
+6989,61,Male,135,91,193,34,119,207,133,6.2,29.2,75,152,Asymptomatic,False,2.0,False,Never,10.2,127,7.2,7.9,False,4833,61.5,1
+6990,35,Male,122,77,211,37,128,127,106,5.7,25.1,66,168,Asymptomatic,False,0.5,False,Former,2.0,131,5.5,22.3,False,7192,67.0,0
+6991,56,Male,119,85,180,50,77,254,144,6.1,27.3,105,177,Asymptomatic,False,0.5,False,Never,9.2,96,8.3,37.4,False,6054,55.4,0
+6992,52,Female,139,100,218,60,116,197,140,6.2,27.8,84,138,Asymptomatic,False,4.3,False,Former,4.2,59,6.5,56.6,False,3610,53.6,1
+6993,45,Male,115,65,164,59,72,146,149,6.1,20.6,89,177,Typical Angina,True,0.3,True,Never,8.9,166,6.3,44.0,True,6514,67.8,0
+6994,56,Female,121,82,193,88,75,180,140,5.5,25.0,83,174,Atypical Angina,False,1.0,False,Never,5.3,151,10.3,48.0,True,6855,74.7,0
+6995,43,Female,122,74,260,76,135,228,86,4.8,29.9,74,182,Non-Anginal Pain,False,0.2,False,Never,3.7,274,7.5,35.2,False,5100,54.1,0
+6996,50,Female,109,50,199,60,111,93,116,4.9,18.8,85,181,Typical Angina,False,0.8,True,Former,4.7,111,6.0,46.7,False,5458,64.8,0
+6997,65,Male,159,97,211,52,140,81,112,5.3,29.5,68,150,Asymptomatic,False,2.3,True,Never,2.0,105,5.8,40.5,False,6064,69.0,1
+6998,38,Female,105,74,151,41,91,164,67,4.4,22.2,68,194,Atypical Angina,False,0.8,True,Never,1.7,209,8.1,81.2,False,5504,56.0,0
+6999,64,Male,124,78,201,52,111,225,144,6.2,21.0,75,156,Asymptomatic,False,0.6,False,Former,1.7,297,6.2,37.8,True,9204,43.0,0
+7000,47,Male,127,69,126,46,78,38,117,5.8,23.1,70,175,Non-Anginal Pain,False,0.4,False,Never,3.3,243,7.2,50.7,True,7867,61.9,0
+7001,57,Female,125,90,188,60,104,186,147,6.1,23.1,81,129,Asymptomatic,False,1.2,False,Former,3.2,69,6.2,37.1,False,3554,53.5,1
+7002,77,Female,141,90,244,62,139,143,119,6.0,34.5,94,135,Asymptomatic,True,0.5,False,Current,0.9,107,5.9,34.1,False,5518,33.8,1
+7003,45,Female,154,93,255,56,165,144,128,5.9,27.7,75,180,Non-Anginal Pain,False,1.1,False,Current,6.2,132,8.5,46.6,True,3044,53.1,0
+7004,51,Female,130,68,157,34,76,208,152,6.6,36.3,78,151,Asymptomatic,True,0.8,False,Former,0.2,0,7.8,61.8,False,5482,60.4,0
+7005,65,Male,132,99,178,47,96,156,104,5.6,32.2,95,128,Asymptomatic,False,2.1,False,Never,3.9,127,6.1,35.7,False,6029,34.3,1
+7006,61,Male,115,71,176,50,106,107,117,5.6,23.5,92,156,Asymptomatic,False,0.1,False,Never,12.1,74,6.8,63.1,True,8998,67.1,0
+7007,85,Female,134,97,207,61,125,146,139,5.7,26.4,89,123,Non-Anginal Pain,True,2.9,False,Former,0.4,110,6.1,59.5,False,5152,59.7,1
+7008,65,Male,129,82,176,69,74,167,133,5.9,27.8,78,135,Atypical Angina,True,5.4,True,Never,3.0,111,5.7,51.6,True,8553,44.5,1
+7009,54,Male,141,92,174,71,75,158,93,5.4,24.0,91,160,Asymptomatic,False,0.2,False,Never,3.8,121,7.9,35.4,False,8002,62.8,0
+7010,42,Male,141,95,132,18,98,153,105,5.2,34.1,91,168,Typical Angina,False,0.5,False,Current,3.3,66,6.0,82.6,False,3101,58.9,1
+7011,58,Male,115,71,190,44,98,218,108,5.6,31.1,76,155,Non-Anginal Pain,True,0.6,True,Never,14.0,56,7.1,67.8,False,3229,62.5,0
+7012,82,Male,140,78,132,43,76,157,128,5.7,30.5,81,140,Asymptomatic,False,0.3,False,Never,2.4,0,5.4,61.6,False,4363,64.9,0
+7013,59,Male,127,82,184,60,107,64,92,5.3,26.8,87,177,Atypical Angina,False,0.2,True,Never,4.7,91,6.2,31.2,False,4668,64.4,0
+7014,38,Male,118,75,179,45,101,179,110,5.7,27.1,88,185,Asymptomatic,False,0.0,True,Former,10.2,202,7.4,30.6,True,4401,39.2,0
+7015,50,Male,98,63,211,64,118,99,134,5.8,21.4,81,153,Atypical Angina,False,2.1,False,Current,1.9,103,8.5,30.4,False,9769,69.9,1
+7016,46,Male,124,80,166,49,76,168,99,6.1,27.9,81,157,Non-Anginal Pain,False,0.5,False,Never,3.7,22,7.7,60.0,True,4124,44.1,1
+7017,57,Female,149,100,249,69,132,222,92,4.7,34.8,65,184,Asymptomatic,False,0.2,False,Never,2.3,162,5.5,34.9,False,2253,46.6,0
+7018,51,Male,131,83,231,63,153,57,108,5.6,25.7,83,179,Asymptomatic,False,0.5,False,Never,1.6,233,7.0,42.5,True,10092,90.4,0
+7019,46,Male,144,91,172,38,98,210,96,5.0,26.3,80,158,Asymptomatic,False,1.0,True,Never,6.5,122,7.5,49.4,True,10478,27.0,0
+7020,40,Female,128,69,183,78,80,184,127,5.6,20.3,61,167,Non-Anginal Pain,False,0.2,False,Never,1.2,173,6.9,58.9,False,6795,72.8,0
+7021,50,Male,131,82,190,66,94,163,121,5.0,23.2,76,183,Non-Anginal Pain,True,0.7,False,Never,5.8,97,5.6,30.2,False,5156,58.8,0
+7022,60,Female,123,90,208,72,116,108,88,4.7,22.1,79,168,Atypical Angina,False,0.8,True,Never,4.6,197,7.7,44.8,True,6298,71.9,0
+7023,67,Male,98,65,179,74,95,108,80,4.5,16.0,85,152,Asymptomatic,False,0.3,True,Former,2.4,118,6.5,56.1,False,5170,71.2,0
+7024,47,Female,118,63,231,79,115,213,95,5.4,25.0,88,185,Asymptomatic,False,2.0,False,Former,20.0,83,8.2,42.0,False,3100,68.5,0
+7025,69,Female,119,78,161,58,75,133,117,5.9,19.6,81,149,Asymptomatic,False,0.1,False,Never,3.5,15,7.7,28.1,False,3666,49.6,0
+7026,27,Female,118,85,144,74,44,132,96,4.9,27.0,83,197,Asymptomatic,False,1.0,True,Never,3.3,195,8.0,44.9,False,6642,77.5,0
+7027,75,Female,137,81,205,59,127,88,133,6.5,27.0,81,158,Non-Anginal Pain,False,0.8,True,Current,1.7,124,6.2,41.9,False,3933,56.9,0
+7028,32,Female,108,58,165,61,81,86,95,5.4,27.3,77,210,Asymptomatic,True,0.6,False,Former,0.8,232,6.0,42.9,True,8473,58.3,0
+7029,45,Male,103,67,194,59,96,213,154,7.2,25.6,71,185,Asymptomatic,False,1.5,False,Never,2.0,148,8.4,67.7,True,11142,74.0,0
+7030,52,Male,134,68,176,54,102,73,117,6.0,25.6,77,177,Typical Angina,False,2.0,False,Never,6.4,148,5.8,56.6,True,5899,80.4,1
+7031,46,Female,107,74,195,73,66,246,119,5.6,32.8,80,179,Asymptomatic,False,1.3,False,Former,4.9,259,7.7,37.9,True,10475,84.5,0
+7032,80,Male,148,96,172,49,109,120,153,7.2,31.2,94,110,Typical Angina,False,1.4,False,Never,4.4,0,7.6,74.4,True,2940,81.7,1
+7033,46,Male,87,56,221,48,127,202,91,4.4,15.7,76,179,Atypical Angina,False,0.1,True,Current,1.8,190,8.8,65.5,True,7927,41.0,0
+7034,79,Male,155,97,188,61,80,185,138,6.2,25.0,79,129,Asymptomatic,False,1.1,False,Current,1.7,197,7.4,39.5,True,7788,64.8,0
+7035,18,Female,114,79,152,60,75,55,113,5.8,29.0,88,210,Asymptomatic,False,0.6,True,Never,0.3,157,7.4,38.1,False,6552,57.8,0
+7036,25,Male,103,68,192,52,85,225,66,4.7,26.4,85,179,Atypical Angina,True,1.3,False,Former,4.4,142,5.4,43.1,False,7266,62.4,1
+7037,55,Male,110,66,170,59,113,45,100,5.4,23.1,69,177,Atypical Angina,False,0.4,True,Never,2.4,126,6.9,30.4,False,4313,49.2,0
+7038,38,Female,109,80,192,57,113,92,146,6.1,23.5,89,181,Asymptomatic,False,0.5,False,Current,1.6,151,6.5,36.3,False,8677,55.3,0
+7039,33,Male,119,78,181,53,107,78,145,6.2,25.6,77,200,Asymptomatic,False,0.1,False,Current,1.6,173,5.8,27.7,False,4674,44.6,0
+7040,48,Male,125,94,233,65,120,227,172,7.4,28.7,67,166,Non-Anginal Pain,True,0.3,False,Current,13.5,76,5.9,43.3,True,7234,53.7,1
+7041,46,Female,117,84,159,49,69,213,110,5.6,29.0,78,173,Asymptomatic,False,0.5,False,Former,3.5,99,10.2,36.5,True,8822,36.1,0
+7042,44,Male,117,79,186,76,74,160,83,4.9,19.1,72,194,Non-Anginal Pain,False,0.3,False,Never,6.1,262,8.6,46.2,False,9692,62.9,0
+7043,45,Male,125,68,193,43,114,171,113,5.5,25.2,80,189,Atypical Angina,False,0.5,False,Never,10.1,44,8.8,77.1,False,9021,55.6,0
+7044,53,Male,133,90,231,59,147,147,99,5.3,28.2,75,145,Asymptomatic,False,0.9,True,Never,5.0,196,8.2,49.7,True,5284,76.8,1
+7045,60,Male,129,83,212,62,87,250,99,5.3,24.8,94,152,Asymptomatic,False,1.3,False,Never,11.7,165,4.8,64.8,True,5183,27.2,1
+7046,64,Female,152,91,224,63,122,167,99,5.7,28.9,111,155,Typical Angina,True,0.5,True,Former,1.5,146,7.1,40.0,True,9374,75.8,1
+7047,53,Female,134,81,160,55,74,157,109,6.0,24.4,81,136,Typical Angina,False,1.3,False,Never,2.7,0,5.2,34.4,False,4859,45.1,1
+7048,35,Male,114,61,217,40,150,120,105,6.1,34.8,75,179,Typical Angina,False,0.5,True,Current,22.9,204,7.9,14.8,True,7262,56.3,1
+7049,41,Female,144,92,182,53,102,144,106,5.7,23.7,89,172,Asymptomatic,False,1.3,False,Never,6.6,164,7.4,47.4,True,6535,62.4,0
+7050,46,Female,151,94,195,50,105,203,149,6.9,28.9,102,175,Non-Anginal Pain,False,0.2,False,Former,15.1,110,6.7,45.0,False,3196,33.6,0
+7051,62,Male,151,98,179,53,92,203,105,6.4,33.9,87,138,Asymptomatic,False,0.3,False,Never,5.5,117,6.1,50.0,False,5931,64.9,0
+7052,39,Female,112,65,191,66,106,96,128,6.2,22.5,79,185,Asymptomatic,False,0.4,True,Never,2.5,130,7.7,57.4,False,3657,56.6,0
+7053,66,Female,122,76,193,66,112,35,160,6.7,20.1,68,141,Asymptomatic,False,2.1,True,Never,5.9,194,7.6,56.6,False,5021,80.3,0
+7054,35,Female,108,73,208,56,100,166,68,4.5,24.8,76,183,Non-Anginal Pain,False,0.4,True,Never,4.7,256,6.3,32.4,True,7196,63.4,0
+7055,54,Female,130,74,253,60,168,125,145,7.0,20.1,89,154,Typical Angina,True,0.9,True,Current,0.1,213,7.1,54.5,True,7811,26.5,1
+7056,49,Male,133,81,145,45,85,170,107,5.4,31.2,76,158,Typical Angina,False,0.2,False,Former,5.9,106,6.4,50.8,True,4348,63.6,1
+7057,62,Male,139,84,238,53,171,136,78,4.7,22.1,86,179,Asymptomatic,True,0.4,True,Current,10.6,159,7.7,53.1,False,9274,62.9,0
+7058,67,Male,130,70,272,78,174,35,126,6.0,18.0,72,145,Atypical Angina,False,1.1,False,Former,7.9,148,7.5,40.6,False,4280,56.0,1
+7059,51,Female,117,67,264,69,148,189,133,6.4,29.1,83,173,Typical Angina,False,0.3,False,Never,2.7,136,8.6,44.8,False,4703,81.5,0
+7060,46,Male,145,90,128,45,56,117,76,4.0,22.8,86,169,Atypical Angina,False,0.9,True,Current,3.6,25,7.0,82.1,False,5302,54.6,0
+7061,64,Male,148,77,200,52,139,98,109,5.2,26.3,87,165,Asymptomatic,False,1.0,True,Never,2.5,204,6.4,31.5,True,11574,75.1,0
+7062,45,Male,119,81,220,68,131,139,115,5.9,21.5,83,176,Asymptomatic,False,0.8,False,Never,4.2,150,6.0,25.9,False,7337,62.2,0
+7063,57,Female,126,84,171,47,99,119,104,5.5,26.0,87,181,Atypical Angina,False,2.4,False,Former,1.4,34,8.0,73.1,False,4968,69.2,0
+7064,56,Female,124,75,136,51,60,145,135,6.4,20.8,80,160,Asymptomatic,False,1.2,True,Never,1.7,105,6.6,72.2,False,6556,52.9,0
+7065,47,Male,109,82,225,47,127,180,128,6.0,28.8,98,181,Atypical Angina,False,0.6,False,Never,8.1,85,8.2,72.1,False,6086,70.6,1
+7066,44,Female,137,89,165,24,106,167,98,5.3,27.8,85,158,Non-Anginal Pain,False,3.2,False,Current,7.9,61,7.4,63.5,False,5066,50.6,0
+7067,64,Female,121,73,237,76,125,160,141,6.8,35.8,81,163,Asymptomatic,False,0.1,False,Former,0.8,175,7.2,42.7,False,3425,66.1,0
+7068,58,Female,139,100,208,41,126,254,103,5.3,34.3,72,125,Asymptomatic,False,0.2,False,Never,6.2,87,7.0,27.0,False,3518,69.1,0
+7069,40,Male,117,83,198,54,101,175,128,6.0,24.7,73,161,Asymptomatic,False,2.0,False,Current,4.1,195,6.3,57.4,False,6072,66.8,0
+7070,37,Male,123,79,208,56,104,271,112,5.9,22.2,89,201,Asymptomatic,True,0.4,True,Never,20.3,132,8.6,59.1,True,6947,47.3,0
+7071,67,Male,152,100,201,50,130,132,93,5.2,29.4,74,143,Typical Angina,False,0.9,True,Never,3.7,141,7.1,30.1,True,4910,61.4,1
+7072,79,Female,147,99,210,52,104,180,139,6.5,26.8,88,154,Asymptomatic,False,2.3,False,Former,5.4,112,7.4,35.0,True,9436,80.8,0
+7073,52,Female,120,65,213,61,106,134,120,5.9,27.6,89,189,Atypical Angina,False,0.3,False,Current,0.4,253,8.3,37.0,True,6927,66.6,0
+7074,51,Female,139,92,182,49,92,169,108,5.7,25.1,85,150,Atypical Angina,False,0.8,False,Current,11.4,56,7.3,60.5,False,5986,71.2,1
+7075,64,Female,137,85,220,66,110,140,104,5.8,23.3,74,166,Asymptomatic,False,0.5,False,Never,1.1,140,6.4,55.4,True,5580,43.9,1
+7076,46,Female,117,80,202,58,106,195,131,6.3,32.6,83,159,Asymptomatic,False,0.5,False,Never,2.6,52,9.4,41.3,False,6340,91.9,1
+7077,37,Male,149,93,132,33,81,111,127,6.2,30.1,94,150,Atypical Angina,False,4.1,True,Never,3.4,96,7.0,80.0,False,4764,62.4,1
+7078,63,Male,137,82,180,67,98,101,142,6.4,31.4,69,157,Asymptomatic,False,0.2,False,Never,5.4,194,7.0,41.4,True,9221,73.3,0
+7079,51,Male,113,75,199,56,97,154,122,5.7,24.8,75,150,Asymptomatic,True,0.2,True,Former,3.8,115,8.4,44.4,True,7651,61.4,1
+7080,71,Male,110,75,156,42,87,155,153,6.6,25.8,105,128,Typical Angina,True,0.7,True,Never,6.0,158,7.7,84.1,True,8273,52.0,1
+7081,56,Male,133,85,176,62,94,138,100,5.5,19.9,74,176,Asymptomatic,False,1.2,False,Current,10.9,139,5.3,37.8,False,5067,28.7,1
+7082,64,Male,113,68,177,43,119,107,123,6.2,21.4,87,151,Asymptomatic,False,0.1,False,Never,5.1,142,9.1,45.4,True,8100,61.6,0
+7083,45,Male,124,83,241,66,118,286,156,6.5,27.5,94,186,Atypical Angina,False,0.8,False,Current,2.6,145,4.9,80.1,True,9083,32.0,0
+7084,61,Female,128,83,200,44,126,82,76,4.7,24.3,79,146,Atypical Angina,False,1.2,True,Never,2.9,140,7.4,56.0,False,2720,92.7,0
+7085,49,Female,119,77,201,55,118,136,139,6.0,26.8,72,165,Asymptomatic,False,1.4,True,Never,0.9,111,7.7,47.2,True,7621,53.4,0
+7086,66,Male,145,99,205,51,133,133,132,6.5,25.1,99,121,Asymptomatic,False,2.3,True,Never,5.6,0,7.1,46.6,False,1939,62.5,1
+7087,73,Male,154,97,237,32,177,116,141,6.9,31.8,84,139,Atypical Angina,False,3.1,False,Never,6.3,48,7.2,41.7,False,4901,38.2,1
+7088,52,Female,135,80,191,72,108,91,128,5.5,23.5,85,149,Asymptomatic,False,0.6,True,Current,14.7,196,8.5,58.9,False,3788,41.1,1
+7089,51,Male,125,79,178,45,98,196,112,5.4,27.9,85,173,Asymptomatic,False,0.5,False,Current,4.6,224,8.0,30.2,False,10523,25.3,0
+7090,31,Female,96,56,160,58,88,92,97,4.9,26.0,80,164,Non-Anginal Pain,False,0.1,False,Never,1.4,141,8.7,44.9,False,3986,63.2,0
+7091,78,Male,141,87,166,57,89,132,140,6.3,27.3,83,131,Asymptomatic,False,1.0,True,Never,3.5,83,6.0,50.2,False,7122,57.3,1
+7092,80,Male,161,103,212,42,115,255,88,5.5,30.0,89,116,Asymptomatic,True,0.0,False,Former,8.3,0,8.7,53.7,False,1621,52.8,1
+7093,70,Female,153,90,243,61,160,170,114,5.6,28.1,91,145,Non-Anginal Pain,False,0.7,False,Never,0.3,0,7.0,53.8,False,5343,63.9,1
+7094,38,Female,134,73,218,42,139,156,110,6.0,30.6,76,161,Typical Angina,False,5.7,False,Never,4.4,119,5.9,60.0,False,4120,45.4,1
+7095,53,Male,123,73,149,43,86,89,130,5.5,25.2,78,173,Asymptomatic,False,0.1,True,Never,1.5,122,6.2,45.6,False,3709,98.3,0
+7096,43,Male,124,72,173,52,87,185,130,5.8,25.8,75,180,Non-Anginal Pain,False,1.0,False,Never,2.2,174,8.1,45.0,False,3924,40.0,0
+7097,56,Male,115,75,175,62,91,111,126,5.5,22.1,84,171,Asymptomatic,False,0.3,False,Former,1.8,97,7.6,52.2,False,5182,48.7,0
+7098,49,Male,110,64,158,55,87,125,97,4.7,19.4,88,178,Asymptomatic,False,0.8,False,Never,3.5,120,7.3,48.4,False,6280,80.9,0
+7099,51,Male,121,61,175,45,99,169,110,5.3,27.8,82,158,Asymptomatic,False,0.2,False,Current,8.6,188,7.3,56.7,True,10470,30.8,0
+7100,26,Male,111,78,151,54,54,205,92,5.2,22.1,81,194,Asymptomatic,False,1.2,False,Never,8.9,22,6.6,31.0,False,3918,30.7,0
+7101,53,Male,130,84,176,56,120,55,132,5.9,21.4,80,145,Non-Anginal Pain,True,0.1,False,Never,2.1,40,6.9,35.1,False,2135,75.4,1
+7102,66,Male,131,90,169,44,92,162,121,5.3,17.8,68,136,Asymptomatic,False,0.2,False,Current,2.7,153,5.9,36.8,True,4121,47.3,0
+7103,48,Male,122,78,167,56,85,137,126,6.3,24.2,83,177,Asymptomatic,False,1.3,True,Never,16.9,203,7.9,77.9,False,6049,48.3,0
+7104,40,Male,92,50,241,63,150,121,97,5.8,28.2,74,162,Atypical Angina,False,0.2,False,Never,6.9,234,5.5,22.2,False,5498,59.8,0
+7105,42,Male,108,71,209,51,133,107,93,5.1,22.6,83,196,Atypical Angina,False,0.3,False,Never,1.7,222,5.4,25.4,False,5303,59.4,0
+7106,46,Male,128,78,148,56,88,59,133,6.3,16.7,72,197,Asymptomatic,False,1.0,False,Never,19.8,140,6.6,21.8,True,7158,76.0,0
+7107,47,Male,129,91,146,29,86,102,139,6.3,32.0,81,145,Asymptomatic,True,0.1,False,Never,8.1,43,8.1,72.9,False,4881,54.5,1
+7108,46,Female,122,65,170,60,93,119,94,5.0,24.4,87,172,Non-Anginal Pain,False,2.9,False,Former,9.7,102,9.1,69.5,False,6182,54.8,0
+7109,82,Male,139,88,205,55,108,165,136,6.1,25.7,77,120,Typical Angina,True,0.7,True,Current,7.2,257,7.8,42.9,True,5486,84.3,1
+7110,45,Female,120,77,181,54,87,175,80,4.7,25.0,91,176,Non-Anginal Pain,False,0.6,False,Never,6.1,93,6.1,59.0,False,7371,57.6,0
+7111,51,Male,111,68,160,38,83,167,151,6.6,28.0,76,156,Asymptomatic,True,0.4,False,Never,3.0,107,6.8,31.8,False,5398,65.8,1
+7112,64,Female,114,71,243,69,139,152,123,5.6,22.9,83,147,Atypical Angina,True,0.5,True,Never,2.7,193,8.3,22.9,True,5474,35.4,1
+7113,56,Female,111,61,193,63,97,166,112,5.3,23.8,85,160,Asymptomatic,False,0.4,False,Current,2.8,244,6.2,43.4,True,7828,48.9,0
+7114,41,Female,127,79,240,44,133,260,105,5.3,29.2,79,171,Non-Anginal Pain,True,0.5,False,Never,5.2,96,7.8,42.0,True,6124,56.1,0
+7115,46,Female,131,66,212,82,110,69,78,5.0,22.9,82,170,Non-Anginal Pain,False,0.2,False,Former,3.8,206,7.0,38.7,False,3903,69.7,0
+7116,53,Female,119,71,162,42,80,217,86,4.8,28.3,78,171,Non-Anginal Pain,False,2.2,True,Never,3.6,168,7.1,48.7,True,3985,77.8,0
+7117,58,Female,127,82,225,71,117,178,93,5.4,28.1,89,163,Non-Anginal Pain,False,0.8,False,Never,5.8,138,7.3,39.4,False,3672,68.2,0
+7118,38,Male,116,70,159,49,75,147,120,5.8,23.0,79,171,Asymptomatic,True,0.9,True,Current,8.9,164,7.5,60.0,False,3155,50.3,1
+7119,65,Female,134,88,203,55,107,247,129,5.9,28.4,77,153,Non-Anginal Pain,False,1.1,False,Never,1.1,128,8.6,47.8,True,5322,69.5,0
+7120,66,Female,118,75,219,53,134,71,124,6.5,17.8,73,140,Asymptomatic,False,1.9,True,Current,7.2,0,8.8,58.8,False,3920,62.8,1
+7121,44,Female,113,72,188,83,61,233,100,4.9,32.2,81,185,Non-Anginal Pain,False,0.2,False,Former,7.3,238,7.5,32.4,True,11197,81.3,0
+7122,52,Male,123,75,214,57,101,185,152,6.7,27.9,87,167,Non-Anginal Pain,False,0.4,False,Never,2.7,126,7.6,40.2,False,5471,59.6,1
+7123,63,Male,125,86,197,56,95,198,119,5.2,24.3,93,125,Asymptomatic,False,1.4,True,Never,17.4,90,6.3,34.8,False,5565,87.3,1
+7124,48,Male,118,62,169,46,98,118,164,6.9,28.0,73,180,Asymptomatic,False,0.7,True,Current,5.0,224,6.4,57.5,True,9557,79.0,0
+7125,24,Female,102,53,211,58,124,190,88,4.4,22.5,79,199,Typical Angina,False,1.5,True,Never,1.3,169,5.3,48.7,False,5000,63.6,0
+7126,42,Male,144,86,208,72,96,139,76,4.6,29.9,90,172,Typical Angina,False,0.4,False,Never,8.0,111,7.3,67.7,True,6303,65.8,0
+7127,88,Male,161,81,187,58,120,83,111,6.1,20.1,77,99,Atypical Angina,False,0.9,True,Never,1.9,197,7.5,54.4,True,9621,67.3,1
+7128,42,Female,120,85,138,46,73,136,161,6.7,26.4,73,180,Asymptomatic,False,0.1,False,Never,1.9,146,8.1,57.9,True,5212,60.4,0
+7129,51,Male,143,74,214,35,147,134,138,6.4,31.3,77,141,Asymptomatic,False,0.6,False,Current,7.0,67,6.8,38.8,False,5931,64.8,1
+7130,80,Male,134,89,198,44,121,176,128,6.1,28.9,83,132,Asymptomatic,False,1.0,True,Former,4.2,172,5.8,33.6,False,4305,69.3,1
+7131,47,Female,124,92,171,62,82,142,146,5.9,20.6,71,161,Asymptomatic,False,1.6,False,Never,2.8,36,6.8,33.8,False,4190,73.7,0
+7132,46,Male,135,76,165,60,78,143,164,6.4,28.4,73,153,Asymptomatic,False,0.5,False,Never,2.1,201,8.1,40.9,False,3421,55.7,0
+7133,41,Female,134,80,255,76,139,216,102,6.1,21.8,72,165,Typical Angina,True,0.2,False,Never,0.1,117,6.5,48.0,False,6544,75.0,1
+7134,61,Male,145,95,152,42,98,122,110,5.5,23.6,84,164,Non-Anginal Pain,False,0.3,False,Former,3.6,99,6.1,66.0,False,4442,48.4,0
+7135,41,Female,129,77,202,56,114,151,156,6.5,28.5,72,164,Asymptomatic,False,0.6,False,Former,4.0,149,7.7,56.7,True,9306,57.2,0
+7136,66,Female,126,83,165,69,84,113,155,6.4,19.6,68,182,Typical Angina,False,0.1,False,Former,1.2,58,6.4,16.9,True,7175,74.1,0
+7137,69,Female,129,81,249,61,155,125,162,6.9,38.7,88,135,Atypical Angina,False,1.2,False,Former,1.7,105,7.4,70.2,False,3288,56.4,1
+7138,74,Male,139,91,246,54,149,192,127,6.8,27.7,80,114,Atypical Angina,False,2.6,False,Never,5.0,51,7.1,22.9,True,6577,67.0,1
+7139,71,Female,146,107,204,70,104,167,122,5.7,23.3,72,172,Non-Anginal Pain,False,0.6,True,Never,5.6,205,7.8,62.2,True,5425,49.9,0
+7140,50,Male,118,74,222,68,133,131,116,5.3,19.6,93,168,Non-Anginal Pain,False,1.3,False,Never,3.1,0,8.2,46.1,True,2578,35.7,0
+7141,34,Female,114,74,177,73,86,135,126,6.5,27.8,82,193,Atypical Angina,False,0.4,False,Never,1.5,148,6.1,54.5,True,7297,65.4,0
+7142,42,Male,147,90,170,50,103,55,99,5.2,28.8,81,186,Atypical Angina,False,0.3,False,Never,2.0,189,5.8,72.3,False,5891,75.7,0
+7143,84,Female,128,70,203,32,130,166,138,6.8,32.0,77,120,Asymptomatic,False,1.3,False,Never,1.3,4,7.5,33.9,True,2272,53.0,1
+7144,54,Male,112,73,208,42,152,78,131,6.4,28.1,72,170,Asymptomatic,True,2.0,True,Current,1.5,85,7.5,64.4,False,6922,51.8,1
+7145,62,Female,147,81,157,45,75,202,125,5.6,32.8,78,149,Asymptomatic,False,0.7,True,Current,12.7,154,6.7,39.0,True,9311,64.2,0
+7146,35,Female,108,64,213,68,122,89,113,5.9,26.6,91,197,Atypical Angina,False,0.1,True,Current,1.1,167,6.4,25.5,False,4536,59.6,0
+7147,69,Male,114,67,134,51,36,180,82,4.8,21.9,73,165,Asymptomatic,False,0.4,True,Former,4.7,103,5.9,56.3,True,5121,54.9,0
+7148,57,Male,128,80,192,46,101,173,146,6.5,23.8,85,147,Typical Angina,False,1.6,False,Never,7.3,78,6.5,21.6,False,4562,48.7,0
+7149,44,Male,132,86,174,43,111,136,133,6.0,30.5,78,153,Non-Anginal Pain,True,0.2,False,Never,4.7,146,7.5,36.1,False,5068,68.8,1
+7150,67,Male,122,87,125,50,35,199,114,5.8,26.4,66,130,Non-Anginal Pain,True,1.7,True,Never,4.1,202,6.8,67.0,False,4943,73.4,1
+7151,60,Female,159,91,203,50,99,233,128,6.0,28.6,75,147,Atypical Angina,True,2.6,False,Current,16.8,165,7.2,69.5,False,8789,60.2,1
+7152,25,Male,152,105,200,72,112,86,79,4.8,21.7,79,199,Typical Angina,False,3.4,False,Never,4.9,174,7.0,63.8,True,12585,74.7,0
+7153,63,Male,125,89,243,72,144,190,115,5.6,31.3,78,165,Asymptomatic,True,3.1,True,Never,12.6,150,7.1,32.7,True,6455,36.5,1
+7154,57,Male,129,78,192,56,117,125,133,6.3,20.9,73,161,Atypical Angina,False,0.3,False,Never,10.5,121,7.8,55.0,False,6902,54.8,0
+7155,38,Female,158,93,186,73,91,135,131,6.7,19.3,77,158,Non-Anginal Pain,False,0.3,False,Never,9.5,234,6.7,47.4,True,12895,90.5,0
+7156,49,Female,90,61,193,45,126,113,104,5.6,25.6,83,175,Non-Anginal Pain,False,0.8,False,Current,0.5,108,6.5,66.5,True,5435,56.8,0
+7157,45,Female,117,73,197,72,88,178,115,5.9,31.0,79,156,Typical Angina,False,1.0,True,Never,3.5,224,7.4,55.7,True,6610,81.4,1
+7158,71,Male,144,101,224,41,141,197,110,5.7,26.4,85,113,Non-Anginal Pain,False,1.8,True,Current,4.8,0,8.0,53.7,False,3867,44.9,1
+7159,63,Male,140,87,230,49,136,201,171,7.1,29.4,90,132,Asymptomatic,False,0.6,True,Never,14.4,146,7.7,22.9,True,7815,79.2,1
+7160,53,Male,131,96,234,60,118,256,138,6.2,26.6,82,148,Atypical Angina,False,0.8,True,Former,7.4,115,7.0,62.6,False,4075,76.7,0
+7161,55,Female,126,64,167,57,69,198,127,6.1,20.4,84,162,Asymptomatic,False,1.2,False,Never,10.2,138,6.0,58.4,False,4092,68.6,0
+7162,60,Male,133,73,163,44,78,226,107,5.2,27.6,79,138,Non-Anginal Pain,False,2.7,True,Former,16.7,141,6.8,42.9,False,7390,70.2,1
+7163,63,Male,131,86,160,49,81,136,104,5.4,17.0,81,142,Atypical Angina,True,2.2,True,Current,3.5,133,7.2,37.1,True,6984,45.6,1
+7164,70,Male,147,98,187,60,96,163,112,5.9,23.3,88,124,Non-Anginal Pain,True,1.0,False,Current,4.5,95,5.4,55.5,False,5755,35.6,1
+7165,76,Male,121,81,263,58,166,154,194,7.8,33.7,82,140,Asymptomatic,False,0.6,False,Current,7.6,80,6.2,37.1,False,2931,59.7,1
+7166,43,Male,132,78,141,54,67,134,98,4.9,24.2,85,182,Non-Anginal Pain,False,1.0,False,Current,1.6,194,8.4,57.9,True,4328,63.6,0
+7167,47,Female,126,79,168,69,71,171,136,6.7,20.2,83,174,Asymptomatic,False,1.1,True,Never,2.2,90,8.2,73.5,False,3481,52.9,0
+7168,53,Female,123,79,202,64,116,127,137,6.7,24.9,79,159,Atypical Angina,False,0.9,True,Never,4.7,153,5.6,49.1,True,9595,55.4,0
+7169,48,Female,110,72,194,66,107,119,120,5.7,19.9,75,176,Atypical Angina,False,2.1,False,Never,4.0,208,7.7,33.6,True,7890,68.3,0
+7170,66,Female,116,85,132,74,50,67,74,4.5,15.5,68,177,Atypical Angina,False,0.4,False,Never,2.6,200,9.5,28.7,True,4128,63.7,0
+7171,45,Male,122,67,154,57,77,85,87,5.1,23.9,66,181,Asymptomatic,False,0.4,False,Never,2.8,232,6.9,52.1,False,6995,27.6,0
+7172,53,Male,117,74,228,63,132,146,99,5.4,24.4,77,169,Non-Anginal Pain,True,0.3,True,Never,5.1,166,7.6,18.7,True,8042,52.9,0
+7173,50,Male,148,85,153,29,107,99,115,6.0,26.3,89,141,Asymptomatic,False,2.4,False,Former,2.3,62,6.9,31.8,False,4585,60.6,1
+7174,65,Male,147,89,161,39,85,181,154,7.6,25.4,104,135,Asymptomatic,True,1.1,False,Current,6.4,12,5.7,54.1,False,3689,38.3,1
+7175,72,Male,150,99,163,51,100,66,119,5.7,27.9,87,120,Non-Anginal Pain,False,0.2,True,Never,4.6,74,7.8,36.6,True,4647,59.6,1
+7176,45,Male,119,69,166,53,96,105,97,5.2,20.5,84,195,Asymptomatic,False,0.4,False,Never,2.4,129,7.2,58.1,False,6702,45.8,0
+7177,45,Male,91,67,162,60,68,176,99,5.8,22.3,79,183,Atypical Angina,False,0.1,True,Former,2.8,203,4.9,27.5,True,4279,67.9,0
+7178,69,Female,135,88,100,23,59,179,150,6.8,25.3,99,161,Asymptomatic,False,1.2,False,Current,4.0,147,5.7,38.8,False,5659,50.3,0
+7179,66,Male,138,84,161,42,81,195,125,5.5,21.5,87,151,Atypical Angina,False,0.1,True,Former,13.4,66,7.2,74.1,True,3506,69.6,0
+7180,63,Male,143,85,194,34,137,128,134,5.7,31.7,83,119,Asymptomatic,True,3.4,False,Current,5.6,161,8.5,53.2,True,5910,74.2,1
+7181,78,Male,150,91,199,63,96,179,137,6.3,19.2,76,116,Asymptomatic,True,0.6,False,Never,6.7,182,7.0,43.4,True,5428,70.8,1
+7182,62,Female,142,84,196,39,132,123,128,5.8,27.4,78,156,Atypical Angina,True,1.4,False,Never,4.2,108,5.6,40.9,True,5816,62.6,1
+7183,56,Female,139,82,204,70,106,169,98,5.0,27.8,76,164,Non-Anginal Pain,False,1.5,False,Never,2.4,118,7.3,42.3,True,4584,42.5,0
+7184,44,Male,121,81,170,53,89,154,106,5.7,20.1,72,168,Typical Angina,False,0.9,False,Never,3.3,218,5.2,40.5,True,7360,75.6,0
+7185,53,Female,129,81,222,60,136,119,125,6.0,24.3,92,140,Atypical Angina,True,5.4,True,Current,1.8,193,5.6,53.4,True,9404,78.0,1
+7186,66,Male,128,76,138,61,59,67,170,6.9,21.0,93,175,Asymptomatic,False,1.9,False,Former,2.2,121,8.3,34.4,False,6281,76.4,0
+7187,66,Female,153,108,161,49,100,107,160,6.5,30.5,89,134,Typical Angina,False,1.4,False,Never,0.5,41,7.0,46.3,False,4505,81.8,1
+7188,44,Male,141,75,128,64,50,72,186,7.7,22.9,81,184,Atypical Angina,False,1.0,False,Former,13.7,190,7.3,36.9,False,8058,97.1,0
+7189,39,Male,106,66,192,45,114,200,109,5.4,24.5,67,177,Non-Anginal Pain,False,0.1,False,Former,3.5,166,5.6,5.7,False,3158,62.1,0
+7190,26,Male,127,82,221,66,107,248,105,5.0,28.9,75,192,Non-Anginal Pain,False,0.3,False,Never,9.3,188,8.0,18.0,True,5978,55.1,0
+7191,51,Male,129,76,216,63,107,233,133,6.9,25.5,78,163,Asymptomatic,False,0.2,True,Never,2.5,152,8.2,24.0,True,3624,72.6,0
+7192,65,Female,163,97,217,69,122,209,160,6.8,27.8,92,145,Asymptomatic,True,3.8,False,Never,12.6,159,5.3,92.4,True,9283,63.3,1
+7193,63,Female,114,74,188,58,122,53,158,7.4,23.0,77,159,Non-Anginal Pain,False,0.6,False,Never,1.6,186,7.8,26.7,True,6860,57.7,0
+7194,54,Female,126,80,197,46,114,206,123,5.8,18.6,64,174,Non-Anginal Pain,False,0.5,False,Current,23.4,236,5.8,6.9,True,8106,62.0,0
+7195,42,Male,125,73,208,52,127,135,150,6.2,31.1,78,167,Asymptomatic,True,1.1,False,Never,9.2,44,7.2,40.3,True,8198,45.1,1
+7196,78,Female,134,87,202,46,120,154,117,6.4,22.0,76,120,Non-Anginal Pain,True,0.6,False,Never,0.9,125,7.9,53.8,True,4632,45.5,1
+7197,55,Male,130,78,134,66,51,101,115,5.5,22.9,76,165,Asymptomatic,False,1.0,False,Former,12.6,122,7.1,45.0,True,7591,75.5,0
+7198,54,Male,150,96,192,55,113,82,112,5.9,23.4,77,179,Asymptomatic,True,0.1,True,Never,6.8,247,7.5,42.7,True,10256,73.8,0
+7199,72,Female,127,73,198,66,109,134,156,7.0,28.8,87,173,Asymptomatic,False,0.5,False,Former,1.0,163,6.3,53.7,True,5983,76.9,0
+7200,72,Male,156,90,142,36,60,187,161,7.0,26.9,85,149,Asymptomatic,True,2.9,False,Never,3.9,46,6.4,46.3,False,4717,58.9,1
+7201,58,Female,151,100,141,64,54,104,120,5.7,27.3,99,171,Atypical Angina,False,0.1,False,Never,0.9,168,5.0,50.7,False,4941,70.3,0
+7202,38,Male,108,64,239,64,128,235,109,5.6,29.2,93,153,Asymptomatic,False,0.9,False,Current,5.0,220,6.5,55.0,False,5644,42.5,1
+7203,64,Female,148,101,192,61,103,196,112,5.6,26.4,82,170,Asymptomatic,True,0.6,True,Former,3.4,116,6.2,15.8,True,6155,43.2,0
+7204,66,Female,134,102,236,60,138,134,122,6.2,25.0,95,148,Asymptomatic,True,1.3,False,Former,2.1,135,5.3,33.5,False,6647,35.1,1
+7205,51,Female,133,97,179,53,94,167,116,5.6,24.4,95,162,Atypical Angina,True,0.2,False,Never,5.5,114,6.3,71.3,False,1422,72.9,0
+7206,76,Female,132,77,161,62,87,73,72,4.6,20.8,77,140,Typical Angina,True,0.5,False,Never,1.0,247,8.6,40.2,True,6470,53.6,0
+7207,49,Female,134,77,197,28,128,242,128,5.8,28.9,92,175,Asymptomatic,True,3.3,False,Current,6.1,115,8.7,50.8,False,6512,39.4,1
+7208,61,Male,138,84,188,55,105,166,148,6.5,26.1,71,169,Asymptomatic,False,1.7,False,Never,3.3,167,7.9,62.2,True,7007,53.4,0
+7209,45,Male,128,75,157,52,90,77,120,6.3,25.0,85,166,Asymptomatic,False,1.2,False,Never,17.0,188,6.7,50.6,True,4199,56.4,0
+7210,48,Male,137,84,217,47,123,193,134,6.0,23.2,76,151,Asymptomatic,False,3.0,False,Never,1.9,173,7.3,42.8,True,10656,35.6,1
+7211,63,Female,133,78,166,57,78,186,92,4.9,15.7,68,157,Atypical Angina,True,0.8,True,Never,3.9,227,8.0,25.5,False,9531,29.1,0
+7212,76,Female,148,98,133,60,35,168,149,6.2,34.4,85,172,Non-Anginal Pain,True,1.3,False,Never,2.0,91,6.8,44.3,False,5639,57.3,0
+7213,32,Female,113,68,200,58,111,197,83,4.9,24.9,88,189,Asymptomatic,False,3.9,False,Never,0.8,186,8.6,53.3,True,6792,38.0,0
+7214,77,Male,145,90,206,44,137,135,160,6.8,26.7,101,120,Asymptomatic,True,3.3,False,Former,2.2,94,7.2,58.7,False,4211,58.3,1
+7215,61,Male,136,85,211,53,113,245,142,7.1,30.4,92,133,Asymptomatic,True,0.6,True,Current,12.7,143,6.2,63.0,False,7173,69.3,1
+7216,30,Male,136,96,195,34,138,178,103,5.3,24.7,84,188,Asymptomatic,False,0.9,True,Former,2.1,163,7.3,31.0,False,4367,43.0,0
+7217,45,Female,129,76,171,61,87,81,143,6.3,24.1,88,187,Asymptomatic,False,0.4,False,Current,0.7,124,8.8,75.9,False,4627,67.1,0
+7218,69,Male,125,84,124,59,41,165,119,5.7,21.5,94,141,Typical Angina,True,0.6,False,Never,9.6,57,7.4,49.7,False,2869,67.4,1
+7219,31,Male,128,71,210,62,106,142,85,5.0,21.7,83,184,Asymptomatic,False,1.1,False,Former,10.4,144,7.2,57.6,True,7963,93.4,0
+7220,44,Male,115,88,169,62,74,166,158,6.4,26.1,74,166,Non-Anginal Pain,False,1.0,False,Never,2.3,102,6.4,26.4,False,6134,81.5,0
+7221,68,Female,162,102,186,54,120,180,156,6.4,30.3,88,154,Non-Anginal Pain,False,0.7,False,Current,2.7,0,6.5,54.7,False,2130,42.1,1
+7222,81,Male,121,67,183,57,113,133,130,6.0,21.6,73,113,Atypical Angina,False,0.8,False,Former,10.6,156,7.3,47.2,False,6804,52.3,1
+7223,34,Female,129,79,223,63,131,143,90,5.1,21.4,68,188,Asymptomatic,False,1.5,True,Never,9.0,246,6.1,39.3,True,10162,48.6,0
+7224,60,Male,141,78,185,53,95,204,143,6.3,28.6,83,168,Atypical Angina,False,0.8,False,Never,3.4,175,7.1,50.4,True,5201,51.5,1
+7225,70,Female,142,102,190,46,125,171,110,5.3,25.9,98,155,Non-Anginal Pain,False,0.1,False,Never,10.1,71,7.7,80.5,True,6318,60.5,0
+7226,51,Female,104,70,187,52,101,210,129,5.5,25.0,94,139,Non-Anginal Pain,False,0.7,False,Current,0.8,118,4.1,59.8,False,3918,50.3,1
+7227,51,Male,121,70,200,53,102,212,120,5.5,28.0,56,184,Asymptomatic,False,1.1,True,Former,2.6,239,5.9,46.3,False,9535,40.3,0
+7228,47,Male,142,95,130,39,72,120,112,5.1,28.1,70,191,Asymptomatic,True,0.9,False,Never,5.7,95,8.6,51.2,True,10475,47.2,0
+7229,59,Male,131,85,164,59,78,109,108,5.9,24.8,98,141,Non-Anginal Pain,False,0.5,False,Never,12.3,84,7.6,68.6,True,4903,59.5,0
+7230,55,Female,151,101,195,62,114,140,101,5.1,26.8,71,172,Non-Anginal Pain,False,0.5,True,Former,5.5,183,5.2,63.2,True,10842,70.9,0
+7231,48,Female,123,86,199,61,89,251,118,5.7,29.9,86,179,Non-Anginal Pain,False,1.3,True,Never,5.6,70,7.3,52.0,False,6958,58.8,0
+7232,42,Female,114,64,202,60,103,117,111,6.0,29.2,97,177,Asymptomatic,False,0.2,False,Never,7.0,126,6.9,27.1,True,4808,83.5,0
+7233,69,Male,165,105,257,72,153,141,139,5.8,30.4,94,164,Asymptomatic,False,0.2,True,Never,15.4,145,7.9,15.4,False,9556,57.8,0
+7234,40,Male,108,71,201,69,113,145,107,4.9,18.1,78,205,Typical Angina,False,0.9,False,Never,3.0,239,7.8,52.0,True,5487,67.8,0
+7235,54,Female,124,75,186,59,78,220,117,5.4,24.5,85,179,Asymptomatic,True,0.6,False,Never,8.6,191,7.8,37.9,True,8988,84.8,0
+7236,49,Male,109,73,210,43,133,113,124,5.9,30.2,81,191,Asymptomatic,False,0.3,False,Current,5.2,88,6.1,33.0,False,9476,65.4,0
+7237,64,Male,153,103,203,42,122,176,121,5.6,30.7,79,146,Asymptomatic,False,1.5,True,Never,4.0,154,8.3,24.5,True,5411,74.5,1
+7238,68,Female,150,111,194,51,113,169,130,5.7,26.3,64,121,Non-Anginal Pain,True,2.9,False,Former,2.2,120,7.8,51.4,False,4424,74.5,1
+7239,55,Male,132,78,176,38,116,137,146,6.3,26.3,95,144,Asymptomatic,False,0.0,False,Current,2.3,120,6.4,56.8,True,6441,23.6,1
+7240,61,Female,120,73,158,67,53,204,86,5.2,27.0,86,143,Atypical Angina,False,1.3,True,Former,3.3,90,6.2,74.4,False,8063,57.8,0
+7241,47,Male,158,106,236,35,155,211,150,6.9,33.3,101,156,Non-Anginal Pain,False,0.5,False,Current,9.7,81,6.7,39.0,False,4779,50.3,1
+7242,77,Male,151,94,176,53,105,156,144,5.9,24.5,86,119,Asymptomatic,True,2.3,True,Never,4.1,128,7.9,60.4,False,6423,66.4,1
+7243,45,Male,111,59,159,57,77,146,91,5.0,26.6,102,189,Asymptomatic,False,0.2,False,Former,11.5,70,5.8,45.4,False,1931,48.5,0
+7244,84,Female,122,71,209,72,123,128,110,5.4,18.7,78,125,Typical Angina,False,1.5,True,Current,0.4,161,7.0,41.0,True,4344,54.5,0
+7245,35,Female,114,63,193,46,100,273,124,5.9,40.5,79,186,Atypical Angina,False,2.1,False,Never,2.1,91,6.9,47.9,True,5398,42.0,0
+7246,49,Male,149,94,178,47,87,220,123,6.2,25.0,86,187,Atypical Angina,False,0.4,False,Former,14.7,187,6.7,53.0,True,9391,48.9,0
+7247,57,Male,108,66,147,39,76,138,62,4.6,25.7,70,157,Non-Anginal Pain,False,0.2,False,Former,3.8,179,6.9,59.5,False,4563,63.1,0
+7248,51,Female,139,87,202,66,101,178,133,5.7,23.0,81,156,Asymptomatic,True,0.3,False,Never,12.5,99,7.6,55.5,False,1309,73.8,0
+7249,21,Female,121,79,156,66,62,122,101,4.9,23.2,77,173,Typical Angina,True,0.5,True,Former,7.4,136,6.6,34.7,False,2741,43.4,1
+7250,70,Female,123,80,248,73,146,135,136,6.2,19.8,78,170,Atypical Angina,False,0.5,False,Never,11.7,131,5.5,49.2,True,7288,54.7,0
+7251,48,Male,144,89,237,45,157,124,137,6.5,23.5,78,148,Atypical Angina,True,0.2,False,Never,3.3,78,8.4,70.6,False,3411,43.1,1
+7252,71,Female,137,87,200,64,102,213,71,4.9,23.0,78,143,Non-Anginal Pain,False,1.9,False,Never,2.5,106,8.4,63.8,True,5818,29.5,0
+7253,48,Male,126,81,144,45,72,203,149,7.3,28.8,64,171,Asymptomatic,False,2.2,False,Never,8.3,120,7.6,51.8,False,5077,43.6,0
+7254,60,Male,120,92,183,52,107,126,142,6.4,24.6,82,165,Non-Anginal Pain,False,0.2,False,Former,4.4,179,6.9,71.2,True,5971,56.7,0
+7255,67,Female,123,70,182,56,105,128,136,5.9,25.1,91,147,Non-Anginal Pain,False,0.0,False,Former,8.7,99,6.6,23.3,False,3956,37.1,0
+7256,43,Female,102,67,151,50,68,151,88,5.2,26.0,89,182,Asymptomatic,True,0.5,False,Former,0.5,82,8.1,41.1,False,5793,61.4,0
+7257,67,Female,139,84,229,54,138,219,110,6.1,26.7,92,141,Non-Anginal Pain,False,0.2,False,Former,9.8,68,10.1,31.8,False,2712,67.6,1
+7258,57,Male,129,80,211,62,131,156,145,6.5,26.0,78,166,Non-Anginal Pain,False,0.3,False,Never,1.5,162,7.4,25.1,False,4720,35.3,0
+7259,51,Female,136,80,225,69,112,128,120,6.0,28.0,93,192,Asymptomatic,False,0.0,False,Former,0.4,66,6.6,64.3,False,5951,74.6,0
+7260,79,Female,137,91,190,59,78,195,118,5.6,25.5,95,125,Asymptomatic,True,6.1,False,Never,3.1,71,5.8,41.1,False,4726,72.8,1
+7261,78,Female,122,73,177,73,74,138,190,7.4,19.9,89,132,Asymptomatic,False,0.1,False,Former,1.6,76,6.1,52.7,True,9438,41.5,0
+7262,83,Female,149,101,203,66,117,57,150,6.7,22.6,87,115,Non-Anginal Pain,False,1.8,False,Former,1.2,130,8.0,31.8,False,2404,65.3,1
+7263,56,Female,135,92,214,57,128,118,112,5.8,23.2,74,167,Non-Anginal Pain,False,0.5,True,Never,4.5,202,5.7,47.1,False,4221,85.0,0
+7264,35,Male,114,68,227,46,124,302,156,6.9,26.9,77,181,Asymptomatic,False,1.1,False,Current,20.6,132,8.2,50.0,False,4102,68.8,0
+7265,33,Female,122,87,196,64,114,119,147,6.1,22.3,95,200,Asymptomatic,False,0.4,False,Current,1.8,218,5.8,33.6,True,10135,40.6,0
+7266,58,Female,137,85,165,43,92,146,128,6.4,26.3,65,145,Typical Angina,False,0.3,False,Never,3.5,49,8.4,61.7,False,3908,60.9,0
+7267,46,Male,131,83,204,68,117,102,114,5.8,23.4,88,169,Asymptomatic,False,0.6,False,Former,1.8,88,8.0,72.6,True,8440,54.0,1
+7268,59,Male,122,80,273,83,152,155,135,6.2,24.4,92,169,Asymptomatic,False,1.1,True,Never,7.8,254,4.6,23.2,False,6449,78.0,0
+7269,49,Male,107,71,173,54,99,120,123,5.4,27.9,73,166,Asymptomatic,False,0.4,False,Former,6.2,180,8.2,40.1,True,6440,61.7,0
+7270,34,Male,123,81,185,52,91,233,90,5.8,31.3,84,193,Asymptomatic,False,0.3,False,Current,5.0,84,5.7,69.4,False,5445,42.1,0
+7271,55,Female,158,104,159,26,98,200,130,6.1,36.3,93,165,Atypical Angina,False,4.1,False,Former,8.2,45,6.4,51.9,False,2282,27.2,0
+7272,71,Female,127,80,119,50,74,46,129,5.4,18.9,88,153,Asymptomatic,False,0.6,False,Former,0.3,163,8.8,53.4,False,4516,63.7,0
+7273,50,Male,135,83,224,43,153,115,152,6.5,29.7,94,134,Non-Anginal Pain,False,3.8,True,Current,1.7,77,4.8,78.9,True,5931,70.5,1
+7274,46,Male,131,88,142,56,53,173,133,5.7,22.5,63,154,Atypical Angina,False,1.0,True,Never,3.6,150,7.1,51.8,False,10285,24.2,0
+7275,37,Male,105,57,141,52,73,89,105,5.5,32.2,73,193,Asymptomatic,False,0.5,False,Former,10.4,217,7.4,52.5,True,8272,67.1,0
+7276,57,Male,136,81,183,57,99,106,109,5.3,17.9,75,168,Non-Anginal Pain,False,0.1,False,Never,3.9,134,6.0,35.7,False,6207,52.7,0
+7277,60,Female,136,94,179,65,72,224,139,6.3,31.4,91,150,Atypical Angina,True,0.3,False,Never,5.0,0,7.6,45.4,True,6346,66.2,1
+7278,53,Female,139,79,188,58,103,133,121,5.3,26.9,84,165,Asymptomatic,False,0.6,False,Never,3.4,149,7.2,15.3,False,6156,78.6,0
+7279,60,Female,124,87,132,60,36,221,135,5.7,24.1,83,173,Typical Angina,False,0.1,False,Never,14.4,138,8.5,29.2,False,4386,64.1,0
+7280,70,Male,147,88,218,64,106,250,115,5.3,24.5,79,124,Atypical Angina,False,1.6,False,Former,8.6,123,6.5,37.8,False,3775,49.6,1
+7281,62,Male,134,87,191,65,81,217,113,5.5,19.5,94,151,Typical Angina,True,0.8,False,Current,12.5,78,6.0,51.3,False,9866,57.6,1
+7282,19,Male,104,71,183,45,105,175,142,6.5,29.9,88,183,Atypical Angina,True,4.2,False,Never,3.6,107,5.5,44.5,False,6537,33.9,1
+7283,70,Female,136,73,215,79,114,111,139,7.0,27.6,73,123,Atypical Angina,False,1.6,False,Never,7.5,238,6.5,59.9,False,6947,59.5,1
+7284,56,Male,134,88,192,58,131,48,97,5.3,25.1,88,163,Asymptomatic,False,0.5,False,Former,4.8,103,7.6,65.0,False,8549,71.1,0
+7285,36,Male,130,82,161,44,84,117,121,5.1,28.5,82,185,Atypical Angina,False,1.2,False,Never,13.5,145,8.3,12.6,False,5940,41.3,0
+7286,61,Male,121,81,187,48,123,98,101,5.1,24.2,87,148,Typical Angina,False,1.4,False,Current,5.1,233,5.7,67.9,True,6175,41.3,0
+7287,43,Male,135,84,168,50,85,117,134,5.9,28.3,77,184,Asymptomatic,False,0.6,True,Never,3.9,75,10.0,46.3,True,7835,79.2,0
+7288,40,Female,118,65,175,47,111,106,121,5.7,28.2,84,187,Asymptomatic,False,1.0,False,Current,0.7,106,9.9,25.6,False,4499,55.0,0
+7289,58,Male,106,74,157,61,74,114,114,5.1,21.7,86,169,Asymptomatic,False,0.7,False,Never,3.6,187,7.6,31.4,True,5671,67.5,0
+7290,66,Female,125,72,215,61,111,133,136,6.6,20.8,59,149,Non-Anginal Pain,False,0.0,True,Never,1.7,142,5.3,23.5,False,4563,51.5,0
+7291,72,Female,139,93,216,67,116,162,111,5.9,23.8,81,158,Asymptomatic,False,0.4,False,Never,2.0,139,7.8,49.5,False,7267,68.3,0
+7292,52,Male,139,98,144,46,59,196,107,5.2,27.5,73,185,Non-Anginal Pain,False,0.3,False,Never,11.0,145,6.7,45.2,False,2569,84.2,0
+7293,58,Female,137,90,176,54,106,157,112,5.9,26.4,86,157,Asymptomatic,True,0.3,False,Former,11.4,84,7.2,70.1,False,4758,29.1,1
+7294,49,Male,108,56,201,69,105,174,123,5.8,18.8,71,170,Asymptomatic,False,0.1,True,Never,1.9,183,6.3,23.9,False,5656,53.6,0
+7295,41,Female,119,77,195,70,102,107,122,6.5,25.3,79,196,Atypical Angina,False,0.4,True,Current,1.3,190,6.7,43.6,False,10860,67.5,0
+7296,20,Male,109,66,193,62,99,97,108,5.9,18.8,72,208,Non-Anginal Pain,False,0.1,False,Current,2.2,148,9.1,53.7,True,10784,47.8,0
+7297,67,Male,138,93,173,42,109,98,162,6.8,24.9,89,123,Asymptomatic,False,0.3,False,Former,4.4,139,6.6,73.5,False,5202,36.3,1
+7298,58,Male,146,98,192,53,90,168,129,6.6,26.4,76,167,Non-Anginal Pain,False,1.7,False,Former,12.7,228,7.3,49.6,True,7004,72.7,0
+7299,61,Female,134,92,200,54,113,145,148,6.5,28.7,101,149,Asymptomatic,False,1.5,False,Never,3.6,132,5.5,43.0,False,3543,58.5,1
+7300,53,Female,114,69,212,67,125,119,119,5.6,20.5,70,176,Typical Angina,False,0.4,False,Never,2.0,130,7.5,41.9,False,4154,70.4,0
+7301,62,Male,117,73,193,51,105,143,150,6.9,22.3,86,150,Typical Angina,True,2.5,True,Current,12.7,27,4.4,62.6,False,6063,59.7,1
+7302,45,Female,132,74,180,62,96,82,109,6.0,17.9,92,173,Asymptomatic,True,0.0,False,Current,15.7,256,6.1,53.3,False,4989,57.7,0
+7303,71,Female,149,88,153,57,77,106,119,6.2,23.5,79,129,Non-Anginal Pain,False,3.9,False,Former,0.8,156,7.3,40.9,True,4101,55.6,1
+7304,70,Female,152,95,175,45,107,114,132,6.0,27.8,88,149,Atypical Angina,True,2.7,True,Never,0.4,89,4.4,44.7,False,4049,44.7,1
+7305,74,Female,116,65,195,49,124,74,119,5.9,26.8,66,158,Non-Anginal Pain,False,0.5,False,Former,0.6,164,5.7,46.6,False,3914,70.2,0
+7306,42,Male,127,83,177,47,97,129,103,5.3,29.5,93,198,Non-Anginal Pain,False,2.1,False,Never,6.4,140,5.0,26.0,False,7369,68.9,0
+7307,62,Male,125,78,176,66,86,120,122,5.5,20.3,78,161,Typical Angina,False,0.1,False,Never,9.6,155,5.5,30.3,False,8010,88.7,0
+7308,48,Female,111,74,191,44,98,183,123,5.8,24.9,82,163,Asymptomatic,False,0.1,False,Former,1.5,205,8.8,34.8,True,7414,61.0,0
+7309,49,Female,118,70,177,48,91,217,130,6.5,32.3,83,176,Asymptomatic,False,0.5,False,Former,0.4,155,7.1,25.5,True,6471,40.8,0
+7310,56,Female,125,93,249,62,142,157,137,6.4,25.0,64,150,Non-Anginal Pain,False,0.3,False,Never,1.0,172,8.9,26.1,True,7846,61.6,0
+7311,51,Male,125,69,135,40,53,195,129,6.6,30.4,80,176,Asymptomatic,True,0.0,False,Never,9.8,136,7.8,66.6,True,5668,43.3,0
+7312,33,Male,102,65,194,50,98,158,115,5.6,21.1,75,182,Asymptomatic,False,0.7,False,Never,4.0,174,8.8,42.4,True,7903,70.8,0
+7313,62,Female,160,95,194,60,122,82,99,5.7,23.8,79,155,Asymptomatic,False,1.0,False,Former,0.3,181,7.3,75.9,True,4537,48.5,0
+7314,62,Female,121,83,213,67,110,148,115,5.8,25.8,87,161,Asymptomatic,True,0.6,False,Never,7.2,143,8.2,65.8,True,9055,56.7,0
+7315,55,Male,127,79,193,56,107,104,127,6.5,24.3,84,148,Non-Anginal Pain,False,0.8,False,Former,2.4,166,6.3,60.3,True,9296,56.0,0
+7316,55,Male,141,94,161,85,59,93,100,5.4,20.4,78,172,Asymptomatic,False,0.5,False,Never,4.9,142,7.1,34.9,False,4425,68.0,0
+7317,41,Female,133,80,223,73,123,154,82,4.8,23.8,72,189,Asymptomatic,False,0.1,False,Current,1.1,236,8.4,33.8,False,6149,60.2,0
+7318,60,Male,149,90,172,47,120,57,145,6.5,21.9,74,140,Asymptomatic,False,3.0,True,Never,3.7,131,5.8,58.3,True,8739,48.1,0
+7319,77,Male,143,80,202,58,119,127,104,4.8,24.8,74,154,Asymptomatic,False,0.3,False,Never,5.4,139,8.6,40.0,True,9718,60.3,0
+7320,39,Male,111,74,131,59,55,130,102,5.2,24.4,74,187,Atypical Angina,False,0.2,False,Never,2.7,203,7.3,20.1,False,6300,70.6,0
+7321,48,Male,140,89,195,46,125,120,147,6.9,28.1,83,141,Asymptomatic,True,2.6,True,Current,6.2,100,7.4,36.9,True,7143,64.9,1
+7322,45,Male,135,95,212,69,83,210,119,6.0,24.4,85,163,Typical Angina,True,2.2,False,Current,11.1,102,5.7,20.0,False,4301,63.9,1
+7323,45,Female,114,81,236,65,137,193,105,5.1,23.8,72,171,Typical Angina,False,1.4,False,Never,3.1,99,5.3,55.8,False,8268,30.1,0
+7324,63,Male,139,87,182,43,101,174,124,5.9,27.0,81,171,Atypical Angina,False,1.2,False,Former,2.0,50,7.9,41.6,True,3356,77.9,0
+7325,75,Male,150,94,154,47,89,135,186,8.0,28.8,88,136,Atypical Angina,True,3.8,False,Never,9.9,102,6.2,37.8,False,4966,58.6,1
+7326,74,Female,118,72,223,68,101,229,173,7.4,30.9,80,109,Asymptomatic,False,1.4,True,Never,16.1,102,6.4,54.6,False,596,49.1,1
+7327,37,Female,128,76,194,79,77,203,122,6.7,27.7,83,185,Typical Angina,False,0.2,False,Never,2.8,336,7.3,48.1,True,9042,64.2,0
+7328,54,Male,141,92,162,40,91,197,151,6.6,32.7,83,152,Atypical Angina,False,0.6,False,Former,4.6,149,7.4,36.2,False,7299,100.0,1
+7329,49,Male,119,76,163,47,92,59,97,5.1,22.4,92,178,Atypical Angina,False,3.3,False,Current,4.6,248,7.5,50.2,True,12753,54.8,0
+7330,69,Female,148,106,207,60,123,104,103,5.4,20.5,79,116,Atypical Angina,False,0.9,False,Former,2.8,59,6.5,60.0,False,4438,64.3,1
+7331,74,Male,129,76,273,70,179,106,111,5.6,17.9,87,118,Atypical Angina,True,0.8,False,Current,1.9,136,5.6,27.3,True,5479,31.4,1
+7332,48,Female,118,71,216,83,118,101,103,4.8,28.0,90,167,Non-Anginal Pain,False,1.4,False,Never,1.9,189,6.7,50.2,True,5963,69.3,0
+7333,31,Male,147,80,170,31,120,138,130,6.0,33.9,97,189,Non-Anginal Pain,True,1.1,False,Current,13.3,125,6.0,39.8,False,6529,19.5,1
+7334,62,Female,114,67,213,68,98,223,113,5.1,28.8,76,164,Asymptomatic,False,3.2,False,Never,2.1,172,9.3,59.8,True,7310,58.3,0
+7335,54,Male,113,85,223,52,134,143,113,5.1,17.4,72,173,Atypical Angina,False,1.6,False,Former,2.1,201,7.3,56.9,True,7391,66.0,0
+7336,66,Female,126,70,167,66,74,144,138,6.0,30.0,73,164,Asymptomatic,False,0.3,False,Former,2.5,148,6.8,52.7,False,931,44.5,0
+7337,61,Male,122,70,180,44,106,166,160,6.7,36.6,81,159,Typical Angina,False,0.8,False,Former,6.1,124,7.2,30.3,True,7123,55.3,1
+7338,56,Female,130,77,129,58,63,115,105,6.0,19.4,79,190,Asymptomatic,False,0.2,False,Former,5.6,186,7.8,22.1,False,3051,50.1,0
+7339,45,Male,128,74,156,53,87,114,120,5.4,28.8,80,178,Asymptomatic,False,0.2,True,Former,3.7,84,8.7,51.7,True,3356,55.0,0
+7340,40,Female,117,74,169,86,43,134,145,6.1,23.2,82,200,Asymptomatic,False,0.2,False,Never,33.2,108,6.7,17.5,False,6055,46.8,0
+7341,64,Male,133,89,182,23,113,183,128,6.5,24.7,78,129,Non-Anginal Pain,False,0.5,False,Current,4.1,129,7.9,75.7,False,3813,62.9,1
+7342,42,Male,127,76,194,72,80,184,119,6.3,27.2,76,197,Non-Anginal Pain,False,0.2,False,Never,2.6,174,8.2,57.0,True,7270,55.3,0
+7343,55,Female,160,108,189,62,102,194,123,6.1,27.9,76,156,Typical Angina,True,2.1,False,Never,5.2,119,7.2,52.3,False,5012,61.9,1
+7344,48,Male,116,66,214,70,101,184,139,5.6,15.7,89,191,Atypical Angina,False,0.8,False,Never,1.9,182,6.4,34.1,True,3895,58.4,0
+7345,43,Male,120,75,180,41,110,132,107,5.8,28.5,77,189,Typical Angina,False,0.4,False,Never,6.3,85,7.8,38.7,False,6051,81.3,0
+7346,29,Male,118,70,191,60,90,171,91,4.9,29.2,84,205,Asymptomatic,False,0.1,True,Never,2.1,172,7.6,68.8,True,8252,63.7,0
+7347,64,Female,133,86,218,61,131,114,118,5.8,25.7,70,172,Non-Anginal Pain,False,1.3,False,Former,9.8,168,6.9,35.0,False,8392,28.4,0
+7348,76,Female,148,93,265,67,151,196,151,7.0,31.5,87,133,Non-Anginal Pain,False,2.2,True,Former,1.2,119,7.1,48.6,True,10747,57.2,1
+7349,32,Male,123,70,159,69,73,72,79,4.3,19.5,78,183,Asymptomatic,False,0.1,False,Former,3.2,184,7.4,64.7,True,7311,83.2,0
+7350,71,Female,151,95,163,45,97,126,121,5.8,26.2,67,124,Atypical Angina,False,0.5,False,Never,5.5,210,6.1,24.6,True,9055,66.8,1
+7351,22,Male,110,79,182,43,108,149,102,5.4,29.5,87,210,Atypical Angina,False,1.2,False,Current,2.1,247,8.9,73.0,False,7030,35.8,0
+7352,67,Male,129,79,174,48,89,141,125,6.2,22.4,67,146,Atypical Angina,False,0.2,False,Never,4.9,155,7.0,33.8,True,7586,71.9,0
+7353,48,Male,118,73,198,58,118,57,85,5.0,20.7,67,181,Atypical Angina,False,0.7,False,Former,5.8,229,8.2,43.2,False,6390,54.1,0
+7354,56,Female,125,82,274,79,173,130,106,5.1,20.2,79,189,Non-Anginal Pain,False,0.6,True,Former,1.6,197,6.0,58.2,False,2752,49.9,0
+7355,48,Female,116,65,171,50,95,190,151,6.7,26.7,83,174,Asymptomatic,False,0.1,False,Never,0.7,112,6.8,44.5,False,7019,52.8,0
+7356,88,Female,161,98,256,58,173,150,137,6.9,29.7,91,123,Asymptomatic,False,2.4,True,Current,3.6,160,6.4,77.7,True,7240,68.1,1
+7357,52,Female,123,75,191,58,100,152,133,6.3,28.2,83,152,Asymptomatic,False,1.0,False,Never,1.6,152,7.4,21.2,True,5081,65.4,0
+7358,28,Female,122,66,173,38,107,178,113,5.7,26.6,88,192,Typical Angina,False,1.2,False,Current,5.7,42,5.8,53.6,False,6032,45.8,0
+7359,59,Female,147,87,192,82,71,170,146,6.7,21.0,83,179,Asymptomatic,False,0.5,False,Former,3.1,278,7.2,50.1,True,8186,68.9,0
+7360,74,Male,138,94,191,40,118,241,104,5.3,28.0,86,139,Asymptomatic,False,2.2,False,Current,5.4,214,6.9,40.1,True,4719,50.2,1
+7361,41,Male,140,85,186,75,77,197,114,5.8,19.8,83,190,Asymptomatic,False,1.0,False,Never,5.8,225,8.0,37.3,True,8990,68.3,0
+7362,69,Female,141,89,172,74,96,75,125,6.1,21.5,86,153,Asymptomatic,False,1.2,False,Never,0.9,145,5.8,39.0,True,4272,57.8,0
+7363,26,Male,112,68,183,54,105,75,74,4.0,24.4,94,209,Asymptomatic,False,1.7,True,Current,3.2,290,7.3,56.4,True,10063,64.6,0
+7364,74,Male,106,68,224,66,106,229,96,4.5,19.6,73,164,Typical Angina,True,0.0,False,Never,12.2,238,6.4,31.5,True,5575,47.0,0
+7365,39,Male,142,99,164,49,93,123,158,6.4,24.8,79,160,Non-Anginal Pain,True,3.7,False,Current,8.6,120,7.7,59.1,False,5380,76.0,1
+7366,65,Male,135,101,144,47,58,184,128,5.8,28.5,77,125,Typical Angina,False,0.3,False,Never,8.7,123,6.2,31.1,True,5096,56.8,1
+7367,64,Male,138,86,155,61,86,35,81,5.1,22.9,89,148,Asymptomatic,True,0.3,False,Never,1.7,107,6.2,65.0,False,3481,66.4,0
+7368,69,Female,126,76,155,39,103,73,127,6.1,29.1,86,159,Atypical Angina,False,0.6,False,Former,0.7,101,6.3,57.8,False,5690,35.0,0
+7369,73,Male,154,101,194,44,115,139,155,6.8,33.0,78,147,Atypical Angina,False,0.3,True,Never,2.0,52,8.0,38.3,False,6486,56.9,1
+7370,65,Female,133,76,175,55,78,203,143,6.4,29.0,75,170,Atypical Angina,False,0.9,True,Former,1.3,173,6.1,3.0,True,8983,61.5,0
+7371,41,Male,112,70,193,51,124,113,143,6.8,29.3,81,184,Asymptomatic,False,0.4,False,Current,3.9,167,6.8,26.9,True,9308,52.9,0
+7372,47,Female,133,84,202,46,117,160,118,6.2,26.6,100,192,Asymptomatic,False,0.1,True,Current,0.8,160,7.1,52.7,False,6648,44.7,0
+7373,46,Male,129,73,121,42,61,124,145,6.5,25.5,82,159,Asymptomatic,False,0.1,False,Never,2.4,123,7.0,59.2,True,5141,54.0,1
+7374,58,Female,125,87,159,64,79,66,112,5.5,21.8,83,158,Asymptomatic,False,1.5,False,Never,3.1,56,8.5,48.9,False,6189,65.6,0
+7375,45,Male,100,74,231,50,144,154,131,6.3,30.3,82,193,Atypical Angina,False,0.1,False,Never,10.6,154,6.2,35.5,False,6505,83.6,0
+7376,49,Female,116,63,211,64,111,135,111,5.9,30.1,61,174,Asymptomatic,False,1.1,False,Never,5.0,230,7.7,29.4,True,10863,75.3,0
+7377,63,Female,134,92,178,46,111,97,139,6.7,29.2,93,131,Atypical Angina,True,1.8,False,Never,1.6,24,5.4,72.6,False,1102,36.8,1
+7378,75,Female,145,80,233,73,115,156,112,5.6,27.3,80,146,Non-Anginal Pain,False,0.3,True,Never,18.8,164,5.3,55.8,False,3685,83.9,0
+7379,51,Female,122,82,170,51,94,176,103,5.7,31.3,82,172,Non-Anginal Pain,False,1.3,False,Never,5.9,213,6.6,49.3,False,6966,34.0,0
+7380,56,Female,119,73,172,54,97,175,123,6.1,24.1,79,172,Atypical Angina,False,0.3,False,Never,0.1,138,5.5,18.3,False,4074,62.5,0
+7381,54,Male,137,81,196,83,88,64,89,5.1,26.7,78,158,Non-Anginal Pain,False,0.7,False,Former,7.9,132,6.1,90.9,True,7490,65.3,0
+7382,56,Female,132,86,159,55,84,195,166,7.0,30.6,86,162,Asymptomatic,False,2.5,False,Never,4.4,123,7.1,40.2,False,5693,48.7,0
+7383,64,Male,149,96,203,63,100,173,137,7.0,23.7,78,142,Asymptomatic,False,0.1,True,Former,9.9,189,4.5,43.8,True,8664,78.4,0
+7384,57,Male,159,99,157,42,91,122,105,5.1,29.0,99,135,Typical Angina,False,0.6,False,Former,3.9,64,6.5,60.0,False,5194,55.8,1
+7385,62,Male,131,80,153,58,93,40,119,5.5,18.1,75,149,Typical Angina,True,1.1,False,Never,9.2,226,7.3,32.4,True,8129,65.3,1
+7386,55,Male,115,75,218,52,131,155,147,6.1,25.8,78,136,Atypical Angina,False,3.3,True,Former,5.4,195,6.3,71.9,False,5606,52.8,1
+7387,29,Female,124,78,176,49,85,184,117,5.8,32.3,85,200,Atypical Angina,False,0.1,True,Former,2.5,188,8.4,45.8,False,6253,53.5,0
+7388,54,Female,136,80,189,65,97,159,103,5.2,29.4,73,179,Non-Anginal Pain,False,0.0,True,Former,2.3,219,6.9,50.4,True,6593,62.5,0
+7389,63,Male,115,63,171,82,41,242,140,6.6,23.5,83,142,Atypical Angina,False,1.0,False,Never,5.3,226,7.3,65.5,False,5254,71.5,0
+7390,45,Male,116,76,165,51,69,168,135,6.0,24.2,78,167,Asymptomatic,False,0.4,True,Never,1.9,74,5.5,57.1,False,2861,67.8,0
+7391,66,Male,124,71,168,49,90,151,123,5.8,31.9,84,168,Atypical Angina,False,0.9,False,Never,7.5,0,9.3,62.1,False,2135,69.4,0
+7392,41,Male,144,97,186,51,98,184,110,5.8,25.2,72,189,Asymptomatic,True,0.1,False,Never,13.8,196,6.0,32.7,True,7399,74.1,0
+7393,51,Female,139,89,203,83,79,188,76,5.0,26.0,91,190,Asymptomatic,False,0.4,False,Never,4.8,165,7.4,60.0,True,8724,61.1,0
+7394,52,Male,141,91,235,41,139,255,138,6.9,37.6,69,164,Asymptomatic,False,0.7,False,Never,6.5,180,5.6,54.0,True,8591,69.3,0
+7395,27,Male,123,80,182,41,95,157,140,6.3,33.4,95,179,Atypical Angina,False,1.9,False,Never,1.6,47,6.9,54.8,False,6419,83.1,1
+7396,43,Male,114,78,225,57,114,271,124,5.8,33.0,86,170,Asymptomatic,True,1.6,True,Current,11.5,160,4.9,71.0,False,6983,40.9,1
+7397,37,Male,122,75,192,44,124,95,160,6.9,25.7,89,180,Atypical Angina,False,1.8,False,Never,6.7,91,7.6,53.5,False,5472,67.1,1
+7398,50,Female,138,103,191,41,112,153,134,6.4,27.7,78,183,Asymptomatic,True,0.3,False,Current,6.5,172,8.4,31.5,True,6898,30.5,0
+7399,59,Female,125,78,137,43,80,89,95,4.9,20.7,83,178,Typical Angina,True,0.8,False,Never,1.8,56,7.0,37.2,False,2670,44.3,0
+7400,28,Male,126,75,190,58,100,234,117,5.4,33.3,83,204,Atypical Angina,True,3.2,False,Never,7.8,133,6.6,44.3,False,6575,55.5,0
+7401,44,Female,123,80,122,67,46,95,113,5.8,25.3,73,188,Asymptomatic,False,0.5,True,Never,7.6,143,6.9,50.2,False,7411,77.7,0
+7402,58,Male,142,98,139,73,50,58,117,5.4,15.9,83,171,Atypical Angina,False,0.1,False,Former,14.0,244,7.5,40.6,True,8672,65.0,0
+7403,68,Female,141,88,188,49,120,59,139,6.1,26.8,88,123,Asymptomatic,True,2.4,True,Former,7.0,92,5.4,62.8,False,3736,46.4,1
+7404,68,Male,135,101,105,45,45,143,90,4.8,19.9,78,136,Asymptomatic,True,0.4,False,Never,1.8,224,6.6,29.4,True,7029,51.3,0
+7405,51,Female,121,81,192,40,119,141,60,4.0,23.6,69,158,Non-Anginal Pain,False,0.5,True,Never,1.9,165,6.1,60.6,False,6805,49.7,1
+7406,52,Female,150,85,197,61,107,162,113,5.3,27.8,88,172,Asymptomatic,False,0.7,False,Former,3.2,97,7.2,93.6,False,5237,69.6,0
+7407,64,Male,159,106,174,58,95,140,158,7.0,22.9,76,168,Non-Anginal Pain,True,1.0,True,Former,3.7,0,6.9,68.1,True,6261,74.7,0
+7408,60,Male,122,76,233,69,115,200,102,5.0,24.8,53,171,Asymptomatic,False,0.1,False,Never,3.8,126,7.5,41.7,True,5317,61.5,0
+7409,70,Female,124,84,121,39,61,144,118,5.8,24.6,84,158,Atypical Angina,False,0.2,False,Former,1.0,76,5.9,30.7,False,5649,44.3,0
+7410,37,Male,103,74,189,60,131,46,115,5.7,24.4,75,192,Non-Anginal Pain,False,0.2,False,Current,2.2,178,5.7,37.0,False,5826,84.7,0
+7411,60,Male,140,95,223,77,100,198,70,4.2,18.4,58,186,Asymptomatic,False,0.6,False,Former,20.5,178,9.7,43.2,True,7029,77.6,0
+7412,61,Male,134,88,178,49,96,160,102,5.4,23.9,59,149,Typical Angina,False,0.2,True,Never,1.7,97,7.5,30.7,False,3405,78.1,0
+7413,66,Male,109,59,141,47,62,103,89,4.4,23.8,87,162,Asymptomatic,False,0.6,False,Never,3.4,152,4.8,42.5,True,4180,77.4,0
+7414,24,Male,129,87,154,58,78,101,143,6.9,23.7,90,186,Asymptomatic,False,0.3,True,Current,15.3,86,7.9,90.1,False,6765,62.4,0
+7415,54,Female,132,94,129,50,68,80,133,6.4,27.2,84,159,Asymptomatic,False,1.4,False,Never,7.2,101,7.8,71.9,True,5739,37.1,1
+7416,65,Male,127,76,217,58,133,140,137,5.9,21.0,84,140,Non-Anginal Pain,False,0.1,True,Never,1.9,235,7.3,55.7,False,5993,68.0,0
+7417,66,Female,136,97,194,63,105,165,139,6.2,18.9,68,169,Non-Anginal Pain,False,0.6,False,Former,13.9,117,5.2,35.2,False,5999,56.2,0
+7418,66,Female,120,68,195,52,112,163,116,5.3,26.8,93,159,Non-Anginal Pain,False,1.7,False,Never,15.9,142,6.9,52.7,True,8301,79.5,0
+7419,26,Female,115,69,145,64,55,137,111,5.8,22.4,89,205,Non-Anginal Pain,False,0.1,True,Current,0.2,117,6.3,51.0,True,4213,42.9,0
+7420,45,Male,138,87,179,45,91,189,137,6.0,25.8,84,179,Asymptomatic,False,1.0,False,Never,1.5,0,5.7,47.1,False,4748,81.8,0
+7421,61,Female,151,92,147,48,86,159,106,4.5,23.9,89,157,Atypical Angina,True,0.3,True,Former,3.7,122,6.7,24.8,True,7346,63.7,1
+7422,46,Female,126,74,225,73,123,147,141,6.5,27.0,73,185,Asymptomatic,False,1.6,False,Never,7.9,187,9.0,29.9,True,9249,52.1,0
+7423,36,Female,116,61,168,57,101,48,113,5.6,15.0,62,192,Typical Angina,True,1.2,False,Never,8.4,221,7.1,67.9,True,8794,88.2,0
+7424,42,Female,94,65,167,69,66,178,87,4.9,19.5,82,187,Asymptomatic,False,0.6,True,Never,0.0,171,6.0,36.6,False,4325,100.0,0
+7425,51,Female,132,77,198,59,95,173,124,5.8,30.7,82,172,Asymptomatic,False,0.2,False,Never,13.8,96,7.1,59.9,False,4894,61.0,1
+7426,59,Male,137,91,148,46,91,150,124,5.4,28.3,84,194,Asymptomatic,False,0.1,False,Current,3.9,166,7.3,26.5,False,6099,60.9,0
+7427,51,Female,154,103,237,41,148,204,136,6.3,28.4,96,168,Asymptomatic,False,4.4,True,Current,4.1,120,8.4,56.4,True,7616,48.4,1
+7428,44,Male,133,78,180,51,98,180,92,4.6,23.4,77,210,Asymptomatic,True,0.4,False,Never,8.7,187,4.4,51.1,True,9204,45.8,0
+7429,64,Female,132,83,256,85,128,158,127,6.5,23.0,98,140,Asymptomatic,False,1.5,False,Never,0.5,54,7.5,40.4,True,6827,74.7,0
+7430,39,Female,99,69,209,83,100,163,100,4.9,20.8,94,185,Asymptomatic,True,0.2,False,Never,10.5,177,5.9,49.5,True,7578,77.4,0
+7431,72,Male,146,96,188,47,109,119,60,4.3,22.7,75,140,Atypical Angina,False,0.2,True,Never,8.3,137,4.7,49.1,False,4958,53.4,0
+7432,47,Male,125,77,171,45,83,237,110,4.9,26.9,92,166,Asymptomatic,True,4.6,False,Never,6.1,70,6.7,55.2,False,4195,44.0,1
+7433,64,Male,124,77,239,66,142,86,104,5.2,25.6,81,171,Asymptomatic,False,0.1,False,Never,2.4,133,6.3,28.5,False,5155,64.3,0
+7434,49,Female,127,90,147,70,63,93,136,6.5,23.3,74,184,Non-Anginal Pain,False,1.9,False,Never,6.8,277,8.1,45.0,True,5775,53.6,0
+7435,88,Female,140,86,194,41,126,128,120,5.9,32.2,89,122,Non-Anginal Pain,False,2.1,False,Former,2.1,54,6.9,6.0,False,6058,55.7,1
+7436,70,Female,142,76,153,33,94,154,120,5.7,29.6,92,100,Asymptomatic,False,0.6,False,Former,2.7,4,5.4,44.5,False,2977,96.2,1
+7437,69,Female,146,99,207,70,99,140,132,6.2,15.0,68,145,Atypical Angina,False,0.0,False,Never,1.3,117,5.8,19.6,True,7933,50.6,0
+7438,39,Male,111,76,129,29,81,79,100,5.2,24.7,75,180,Atypical Angina,False,0.6,False,Current,2.9,219,6.5,38.4,False,5644,72.3,0
+7439,53,Female,132,79,197,68,110,77,117,5.5,26.9,82,160,Asymptomatic,True,0.3,False,Never,12.0,96,6.5,49.7,False,5643,55.1,1
+7440,52,Male,122,84,169,49,90,140,140,6.5,29.6,75,150,Asymptomatic,False,0.2,True,Never,2.2,212,7.1,36.6,True,6473,70.4,0
+7441,39,Male,110,85,205,70,99,149,114,5.6,19.3,79,192,Asymptomatic,False,0.3,False,Never,7.7,210,9.4,61.8,True,8976,84.3,0
+7442,67,Female,152,100,202,68,86,236,134,6.3,27.2,84,143,Non-Anginal Pain,False,0.9,False,Former,2.9,67,6.0,44.5,True,6027,64.9,0
+7443,75,Male,167,110,228,43,150,183,142,6.3,25.5,89,130,Asymptomatic,True,5.4,False,Never,12.8,129,6.2,79.9,False,6777,70.9,1
+7444,45,Male,120,83,176,75,81,116,92,5.9,30.8,77,178,Asymptomatic,True,1.2,False,Never,1.6,110,7.8,52.8,False,4747,57.9,0
+7445,44,Female,128,91,161,69,64,128,94,5.1,23.0,78,168,Typical Angina,False,2.2,False,Never,10.8,174,6.8,52.0,True,8286,78.5,0
+7446,68,Male,130,81,139,59,62,114,140,6.2,23.6,94,168,Asymptomatic,True,0.6,False,Never,3.1,177,7.7,50.5,False,5667,45.5,0
+7447,61,Female,149,95,180,66,94,116,141,6.4,21.4,85,136,Non-Anginal Pain,False,4.6,False,Former,0.5,171,7.7,80.1,True,7288,83.3,1
+7448,60,Male,120,78,165,49,96,210,100,5.4,27.8,76,176,Asymptomatic,False,1.4,False,Never,2.3,80,7.6,14.2,True,5234,38.7,0
+7449,55,Male,124,71,155,51,75,124,172,7.5,29.4,91,144,Asymptomatic,False,0.6,False,Never,3.0,55,6.8,72.1,False,9358,62.2,0
+7450,43,Male,130,77,191,37,117,187,111,5.4,25.7,69,157,Atypical Angina,False,1.6,False,Current,8.4,152,7.7,68.6,False,3322,40.1,0
+7451,44,Female,116,63,170,50,82,171,108,5.0,28.9,83,189,Atypical Angina,False,0.5,False,Current,1.6,111,6.3,52.9,True,4802,64.9,0
+7452,60,Male,135,100,187,39,109,101,99,5.6,23.7,82,152,Asymptomatic,False,0.2,False,Never,5.4,15,7.0,57.9,False,500,50.9,0
+7453,57,Male,114,79,213,48,140,153,131,5.9,21.4,81,171,Typical Angina,False,1.0,True,Current,3.8,166,5.6,65.1,True,7850,63.2,1
+7454,42,Female,114,71,206,56,127,87,134,6.1,28.5,68,192,Asymptomatic,False,0.1,False,Current,1.7,184,7.7,50.4,False,4502,62.0,0
+7455,67,Female,119,80,192,50,128,150,166,7.6,31.3,77,149,Asymptomatic,True,0.1,False,Never,2.4,80,7.4,75.4,False,1912,27.5,1
+7456,50,Male,109,64,198,60,108,188,111,5.5,21.3,85,190,Non-Anginal Pain,False,0.8,False,Former,2.3,97,6.1,47.8,True,6510,62.2,0
+7457,70,Female,137,89,192,71,104,148,128,5.7,30.8,97,143,Asymptomatic,True,3.8,False,Never,8.6,92,4.6,61.6,False,5965,44.0,1
+7458,62,Male,136,75,120,51,47,87,104,5.8,21.9,72,180,Asymptomatic,False,0.3,False,Never,2.7,212,8.6,66.2,False,7156,62.5,0
+7459,63,Male,136,79,187,28,123,163,122,5.7,28.2,80,129,Non-Anginal Pain,True,1.3,True,Never,2.9,77,7.4,45.6,False,3067,21.5,1
+7460,60,Male,142,84,175,51,91,202,115,5.9,26.8,85,160,Non-Anginal Pain,False,2.1,False,Current,5.9,152,8.2,45.1,False,5323,77.2,0
+7461,61,Male,129,83,223,53,128,159,151,6.8,27.0,71,174,Asymptomatic,False,0.2,False,Current,6.9,140,6.4,74.3,False,7616,59.6,0
+7462,54,Female,128,76,149,72,66,82,106,5.1,23.6,84,153,Non-Anginal Pain,False,0.3,False,Never,0.6,132,8.3,48.6,False,7809,62.0,0
+7463,38,Male,121,68,155,62,60,169,112,5.6,27.2,100,190,Non-Anginal Pain,False,0.6,False,Former,7.5,203,6.2,53.1,True,6535,85.4,0
+7464,47,Male,134,78,167,48,91,144,98,4.8,22.6,83,157,Typical Angina,False,1.7,True,Former,2.3,184,6.8,47.9,False,7053,67.5,0
+7465,61,Male,135,79,160,35,92,189,131,5.8,24.6,79,151,Asymptomatic,False,0.9,False,Never,1.8,146,6.6,39.2,False,2871,73.6,0
+7466,61,Female,130,87,237,47,140,240,105,5.8,36.4,86,151,Atypical Angina,False,1.6,False,Never,0.2,215,7.0,31.9,True,5818,67.3,0
+7467,69,Female,101,58,187,81,80,120,159,6.6,24.2,74,166,Asymptomatic,False,1.4,False,Never,4.3,278,7.1,21.6,True,10084,47.5,0
+7468,36,Female,116,67,183,64,109,78,123,5.9,19.6,94,192,Atypical Angina,False,0.8,False,Former,1.8,153,5.8,47.3,True,7370,69.9,0
+7469,56,Male,114,76,163,56,81,126,121,5.8,22.5,75,192,Asymptomatic,False,0.4,True,Former,12.4,234,7.5,64.7,True,13031,71.8,0
+7470,59,Female,115,70,200,44,125,154,150,6.5,24.9,84,148,Asymptomatic,False,1.1,True,Never,5.3,125,5.6,52.2,False,5431,50.4,1
+7471,71,Male,146,86,167,42,78,259,129,6.2,25.4,87,140,Atypical Angina,True,0.1,False,Never,3.5,144,5.9,57.0,True,6738,79.0,1
+7472,78,Female,129,85,170,53,91,111,161,6.9,21.0,87,130,Asymptomatic,False,1.2,False,Never,2.6,113,8.4,72.5,False,3511,59.0,1
+7473,35,Female,125,66,157,62,67,146,153,6.8,26.2,81,189,Asymptomatic,False,0.4,True,Never,10.0,183,9.5,42.9,False,5229,38.0,0
+7474,59,Male,133,91,202,67,112,137,101,5.1,23.6,77,145,Atypical Angina,False,0.4,False,Never,12.0,216,7.9,65.2,True,8254,56.8,0
+7475,48,Female,120,78,206,42,120,208,119,6.1,36.0,72,181,Atypical Angina,False,0.2,True,Never,2.4,99,7.7,19.8,False,4684,53.2,0
+7476,42,Male,124,79,155,40,97,95,138,6.3,25.3,93,163,Asymptomatic,False,0.5,False,Never,2.6,137,5.6,62.8,False,7325,50.6,0
+7477,56,Female,131,77,215,60,126,154,108,4.5,28.9,78,148,Typical Angina,True,0.5,False,Current,2.1,161,5.8,42.7,False,8083,25.4,1
+7478,73,Female,146,88,230,66,120,224,112,5.3,19.6,75,138,Non-Anginal Pain,False,1.2,True,Former,2.1,213,6.0,49.5,False,6417,62.2,0
+7479,36,Female,119,65,149,47,65,141,83,5.4,26.1,93,198,Asymptomatic,False,1.9,True,Former,0.8,54,7.7,62.9,True,4029,38.9,0
+7480,53,Male,125,74,174,60,84,136,95,5.4,26.6,98,182,Asymptomatic,False,0.6,False,Never,17.2,175,7.2,33.7,False,4662,100.0,0
+7481,62,Female,143,90,194,50,114,111,151,6.5,36.1,93,137,Asymptomatic,False,1.1,False,Never,2.2,87,6.4,62.6,False,6755,62.7,1
+7482,39,Male,117,85,144,56,82,132,123,6.0,27.7,89,171,Non-Anginal Pain,False,0.1,False,Never,6.4,186,7.3,47.1,True,6658,58.7,0
+7483,58,Male,132,80,220,51,131,168,157,6.9,32.1,79,183,Asymptomatic,False,0.0,False,Never,2.3,112,5.8,42.8,True,7555,4.8,0
+7484,39,Female,129,86,245,80,138,178,112,5.7,24.1,72,184,Typical Angina,True,1.5,False,Current,2.9,271,8.7,23.2,True,10505,71.3,1
+7485,54,Female,122,81,264,56,163,253,151,6.6,31.2,82,178,Atypical Angina,False,2.3,False,Former,11.1,164,8.5,62.1,True,9304,54.0,0
+7486,51,Female,129,66,243,66,145,120,133,5.9,24.7,88,192,Non-Anginal Pain,False,2.1,False,Never,3.0,152,9.2,20.4,False,1981,59.4,0
+7487,70,Female,136,90,201,55,111,184,142,6.7,25.7,67,118,Atypical Angina,True,1.0,True,Never,2.6,138,6.1,41.3,False,7157,58.4,1
+7488,62,Female,129,83,190,56,120,105,129,5.5,21.4,91,152,Typical Angina,False,0.5,False,Former,4.2,116,8.6,67.0,False,4258,61.1,0
+7489,46,Female,92,66,199,71,103,181,128,6.3,27.5,73,146,Asymptomatic,True,4.6,False,Former,1.2,154,8.2,33.8,False,3203,42.3,1
+7490,50,Male,138,90,205,59,136,65,126,6.0,27.0,81,166,Asymptomatic,False,0.2,True,Never,5.1,114,5.8,32.6,False,7062,64.6,0
+7491,37,Female,115,74,214,60,130,139,102,5.5,24.8,92,188,Non-Anginal Pain,False,0.1,False,Current,2.1,144,8.2,32.9,False,6242,57.2,0
+7492,61,Male,125,76,237,62,133,210,112,6.0,21.3,89,133,Atypical Angina,True,1.4,True,Never,5.7,93,8.2,71.5,True,5831,52.2,1
+7493,22,Female,127,81,148,45,80,124,130,6.2,29.6,92,184,Asymptomatic,False,0.1,False,Never,8.4,197,8.5,43.7,True,3560,83.8,0
+7494,65,Female,141,93,233,54,134,210,123,6.2,30.3,82,138,Non-Anginal Pain,False,3.0,True,Former,5.5,189,5.9,33.1,False,4470,71.2,1
+7495,39,Male,110,78,160,56,75,134,109,5.8,19.3,92,175,Atypical Angina,False,0.1,False,Current,3.9,80,8.2,75.0,False,9140,62.4,0
+7496,41,Male,112,71,148,57,54,147,123,5.4,23.9,81,171,Asymptomatic,False,0.7,False,Current,6.0,261,7.4,52.0,True,5342,29.2,0
+7497,55,Female,125,83,259,48,150,302,119,5.4,29.3,78,138,Non-Anginal Pain,True,0.9,False,Current,19.7,194,6.9,16.5,True,5118,69.2,1
+7498,48,Male,124,78,145,55,87,35,100,5.7,21.0,88,162,Non-Anginal Pain,False,0.4,True,Never,2.1,112,4.5,54.9,True,6512,71.1,0
+7499,39,Male,126,72,253,70,133,170,120,6.1,26.5,87,205,Non-Anginal Pain,False,0.8,False,Former,2.6,165,8.9,58.2,True,7575,40.6,0
+7500,49,Female,131,78,166,53,80,115,118,6.4,30.6,80,142,Asymptomatic,True,1.0,True,Never,11.1,81,7.0,49.7,True,6695,57.5,1
+7501,71,Male,136,97,121,50,76,43,123,6.0,31.7,75,147,Non-Anginal Pain,False,3.5,False,Never,5.7,161,8.6,52.7,True,7764,51.2,0
+7502,46,Female,138,87,164,59,81,210,119,5.6,26.7,78,183,Atypical Angina,False,0.5,False,Former,6.5,115,8.5,43.2,False,1099,53.6,0
+7503,30,Female,102,67,185,54,101,156,115,5.4,29.2,76,197,Asymptomatic,False,0.2,False,Never,0.2,124,8.1,43.7,False,4085,71.6,0
+7504,71,Female,145,104,213,76,97,143,110,5.4,22.1,79,133,Non-Anginal Pain,False,0.2,False,Never,6.2,187,6.6,33.9,False,5781,62.8,0
+7505,37,Male,103,70,194,59,94,223,161,6.9,29.6,86,202,Non-Anginal Pain,False,0.4,False,Former,8.7,189,6.6,31.9,False,6152,70.1,0
+7506,45,Male,120,88,205,78,87,159,130,6.1,23.7,65,184,Atypical Angina,False,0.5,False,Never,4.0,179,9.6,50.4,True,4867,81.5,0
+7507,64,Female,123,65,183,35,125,141,121,5.7,28.7,84,130,Non-Anginal Pain,True,2.8,False,Current,5.4,136,5.6,47.8,False,5885,15.0,1
+7508,54,Male,134,81,225,55,113,241,121,5.9,26.2,93,164,Asymptomatic,False,0.9,True,Never,7.2,99,7.1,57.5,True,8355,56.4,0
+7509,57,Male,134,89,181,21,128,191,126,6.3,32.3,75,165,Non-Anginal Pain,False,0.5,False,Never,4.9,135,8.5,63.2,False,5467,51.7,0
+7510,54,Male,115,83,185,50,92,159,147,6.5,30.3,88,180,Typical Angina,False,0.3,False,Never,10.9,136,6.5,38.9,False,5330,50.0,0
+7511,45,Male,133,90,164,50,81,84,110,5.5,23.5,71,179,Typical Angina,True,0.1,False,Former,3.0,179,7.2,55.7,False,5659,69.2,1
+7512,61,Female,115,70,183,53,105,115,97,5.6,25.1,78,140,Asymptomatic,False,0.8,True,Current,4.9,92,9.5,58.3,False,5781,66.2,1
+7513,52,Male,108,73,144,43,64,177,124,6.4,28.8,81,139,Asymptomatic,False,4.0,True,Former,11.0,115,6.7,52.5,False,7185,62.1,1
+7514,31,Female,124,79,221,58,146,117,117,6.2,30.4,92,185,Non-Anginal Pain,False,0.8,False,Never,0.4,168,6.9,38.1,False,5435,80.6,0
+7515,58,Male,144,85,173,39,108,174,127,5.6,33.1,90,158,Atypical Angina,False,0.9,False,Never,1.7,166,9.4,79.3,False,4513,53.4,0
+7516,48,Female,106,63,211,52,139,108,118,5.7,17.7,81,155,Typical Angina,False,1.2,False,Former,9.0,105,5.9,23.8,True,6469,26.7,1
+7517,61,Female,137,83,218,58,126,85,119,5.4,21.3,75,165,Asymptomatic,False,0.5,False,Never,2.7,229,6.5,54.8,False,5094,57.4,0
+7518,54,Female,117,87,167,67,60,189,140,6.1,32.8,84,195,Asymptomatic,False,1.3,False,Former,11.5,195,5.2,62.3,True,7045,65.1,0
+7519,37,Female,125,74,194,68,119,89,109,5.6,26.6,85,210,Typical Angina,False,1.2,True,Never,2.0,79,7.2,23.3,True,5890,67.8,0
+7520,35,Male,137,89,216,68,136,81,86,4.6,28.6,74,201,Asymptomatic,False,1.2,False,Never,4.3,222,7.9,26.1,True,8086,44.6,0
+7521,61,Male,131,77,178,36,107,201,134,6.0,20.7,69,135,Typical Angina,False,0.5,False,Current,3.2,93,7.5,56.1,False,5224,42.7,1
+7522,43,Male,134,90,180,42,99,217,141,6.5,29.5,81,151,Asymptomatic,False,1.5,False,Never,9.9,85,8.7,58.6,True,9004,57.5,1
+7523,39,Male,118,80,143,62,50,132,110,4.9,20.7,80,171,Asymptomatic,False,0.3,False,Former,18.0,251,8.1,10.2,True,7209,66.1,0
+7524,50,Female,111,65,184,54,106,139,116,5.3,25.5,88,166,Non-Anginal Pain,False,0.6,False,Former,1.9,143,7.9,70.0,True,5095,46.1,0
+7525,59,Female,108,76,224,74,122,145,104,5.0,19.8,71,164,Atypical Angina,True,0.6,False,Never,8.9,252,5.4,27.2,True,7817,73.4,0
+7526,60,Female,131,77,147,41,89,131,149,6.5,25.0,74,163,Typical Angina,False,0.4,True,Former,15.8,161,6.9,38.3,True,6506,61.7,0
+7527,46,Female,116,81,167,56,94,127,107,4.7,25.1,65,152,Asymptomatic,True,1.7,False,Former,12.3,219,8.4,43.3,False,5105,74.4,1
+7528,50,Female,120,84,205,75,102,122,80,4.6,23.0,83,187,Atypical Angina,False,0.5,False,Never,7.0,222,7.3,61.1,True,8419,51.3,0
+7529,78,Male,135,77,151,56,99,67,142,6.3,20.6,81,130,Atypical Angina,True,0.5,True,Never,4.1,8,6.9,18.1,False,2057,68.8,1
+7530,35,Female,102,63,191,70,97,123,126,6.3,23.2,78,194,Non-Anginal Pain,False,2.7,False,Never,15.4,203,5.3,23.5,True,9816,66.1,0
+7531,40,Male,129,84,232,39,149,191,131,6.2,26.4,85,189,Asymptomatic,True,1.3,True,Former,9.6,110,5.2,45.0,True,8443,45.6,1
+7532,53,Female,127,78,181,61,94,143,119,6.1,30.0,83,181,Atypical Angina,False,0.6,False,Former,6.4,158,7.4,35.7,False,4849,49.6,0
+7533,62,Female,127,75,181,56,82,147,127,5.8,31.3,76,144,Asymptomatic,True,0.6,False,Never,0.2,216,6.5,53.6,False,6607,42.3,1
+7534,47,Female,117,89,176,43,99,179,121,5.9,24.9,85,182,Non-Anginal Pain,False,1.0,False,Current,1.6,201,7.2,51.6,False,5412,50.8,0
+7535,51,Female,153,90,186,61,96,176,112,5.7,23.9,80,153,Asymptomatic,True,0.7,True,Never,4.5,157,7.1,63.0,True,4293,65.7,1
+7536,70,Female,130,87,207,63,133,35,97,4.9,21.3,89,142,Asymptomatic,False,0.8,True,Current,6.0,77,8.7,47.0,True,6272,74.1,0
+7537,58,Female,137,95,258,65,138,238,136,6.1,25.8,80,162,Typical Angina,True,1.6,False,Current,16.4,244,6.8,42.0,True,10941,45.0,1
+7538,65,Female,151,101,186,34,120,170,108,5.6,31.6,75,144,Atypical Angina,True,1.1,False,Former,5.4,145,5.5,50.4,False,3892,57.9,1
+7539,29,Female,115,79,167,61,89,126,110,5.2,22.7,79,192,Non-Anginal Pain,False,1.2,True,Never,2.5,136,6.1,37.1,True,9143,66.4,0
+7540,39,Male,131,80,150,51,54,139,77,5.0,29.9,81,187,Asymptomatic,False,1.4,False,Never,13.4,114,7.1,47.7,False,8998,50.6,0
+7541,62,Female,136,84,190,30,117,116,153,7.0,35.8,89,148,Asymptomatic,True,1.6,False,Never,2.2,83,7.1,70.1,False,5805,49.6,1
+7542,79,Female,140,98,285,86,150,149,92,5.6,24.7,92,142,Asymptomatic,False,0.1,False,Never,0.1,211,6.2,66.3,True,4986,61.0,0
+7543,67,Female,140,108,241,50,156,140,112,5.8,28.1,74,147,Asymptomatic,False,1.1,False,Never,0.5,68,6.8,45.4,False,7462,78.6,0
+7544,78,Female,129,77,132,65,40,115,87,5.0,20.6,88,156,Typical Angina,False,1.0,False,Never,13.1,126,6.9,54.0,True,4929,82.4,0
+7545,51,Female,126,72,168,80,77,132,113,5.6,23.3,75,152,Asymptomatic,False,0.7,False,Never,5.2,178,4.2,54.1,True,8873,66.5,0
+7546,67,Female,121,68,151,57,76,155,128,6.0,20.9,74,156,Asymptomatic,False,1.1,False,Former,2.4,211,7.3,33.1,False,5828,62.7,0
+7547,42,Male,140,84,203,62,113,196,110,5.5,26.8,72,173,Non-Anginal Pain,True,1.3,False,Never,3.0,252,7.6,46.7,True,7271,65.2,0
+7548,45,Female,131,78,186,50,102,175,100,5.2,28.3,86,185,Non-Anginal Pain,False,0.6,False,Former,14.2,108,7.2,58.2,False,8093,59.4,0
+7549,55,Male,155,105,172,44,117,89,118,5.3,26.9,76,140,Asymptomatic,True,0.6,False,Current,11.9,165,5.7,45.1,False,4964,77.3,1
+7550,70,Male,122,85,232,55,126,248,86,4.5,26.7,66,145,Asymptomatic,False,1.7,True,Never,13.0,122,5.8,31.2,True,6355,65.0,0
+7551,48,Female,117,82,190,61,100,164,87,4.9,26.3,84,176,Non-Anginal Pain,False,0.7,True,Never,9.4,101,6.0,42.0,True,7406,76.1,0
+7552,54,Female,122,76,176,57,104,124,90,5.4,27.5,76,171,Non-Anginal Pain,True,3.0,True,Current,1.3,242,6.7,33.8,False,5276,49.9,1
+7553,68,Male,133,82,215,49,108,242,74,4.8,32.4,80,186,Asymptomatic,False,0.7,True,Never,2.0,225,6.7,56.3,True,7129,56.1,0
+7554,36,Male,130,85,176,52,108,135,145,6.7,30.8,83,180,Non-Anginal Pain,False,0.7,False,Never,2.9,144,4.8,68.1,False,5105,75.9,0
+7555,70,Female,124,84,237,54,132,200,87,5.0,33.8,72,156,Atypical Angina,False,0.3,False,Never,0.6,162,8.6,35.9,True,5227,56.9,0
+7556,68,Male,127,72,196,63,108,165,116,6.2,22.6,83,152,Asymptomatic,False,2.0,True,Never,6.1,170,6.8,32.3,False,5131,34.2,0
+7557,56,Male,128,72,222,52,140,167,120,5.6,25.6,77,130,Typical Angina,True,5.2,False,Never,3.4,94,5.6,28.6,False,7609,44.0,1
+7558,80,Male,150,99,202,49,141,142,99,5.5,23.4,81,121,Atypical Angina,True,0.3,False,Current,10.2,61,7.1,71.9,False,4565,37.0,1
+7559,41,Female,116,70,176,68,93,165,134,5.5,25.7,61,188,Asymptomatic,True,1.8,False,Former,5.1,206,5.2,27.5,False,6297,43.8,0
+7560,55,Female,143,80,177,54,105,132,110,5.7,16.5,94,163,Non-Anginal Pain,False,1.5,False,Former,13.1,22,5.5,45.4,False,3735,68.2,0
+7561,66,Male,133,92,162,54,75,118,109,5.4,22.4,80,150,Asymptomatic,False,0.8,True,Former,13.3,107,7.5,89.7,False,5769,59.5,1
+7562,58,Male,129,91,174,57,83,220,131,6.4,25.8,87,137,Asymptomatic,True,2.4,False,Former,8.1,189,8.1,52.5,False,4166,58.6,1
+7563,39,Female,139,99,125,39,64,151,125,6.0,24.8,104,175,Asymptomatic,False,0.6,True,Never,10.0,36,7.5,70.5,True,7175,50.9,0
+7564,47,Male,123,82,181,39,122,174,124,5.6,24.9,77,163,Non-Anginal Pain,True,1.2,False,Current,2.0,218,7.8,63.7,True,10241,29.1,1
+7565,35,Male,132,83,122,52,50,163,91,4.8,30.2,79,199,Typical Angina,False,0.7,False,Never,3.7,124,7.3,42.7,False,8746,39.8,0
+7566,67,Female,146,89,179,40,99,202,170,7.7,33.4,82,158,Asymptomatic,True,1.5,False,Former,6.0,71,8.2,49.7,False,4013,58.3,1
+7567,69,Male,142,84,170,67,94,101,98,4.6,17.4,93,148,Asymptomatic,False,0.8,False,Former,5.8,135,5.8,33.2,True,7311,73.7,0
+7568,40,Male,110,66,156,77,79,69,161,6.3,22.4,89,177,Asymptomatic,True,0.4,False,Never,10.8,203,7.0,66.5,True,10186,47.9,0
+7569,62,Male,140,99,150,53,56,227,162,6.6,24.0,89,165,Non-Anginal Pain,False,0.4,False,Current,9.2,51,6.4,36.6,True,6360,39.6,0
+7570,28,Male,98,62,178,45,102,168,183,6.4,27.4,80,191,Typical Angina,False,0.2,False,Current,7.7,202,8.5,42.4,True,9550,52.6,0
+7571,36,Male,110,62,149,65,60,169,128,6.1,29.1,86,199,Typical Angina,False,1.6,False,Current,19.4,88,7.1,45.5,True,10527,77.1,0
+7572,52,Male,113,71,264,46,165,191,132,6.4,27.2,78,143,Asymptomatic,False,0.3,True,Current,2.3,122,7.5,37.7,True,7989,41.2,1
+7573,48,Male,129,78,221,69,105,243,159,6.9,28.1,91,165,Typical Angina,True,4.2,False,Never,10.1,81,6.8,59.4,False,6449,59.5,1
+7574,45,Male,113,63,200,65,97,151,115,5.5,15.0,81,204,Asymptomatic,False,0.5,False,Current,6.2,215,3.8,51.9,True,7843,84.1,0
+7575,54,Female,117,71,219,66,127,160,145,6.5,28.0,74,154,Atypical Angina,True,0.3,True,Current,1.4,234,9.1,30.4,True,7519,33.7,1
+7576,36,Male,111,66,195,49,115,119,118,5.3,16.5,77,184,Non-Anginal Pain,False,2.1,False,Current,23.7,151,7.5,62.0,False,4753,55.2,0
+7577,39,Female,125,72,193,59,101,145,102,5.4,24.5,83,181,Asymptomatic,False,0.2,False,Current,14.6,95,8.4,68.3,True,6930,66.6,0
+7578,63,Female,127,88,208,57,112,138,115,5.8,23.8,80,175,Asymptomatic,False,1.1,True,Former,5.2,252,7.3,49.3,True,11061,82.1,0
+7579,34,Female,120,62,110,39,70,99,120,5.3,21.8,88,200,Asymptomatic,False,0.3,False,Current,2.5,202,5.8,28.5,True,7936,43.8,0
+7580,84,Female,136,86,158,32,100,146,92,4.6,28.0,81,158,Non-Anginal Pain,False,0.9,True,Former,3.1,168,7.5,40.7,False,3722,44.7,0
+7581,43,Male,126,71,220,72,131,117,127,5.9,21.6,87,174,Typical Angina,False,0.2,False,Former,1.5,108,8.3,54.4,True,10399,41.4,0
+7582,48,Male,123,89,127,40,67,118,124,5.8,27.5,85,150,Atypical Angina,False,0.0,False,Never,13.6,120,7.8,47.8,False,6114,71.2,0
+7583,52,Male,132,84,215,69,119,151,147,6.5,23.4,100,169,Non-Anginal Pain,True,0.6,False,Former,11.5,38,8.3,35.8,True,7627,79.5,0
+7584,62,Female,126,74,129,62,58,71,74,4.5,16.4,66,162,Asymptomatic,False,0.1,False,Never,0.5,218,8.6,35.1,True,8638,62.2,0
+7585,42,Female,133,80,213,46,123,275,159,7.0,26.4,73,197,Typical Angina,True,0.1,False,Never,7.7,91,6.9,35.5,False,6423,67.7,0
+7586,31,Male,113,76,217,59,121,157,105,5.3,25.7,80,187,Non-Anginal Pain,False,1.0,False,Former,18.0,269,6.9,46.4,True,8380,74.0,0
+7587,46,Male,119,80,187,41,115,114,107,6.1,32.0,83,169,Asymptomatic,True,1.0,False,Never,2.1,96,7.6,53.4,False,5750,79.8,1
+7588,66,Female,158,103,183,57,112,130,109,5.9,34.0,85,167,Asymptomatic,False,0.6,False,Never,6.2,17,7.6,48.3,False,4571,60.1,0
+7589,50,Male,131,89,227,61,131,145,131,6.0,27.0,88,167,Atypical Angina,True,1.4,False,Never,4.3,209,5.9,62.5,True,11112,69.1,1
+7590,54,Female,105,59,199,61,98,191,135,6.1,21.0,75,142,Atypical Angina,True,1.6,False,Former,12.3,180,5.8,59.9,False,4985,56.3,1
+7591,57,Female,124,88,187,63,82,207,137,6.3,23.1,70,174,Atypical Angina,False,0.4,False,Never,10.3,3,6.6,43.4,False,2346,46.9,0
+7592,55,Male,108,67,177,36,101,189,132,6.2,28.3,84,177,Non-Anginal Pain,False,0.3,False,Never,3.2,60,9.0,29.4,False,4018,50.2,0
+7593,48,Female,120,78,187,55,107,105,128,6.2,26.6,84,161,Typical Angina,False,1.8,True,Current,3.3,161,7.3,41.4,True,4932,73.1,1
+7594,70,Male,163,99,239,66,132,228,138,5.7,33.9,92,123,Non-Anginal Pain,True,0.7,False,Never,4.7,104,7.6,68.8,False,3363,44.1,1
+7595,43,Male,149,78,187,32,136,115,140,6.7,32.1,94,166,Asymptomatic,False,1.4,True,Never,4.7,169,5.2,47.8,True,9909,60.6,1
+7596,59,Female,123,86,204,50,139,93,89,4.8,25.0,88,156,Asymptomatic,False,0.6,False,Never,1.2,157,8.6,43.0,True,7619,40.2,0
+7597,44,Male,115,73,139,58,44,167,97,5.1,24.5,92,198,Non-Anginal Pain,False,0.6,True,Never,4.6,102,5.7,51.0,False,4634,57.0,0
+7598,53,Male,127,81,197,59,102,151,117,5.4,22.9,88,143,Asymptomatic,False,0.7,True,Former,10.4,140,6.3,74.9,False,6634,66.2,0
+7599,76,Female,152,97,224,50,143,196,166,7.0,30.8,85,149,Typical Angina,True,0.1,True,Never,1.0,68,7.2,45.4,False,500,55.2,1
+7600,66,Male,148,88,190,44,123,174,110,5.8,28.4,84,133,Asymptomatic,True,0.3,True,Never,3.5,138,6.3,52.7,False,5400,42.3,1
+7601,58,Male,131,93,213,48,136,133,85,5.2,26.9,73,156,Asymptomatic,True,1.2,False,Never,8.8,99,5.9,61.5,False,3504,70.1,0
+7602,51,Male,115,73,171,54,96,154,84,5.4,15.9,76,184,Asymptomatic,False,0.6,False,Current,6.8,282,9.2,70.6,True,11282,67.8,0
+7603,76,Female,151,104,219,83,103,187,122,5.9,24.9,87,141,Non-Anginal Pain,False,4.7,True,Never,13.5,132,6.4,40.8,False,6390,69.4,1
+7604,64,Female,144,86,166,48,77,213,154,6.7,29.1,92,118,Asymptomatic,False,0.7,False,Never,6.9,69,6.7,64.4,False,4755,72.2,1
+7605,55,Male,135,81,181,67,91,119,107,4.9,18.3,59,173,Atypical Angina,False,0.9,True,Current,1.7,223,7.9,65.4,False,3655,69.4,0
+7606,42,Female,134,92,178,48,93,204,133,5.8,20.1,79,189,Atypical Angina,False,1.3,False,Never,6.8,123,7.9,40.6,False,7648,62.5,0
+7607,40,Female,124,85,222,59,137,138,139,6.3,25.0,87,164,Typical Angina,True,0.8,False,Former,2.1,13,6.7,49.3,False,2140,35.5,1
+7608,59,Male,114,78,129,62,52,35,83,4.5,23.0,76,164,Asymptomatic,False,0.5,False,Former,5.7,127,6.4,26.9,False,4633,75.0,0
+7609,51,Female,106,68,206,58,114,171,116,5.5,18.7,76,175,Atypical Angina,False,1.4,False,Former,1.2,170,5.3,61.0,False,4606,42.1,0
+7610,60,Male,125,78,219,79,91,169,147,6.3,22.9,70,163,Asymptomatic,False,0.9,False,Never,8.6,213,6.7,34.1,True,5385,73.0,0
+7611,45,Male,124,70,205,60,117,159,110,5.9,25.4,81,166,Asymptomatic,False,0.9,True,Former,9.9,177,6.0,13.8,True,7559,44.2,1
+7612,47,Male,110,61,200,50,107,176,156,6.4,28.8,91,146,Typical Angina,True,1.6,False,Never,6.3,146,7.3,45.1,True,6277,37.2,1
+7613,57,Female,133,84,146,58,69,85,99,5.3,25.3,73,153,Asymptomatic,False,1.7,False,Former,2.2,186,5.5,43.4,True,4694,46.5,0
+7614,64,Male,136,89,158,49,71,142,120,6.1,33.5,62,168,Atypical Angina,False,0.9,False,Never,1.8,173,8.1,23.8,True,4904,68.3,0
+7615,46,Female,122,74,279,51,187,214,100,5.6,27.1,81,164,Atypical Angina,True,1.5,False,Never,0.8,143,10.5,31.9,False,4864,82.0,1
+7616,54,Female,129,74,222,38,111,301,167,7.3,35.3,83,157,Asymptomatic,False,1.2,False,Never,6.6,34,5.9,59.1,False,4649,56.6,1
+7617,56,Female,115,78,173,72,71,113,99,5.2,25.5,75,167,Non-Anginal Pain,False,1.0,False,Former,0.7,160,8.0,32.3,False,6306,67.8,0
+7618,47,Male,125,83,170,58,91,157,82,5.2,24.7,100,156,Non-Anginal Pain,False,0.4,False,Former,5.2,24,7.4,40.8,False,6306,66.8,0
+7619,56,Male,127,84,197,52,111,168,112,5.5,24.3,77,160,Asymptomatic,True,0.4,False,Current,4.7,255,5.9,42.0,True,6224,56.3,1
+7620,80,Female,138,77,182,56,84,190,119,6.2,27.6,74,163,Asymptomatic,False,1.2,False,Former,7.5,76,5.7,27.3,False,6631,56.6,0
+7621,84,Female,125,85,213,63,122,94,110,5.6,16.8,74,150,Asymptomatic,False,0.8,False,Former,7.8,180,7.0,61.4,True,5151,66.0,0
+7622,28,Male,143,98,143,50,52,166,125,5.9,22.9,78,170,Typical Angina,False,4.0,False,Current,20.0,36,5.7,81.4,False,7084,61.0,1
+7623,56,Female,137,87,222,56,128,224,135,6.9,31.7,73,173,Atypical Angina,False,0.1,False,Never,2.6,188,8.1,45.9,True,6906,65.0,0
+7624,52,Female,100,71,149,34,100,102,130,5.7,22.5,92,200,Typical Angina,False,0.4,False,Current,2.0,131,8.7,35.6,False,4936,72.9,0
+7625,71,Male,103,54,187,35,120,142,144,6.1,27.0,82,171,Non-Anginal Pain,False,0.8,True,Never,10.4,142,6.5,45.1,True,8119,47.9,0
+7626,55,Female,117,73,175,43,109,122,114,5.9,24.5,91,155,Atypical Angina,True,1.8,False,Never,4.9,104,7.3,25.0,False,5697,67.4,1
+7627,46,Female,131,84,201,53,129,143,133,6.2,30.7,85,186,Atypical Angina,False,0.9,False,Never,2.6,142,6.5,72.1,True,5368,47.4,0
+7628,71,Female,138,85,218,56,111,239,112,5.0,19.3,57,166,Asymptomatic,False,0.7,True,Current,11.4,282,5.7,29.0,True,7636,49.8,0
+7629,63,Male,149,88,226,44,160,74,129,6.2,31.9,78,157,Non-Anginal Pain,False,0.6,False,Never,3.4,46,7.6,42.6,False,3082,61.8,0
+7630,34,Male,112,68,243,60,152,202,101,5.2,27.1,73,195,Non-Anginal Pain,True,0.6,False,Never,2.7,252,6.0,14.2,False,7805,55.7,0
+7631,40,Male,118,74,228,68,117,197,100,5.1,19.5,80,179,Asymptomatic,False,1.0,False,Former,2.3,89,7.2,32.5,False,10097,40.1,0
+7632,65,Male,144,94,200,21,128,226,154,7.0,35.0,88,142,Asymptomatic,True,0.0,True,Never,7.9,0,7.9,47.6,False,814,47.6,1
+7633,54,Female,94,68,204,62,94,174,122,5.4,17.7,68,187,Non-Anginal Pain,False,0.0,False,Never,0.8,285,5.5,31.4,False,7297,84.3,0
+7634,40,Female,108,69,176,64,108,135,134,5.8,22.3,71,201,Non-Anginal Pain,False,0.8,True,Former,0.0,189,5.6,17.4,True,7515,40.8,0
+7635,57,Female,113,52,180,70,84,66,104,5.6,20.6,85,184,Typical Angina,False,0.2,True,Former,1.7,195,5.6,52.5,True,9441,100.0,0
+7636,76,Female,143,89,190,62,100,122,148,6.5,25.2,51,134,Atypical Angina,True,4.7,False,Never,9.8,93,6.9,50.9,False,999,64.7,1
+7637,55,Male,120,82,224,66,131,137,106,5.6,22.7,73,160,Typical Angina,False,0.5,True,Never,6.2,79,7.8,17.2,True,5991,59.8,0
+7638,54,Male,111,71,128,21,99,93,125,5.8,22.3,78,139,Atypical Angina,False,2.0,False,Never,9.7,160,8.2,15.5,False,7647,55.4,1
+7639,77,Female,124,57,198,34,125,146,126,6.3,24.4,73,138,Non-Anginal Pain,True,3.0,False,Never,5.6,121,6.9,65.2,True,7352,51.3,1
+7640,54,Male,95,56,196,59,109,74,91,4.5,20.3,59,196,Asymptomatic,False,1.4,False,Never,10.2,285,9.4,15.1,True,8469,69.7,0
+7641,74,Female,136,76,211,48,146,38,85,4.2,21.6,66,157,Non-Anginal Pain,False,2.5,False,Current,0.4,207,6.5,21.0,True,8236,64.7,0
+7642,55,Female,126,80,176,74,66,124,150,6.9,23.2,76,151,Atypical Angina,False,0.1,False,Never,0.8,150,7.1,50.7,True,8850,63.6,0
+7643,53,Female,147,94,194,65,92,162,114,5.6,30.5,61,184,Asymptomatic,False,0.2,True,Former,0.5,183,7.9,50.8,True,9002,51.4,0
+7644,44,Female,145,87,170,53,92,125,137,5.8,20.8,72,193,Non-Anginal Pain,False,0.4,True,Never,3.2,101,6.8,58.5,False,4793,52.9,0
+7645,35,Female,120,93,132,27,82,130,84,5.1,27.3,83,191,Non-Anginal Pain,False,0.0,False,Never,12.4,157,7.4,30.0,True,8787,51.9,0
+7646,55,Female,137,82,170,55,104,137,144,6.4,27.4,85,148,Asymptomatic,True,4.1,False,Never,0.3,109,4.7,38.1,False,3753,64.0,1
+7647,58,Female,118,80,198,71,94,164,135,6.0,21.9,91,158,Non-Anginal Pain,False,3.1,False,Former,3.1,117,8.1,48.4,False,4435,38.2,0
+7648,41,Female,105,76,169,59,80,185,112,5.3,25.2,84,191,Asymptomatic,True,1.9,False,Former,0.1,220,7.5,65.9,True,7683,53.1,0
+7649,47,Female,139,90,198,39,129,133,113,5.6,28.1,70,169,Non-Anginal Pain,False,0.1,False,Former,1.9,182,4.5,46.2,False,2017,67.6,0
+7650,51,Male,137,84,208,76,104,220,100,5.0,27.9,71,162,Asymptomatic,False,0.2,False,Never,4.5,212,5.9,63.2,True,8713,65.2,0
+7651,32,Male,112,62,134,61,44,176,64,4.2,15.9,88,190,Typical Angina,False,1.1,True,Former,3.7,192,7.2,43.7,False,7557,65.7,0
+7652,47,Male,136,75,201,55,128,106,121,5.4,26.0,78,167,Atypical Angina,False,0.8,True,Never,4.4,81,7.2,42.7,False,1200,65.6,1
+7653,29,Female,111,73,140,73,35,126,108,5.4,33.9,98,184,Non-Anginal Pain,False,0.4,False,Never,0.2,92,5.8,47.2,False,3615,67.1,0
+7654,48,Female,101,74,199,58,127,117,114,6.0,24.4,64,179,Asymptomatic,False,0.5,False,Former,3.1,139,8.0,52.6,False,7414,45.9,0
+7655,54,Male,123,72,191,48,114,147,87,4.7,28.1,86,172,Non-Anginal Pain,False,3.4,False,Never,9.0,268,6.0,56.9,True,12636,82.1,0
+7656,69,Male,136,74,225,55,148,179,143,5.8,23.9,81,146,Asymptomatic,False,0.8,True,Never,3.5,19,7.8,60.3,False,5260,60.3,0
+7657,30,Female,132,87,232,44,148,226,118,5.5,28.6,73,201,Asymptomatic,False,0.7,False,Current,6.7,150,8.4,81.2,False,3994,44.8,0
+7658,41,Female,122,83,169,38,89,250,112,6.4,34.1,91,170,Atypical Angina,False,3.2,True,Former,4.6,168,6.7,60.2,True,4905,45.2,1
+7659,63,Female,135,85,215,83,96,189,110,5.4,26.4,70,171,Asymptomatic,False,0.1,False,Never,0.5,188,8.7,38.2,True,2044,39.7,0
+7660,61,Female,129,73,210,56,122,145,106,5.7,20.8,89,169,Asymptomatic,False,1.1,False,Former,0.6,113,7.0,42.9,False,5027,55.3,0
+7661,50,Female,148,88,130,41,81,99,119,5.7,22.8,79,158,Asymptomatic,False,0.7,False,Former,2.2,116,7.3,55.2,True,5425,49.1,0
+7662,78,Female,150,105,218,69,130,176,99,5.1,22.8,81,134,Asymptomatic,False,1.1,True,Never,1.1,178,7.9,46.8,True,4620,69.6,0
+7663,47,Female,137,97,222,59,139,136,111,5.9,27.5,73,179,Asymptomatic,False,0.9,False,Former,18.8,50,6.4,72.7,False,849,38.5,0
+7664,65,Male,117,70,133,27,83,112,91,4.8,18.1,73,163,Typical Angina,True,0.4,True,Never,1.6,148,7.5,74.5,False,2750,66.7,0
+7665,66,Male,144,91,228,68,131,119,173,7.0,27.2,84,145,Asymptomatic,False,0.7,False,Never,2.2,141,5.8,60.4,False,2832,49.1,1
+7666,32,Male,108,66,168,61,92,138,111,5.3,25.2,70,206,Non-Anginal Pain,False,0.0,False,Former,6.4,185,8.8,62.0,False,6611,51.5,0
+7667,60,Female,119,76,191,51,111,189,103,5.6,26.7,75,153,Atypical Angina,True,1.0,False,Current,3.2,127,6.8,35.3,True,8530,59.2,0
+7668,59,Female,131,76,170,51,92,151,121,5.2,25.8,76,136,Non-Anginal Pain,False,1.3,False,Never,1.9,142,6.5,51.1,False,1122,28.0,1
+7669,38,Male,131,80,163,45,76,154,91,4.3,29.3,79,175,Asymptomatic,False,1.4,False,Never,5.4,79,6.2,49.9,False,7754,34.0,0
+7670,76,Male,139,83,191,40,105,185,90,4.9,30.7,77,156,Asymptomatic,False,0.2,False,Former,5.3,232,5.7,47.1,True,6260,73.8,0
+7671,51,Female,134,82,210,56,111,184,153,7.5,31.0,84,155,Asymptomatic,False,0.4,True,Never,5.8,196,7.6,29.7,False,7405,61.3,0
+7672,77,Male,135,88,197,57,103,122,102,5.7,17.5,78,145,Non-Anginal Pain,False,1.2,True,Never,2.5,45,5.9,85.9,False,3225,66.0,0
+7673,35,Male,143,95,181,47,101,186,94,4.7,20.3,85,200,Non-Anginal Pain,False,1.6,False,Never,19.7,184,6.4,44.5,False,7188,46.9,0
+7674,45,Male,131,86,194,51,91,234,130,6.5,28.9,83,177,Asymptomatic,False,0.1,False,Former,3.8,151,7.1,48.2,False,3326,56.0,0
+7675,62,Female,113,76,240,57,163,147,92,4.9,25.0,87,157,Atypical Angina,True,2.4,True,Current,6.0,39,7.6,43.2,False,3099,39.9,1
+7676,49,Male,129,84,205,56,127,103,138,5.8,26.1,81,160,Asymptomatic,False,0.5,False,Never,1.5,144,6.6,56.8,False,7946,60.6,0
+7677,70,Male,152,98,255,66,147,163,124,5.9,28.5,78,135,Asymptomatic,False,0.4,False,Current,2.9,92,6.7,0.5,False,4662,76.3,1
+7678,48,Male,119,89,205,64,106,104,105,5.6,24.2,81,198,Asymptomatic,True,1.4,True,Never,7.5,245,5.3,49.6,False,7446,78.9,0
+7679,27,Male,98,60,198,46,112,146,121,6.6,18.8,68,210,Asymptomatic,False,1.4,False,Never,14.7,137,7.2,6.3,False,6757,53.6,0
+7680,69,Male,166,103,230,40,162,130,104,5.3,31.8,95,130,Asymptomatic,False,1.1,False,Never,3.4,99,6.7,82.9,False,5139,37.2,1
+7681,51,Male,129,82,171,55,104,125,135,6.4,23.0,76,203,Asymptomatic,False,0.6,False,Never,13.0,98,8.5,76.2,True,7909,40.0,0
+7682,54,Male,127,83,229,59,146,154,117,5.3,22.5,78,186,Asymptomatic,False,1.2,True,Former,4.4,132,8.3,53.5,False,6855,53.3,0
+7683,50,Female,123,92,201,56,87,267,128,6.1,30.7,65,185,Non-Anginal Pain,False,0.4,False,Never,4.7,207,6.4,30.1,True,5540,81.4,0
+7684,64,Female,124,78,225,51,126,236,117,5.9,20.3,85,145,Typical Angina,True,1.0,False,Current,11.6,118,7.7,48.7,True,7138,56.9,1
+7685,63,Male,131,83,238,61,151,130,105,4.9,24.1,89,126,Asymptomatic,False,0.4,True,Former,1.6,72,5.5,31.1,False,3923,100.0,1
+7686,18,Female,107,72,178,66,75,155,115,5.6,22.9,71,185,Non-Anginal Pain,False,1.6,False,Never,13.7,110,6.0,54.0,False,3345,58.6,0
+7687,59,Male,144,93,193,50,125,151,149,6.4,20.5,97,140,Typical Angina,False,0.4,True,Never,6.8,84,7.9,71.5,True,6749,65.4,1
+7688,31,Female,107,64,144,58,68,109,83,5.3,17.1,84,187,Non-Anginal Pain,False,0.4,False,Current,1.5,191,9.2,60.2,True,6558,100.0,0
+7689,56,Female,125,82,135,34,84,99,86,4.8,27.3,92,170,Non-Anginal Pain,True,2.0,True,Former,3.7,91,7.3,78.5,False,5744,94.7,0
+7690,51,Male,113,67,140,42,73,152,113,5.4,21.7,74,164,Asymptomatic,True,2.3,True,Former,13.2,217,7.0,63.8,True,8951,43.2,0
+7691,62,Female,146,102,210,65,111,143,110,5.5,29.6,89,121,Non-Anginal Pain,True,0.0,False,Former,6.0,107,6.7,26.9,False,6489,46.7,1
+7692,29,Female,123,70,165,45,83,117,130,5.9,25.3,72,196,Non-Anginal Pain,False,0.1,True,Never,5.3,233,4.7,65.5,False,6635,35.1,0
+7693,51,Female,129,77,189,50,99,161,110,6.0,29.1,98,173,Asymptomatic,False,0.6,True,Never,8.4,112,6.5,83.7,False,2926,53.9,0
+7694,79,Male,114,81,227,58,147,92,102,5.1,29.9,71,139,Non-Anginal Pain,False,1.1,False,Never,9.8,201,5.3,5.1,True,6933,62.3,0
+7695,83,Male,151,93,216,64,93,224,112,5.9,29.3,82,137,Non-Anginal Pain,False,3.4,True,Current,21.1,106,8.1,51.3,False,5880,58.7,0
+7696,35,Male,115,69,179,74,78,118,97,4.9,26.1,82,186,Asymptomatic,False,0.2,False,Former,8.8,172,5.3,33.0,True,7491,74.4,0
+7697,46,Male,120,84,164,58,75,114,141,5.9,19.5,84,165,Non-Anginal Pain,False,0.9,True,Former,4.0,179,5.7,70.9,False,11481,61.4,0
+7698,36,Male,85,57,207,70,90,177,93,4.8,23.9,87,185,Atypical Angina,False,0.4,False,Former,6.3,147,7.4,62.0,False,4290,52.5,0
+7699,50,Female,127,81,196,49,122,151,88,5.1,28.1,76,170,Asymptomatic,False,0.6,False,Never,0.9,103,7.3,61.9,False,5334,65.4,0
+7700,68,Male,133,73,231,48,156,144,122,5.4,18.2,79,153,Non-Anginal Pain,False,0.3,True,Never,1.7,194,7.9,64.1,True,6129,69.9,0
+7701,66,Male,133,82,253,68,139,172,112,5.3,18.8,85,168,Asymptomatic,False,1.3,True,Never,9.9,203,3.3,35.5,False,4577,78.6,0
+7702,43,Female,122,84,169,58,88,152,83,5.0,27.9,82,195,Asymptomatic,False,0.6,False,Former,0.8,271,6.4,52.3,True,10211,65.9,0
+7703,43,Female,140,91,153,67,83,81,116,5.1,22.2,88,189,Typical Angina,False,3.2,False,Never,0.9,115,7.2,28.3,False,5443,90.3,0
+7704,33,Male,97,64,159,57,69,166,77,5.0,22.3,74,191,Typical Angina,False,1.3,False,Former,6.9,294,6.9,56.0,True,11773,80.0,0
+7705,44,Female,121,69,239,61,119,235,124,5.7,27.3,70,186,Asymptomatic,False,0.6,True,Never,10.1,192,7.6,50.2,True,8499,45.1,0
+7706,62,Male,134,99,167,47,94,147,137,6.1,26.7,90,146,Asymptomatic,False,0.4,False,Never,4.9,59,7.5,33.6,True,6922,64.8,0
+7707,56,Male,138,90,197,74,83,228,99,5.2,26.3,76,179,Asymptomatic,False,1.0,False,Never,13.6,199,7.3,25.3,True,6333,32.3,0
+7708,66,Male,125,78,182,74,76,129,99,5.0,22.6,80,154,Asymptomatic,False,0.7,True,Never,6.0,267,8.7,48.6,True,6128,50.2,0
+7709,65,Male,123,73,155,39,82,176,103,5.3,24.2,91,158,Non-Anginal Pain,False,0.1,False,Never,6.6,27,8.6,51.6,True,6768,43.3,0
+7710,67,Female,175,119,237,60,148,121,118,6.2,30.7,78,155,Asymptomatic,False,0.5,False,Never,7.3,169,8.5,43.8,True,7572,48.8,1
+7711,64,Male,126,81,188,76,102,93,105,5.4,17.0,88,166,Typical Angina,False,0.1,False,Never,5.9,98,6.6,40.2,False,4816,80.6,0
+7712,42,Female,109,76,116,47,46,78,135,5.8,20.6,85,179,Asymptomatic,False,0.1,True,Current,4.0,211,7.9,3.3,True,7594,100.0,0
+7713,62,Female,153,101,176,37,86,249,125,5.6,26.5,76,175,Asymptomatic,False,0.9,False,Never,12.1,139,7.9,62.2,False,4572,51.1,0
+7714,39,Male,130,74,207,48,124,162,100,5.3,22.0,90,182,Asymptomatic,False,0.2,False,Never,8.1,81,7.3,54.0,False,7597,57.2,0
+7715,25,Female,104,60,182,50,98,172,108,5.4,26.8,90,200,Asymptomatic,False,1.9,False,Never,1.6,160,9.7,48.5,True,6180,68.3,0
+7716,30,Male,108,81,190,51,105,112,155,6.8,21.0,80,198,Asymptomatic,False,1.1,False,Former,2.1,96,8.1,66.8,False,5819,49.7,0
+7717,51,Male,120,65,133,58,82,35,114,5.2,18.2,79,198,Typical Angina,False,0.2,False,Never,3.2,208,8.0,35.7,False,9275,61.6,0
+7718,64,Male,126,90,157,69,56,176,117,5.8,34.9,79,157,Atypical Angina,False,0.3,False,Never,7.3,22,7.4,50.3,False,5361,62.5,0
+7719,61,Male,136,74,241,58,145,194,115,5.8,27.4,91,151,Typical Angina,True,0.5,False,Never,9.8,150,7.4,48.3,False,6038,62.4,1
+7720,31,Female,128,73,169,60,100,39,126,6.0,22.0,72,195,Asymptomatic,False,1.9,False,Never,0.5,268,7.0,46.0,True,9107,76.6,0
+7721,49,Female,132,82,177,74,68,170,118,6.2,22.2,79,143,Typical Angina,False,1.7,False,Former,1.8,136,7.4,44.2,False,5536,68.8,1
+7722,63,Male,136,81,289,70,164,224,113,5.4,23.6,66,128,Non-Anginal Pain,False,4.4,False,Current,4.9,296,4.8,39.6,True,8800,68.1,1
+7723,57,Male,149,92,182,41,119,81,103,5.2,31.2,81,142,Asymptomatic,True,0.7,False,Never,13.3,145,5.6,43.1,False,8009,70.4,1
+7724,50,Female,128,69,179,58,78,186,99,5.0,24.4,66,195,Non-Anginal Pain,False,0.2,False,Never,11.8,253,6.8,51.7,True,4749,59.8,0
+7725,44,Male,132,83,134,48,60,144,60,4.0,27.7,74,177,Asymptomatic,False,0.5,False,Never,3.1,77,5.1,46.1,False,4441,66.9,0
+7726,42,Male,106,63,149,36,94,141,89,4.0,25.8,96,159,Non-Anginal Pain,False,0.5,False,Current,2.7,169,6.9,64.1,False,8087,60.7,0
+7727,55,Male,133,77,205,54,113,169,106,5.7,28.8,82,172,Non-Anginal Pain,False,0.2,False,Former,15.9,47,8.9,35.1,True,4918,45.3,0
+7728,72,Female,121,76,244,79,129,154,127,6.0,26.2,88,146,Asymptomatic,False,0.8,True,Former,0.9,137,6.0,22.0,False,6988,89.1,0
+7729,78,Female,141,90,176,70,101,35,99,5.5,19.7,65,156,Atypical Angina,False,1.1,False,Former,4.4,139,5.1,14.9,True,7231,64.5,0
+7730,31,Male,102,71,189,29,99,284,122,6.0,35.6,95,185,Asymptomatic,False,1.4,True,Current,20.1,20,7.2,44.2,False,4750,59.0,0
+7731,57,Male,142,95,234,58,127,198,130,6.1,26.2,70,185,Non-Anginal Pain,False,0.6,False,Current,14.9,207,6.9,42.0,True,8812,51.3,0
+7732,79,Female,120,63,205,86,93,121,117,5.8,20.8,79,144,Asymptomatic,False,0.2,False,Never,0.9,157,5.9,74.6,True,6732,76.1,0
+7733,30,Female,117,72,200,66,102,110,117,6.0,28.1,102,173,Asymptomatic,False,1.9,False,Former,4.1,106,6.6,65.0,False,3659,50.0,1
+7734,55,Female,130,92,223,59,126,214,115,6.2,34.7,78,193,Non-Anginal Pain,False,1.3,False,Never,7.6,141,7.3,52.7,True,9431,41.6,0
+7735,75,Male,123,72,210,36,150,138,103,5.7,20.6,93,138,Atypical Angina,False,0.6,True,Current,1.8,80,8.4,85.2,False,5081,51.6,1
+7736,70,Male,147,91,163,58,77,162,161,7.0,23.7,92,140,Non-Anginal Pain,True,3.7,True,Never,2.0,82,9.4,43.1,False,7441,57.9,1
+7737,73,Male,132,96,177,47,98,135,147,6.6,26.1,69,160,Atypical Angina,False,0.1,False,Never,2.4,146,7.3,66.1,True,7043,55.8,0
+7738,56,Male,132,81,166,33,97,132,133,6.0,24.1,89,152,Non-Anginal Pain,True,0.3,False,Current,8.1,199,4.3,75.0,True,6292,40.3,1
+7739,57,Male,132,94,144,24,79,215,100,5.2,26.3,87,146,Typical Angina,False,3.0,True,Former,3.0,110,9.1,61.3,False,5244,68.8,1
+7740,77,Female,136,85,212,52,144,162,130,6.0,30.5,77,127,Asymptomatic,False,0.0,False,Never,2.9,96,8.0,24.4,True,7873,74.4,0
+7741,58,Male,138,96,187,74,84,108,126,6.5,20.4,87,178,Non-Anginal Pain,False,1.6,False,Never,3.8,124,5.9,54.5,False,7960,72.4,0
+7742,68,Male,132,86,221,45,144,161,149,6.7,26.3,82,118,Typical Angina,True,0.2,False,Never,13.1,81,5.5,63.8,False,3657,66.2,1
+7743,71,Female,159,87,216,65,140,40,147,6.4,33.4,84,114,Non-Anginal Pain,True,0.8,False,Former,1.9,127,7.9,53.4,False,3850,60.5,1
+7744,49,Female,124,80,214,76,111,168,131,6.4,27.3,93,179,Non-Anginal Pain,False,0.4,False,Former,9.5,87,7.6,60.5,False,3642,42.9,0
+7745,63,Male,132,89,195,63,115,114,117,4.8,17.3,72,168,Non-Anginal Pain,False,4.7,False,Former,14.8,169,8.6,63.8,False,8405,63.4,0
+7746,71,Female,143,82,202,52,132,147,152,6.6,32.3,81,154,Asymptomatic,True,1.2,True,Never,0.7,112,6.8,39.4,False,5535,65.2,0
+7747,64,Female,119,64,140,71,60,35,144,6.1,20.2,67,151,Atypical Angina,False,0.2,False,Never,7.1,110,8.0,36.1,True,6611,66.2,0
+7748,61,Male,127,75,209,67,129,35,130,5.7,17.9,70,151,Typical Angina,True,0.8,True,Former,1.7,144,7.6,49.8,False,5667,59.7,1
+7749,68,Male,144,76,146,40,82,114,117,5.8,19.9,82,133,Typical Angina,False,1.9,False,Former,3.3,50,8.4,86.9,False,6365,83.0,1
+7750,73,Male,149,93,181,39,87,243,106,5.5,23.3,89,145,Asymptomatic,False,0.3,False,Former,4.1,37,7.8,60.0,True,3918,50.0,1
+7751,65,Female,164,100,207,57,127,158,60,4.1,28.8,82,145,Atypical Angina,False,0.6,True,Former,0.9,233,6.9,46.9,False,5643,64.9,1
+7752,61,Female,114,78,206,76,127,47,89,4.8,15.0,71,169,Asymptomatic,False,0.3,False,Former,0.9,330,7.3,27.2,True,8022,56.2,0
+7753,48,Male,138,84,188,59,95,172,93,5.5,30.2,82,187,Asymptomatic,False,0.5,True,Never,5.1,44,7.9,45.4,True,7502,51.5,0
+7754,57,Male,109,73,160,53,89,76,164,6.9,23.5,80,170,Atypical Angina,False,1.5,False,Never,4.1,179,5.4,29.4,True,4390,33.9,0
+7755,69,Male,130,74,174,50,84,157,137,6.8,28.2,71,135,Asymptomatic,False,1.3,False,Never,5.2,175,7.5,63.5,True,6533,62.2,1
+7756,54,Male,137,80,195,65,63,262,139,6.9,29.3,72,167,Asymptomatic,False,0.3,True,Never,4.8,113,8.1,57.4,False,6472,54.1,0
+7757,56,Male,116,66,207,49,123,138,110,5.8,23.3,68,177,Atypical Angina,False,1.1,False,Never,1.8,152,5.9,50.6,False,4637,74.7,0
+7758,62,Female,139,75,211,50,148,38,109,5.7,22.9,78,162,Atypical Angina,False,0.7,True,Never,2.3,97,7.0,60.4,False,4445,46.7,0
+7759,36,Female,124,79,206,69,108,148,130,5.6,25.6,77,206,Non-Anginal Pain,False,0.5,False,Never,2.7,119,7.1,61.5,False,5285,41.9,0
+7760,44,Male,120,78,151,29,96,77,105,5.2,29.4,82,180,Asymptomatic,False,0.5,False,Former,2.5,100,6.8,36.8,True,6332,52.7,0
+7761,57,Male,133,90,139,32,109,51,91,5.2,17.9,83,171,Atypical Angina,True,0.5,False,Never,3.7,125,7.6,38.8,False,5223,34.8,0
+7762,76,Female,131,73,246,59,156,183,126,6.4,29.0,68,157,Asymptomatic,False,1.1,False,Former,9.5,176,6.4,51.2,False,5154,54.2,0
+7763,54,Female,133,72,233,66,130,132,128,5.6,23.9,71,180,Asymptomatic,False,0.3,False,Former,2.2,221,6.0,37.9,True,7028,61.7,0
+7764,73,Female,162,108,243,61,152,168,157,6.2,21.4,84,156,Asymptomatic,False,2.2,False,Never,2.7,85,6.0,37.7,False,5203,46.1,1
+7765,61,Male,123,71,120,48,49,159,129,6.2,20.2,84,154,Asymptomatic,False,0.6,False,Never,8.3,162,4.6,78.0,True,9743,60.6,0
+7766,56,Female,122,80,179,61,94,128,144,6.3,24.1,85,148,Asymptomatic,True,0.7,False,Never,0.4,133,6.5,48.8,False,3763,52.3,1
+7767,60,Male,151,99,207,41,116,200,143,6.8,30.0,72,130,Typical Angina,False,4.2,True,Never,1.5,17,6.5,57.0,False,6367,32.8,1
+7768,56,Male,130,84,219,48,136,224,91,4.8,22.7,87,158,Asymptomatic,False,0.9,False,Current,10.7,139,9.0,52.3,False,6279,68.8,1
+7769,55,Female,130,78,229,56,125,201,154,7.0,27.3,84,171,Asymptomatic,False,0.3,True,Current,13.1,112,6.7,16.0,True,6425,59.9,1
+7770,53,Male,141,81,251,49,156,270,140,6.6,28.2,70,150,Atypical Angina,True,2.6,True,Current,6.7,128,6.0,35.5,True,5075,76.0,1
+7771,45,Male,120,73,199,59,112,153,109,5.4,22.3,82,179,Asymptomatic,False,0.9,True,Never,1.8,86,7.8,38.5,False,4577,54.7,0
+7772,71,Male,145,102,233,57,143,170,137,6.8,21.8,74,147,Asymptomatic,False,1.5,True,Never,4.1,171,6.7,43.7,True,5477,50.4,0
+7773,52,Male,98,64,225,54,133,194,142,6.6,24.6,84,170,Asymptomatic,False,0.5,True,Never,7.8,30,8.3,67.6,False,1424,79.2,0
+7774,44,Female,129,78,193,48,118,99,91,4.7,19.7,81,168,Asymptomatic,False,0.3,True,Current,0.9,177,7.6,19.0,False,5213,44.1,0
+7775,44,Male,123,75,181,47,81,251,82,4.0,21.0,90,175,Non-Anginal Pain,False,0.4,False,Never,2.3,133,7.8,61.4,False,4613,92.8,0
+7776,59,Female,114,81,176,49,96,183,139,6.5,25.8,74,147,Asymptomatic,False,0.4,False,Former,3.7,59,6.3,51.3,False,3712,78.1,0
+7777,59,Female,162,108,170,45,102,145,101,5.5,27.7,73,160,Asymptomatic,False,0.5,False,Never,15.3,209,8.1,27.1,True,4567,79.3,0
+7778,52,Male,104,72,185,40,125,145,92,5.2,20.5,69,162,Asymptomatic,False,0.4,True,Current,3.9,148,7.0,39.4,False,6461,70.9,0
+7779,38,Male,113,73,185,53,98,191,103,5.6,28.6,83,182,Atypical Angina,False,1.0,False,Never,4.8,185,6.2,48.4,False,4897,60.2,0
+7780,60,Female,129,97,229,54,142,206,116,5.6,31.6,87,162,Atypical Angina,True,0.4,True,Current,4.1,144,6.4,52.2,False,2974,45.2,1
+7781,42,Female,146,80,190,77,81,159,91,4.5,24.5,73,165,Typical Angina,False,0.5,False,Never,5.2,77,8.6,51.4,False,7730,66.6,0
+7782,61,Female,134,87,187,61,106,144,83,5.0,22.3,82,162,Asymptomatic,False,1.2,True,Current,0.2,98,5.5,45.0,False,5534,89.0,0
+7783,28,Female,122,85,236,75,122,190,114,5.4,28.7,76,178,Asymptomatic,False,0.3,True,Current,0.1,155,7.7,69.3,True,6082,44.5,0
+7784,68,Male,149,92,164,58,85,200,93,4.8,27.5,88,147,Asymptomatic,False,0.5,False,Never,3.7,68,7.2,62.8,False,5554,61.1,0
+7785,61,Female,153,98,218,47,143,130,123,5.9,33.3,85,156,Asymptomatic,False,0.4,False,Current,6.0,96,7.2,41.5,True,6167,32.5,1
+7786,50,Male,134,85,166,42,97,193,119,5.9,25.8,86,165,Asymptomatic,True,4.5,False,Never,7.9,20,7.6,73.9,False,3407,42.5,1
+7787,48,Male,126,75,213,74,113,92,121,5.9,29.1,81,179,Asymptomatic,False,0.6,True,Never,8.9,69,7.2,48.5,False,5506,80.6,0
+7788,48,Male,129,73,186,66,96,114,105,5.4,23.9,72,171,Atypical Angina,False,0.7,True,Never,8.3,161,7.0,3.5,True,7250,66.1,0
+7789,63,Male,125,85,177,52,95,144,136,6.0,19.7,68,179,Asymptomatic,False,0.2,True,Former,13.3,198,7.4,43.9,False,4019,61.2,0
+7790,53,Female,125,84,196,48,108,151,153,6.8,19.9,83,147,Non-Anginal Pain,True,0.5,True,Current,3.4,43,4.1,38.3,False,5888,42.4,1
+7791,74,Female,138,92,278,58,163,281,128,5.8,34.8,87,160,Asymptomatic,True,2.0,False,Former,9.8,48,8.1,45.9,True,2790,44.0,1
+7792,49,Female,113,74,188,66,85,149,139,6.8,30.3,82,138,Typical Angina,False,2.5,False,Former,2.0,74,5.8,67.5,False,3803,68.4,1
+7793,65,Female,124,74,213,48,134,127,102,5.5,20.5,82,136,Non-Anginal Pain,False,0.8,False,Former,3.5,130,6.9,24.8,True,6139,64.0,0
+7794,73,Female,124,81,145,74,58,57,126,5.4,21.9,71,154,Asymptomatic,False,0.0,False,Never,13.3,192,6.5,46.8,False,3625,70.5,0
+7795,49,Male,121,86,147,50,74,128,165,7.1,23.9,87,148,Atypical Angina,False,1.1,True,Never,8.9,64,5.8,50.8,False,2567,60.7,1
+7796,62,Male,122,82,173,55,90,178,96,5.1,23.7,71,142,Atypical Angina,True,0.8,True,Former,2.3,162,8.8,51.9,False,1845,47.5,1
+7797,42,Male,123,94,193,51,114,144,122,5.8,29.5,78,163,Non-Anginal Pain,False,0.4,False,Never,2.3,127,7.9,30.1,True,9251,40.2,0
+7798,27,Female,114,67,152,57,87,112,108,5.3,26.3,81,197,Asymptomatic,False,1.3,False,Never,8.5,116,8.3,57.4,False,4708,62.3,0
+7799,58,Female,111,81,159,61,63,196,146,6.9,22.1,74,160,Non-Anginal Pain,False,1.1,False,Never,11.0,174,5.3,36.2,False,7549,69.3,0
+7800,57,Female,112,81,275,47,172,239,168,7.1,31.3,77,173,Asymptomatic,False,0.3,True,Never,1.6,200,7.7,60.0,True,7673,52.0,0
+7801,61,Male,130,76,177,37,120,93,136,6.5,28.1,72,146,Asymptomatic,True,0.3,False,Former,2.3,163,6.1,38.2,False,4991,47.1,1
+7802,40,Male,128,78,157,38,93,127,121,6.3,23.4,91,163,Asymptomatic,False,1.9,False,Never,1.6,73,8.3,66.3,True,4288,64.8,0
+7803,57,Male,141,87,174,48,108,96,101,5.0,22.5,83,175,Non-Anginal Pain,False,0.3,False,Never,10.3,71,8.9,36.0,False,1837,77.3,0
+7804,35,Female,108,73,202,72,93,154,148,6.0,25.8,100,186,Atypical Angina,False,0.5,False,Former,1.6,141,8.4,54.9,True,9205,49.3,0
+7805,47,Male,134,82,124,50,57,151,116,5.5,21.9,81,173,Non-Anginal Pain,False,0.5,False,Never,2.4,142,5.8,59.2,False,7008,86.9,0
+7806,70,Male,134,92,184,39,103,275,148,7.1,32.0,85,140,Asymptomatic,True,1.0,True,Never,3.3,46,7.6,33.8,False,5388,50.0,1
+7807,36,Male,145,93,174,46,99,85,119,5.1,25.0,79,196,Asymptomatic,False,1.7,True,Never,3.8,107,6.9,11.1,False,5315,71.7,0
+7808,64,Female,129,76,246,68,138,203,138,6.9,31.0,94,137,Asymptomatic,True,2.2,True,Never,0.4,118,5.6,18.9,True,6704,38.3,1
+7809,38,Male,105,65,183,39,103,136,127,6.0,17.3,83,184,Asymptomatic,False,0.7,True,Never,6.0,53,7.6,26.8,False,4489,75.1,0
+7810,59,Male,155,99,156,35,98,107,118,5.3,22.2,71,163,Asymptomatic,True,0.7,True,Former,7.6,150,7.3,40.6,True,9328,39.6,0
+7811,41,Male,114,73,203,68,94,164,135,6.1,25.9,67,185,Typical Angina,False,0.3,False,Former,16.9,185,7.3,13.9,False,7276,60.5,0
+7812,39,Male,104,53,213,57,110,217,110,5.8,25.8,65,190,Asymptomatic,False,0.4,False,Current,1.9,77,8.1,18.7,False,7648,68.7,0
+7813,31,Female,107,64,208,65,114,167,157,7.0,25.6,66,188,Non-Anginal Pain,False,0.2,False,Former,4.2,175,6.8,36.4,True,8382,50.4,0
+7814,59,Female,125,82,208,76,125,35,119,5.6,19.8,55,181,Typical Angina,True,0.3,True,Never,9.9,124,7.1,38.7,False,3912,73.9,0
+7815,32,Female,135,83,113,43,45,123,97,5.7,24.3,76,202,Non-Anginal Pain,True,0.5,False,Current,3.2,117,5.9,37.1,False,2379,62.1,0
+7816,56,Female,132,74,176,55,99,107,157,6.2,31.8,95,173,Non-Anginal Pain,False,0.5,True,Never,2.5,184,7.1,37.7,True,4701,58.7,0
+7817,51,Female,120,74,249,69,119,254,132,5.5,27.2,77,166,Non-Anginal Pain,False,1.1,False,Former,11.1,44,7.0,9.9,False,5327,31.3,0
+7818,28,Female,105,68,146,52,64,157,134,6.2,15.9,65,198,Asymptomatic,False,1.2,True,Current,4.7,144,4.5,35.3,True,6807,47.2,0
+7819,49,Female,136,92,202,58,104,217,102,5.6,24.9,87,173,Asymptomatic,False,0.9,True,Never,7.9,85,5.5,53.3,False,6484,42.6,0
+7820,41,Female,130,88,141,41,85,124,120,6.3,30.9,78,202,Asymptomatic,False,2.3,False,Never,2.2,154,7.6,31.0,False,6071,34.0,0
+7821,59,Female,122,63,174,46,106,104,130,6.0,24.8,74,154,Non-Anginal Pain,False,0.2,True,Never,1.1,123,6.4,47.0,True,7689,57.2,0
+7822,56,Female,104,66,193,84,67,158,127,5.7,20.8,78,175,Asymptomatic,False,0.6,False,Never,3.5,135,6.4,42.0,True,8864,73.5,0
+7823,72,Male,135,87,179,49,101,140,153,6.7,19.4,79,136,Non-Anginal Pain,True,0.4,False,Never,14.1,154,6.7,55.9,False,6305,72.7,1
+7824,58,Female,119,65,164,76,66,118,114,5.7,26.3,92,149,Non-Anginal Pain,False,0.3,True,Never,1.7,204,7.5,45.7,False,7135,75.3,0
+7825,55,Female,134,81,184,46,106,170,113,6.1,30.0,85,163,Non-Anginal Pain,False,0.4,True,Never,0.2,109,8.2,66.6,True,10048,58.2,0
+7826,60,Female,128,70,186,78,75,127,88,4.8,15.1,82,163,Asymptomatic,False,0.8,False,Never,2.6,218,6.5,58.0,True,9131,60.6,0
+7827,58,Male,120,67,182,52,114,137,108,5.5,20.3,84,169,Asymptomatic,True,0.0,False,Never,6.2,155,5.9,52.5,False,5742,70.8,0
+7828,51,Male,110,74,217,54,115,214,122,5.9,21.4,89,177,Asymptomatic,False,0.4,False,Current,6.7,138,8.1,45.8,True,8556,70.7,0
+7829,61,Female,135,89,180,70,88,148,102,5.5,27.3,85,166,Non-Anginal Pain,True,2.3,False,Never,3.2,186,7.2,27.8,False,7395,75.1,0
+7830,57,Male,144,75,167,50,80,184,138,5.9,30.0,81,161,Asymptomatic,False,0.8,True,Former,1.8,128,6.4,40.7,True,8793,61.8,0
+7831,60,Female,148,96,138,62,50,121,82,4.8,17.7,82,170,Asymptomatic,False,0.2,False,Never,2.6,103,8.8,42.2,True,6664,74.8,0
+7832,38,Female,124,77,199,57,105,153,111,5.4,24.1,97,197,Asymptomatic,True,0.9,True,Never,26.1,68,5.3,80.0,False,5508,55.5,0
+7833,53,Female,123,76,217,66,114,191,106,5.6,30.5,80,172,Asymptomatic,False,0.9,False,Former,9.4,147,6.2,47.9,True,9737,54.2,0
+7834,65,Male,149,89,209,56,105,263,99,5.2,26.2,90,134,Asymptomatic,True,2.9,True,Never,10.1,36,7.5,53.5,False,2753,27.5,1
+7835,62,Male,113,57,209,53,111,214,127,5.4,19.5,79,155,Asymptomatic,False,1.1,False,Never,6.9,198,6.0,71.8,False,9335,44.0,0
+7836,63,Female,116,65,199,39,141,132,118,6.1,28.4,88,149,Asymptomatic,False,0.8,False,Never,11.7,151,6.6,38.0,False,5623,87.0,0
+7837,63,Male,117,71,227,76,105,188,181,7.6,22.4,79,159,Asymptomatic,False,0.0,False,Former,9.5,146,7.0,26.8,True,7611,73.9,0
+7838,59,Female,136,89,193,40,116,176,150,6.5,28.9,86,142,Asymptomatic,False,4.2,False,Never,0.8,133,5.6,81.4,False,5405,49.4,1
+7839,67,Male,131,83,199,51,124,112,115,5.2,27.5,81,153,Asymptomatic,False,1.0,False,Never,2.0,198,7.3,40.7,True,8423,62.4,0
+7840,43,Male,113,86,248,90,122,234,92,4.8,23.6,82,179,Typical Angina,False,1.2,False,Never,12.2,174,6.2,62.9,False,5607,61.1,0
+7841,64,Female,121,70,176,59,97,124,122,5.3,21.1,75,154,Asymptomatic,False,0.3,False,Never,4.6,238,6.9,59.9,True,7231,80.4,0
+7842,57,Male,120,71,228,71,124,186,129,6.6,20.6,69,161,Asymptomatic,False,0.9,True,Never,3.4,163,5.1,57.4,False,5463,70.9,0
+7843,51,Male,130,67,203,58,93,226,111,5.4,31.0,83,207,Atypical Angina,False,0.5,False,Never,2.1,122,5.5,69.7,False,6374,27.8,0
+7844,57,Female,116,77,178,35,92,171,131,6.0,23.1,65,175,Asymptomatic,False,0.4,False,Never,3.2,77,7.8,52.5,True,7595,48.6,0
+7845,57,Male,129,89,122,47,57,152,114,5.2,26.5,68,173,Asymptomatic,True,0.2,False,Never,2.5,138,5.5,49.6,False,2288,74.4,0
+7846,38,Male,104,59,202,64,115,106,136,6.0,21.9,68,177,Non-Anginal Pain,False,0.3,True,Former,12.1,190,6.8,48.9,False,6253,80.6,0
+7847,43,Male,113,76,247,54,131,224,64,4.1,29.8,89,188,Non-Anginal Pain,False,0.3,False,Current,2.0,212,7.8,42.9,False,4250,34.8,0
+7848,66,Female,133,76,195,67,114,80,113,5.8,30.4,61,169,Asymptomatic,False,1.5,False,Never,8.5,133,8.1,38.3,False,1862,62.2,0
+7849,44,Male,108,70,182,66,97,94,131,5.8,17.2,91,158,Typical Angina,False,0.8,False,Never,2.9,140,6.5,33.7,False,6712,58.3,1
+7850,65,Male,138,94,205,38,136,94,121,6.3,23.9,79,144,Asymptomatic,False,0.2,False,Current,8.9,110,6.0,55.3,True,6853,61.2,1
+7851,63,Female,134,86,239,78,146,118,133,6.3,21.3,93,148,Asymptomatic,True,3.3,False,Never,2.0,83,4.6,90.9,False,4620,42.0,1
+7852,61,Male,118,75,163,62,72,103,136,6.2,20.0,76,178,Typical Angina,False,0.4,True,Former,7.2,185,8.0,36.4,False,4624,69.5,0
+7853,56,Female,110,78,181,39,99,178,112,5.7,23.2,69,159,Asymptomatic,False,1.3,False,Never,4.5,117,5.3,60.7,False,4596,63.2,0
+7854,72,Male,133,94,174,46,109,87,142,6.0,29.6,92,156,Asymptomatic,False,2.8,False,Never,2.2,85,7.5,48.7,False,4265,48.5,0
+7855,61,Female,118,69,196,58,113,118,125,5.9,19.0,79,187,Asymptomatic,False,0.9,False,Former,11.2,208,5.8,26.3,True,8003,35.4,0
+7856,70,Male,147,107,261,56,162,176,117,5.8,24.5,87,134,Asymptomatic,False,1.2,False,Current,9.8,230,5.5,77.9,False,4669,48.5,1
+7857,67,Male,133,93,171,43,89,156,125,5.9,25.2,84,127,Asymptomatic,False,5.1,True,Never,3.3,19,7.6,72.2,False,6192,46.5,1
+7858,53,Female,123,71,216,66,96,238,91,4.8,26.6,84,164,Non-Anginal Pain,False,2.3,False,Former,5.0,260,8.5,32.1,True,7727,55.9,0
+7859,51,Female,126,88,144,65,42,166,140,5.8,22.4,85,185,Non-Anginal Pain,False,2.0,False,Never,6.7,109,5.8,64.9,False,7662,71.0,0
+7860,54,Female,154,85,235,61,137,137,141,6.7,35.8,93,180,Atypical Angina,False,0.5,False,Never,0.0,0,6.3,39.5,False,3552,61.8,0
+7861,61,Female,148,93,166,54,82,178,119,5.3,29.3,85,136,Typical Angina,False,0.6,False,Former,10.8,79,6.6,55.2,True,3659,60.2,0
+7862,41,Female,107,69,148,51,80,106,130,5.5,26.9,70,178,Asymptomatic,False,1.3,False,Current,0.0,234,5.4,28.8,False,5667,52.8,0
+7863,34,Female,121,85,170,46,82,213,124,6.3,23.7,80,194,Asymptomatic,False,0.8,False,Never,4.0,182,7.0,64.7,True,8102,93.9,0
+7864,53,Female,136,86,206,68,105,189,93,4.6,33.3,87,167,Non-Anginal Pain,False,0.5,False,Never,0.2,108,6.8,33.6,False,7095,46.1,0
+7865,36,Male,117,72,164,59,85,100,67,4.1,24.0,81,186,Typical Angina,False,0.7,True,Never,7.0,238,6.5,63.1,False,8919,47.9,0
+7866,45,Male,127,77,213,62,132,150,83,4.6,25.7,89,172,Non-Anginal Pain,False,0.8,False,Former,3.1,111,5.8,28.2,True,6685,72.2,0
+7867,58,Female,130,85,160,39,96,139,117,5.4,25.9,81,164,Asymptomatic,False,1.1,True,Never,9.6,188,7.8,60.1,True,9291,65.8,0
+7868,59,Male,130,74,210,65,138,145,121,5.7,30.1,85,120,Non-Anginal Pain,True,0.3,False,Former,5.3,120,7.6,72.7,False,6956,52.1,1
+7869,73,Female,119,79,157,55,77,122,95,5.2,22.9,91,160,Asymptomatic,False,1.2,False,Never,17.0,162,7.5,36.3,False,3694,53.5,0
+7870,40,Male,116,88,166,53,80,121,113,5.3,26.5,87,176,Asymptomatic,False,0.7,False,Current,3.7,177,7.4,80.4,False,7830,61.6,0
+7871,33,Female,107,55,146,54,77,35,128,6.2,23.5,82,172,Non-Anginal Pain,False,0.8,True,Never,2.6,170,7.6,14.4,True,6928,70.4,0
+7872,63,Female,135,89,192,48,124,138,117,5.7,26.8,89,152,Atypical Angina,False,1.2,False,Current,8.8,214,6.7,62.0,False,4813,68.7,1
+7873,37,Female,95,57,248,88,116,201,136,6.4,18.7,65,208,Asymptomatic,False,1.7,False,Former,11.2,201,6.1,49.0,False,4700,70.0,0
+7874,61,Male,135,81,162,36,96,110,63,4.6,19.6,85,135,Asymptomatic,True,0.1,False,Current,13.6,0,7.5,46.7,True,5807,72.8,1
+7875,32,Male,120,74,199,66,83,218,118,5.5,26.8,65,184,Typical Angina,True,0.1,False,Current,3.6,193,6.6,23.0,True,5565,81.2,0
+7876,41,Female,120,69,191,59,82,162,125,5.5,26.1,77,189,Asymptomatic,False,1.6,False,Former,7.8,181,5.6,6.2,False,6777,55.8,0
+7877,63,Female,115,62,219,57,131,164,121,5.9,24.6,84,151,Asymptomatic,False,0.1,True,Current,1.2,244,6.6,51.6,True,7201,35.5,1
+7878,35,Male,113,79,193,55,122,107,60,4.3,19.4,60,180,Asymptomatic,False,0.3,False,Never,2.5,197,6.3,51.3,True,4659,65.8,0
+7879,53,Female,135,80,182,72,85,144,118,6.0,23.4,74,159,Asymptomatic,False,1.2,False,Never,2.6,195,6.8,40.4,False,6985,76.6,0
+7880,59,Male,141,85,255,48,172,126,145,6.4,30.5,95,126,Asymptomatic,True,0.5,True,Current,2.1,106,7.4,88.0,False,6687,62.1,1
+7881,37,Male,124,84,148,65,68,123,99,5.1,31.2,87,198,Atypical Angina,False,1.4,False,Never,4.0,174,7.9,34.5,True,7748,71.2,0
+7882,59,Male,151,79,164,45,78,193,180,7.7,28.1,88,144,Asymptomatic,True,1.5,False,Never,16.7,0,7.4,90.6,False,6422,61.1,1
+7883,67,Female,129,75,169,53,81,171,153,6.8,30.2,71,168,Asymptomatic,False,0.3,False,Never,1.6,165,5.5,67.6,True,12118,75.3,0
+7884,52,Female,138,102,166,48,89,100,125,6.6,23.3,92,145,Non-Anginal Pain,True,0.4,True,Former,0.6,116,6.3,57.2,False,3180,49.6,1
+7885,51,Male,128,74,210,47,123,194,136,6.5,27.2,79,132,Asymptomatic,True,2.4,False,Former,2.2,198,7.0,64.2,True,7334,53.7,1
+7886,69,Female,155,94,234,63,137,175,117,5.9,24.4,74,162,Asymptomatic,False,1.4,False,Never,2.4,142,7.9,33.3,False,3685,25.7,0
+7887,37,Male,110,68,186,54,85,247,159,7.0,24.2,82,198,Asymptomatic,False,4.1,False,Never,10.8,80,6.9,28.3,True,9828,58.5,0
+7888,63,Male,125,86,217,47,137,164,114,5.9,26.8,91,189,Asymptomatic,False,0.0,False,Never,5.2,112,7.6,43.4,True,5866,62.3,0
+7889,54,Female,97,71,239,83,121,172,106,5.8,20.6,78,194,Non-Anginal Pain,False,0.6,False,Never,14.1,205,7.6,25.0,True,9104,38.3,0
+7890,61,Male,131,78,224,68,144,82,136,6.0,15.0,75,168,Asymptomatic,False,0.2,False,Never,12.7,214,5.3,39.9,True,7431,64.1,0
+7891,53,Female,121,79,197,54,122,102,92,4.4,20.9,85,157,Asymptomatic,True,1.5,False,Never,3.3,142,6.1,48.5,False,7135,36.8,0
+7892,40,Male,121,72,177,47,86,221,140,6.3,28.1,93,163,Non-Anginal Pain,True,5.2,False,Never,8.5,121,5.8,34.5,True,10070,67.0,1
+7893,60,Female,124,81,192,64,79,162,78,5.1,24.3,81,175,Atypical Angina,False,1.2,True,Never,0.3,189,7.7,35.7,True,7610,60.4,0
+7894,59,Male,127,84,176,54,93,158,115,5.9,28.1,79,157,Non-Anginal Pain,True,0.6,True,Current,3.3,205,9.4,11.8,True,7170,79.4,1
+7895,47,Male,117,76,228,59,133,185,118,6.2,25.1,62,183,Asymptomatic,False,0.7,False,Current,9.7,271,7.5,37.3,True,10204,69.0,1
+7896,34,Male,118,79,170,46,93,138,115,5.6,27.5,91,192,Non-Anginal Pain,False,0.7,True,Never,6.2,188,7.4,30.9,False,7065,19.1,0
+7897,57,Female,107,68,213,39,122,214,76,4.8,18.5,84,196,Typical Angina,False,2.1,False,Never,0.4,173,8.4,21.4,True,5240,66.6,0
+7898,58,Female,137,83,165,70,77,129,75,4.8,32.1,86,163,Non-Anginal Pain,False,0.8,False,Former,0.1,116,7.5,49.0,False,4479,87.9,0
+7899,33,Male,108,68,199,68,89,161,108,5.5,23.1,66,190,Asymptomatic,False,0.2,False,Never,5.8,151,6.3,7.0,False,9526,100.0,0
+7900,39,Male,136,93,153,42,77,151,112,5.4,31.2,85,179,Asymptomatic,False,0.2,True,Never,5.9,109,8.3,27.9,True,10225,68.3,0
+7901,24,Female,104,75,128,68,35,180,100,5.8,26.6,95,201,Non-Anginal Pain,True,0.1,False,Never,2.3,150,6.6,47.7,True,9085,56.1,0
+7902,58,Male,128,88,181,28,123,156,111,5.6,27.3,86,121,Typical Angina,False,0.9,False,Current,4.8,57,4.5,33.0,False,2237,42.3,1
+7903,56,Female,124,66,187,31,145,119,109,5.8,18.9,70,161,Atypical Angina,True,0.2,False,Former,5.0,129,7.7,46.2,False,6764,47.2,1
+7904,47,Male,124,75,163,49,85,138,114,5.7,26.8,66,184,Asymptomatic,False,3.1,False,Never,2.9,197,5.4,74.8,False,6146,68.5,0
+7905,62,Male,129,81,230,50,129,156,128,6.2,27.8,91,163,Non-Anginal Pain,False,1.5,False,Never,3.4,112,6.7,78.0,False,2965,71.7,0
+7906,81,Male,152,92,235,69,136,129,166,6.7,24.3,80,112,Atypical Angina,False,1.9,True,Never,9.2,37,6.6,34.2,False,5537,41.4,1
+7907,46,Male,116,68,222,53,129,183,75,4.6,29.5,83,189,Asymptomatic,False,0.7,True,Former,2.3,144,8.6,50.9,True,7774,74.8,0
+7908,41,Female,143,82,122,50,51,112,119,5.8,20.3,97,181,Atypical Angina,False,0.3,False,Never,10.0,254,6.9,65.8,True,7943,76.2,0
+7909,69,Male,133,93,201,77,92,116,98,5.5,16.4,65,176,Asymptomatic,False,0.5,False,Never,1.9,163,6.6,39.2,True,7143,62.6,0
+7910,29,Male,110,69,196,47,114,171,129,6.0,33.9,88,210,Asymptomatic,False,1.4,False,Never,6.8,245,7.3,55.7,False,7568,79.5,0
+7911,25,Male,121,84,146,65,51,162,117,5.5,18.9,82,203,Asymptomatic,False,0.8,False,Current,5.2,189,8.0,52.5,False,3462,70.7,0
+7912,65,Male,120,71,142,36,77,129,123,6.0,23.9,83,157,Non-Anginal Pain,True,0.1,False,Never,14.1,128,7.6,49.6,True,6432,52.9,0
+7913,52,Female,124,89,136,60,65,174,123,5.8,22.4,85,182,Asymptomatic,False,0.6,False,Current,0.5,167,6.0,40.2,True,5161,43.1,0
+7914,37,Male,125,90,126,30,68,165,101,5.1,30.2,93,160,Non-Anginal Pain,False,5.2,False,Former,6.1,32,5.4,62.5,False,2087,50.4,1
+7915,47,Female,100,57,224,58,113,205,138,6.4,25.4,76,176,Asymptomatic,False,2.0,False,Never,3.9,136,8.8,19.1,False,6683,75.0,0
+7916,53,Female,123,90,230,72,113,171,94,5.1,29.8,71,177,Non-Anginal Pain,False,1.4,False,Never,0.8,151,7.1,42.0,False,5907,74.5,0
+7917,51,Female,136,93,160,55,63,140,128,6.2,26.1,79,181,Asymptomatic,False,0.1,False,Former,4.3,124,6.3,39.7,True,6584,64.9,0
+7918,59,Male,140,78,208,56,124,145,115,6.0,24.0,83,169,Asymptomatic,False,2.3,False,Never,6.5,155,10.1,28.4,False,2399,61.7,0
+7919,47,Male,155,84,159,29,96,182,142,6.4,28.0,71,190,Asymptomatic,False,0.4,False,Never,4.4,167,5.6,65.4,False,6129,68.2,0
+7920,31,Male,102,70,167,56,100,89,98,5.0,17.9,85,199,Atypical Angina,False,0.3,True,Never,5.9,174,3.9,33.0,True,8807,69.7,0
+7921,33,Female,116,83,210,72,85,245,129,5.5,27.9,78,177,Atypical Angina,False,0.4,True,Former,1.8,135,6.8,67.9,False,6964,57.3,0
+7922,68,Male,157,96,208,63,110,154,98,5.0,23.2,77,169,Asymptomatic,False,0.4,True,Never,23.5,203,6.2,48.8,True,5683,56.1,0
+7923,45,Female,126,90,214,76,72,264,104,5.0,26.0,94,192,Typical Angina,False,0.3,False,Never,9.5,191,6.1,31.9,True,4780,76.6,0
+7924,46,Male,141,91,167,41,99,162,98,4.9,30.7,72,180,Atypical Angina,False,0.1,False,Never,2.8,164,7.6,41.9,False,6961,51.0,0
+7925,20,Female,96,57,185,54,103,116,133,7.1,26.6,78,204,Asymptomatic,False,0.8,True,Current,0.1,142,7.8,70.8,False,9961,60.2,1
+7926,35,Male,115,63,155,38,98,137,137,6.0,18.7,91,191,Asymptomatic,True,0.5,False,Never,10.9,221,6.2,52.8,False,6904,74.3,0
+7927,55,Male,126,89,144,45,58,161,131,5.9,21.5,84,151,Typical Angina,True,0.4,True,Never,1.6,138,8.1,46.5,False,1712,57.8,1
+7928,46,Male,104,59,135,20,95,166,134,6.3,30.2,86,151,Asymptomatic,False,1.1,False,Current,1.7,141,6.8,54.2,True,8111,52.6,0
+7929,55,Female,110,73,175,50,95,181,115,6.0,28.4,82,182,Non-Anginal Pain,False,1.2,True,Current,9.5,126,8.4,41.2,False,5411,73.6,0
+7930,59,Female,119,67,221,56,135,168,119,5.7,18.4,70,181,Non-Anginal Pain,False,0.6,False,Never,0.0,137,8.3,42.1,True,9651,44.8,0
+7931,47,Female,129,74,242,72,153,99,133,5.1,27.4,81,173,Non-Anginal Pain,False,0.3,False,Never,5.0,166,6.9,56.3,False,6206,53.5,0
+7932,86,Female,169,88,225,60,140,112,164,7.7,30.4,83,129,Asymptomatic,True,2.0,True,Former,4.9,0,8.4,48.2,False,4468,58.9,1
+7933,48,Male,133,93,108,59,37,158,137,6.2,24.4,88,173,Asymptomatic,False,0.5,False,Never,4.3,149,8.1,49.2,False,8121,56.9,0
+7934,63,Male,130,85,208,57,109,196,129,6.5,26.4,93,126,Atypical Angina,False,1.0,False,Former,11.0,114,7.5,37.2,True,4936,71.5,1
+7935,58,Male,123,80,211,58,103,198,74,4.7,21.7,88,171,Asymptomatic,False,1.9,True,Current,1.6,198,8.4,52.8,True,6648,75.7,0
+7936,77,Female,135,74,173,65,84,117,113,5.5,27.8,73,157,Non-Anginal Pain,False,0.8,False,Never,3.5,223,9.3,49.1,True,5295,96.8,0
+7937,49,Male,113,71,182,56,102,110,120,5.9,28.5,83,177,Typical Angina,False,1.5,False,Former,2.2,86,7.2,55.5,False,4353,38.6,0
+7938,46,Male,124,78,195,51,111,154,153,7.3,26.2,75,191,Non-Anginal Pain,False,0.1,False,Never,2.9,237,7.4,40.4,True,8999,46.9,0
+7939,46,Male,121,85,231,56,136,148,106,5.0,27.4,79,167,Atypical Angina,False,3.0,False,Never,9.4,231,7.7,69.7,False,6715,57.4,0
+7940,59,Male,123,74,145,59,61,123,89,5.3,23.4,57,161,Asymptomatic,False,0.5,False,Former,2.3,198,5.7,58.4,True,7951,47.3,0
+7941,62,Female,114,78,165,48,103,179,92,4.8,15.9,79,146,Non-Anginal Pain,False,1.3,False,Former,0.7,53,5.0,61.7,False,6267,54.0,0
+7942,44,Male,140,98,194,39,103,260,103,4.7,22.1,84,166,Atypical Angina,False,0.5,True,Never,24.4,34,7.0,81.2,True,6060,37.9,0
+7943,57,Male,125,76,154,54,85,143,144,6.3,26.9,82,132,Non-Anginal Pain,True,0.3,True,Never,2.3,114,6.6,37.6,False,7101,78.5,1
+7944,33,Female,129,87,151,55,81,101,144,6.4,23.5,88,177,Typical Angina,True,0.2,True,Never,2.3,134,6.9,58.3,False,6448,60.9,0
+7945,74,Male,131,77,189,49,113,117,149,6.7,27.6,71,152,Asymptomatic,True,5.1,True,Never,1.9,128,6.0,39.3,True,6182,41.7,1
+7946,69,Male,153,98,241,53,148,233,173,7.0,27.9,75,134,Asymptomatic,True,1.9,True,Current,13.8,85,8.0,53.1,False,4872,76.6,1
+7947,64,Male,140,78,206,31,135,156,91,5.0,27.0,85,132,Non-Anginal Pain,True,1.8,False,Current,17.8,0,6.3,51.8,False,2207,53.9,1
+7948,52,Female,120,78,210,55,143,85,131,5.9,23.1,81,192,Asymptomatic,False,0.4,False,Never,1.3,168,5.0,54.0,False,7429,63.6,0
+7949,46,Male,137,79,204,58,120,182,69,4.2,24.7,84,161,Non-Anginal Pain,True,0.4,True,Former,4.1,274,6.0,72.2,True,8706,91.3,1
+7950,61,Female,149,101,185,46,126,112,142,5.9,23.7,76,168,Asymptomatic,False,0.2,True,Never,1.2,77,6.5,70.3,False,5767,48.0,0
+7951,44,Male,123,81,243,54,155,172,88,5.9,28.8,73,182,Atypical Angina,False,1.4,False,Never,1.6,104,8.6,50.5,False,5142,42.0,0
+7952,35,Female,119,77,199,54,123,97,125,5.7,23.0,83,177,Atypical Angina,False,3.8,False,Never,1.8,164,5.1,39.1,False,4356,70.6,1
+7953,60,Male,122,85,198,56,140,35,114,5.4,17.0,88,158,Atypical Angina,False,1.8,True,Never,2.4,54,6.6,38.5,False,5151,71.0,1
+7954,56,Male,127,79,214,55,103,283,113,5.8,24.4,74,164,Non-Anginal Pain,False,0.2,True,Never,8.0,203,6.7,48.4,False,3457,61.3,0
+7955,72,Male,141,81,192,43,129,115,135,5.5,22.4,80,135,Asymptomatic,False,0.6,True,Never,1.8,128,7.2,48.7,False,7217,73.8,0
+7956,44,Male,131,86,182,56,102,129,142,7.4,33.7,82,170,Asymptomatic,True,0.3,False,Never,2.4,124,8.6,61.6,False,6635,68.0,1
+7957,66,Male,132,88,164,50,100,81,89,5.1,29.5,87,155,Asymptomatic,False,1.4,False,Former,3.1,37,4.5,4.3,False,3692,49.6,0
+7958,46,Female,130,75,143,31,99,79,111,5.5,27.5,84,192,Asymptomatic,False,0.2,False,Never,0.1,137,6.1,37.6,False,4771,55.1,0
+7959,54,Female,108,54,179,67,91,158,76,5.3,25.3,86,148,Asymptomatic,True,0.5,False,Never,4.3,147,7.5,40.4,True,7621,43.2,0
+7960,60,Female,136,85,182,50,90,226,99,4.8,25.4,63,188,Asymptomatic,False,1.3,False,Never,8.8,166,8.1,74.0,False,5033,59.4,0
+7961,56,Female,105,80,170,56,99,80,119,6.0,21.1,69,179,Asymptomatic,False,0.4,True,Current,1.0,164,8.0,64.6,True,8801,64.1,0
+7962,44,Male,104,64,196,55,120,118,94,5.5,19.4,82,146,Atypical Angina,True,4.4,True,Never,9.3,184,5.8,21.5,True,8526,54.4,1
+7963,65,Female,139,88,206,50,132,234,125,5.3,34.4,84,164,Asymptomatic,False,2.5,False,Never,8.6,142,5.3,50.3,False,10576,58.2,1
+7964,40,Female,128,85,164,65,77,125,119,5.9,29.7,64,186,Asymptomatic,False,0.5,False,Never,9.8,178,8.4,61.4,True,6746,64.6,0
+7965,71,Female,123,64,233,58,161,75,67,4.6,20.9,76,144,Atypical Angina,False,0.5,False,Former,6.6,165,7.4,37.5,False,7442,49.5,0
+7966,28,Female,112,83,222,59,122,151,107,5.4,22.6,93,210,Typical Angina,False,0.4,False,Former,1.8,147,7.0,49.1,False,8071,50.4,0
+7967,67,Male,122,75,227,76,135,82,138,5.9,20.8,79,145,Asymptomatic,False,4.7,True,Current,8.8,80,6.7,49.9,False,6374,42.9,1
+7968,45,Female,122,71,178,64,106,131,112,5.4,21.2,82,161,Atypical Angina,True,0.4,False,Former,5.9,177,6.6,69.9,True,5926,35.9,1
+7969,48,Female,117,81,219,47,154,114,139,6.7,28.0,81,171,Asymptomatic,False,0.1,False,Never,0.3,84,6.5,42.9,False,5567,60.5,0
+7970,31,Female,143,86,169,58,83,172,139,6.1,25.2,84,196,Atypical Angina,False,2.1,False,Never,4.6,202,5.8,16.0,False,9087,70.8,0
+7971,52,Male,118,78,243,52,136,237,99,5.3,26.5,94,141,Non-Anginal Pain,True,2.0,True,Never,6.7,147,8.1,44.4,False,3004,80.9,1
+7972,57,Male,136,88,182,50,116,102,70,4.5,25.0,81,159,Non-Anginal Pain,False,0.8,False,Never,17.2,71,4.5,49.9,False,5275,81.2,1
+7973,63,Female,130,91,205,61,98,247,133,6.0,28.5,75,155,Typical Angina,False,3.3,True,Former,19.6,267,7.8,34.5,True,8352,56.7,1
+7974,68,Female,129,73,159,54,109,97,149,6.5,26.5,84,171,Asymptomatic,False,1.4,False,Former,1.7,160,7.2,51.8,True,4400,88.7,0
+7975,52,Female,118,84,199,64,106,159,123,6.1,25.7,90,155,Non-Anginal Pain,True,1.5,False,Never,10.0,121,4.9,45.6,True,7013,74.6,1
+7976,55,Female,125,79,169,60,79,119,101,5.1,24.0,86,175,Asymptomatic,False,0.2,False,Current,2.0,123,7.2,44.6,False,8453,63.0,0
+7977,59,Male,144,84,163,36,97,138,144,6.6,32.2,86,152,Atypical Angina,False,1.4,False,Current,11.1,128,8.1,42.7,False,6208,36.9,1
+7978,58,Male,126,81,188,48,91,262,128,5.8,25.4,70,154,Atypical Angina,False,0.3,False,Never,4.0,200,8.9,53.7,False,9470,63.5,0
+7979,72,Female,157,93,209,56,117,149,150,6.5,30.7,83,128,Asymptomatic,False,1.2,False,Current,4.1,73,6.1,42.2,False,1602,37.1,1
+7980,57,Female,106,87,144,63,59,120,105,5.1,20.2,68,187,Atypical Angina,False,0.4,False,Never,4.6,252,8.0,20.8,True,9131,59.4,0
+7981,44,Male,100,64,179,69,86,146,113,5.6,20.7,82,176,Asymptomatic,False,0.3,True,Never,13.1,273,7.8,56.5,True,7700,73.3,0
+7982,62,Male,139,77,211,73,91,186,93,4.6,20.8,74,178,Atypical Angina,False,0.1,False,Former,7.2,233,8.2,23.3,True,6728,55.3,0
+7983,31,Female,113,63,184,65,84,148,126,6.1,25.1,78,209,Non-Anginal Pain,False,0.6,False,Former,3.9,206,7.8,36.7,False,4897,55.4,0
+7984,38,Male,142,79,221,58,136,119,110,5.8,16.4,80,190,Non-Anginal Pain,False,1.1,False,Never,12.4,256,5.9,72.7,False,6705,63.5,0
+7985,51,Female,132,86,226,58,120,163,128,5.7,25.0,82,183,Asymptomatic,False,0.6,True,Never,0.5,120,6.5,48.2,True,5244,51.0,0
+7986,53,Female,120,65,202,50,120,139,94,4.9,26.2,99,175,Asymptomatic,False,2.7,False,Current,6.5,167,7.0,47.4,False,1729,47.6,0
+7987,71,Male,137,72,239,54,146,255,102,5.8,25.9,81,146,Asymptomatic,True,0.1,False,Current,6.9,187,9.1,46.8,True,6794,54.7,1
+7988,55,Male,141,87,174,35,115,101,131,6.3,25.1,82,149,Non-Anginal Pain,False,0.4,False,Current,24.7,56,6.5,49.6,True,4650,45.4,0
+7989,51,Female,125,76,192,58,110,98,114,5.6,30.8,81,177,Asymptomatic,False,0.4,False,Never,7.4,55,6.6,53.7,False,3811,70.0,0
+7990,64,Male,137,80,188,56,86,165,101,5.8,20.1,72,144,Non-Anginal Pain,False,0.2,False,Never,4.6,107,6.3,36.2,True,7114,74.9,0
+7991,62,Male,143,97,221,35,149,144,144,6.0,32.2,99,150,Non-Anginal Pain,True,2.0,False,Current,11.3,88,6.5,59.8,True,4142,42.2,1
+7992,62,Female,129,85,140,39,72,149,139,6.2,21.5,84,129,Atypical Angina,True,1.0,True,Never,0.2,61,6.9,76.1,True,7379,30.1,1
+7993,68,Male,160,109,180,55,113,97,135,7.0,25.3,76,161,Atypical Angina,False,1.7,False,Never,6.0,106,8.1,70.1,False,4157,97.1,1
+7994,64,Female,126,77,132,46,61,159,136,5.6,31.0,85,168,Asymptomatic,True,1.2,True,Former,2.6,44,8.6,33.9,False,4748,68.6,0
+7995,54,Male,118,77,138,41,79,105,114,5.6,26.9,89,163,Asymptomatic,True,0.7,False,Never,4.7,114,6.2,32.9,False,6938,32.8,0
+7996,47,Male,128,88,185,51,102,141,127,5.8,27.0,80,164,Typical Angina,False,1.9,False,Never,2.5,27,7.5,35.4,False,6484,40.0,0
+7997,37,Male,145,86,207,41,115,277,137,6.4,34.1,85,178,Asymptomatic,True,1.8,False,Current,15.4,100,8.0,47.1,False,8431,33.2,1
+7998,64,Male,144,93,164,44,89,130,145,6.6,29.1,96,146,Asymptomatic,False,2.9,False,Former,8.9,62,6.7,68.1,False,3465,65.4,1
+7999,56,Male,125,78,148,52,85,106,144,6.7,26.3,85,163,Asymptomatic,True,2.5,False,Current,3.6,265,7.4,38.2,True,5566,65.9,0
+8000,66,Female,108,67,227,59,146,106,134,6.1,23.8,97,148,Non-Anginal Pain,False,0.2,False,Current,2.5,152,8.0,53.3,True,7847,42.9,0
+8001,52,Female,124,71,203,73,113,110,149,6.6,21.2,79,173,Asymptomatic,False,0.4,False,Never,5.9,213,7.7,93.3,True,8499,74.0,0
+8002,60,Female,130,74,232,57,130,212,113,5.9,22.4,75,152,Non-Anginal Pain,False,0.8,False,Never,9.1,0,6.8,47.9,False,5868,84.4,0
+8003,56,Female,124,82,213,45,125,137,148,6.6,30.6,69,161,Atypical Angina,False,0.4,False,Former,12.0,178,5.9,50.4,True,8870,66.8,0
+8004,35,Male,105,71,157,52,71,222,117,6.0,26.1,86,181,Non-Anginal Pain,False,0.4,False,Former,3.0,305,9.3,56.6,True,10064,53.1,1
+8005,50,Male,114,73,181,59,72,200,121,5.9,32.2,88,176,Asymptomatic,False,0.4,False,Never,7.6,167,5.7,33.6,True,10582,68.5,0
+8006,27,Male,107,61,185,95,63,140,120,5.6,20.8,65,203,Non-Anginal Pain,False,0.2,True,Former,3.9,243,8.4,35.8,True,9784,80.8,0
+8007,55,Female,127,88,232,57,129,234,89,4.5,21.7,70,175,Asymptomatic,False,0.4,True,Never,4.1,157,8.0,12.8,False,6747,41.4,0
+8008,90,Male,120,55,259,74,159,148,155,6.5,20.1,102,125,Non-Anginal Pain,True,1.5,False,Never,2.4,128,6.2,28.0,True,5284,53.5,1
+8009,69,Female,128,74,168,50,104,48,96,5.8,27.3,78,183,Asymptomatic,False,2.3,False,Never,0.9,116,7.3,40.3,False,5269,54.9,0
+8010,72,Male,142,84,190,38,124,165,119,5.7,30.2,99,113,Atypical Angina,True,1.3,True,Former,12.4,112,6.3,53.6,True,5698,73.4,1
+8011,51,Female,123,78,182,51,89,181,141,6.0,24.4,73,191,Asymptomatic,False,0.5,False,Never,0.1,186,7.8,56.1,True,5155,32.0,0
+8012,44,Female,123,93,197,66,107,142,115,5.9,27.5,79,191,Asymptomatic,False,0.6,False,Former,4.3,98,8.2,37.5,False,5698,63.3,0
+8013,49,Male,125,82,213,36,153,136,143,6.5,28.1,71,185,Asymptomatic,False,1.3,False,Never,3.8,141,6.9,61.0,False,8730,58.2,0
+8014,64,Female,136,90,255,71,155,94,123,5.9,16.0,95,148,Asymptomatic,False,1.1,True,Current,4.9,35,6.7,42.8,False,3437,55.9,0
+8015,40,Male,112,69,187,60,96,168,101,5.3,24.9,82,184,Typical Angina,False,0.6,True,Former,2.3,132,8.7,20.9,True,6557,36.0,0
+8016,85,Female,144,100,179,37,110,167,131,6.0,22.4,71,134,Typical Angina,False,0.2,True,Never,3.2,118,6.9,36.7,False,7136,43.5,1
+8017,47,Male,116,73,215,55,147,83,103,5.4,24.7,98,180,Typical Angina,False,0.9,False,Never,2.6,250,8.0,65.1,True,6418,73.7,0
+8018,51,Male,120,78,214,62,99,224,95,4.4,25.5,83,173,Asymptomatic,False,0.4,False,Former,4.8,216,7.1,45.1,False,8346,46.0,0
+8019,70,Female,117,79,196,54,89,211,123,6.0,21.9,85,155,Non-Anginal Pain,False,0.1,False,Current,0.1,216,8.3,61.9,True,4989,52.8,0
+8020,60,Female,129,79,193,68,87,161,143,6.0,25.7,71,151,Asymptomatic,False,2.1,False,Never,2.6,125,5.9,74.0,False,5173,77.6,0
+8021,66,Female,134,82,173,56,91,175,109,5.3,26.2,80,149,Asymptomatic,False,0.4,False,Never,2.6,115,7.2,16.6,False,4220,68.5,0
+8022,26,Female,112,72,213,53,130,170,120,6.2,28.2,81,210,Typical Angina,True,0.6,False,Never,0.5,191,6.9,37.2,True,6891,25.7,0
+8023,50,Male,125,88,250,56,139,218,127,5.6,25.8,84,156,Atypical Angina,False,1.6,True,Never,4.2,123,7.3,65.6,False,4235,35.5,1
+8024,53,Female,134,72,180,53,99,106,112,5.4,30.4,83,151,Asymptomatic,False,1.1,False,Never,4.4,100,8.2,58.0,False,6693,61.0,0
+8025,54,Male,127,81,162,54,86,157,119,5.9,24.5,80,148,Asymptomatic,False,1.0,False,Never,1.9,190,7.4,33.8,False,5165,65.8,0
+8026,77,Female,161,104,246,72,124,235,88,4.0,26.3,74,171,Atypical Angina,False,1.4,True,Never,4.6,208,7.3,39.6,True,6698,73.4,0
+8027,46,Male,142,87,205,71,125,97,111,5.9,24.0,93,201,Non-Anginal Pain,False,0.7,True,Former,2.4,214,7.9,38.7,True,7324,48.8,0
+8028,58,Male,122,88,140,57,71,74,107,5.3,22.8,85,185,Atypical Angina,False,0.8,True,Former,3.4,149,5.8,38.3,True,6544,81.7,0
+8029,77,Male,144,88,232,40,135,265,112,5.9,30.7,92,112,Non-Anginal Pain,True,1.5,False,Current,6.5,60,7.2,39.3,True,5869,68.0,1
+8030,26,Female,126,84,180,70,75,114,138,5.8,29.5,92,199,Asymptomatic,False,0.4,False,Never,1.5,188,8.0,61.9,True,5277,81.8,0
+8031,36,Female,126,90,167,37,115,95,114,5.6,26.9,94,202,Asymptomatic,False,1.2,False,Former,4.9,93,5.7,47.9,True,7751,70.0,0
+8032,49,Male,135,90,192,65,93,137,134,6.6,21.8,78,170,Asymptomatic,False,1.3,False,Former,8.3,81,7.1,55.6,False,6935,55.7,0
+8033,42,Male,129,81,202,42,132,122,167,6.6,33.8,79,187,Non-Anginal Pain,True,0.1,False,Never,6.2,93,7.3,48.5,True,4526,47.8,1
+8034,39,Female,114,82,196,63,110,98,132,5.7,24.5,69,161,Asymptomatic,False,0.6,True,Never,6.5,164,5.8,69.2,False,6486,49.2,0
+8035,57,Male,129,94,213,48,121,187,104,5.0,32.1,69,135,Asymptomatic,False,0.0,True,Never,11.2,52,6.0,36.7,False,5511,45.9,0
+8036,73,Male,144,81,186,42,112,155,118,6.2,27.0,67,119,Asymptomatic,True,0.5,False,Current,14.6,34,7.2,43.7,False,4100,50.6,1
+8037,38,Male,115,77,202,81,93,162,84,5.0,32.8,83,179,Asymptomatic,False,0.1,False,Former,3.5,200,6.0,48.6,False,5306,48.7,0
+8038,69,Female,133,90,155,47,108,108,126,6.3,26.0,67,152,Asymptomatic,False,0.7,False,Never,11.1,168,5.9,52.8,True,1498,73.1,0
+8039,41,Male,129,83,206,61,116,146,106,5.4,23.3,91,208,Non-Anginal Pain,False,0.0,False,Never,2.6,99,6.3,62.6,True,5742,55.1,0
+8040,47,Male,135,101,226,57,127,168,124,5.9,27.6,72,168,Asymptomatic,True,2.8,True,Former,9.0,216,5.8,29.1,True,8434,62.0,1
+8041,67,Female,156,106,228,59,130,144,175,7.4,31.0,91,147,Atypical Angina,True,0.6,False,Former,1.4,0,6.9,51.0,False,5275,37.8,1
+8042,63,Female,144,96,189,75,90,141,155,6.5,25.2,86,158,Asymptomatic,False,0.4,False,Never,6.4,142,6.9,82.6,True,12540,72.4,0
+8043,54,Female,118,75,186,82,93,106,83,4.0,15.3,66,186,Asymptomatic,False,0.6,False,Former,0.5,170,9.4,32.4,True,8002,82.0,0
+8044,54,Female,162,101,188,44,110,150,129,6.5,33.1,95,160,Asymptomatic,False,1.0,False,Never,13.3,93,3.9,63.6,False,3442,72.8,1
+8045,53,Male,124,76,151,59,55,150,92,5.4,17.1,74,168,Asymptomatic,False,0.2,False,Never,17.0,125,7.4,32.1,True,8417,66.5,0
+8046,38,Female,116,75,215,63,117,187,152,6.9,30.3,77,179,Atypical Angina,False,0.7,False,Never,11.0,205,7.3,70.9,True,7629,71.7,0
+8047,70,Male,136,89,231,58,131,162,145,6.9,20.7,69,146,Asymptomatic,True,1.8,False,Former,15.3,200,7.7,12.5,False,3681,39.8,1
+8048,61,Male,115,71,136,30,69,160,114,5.5,25.0,68,161,Non-Anginal Pain,False,0.6,False,Former,1.7,163,6.9,11.4,False,5545,72.8,0
+8049,30,Male,147,86,192,58,111,130,84,5.0,22.2,72,190,Asymptomatic,False,0.6,True,Never,4.5,208,8.8,46.7,False,7883,68.6,0
+8050,67,Female,143,97,190,58,104,117,117,5.7,22.1,73,153,Non-Anginal Pain,True,1.5,False,Former,2.9,156,5.0,64.1,False,4577,40.8,1
+8051,36,Male,116,75,178,62,88,214,132,5.6,21.8,80,199,Asymptomatic,False,0.4,False,Never,2.5,73,3.8,41.2,False,3720,60.4,0
+8052,63,Male,117,80,209,56,119,148,141,6.7,27.6,76,160,Asymptomatic,False,1.4,True,Never,3.1,169,6.5,34.1,True,7211,56.8,0
+8053,36,Male,148,89,181,40,101,222,134,6.6,28.7,86,176,Typical Angina,False,3.9,False,Never,4.3,198,8.2,65.0,False,8053,44.3,1
+8054,80,Male,146,88,224,60,145,58,60,4.2,24.0,81,122,Atypical Angina,False,0.3,False,Current,8.6,214,4.9,30.4,True,4809,42.8,1
+8055,70,Female,147,97,204,74,98,162,155,6.5,25.8,86,156,Non-Anginal Pain,False,1.1,True,Former,7.5,147,8.4,60.6,False,2333,80.0,0
+8056,67,Female,109,73,194,26,126,157,90,5.0,25.1,76,130,Atypical Angina,True,1.0,False,Never,15.1,126,5.0,12.2,False,6909,41.7,1
+8057,63,Male,117,81,177,55,98,90,115,5.3,29.5,69,175,Asymptomatic,True,0.5,True,Never,3.3,135,4.4,14.4,False,3306,72.6,0
+8058,38,Male,98,66,145,63,66,139,118,5.6,23.5,86,186,Non-Anginal Pain,False,0.6,False,Never,3.3,96,7.7,49.4,False,6299,51.1,0
+8059,40,Male,110,73,184,69,90,144,124,5.7,22.4,67,172,Non-Anginal Pain,False,0.4,False,Never,9.3,188,7.0,63.1,False,5309,82.3,0
+8060,72,Female,134,97,132,48,61,171,167,6.8,22.3,85,152,Asymptomatic,False,0.4,True,Current,2.6,104,8.6,19.9,False,5798,57.6,0
+8061,61,Male,141,76,254,53,152,200,77,5.3,23.3,75,160,Asymptomatic,False,1.8,False,Never,1.9,35,6.8,39.3,False,2512,32.8,0
+8062,60,Male,135,82,239,70,141,182,105,5.5,20.5,75,170,Atypical Angina,True,0.5,False,Current,6.2,92,8.5,46.5,False,3971,55.5,0
+8063,43,Male,115,67,161,41,67,284,127,6.2,29.7,87,196,Asymptomatic,False,0.4,False,Never,10.0,201,5.9,43.6,False,5731,48.3,0
+8064,47,Male,116,72,190,37,87,272,157,6.7,27.6,78,168,Non-Anginal Pain,True,1.3,False,Never,28.2,11,6.9,46.4,False,7147,60.4,1
+8065,49,Male,114,76,243,73,104,251,112,6.1,22.8,55,187,Asymptomatic,False,0.2,False,Never,2.4,245,8.1,15.9,True,6179,64.3,0
+8066,61,Male,127,92,221,55,131,75,139,6.5,25.1,75,148,Non-Anginal Pain,False,1.4,False,Former,11.0,140,7.3,41.6,True,5123,41.1,1
+8067,70,Male,127,67,145,34,100,104,119,6.6,19.7,84,135,Asymptomatic,False,0.6,True,Never,4.2,0,6.5,36.9,False,2572,71.4,1
+8068,81,Female,151,88,211,60,114,148,129,6.0,27.1,87,126,Asymptomatic,False,0.6,False,Current,9.4,6,8.9,68.0,False,4997,66.1,0
+8069,54,Female,117,75,222,65,146,86,116,6.3,26.0,75,172,Non-Anginal Pain,False,1.2,False,Never,0.4,236,6.1,43.3,True,5444,79.1,0
+8070,58,Male,122,76,188,49,101,199,124,5.9,21.6,85,157,Asymptomatic,False,2.3,True,Former,6.1,93,6.9,50.6,False,7946,52.0,1
+8071,45,Female,127,83,187,59,89,160,149,6.1,34.0,88,160,Asymptomatic,True,2.8,False,Never,0.8,93,7.3,42.4,False,4058,77.8,1
+8072,27,Female,128,73,161,46,79,246,127,5.7,24.6,62,197,Asymptomatic,True,0.6,True,Former,2.8,141,5.6,61.0,False,4048,18.9,0
+8073,63,Female,123,77,269,85,161,169,75,4.7,19.6,69,160,Asymptomatic,False,0.9,False,Never,5.6,216,8.0,47.9,True,6353,55.4,0
+8074,32,Female,115,76,183,72,102,74,139,6.4,24.5,87,191,Typical Angina,False,0.3,False,Former,8.6,132,8.6,43.6,True,7473,63.4,0
+8075,48,Male,147,82,148,29,78,246,165,7.1,30.3,75,181,Non-Anginal Pain,False,0.9,False,Never,2.8,36,9.7,51.1,False,7050,28.5,0
+8076,55,Female,130,74,180,66,91,151,105,5.5,26.6,72,176,Asymptomatic,False,1.5,False,Never,1.6,111,7.1,43.6,True,4828,66.3,0
+8077,61,Male,130,78,174,64,74,208,74,4.2,19.7,91,151,Asymptomatic,False,0.1,False,Former,4.2,170,7.7,37.6,False,5665,80.5,0
+8078,53,Male,117,73,208,65,108,144,111,4.9,24.2,69,197,Non-Anginal Pain,False,0.4,False,Former,1.8,72,6.8,39.9,False,4944,46.8,0
+8079,66,Male,148,96,203,28,147,139,168,7.1,19.6,77,160,Asymptomatic,False,1.3,False,Current,5.5,42,6.8,57.1,False,2544,51.4,0
+8080,68,Female,124,92,196,50,122,109,134,6.3,25.3,79,146,Typical Angina,False,1.7,False,Current,5.0,167,7.0,30.3,True,5118,63.6,1
+8081,47,Female,136,82,200,47,124,148,105,5.5,32.6,88,171,Asymptomatic,False,0.2,False,Current,0.5,0,7.5,49.1,False,6282,52.1,0
+8082,40,Female,117,77,184,58,76,208,150,6.4,30.9,90,203,Atypical Angina,False,0.5,False,Current,0.5,123,6.3,63.0,False,6905,67.3,0
+8083,60,Male,145,94,230,71,122,130,111,5.6,27.9,87,153,Non-Anginal Pain,False,0.6,False,Never,10.5,144,5.1,45.7,False,5251,60.2,0
+8084,57,Female,128,73,211,58,130,130,101,5.0,27.1,90,145,Atypical Angina,True,1.6,False,Never,5.0,168,8.2,71.0,True,8400,47.3,1
+8085,57,Female,105,70,192,54,87,244,106,5.6,33.1,84,158,Asymptomatic,False,0.1,True,Never,0.9,57,6.4,60.7,True,6857,41.1,1
+8086,61,Female,132,69,221,53,110,277,113,5.7,28.4,86,168,Non-Anginal Pain,False,1.0,False,Current,1.6,194,6.1,61.1,False,6661,42.1,1
+8087,33,Female,116,73,171,67,88,139,94,5.3,20.6,69,194,Typical Angina,False,1.4,True,Never,13.9,195,6.0,36.2,False,9701,75.2,0
+8088,50,Male,115,74,223,68,96,223,100,5.6,21.7,76,171,Non-Anginal Pain,True,1.1,True,Never,2.5,158,5.9,35.7,True,4880,65.6,0
+8089,76,Female,132,74,181,57,107,169,120,5.7,29.5,67,118,Asymptomatic,False,0.8,True,Current,0.5,198,7.3,47.5,True,7336,57.0,1
+8090,48,Male,120,73,192,59,105,103,131,6.0,28.9,74,176,Typical Angina,False,0.5,False,Former,3.1,167,6.4,42.8,True,7953,71.5,0
+8091,60,Female,120,73,208,47,131,100,140,6.2,26.8,72,163,Non-Anginal Pain,False,0.4,False,Current,11.7,188,9.0,48.6,True,10093,60.1,0
+8092,45,Male,135,71,125,31,62,180,127,6.3,23.8,79,173,Atypical Angina,True,4.2,False,Former,3.6,142,6.6,30.8,True,8387,48.8,1
+8093,68,Female,138,84,224,64,117,185,84,5.1,25.3,76,159,Asymptomatic,False,0.7,False,Never,0.2,111,7.2,20.9,True,7182,37.2,0
+8094,56,Male,113,72,225,61,148,92,95,4.6,26.8,82,157,Typical Angina,True,1.5,False,Former,6.4,219,6.4,35.1,False,7691,70.3,1
+8095,42,Female,121,72,223,65,121,181,130,5.5,26.6,89,186,Non-Anginal Pain,False,1.6,False,Current,1.9,211,9.1,65.6,True,9798,40.9,0
+8096,76,Male,127,72,190,53,88,197,167,7.8,27.4,81,138,Asymptomatic,True,0.4,False,Never,3.1,178,6.0,4.8,True,6996,58.7,1
+8097,20,Female,96,57,181,71,83,107,147,5.7,19.5,70,210,Asymptomatic,True,0.3,False,Never,0.6,162,7.3,39.3,False,8103,54.8,0
+8098,42,Male,101,61,169,51,77,205,116,5.7,19.8,82,184,Asymptomatic,False,0.3,False,Former,3.5,151,8.1,64.2,True,4844,66.2,0
+8099,66,Female,136,81,191,48,122,118,113,5.4,19.7,80,160,Asymptomatic,True,0.1,True,Former,4.5,120,8.8,20.3,False,5676,31.2,0
+8100,40,Male,117,68,173,39,104,171,150,6.7,25.2,75,178,Non-Anginal Pain,False,0.4,False,Never,9.9,119,7.4,36.8,True,6388,61.6,0
+8101,37,Male,107,58,132,56,35,150,75,4.1,20.8,58,188,Atypical Angina,False,0.6,False,Never,2.6,166,6.8,47.7,True,6798,65.4,0
+8102,35,Male,130,84,184,45,122,157,99,5.4,26.5,77,195,Asymptomatic,True,0.9,True,Current,10.2,172,8.5,69.0,True,10864,47.9,0
+8103,47,Female,114,64,240,65,120,233,142,6.0,28.0,75,191,Asymptomatic,False,0.8,False,Former,2.1,147,5.4,28.9,False,6292,51.5,0
+8104,55,Female,125,73,222,73,104,199,109,5.6,18.2,94,162,Atypical Angina,False,0.6,False,Never,6.4,146,8.8,59.8,True,5928,58.2,0
+8105,36,Male,130,72,216,68,104,197,99,5.1,27.3,85,197,Atypical Angina,False,0.1,True,Current,30.2,89,7.3,51.2,True,6637,59.5,0
+8106,59,Male,137,78,199,56,99,191,131,6.2,28.5,71,172,Non-Anginal Pain,True,0.8,False,Never,5.6,299,6.7,17.3,True,9308,87.8,0
+8107,60,Male,142,87,138,52,73,72,91,5.6,19.6,77,167,Asymptomatic,True,4.4,True,Current,2.1,165,7.7,44.0,True,3522,52.0,1
+8108,62,Male,117,83,187,40,105,159,150,7.1,24.4,80,147,Asymptomatic,True,0.4,False,Never,3.4,62,9.2,73.0,False,4380,51.8,0
+8109,39,Female,132,74,128,58,54,122,138,6.8,31.6,80,195,Atypical Angina,True,0.6,False,Former,4.0,180,5.4,41.9,True,7518,66.2,0
+8110,59,Male,126,81,192,57,88,155,92,5.0,24.9,85,163,Atypical Angina,False,0.6,False,Former,2.0,141,6.5,63.4,False,5440,59.7,0
+8111,41,Female,107,70,209,75,103,176,90,5.0,24.2,82,192,Asymptomatic,False,1.8,True,Never,8.6,242,5.3,83.3,True,6854,65.9,0
+8112,53,Male,117,74,167,40,113,129,134,5.5,27.5,73,147,Asymptomatic,False,1.2,False,Never,2.1,88,6.9,47.0,False,5546,65.8,1
+8113,57,Female,130,74,219,62,123,138,105,5.5,24.4,95,159,Atypical Angina,False,2.4,True,Former,0.9,156,6.1,31.3,False,6436,49.5,0
+8114,77,Male,158,107,147,38,81,122,124,6.5,16.2,76,143,Typical Angina,True,0.8,True,Never,3.6,139,8.0,48.5,False,5564,36.4,1
+8115,69,Female,133,84,155,55,58,201,107,5.1,21.7,85,147,Atypical Angina,False,0.2,True,Current,19.9,283,5.3,47.5,True,9966,78.5,0
+8116,64,Male,129,74,172,37,104,100,102,5.8,22.9,84,162,Non-Anginal Pain,False,0.6,False,Current,7.9,176,8.4,51.3,True,5355,36.4,0
+8117,74,Female,153,94,166,64,69,186,165,7.0,28.0,77,145,Non-Anginal Pain,True,1.9,False,Former,5.0,202,6.2,53.2,True,6485,39.6,1
+8118,42,Male,122,84,99,57,35,40,129,5.8,18.1,77,181,Asymptomatic,False,2.1,False,Former,17.7,201,6.8,32.1,False,3286,81.7,0
+8119,44,Male,122,75,170,47,98,126,86,4.7,22.8,86,196,Typical Angina,False,1.5,False,Never,2.1,200,7.0,50.4,True,4941,54.5,0
+8120,55,Male,135,89,214,55,113,198,142,6.5,24.0,76,182,Asymptomatic,False,0.9,False,Never,14.3,169,5.3,46.5,True,7824,42.0,0
+8121,68,Male,134,92,187,56,104,158,84,5.2,19.5,79,150,Asymptomatic,False,0.1,False,Former,38.1,153,9.1,27.7,True,7760,78.8,0
+8122,62,Female,154,94,216,73,117,155,106,6.0,23.8,81,166,Asymptomatic,False,1.3,False,Never,2.4,112,6.8,56.2,False,6319,46.7,0
+8123,57,Female,138,82,210,61,124,219,118,5.4,28.1,80,182,Non-Anginal Pain,False,0.2,False,Current,11.5,142,8.1,40.0,True,6490,69.9,0
+8124,74,Male,117,69,177,56,80,235,132,6.1,29.2,83,127,Non-Anginal Pain,False,1.8,False,Current,5.0,35,7.6,26.9,False,3808,40.5,1
+8125,61,Male,145,76,204,56,125,170,137,5.6,27.5,96,166,Asymptomatic,False,0.6,False,Current,12.4,74,6.5,68.5,False,3159,41.8,0
+8126,56,Female,145,78,198,84,89,145,173,7.1,28.3,69,191,Atypical Angina,True,1.1,False,Never,0.3,262,5.8,23.2,False,5059,68.6,0
+8127,49,Male,131,70,172,61,80,121,115,5.8,22.2,78,165,Asymptomatic,False,0.2,False,Never,6.6,113,6.7,70.9,False,4898,74.0,0
+8128,66,Male,140,97,185,75,78,176,115,6.5,26.9,65,141,Non-Anginal Pain,True,1.7,True,Former,7.2,208,5.1,36.0,True,6430,74.2,1
+8129,42,Male,126,83,210,75,87,200,123,6.3,18.8,71,148,Atypical Angina,False,1.0,False,Former,5.9,207,5.3,59.0,False,3509,58.2,1
+8130,63,Male,135,88,229,64,121,172,104,5.2,23.1,76,151,Asymptomatic,False,0.2,False,Never,8.6,177,7.8,9.4,False,6050,83.9,0
+8131,64,Male,135,98,114,29,55,95,135,6.0,25.4,88,142,Non-Anginal Pain,False,1.7,True,Never,2.4,64,5.4,40.9,True,8718,79.1,1
+8132,58,Female,143,96,290,67,183,179,78,4.7,29.0,81,133,Atypical Angina,False,0.3,True,Current,5.2,110,8.5,40.4,False,3463,57.7,1
+8133,70,Female,144,87,246,71,129,231,124,6.0,23.0,81,159,Typical Angina,False,0.6,False,Former,12.2,143,8.4,75.5,False,6315,71.3,0
+8134,78,Female,135,80,203,69,102,137,106,5.6,22.0,86,137,Non-Anginal Pain,False,1.0,False,Former,9.0,85,6.8,43.9,False,6791,63.7,1
+8135,43,Female,109,61,198,74,98,161,122,5.7,19.8,82,178,Atypical Angina,False,1.1,False,Never,9.9,279,7.7,47.4,True,8603,73.3,0
+8136,63,Male,104,75,258,81,133,199,109,5.6,27.1,86,148,Asymptomatic,False,0.6,False,Former,4.0,186,8.4,51.6,False,4541,49.9,1
+8137,45,Male,128,86,199,49,108,131,89,5.0,18.6,70,160,Asymptomatic,False,0.2,True,Current,2.3,184,7.4,43.3,True,7763,32.8,1
+8138,59,Male,147,80,179,49,93,198,97,5.3,28.8,83,167,Asymptomatic,False,0.4,False,Current,9.2,229,8.2,38.6,True,8310,53.0,0
+8139,50,Female,115,59,161,58,87,113,122,6.5,29.9,81,188,Asymptomatic,True,1.0,False,Former,8.7,116,7.2,49.1,True,4178,65.5,0
+8140,47,Female,118,74,212,83,75,249,102,5.0,20.4,69,171,Asymptomatic,False,0.8,False,Never,31.3,199,5.1,35.0,True,3171,67.1,0
+8141,51,Female,132,85,227,52,146,215,123,6.0,37.8,81,183,Asymptomatic,False,0.4,False,Never,1.1,0,6.0,35.8,False,6628,51.7,0
+8142,62,Male,125,75,183,48,98,223,116,5.4,24.2,70,160,Asymptomatic,False,1.3,False,Former,7.0,75,8.1,35.6,False,3816,61.2,1
+8143,57,Male,156,95,240,48,148,182,132,5.8,32.7,82,141,Typical Angina,True,0.8,False,Former,9.8,105,4.2,36.7,True,8870,62.4,1
+8144,53,Male,122,67,137,33,77,191,89,5.2,33.4,85,159,Atypical Angina,True,0.8,False,Former,5.9,201,5.6,54.6,False,6556,59.9,1
+8145,70,Female,129,76,223,68,126,91,116,5.4,27.9,84,147,Asymptomatic,True,0.5,True,Never,0.7,111,6.0,75.6,True,5000,53.7,0
+8146,70,Male,144,102,176,54,87,167,121,5.8,26.9,83,165,Asymptomatic,False,0.6,False,Former,10.4,34,7.7,47.1,True,4959,37.3,0
+8147,57,Female,123,72,204,46,132,137,135,5.9,26.8,90,154,Typical Angina,False,0.4,True,Never,5.0,111,5.9,50.7,False,8546,61.2,0
+8148,35,Female,130,81,185,63,74,160,120,5.5,33.8,80,175,Asymptomatic,True,1.3,True,Never,2.0,165,8.4,57.6,True,8617,63.0,0
+8149,23,Male,126,86,210,86,102,148,98,5.7,20.3,71,195,Typical Angina,False,1.0,True,Former,1.8,114,6.3,51.8,False,3131,65.8,0
+8150,50,Female,120,80,167,65,56,176,136,6.6,24.0,72,158,Asymptomatic,True,2.4,False,Never,2.0,104,6.1,39.5,False,5181,52.8,1
+8151,63,Male,109,77,160,53,94,61,131,5.9,18.6,79,157,Asymptomatic,False,0.9,False,Never,9.1,116,6.4,45.9,False,4601,50.2,0
+8152,40,Male,109,80,248,61,138,235,100,5.1,30.8,90,171,Typical Angina,False,1.5,False,Former,9.8,134,6.5,86.9,False,5318,51.9,1
+8153,70,Female,142,96,185,30,95,233,145,6.7,39.5,82,145,Non-Anginal Pain,True,2.2,False,Never,7.1,84,5.6,67.0,True,8002,61.4,1
+8154,43,Male,117,72,194,66,90,203,123,6.3,24.8,72,169,Atypical Angina,False,1.5,True,Former,3.8,191,8.7,22.4,False,6709,85.0,1
+8155,72,Female,137,82,223,49,118,249,105,5.1,19.6,86,124,Asymptomatic,False,1.5,True,Never,4.1,105,6.3,32.3,True,4035,34.1,1
+8156,71,Female,147,92,184,56,84,172,86,5.2,26.7,85,146,Non-Anginal Pain,False,0.9,False,Never,0.7,46,5.9,52.4,False,2667,39.1,0
+8157,65,Female,122,66,175,65,81,132,139,6.2,17.3,79,143,Non-Anginal Pain,True,1.1,False,Current,6.1,182,5.5,26.1,True,5347,45.1,1
+8158,44,Male,131,75,155,59,70,179,141,6.4,23.3,97,161,Atypical Angina,False,1.3,False,Current,9.5,88,7.4,76.2,False,4150,46.6,0
+8159,75,Male,151,103,187,47,118,112,86,4.7,25.8,80,134,Non-Anginal Pain,True,1.5,False,Never,5.3,52,5.5,52.3,True,7068,50.8,1
+8160,53,Female,132,97,211,65,129,109,137,6.6,25.0,75,185,Asymptomatic,False,0.3,False,Never,3.1,204,7.2,48.7,True,7177,43.7,0
+8161,53,Male,109,63,158,55,77,176,160,7.7,26.7,86,193,Asymptomatic,False,0.5,False,Former,2.0,98,7.2,33.9,True,6310,64.3,0
+8162,55,Male,129,75,212,60,131,180,140,6.4,24.9,69,152,Non-Anginal Pain,True,0.8,False,Former,3.9,184,6.7,66.3,True,8027,61.6,1
+8163,36,Male,112,70,203,38,127,185,96,5.2,20.2,75,207,Asymptomatic,False,1.5,False,Never,8.3,179,6.3,50.1,False,5969,35.2,0
+8164,64,Female,129,79,200,79,87,178,148,6.9,23.7,78,156,Asymptomatic,False,0.9,False,Never,1.7,69,5.5,59.7,False,6667,65.6,1
+8165,71,Male,123,73,153,39,83,135,152,6.7,17.7,79,147,Asymptomatic,True,1.0,False,Current,7.8,133,7.7,29.6,False,2310,73.8,1
+8166,66,Female,124,77,258,50,163,199,101,5.1,27.3,75,146,Non-Anginal Pain,True,2.4,True,Current,1.4,161,7.2,65.7,True,5210,75.6,1
+8167,51,Male,143,90,198,59,100,159,110,5.4,24.1,71,182,Asymptomatic,False,0.5,False,Current,11.1,194,5.7,63.7,True,7101,67.2,0
+8168,46,Female,110,63,218,53,125,217,139,6.4,20.6,78,178,Asymptomatic,True,1.0,True,Never,16.2,146,6.7,20.5,False,3376,59.7,0
+8169,47,Male,114,65,192,44,105,143,86,4.5,24.2,88,176,Non-Anginal Pain,False,0.4,False,Never,1.8,100,8.5,21.0,False,7102,45.5,0
+8170,74,Male,144,90,162,52,77,178,160,6.6,21.5,87,141,Non-Anginal Pain,True,0.8,True,Never,10.7,117,5.5,45.6,False,500,57.9,1
+8171,69,Male,114,72,172,68,78,151,101,5.0,18.9,77,147,Asymptomatic,False,0.4,True,Former,4.5,74,7.3,46.2,False,5028,74.9,0
+8172,52,Male,143,97,150,49,63,176,136,6.0,23.9,77,170,Asymptomatic,False,0.3,False,Former,13.6,127,6.3,48.0,True,6942,50.8,0
+8173,47,Female,124,73,192,52,118,157,96,4.7,23.0,88,177,Asymptomatic,True,0.0,True,Current,3.0,162,6.6,34.2,False,6513,32.1,0
+8174,38,Male,122,86,167,67,78,98,122,6.3,25.8,75,149,Asymptomatic,False,0.4,True,Former,1.7,188,6.8,48.2,True,7240,49.8,0
+8175,50,Male,120,76,228,54,120,254,102,4.8,24.9,56,158,Non-Anginal Pain,False,0.4,False,Never,5.9,148,7.4,47.6,False,6564,65.5,0
+8176,47,Male,129,83,163,65,75,152,91,5.2,21.0,81,181,Asymptomatic,False,0.4,True,Former,13.8,117,6.9,57.1,False,5732,69.8,0
+8177,72,Male,143,87,204,49,118,269,120,5.9,34.2,79,135,Non-Anginal Pain,True,0.6,True,Current,6.9,146,6.6,71.6,False,4718,53.2,1
+8178,33,Male,122,70,161,48,81,84,136,5.7,18.4,72,186,Asymptomatic,False,0.3,False,Never,2.3,175,8.1,57.7,True,3047,52.0,0
+8179,54,Female,138,92,145,85,37,120,107,5.1,21.3,85,157,Typical Angina,False,1.7,False,Never,4.5,150,5.2,40.8,False,5062,82.5,0
+8180,75,Male,142,82,198,40,128,114,142,7.0,38.0,88,102,Non-Anginal Pain,False,4.1,False,Never,3.0,68,8.1,43.7,False,6086,51.4,1
+8181,55,Male,108,50,165,44,78,231,114,5.6,24.0,88,172,Atypical Angina,False,3.3,True,Never,30.1,84,8.7,74.1,True,5562,65.6,1
+8182,50,Female,122,87,178,61,92,136,136,6.3,28.4,88,144,Typical Angina,True,0.5,False,Former,3.1,66,5.1,47.3,True,8450,43.9,1
+8183,32,Female,158,100,183,54,121,49,77,5.2,28.4,81,194,Asymptomatic,False,0.7,False,Never,7.6,125,8.0,38.2,False,5543,57.7,0
+8184,67,Female,115,68,189,31,138,108,106,5.4,32.8,102,140,Atypical Angina,False,1.9,False,Current,3.0,44,7.2,71.8,False,5277,47.0,1
+8185,52,Female,122,69,260,43,193,118,143,6.8,26.6,91,164,Asymptomatic,False,2.5,False,Current,3.4,134,8.8,25.5,True,3175,43.8,1
+8186,45,Male,136,88,166,29,91,232,102,5.1,35.0,84,173,Non-Anginal Pain,False,2.3,False,Former,1.8,112,6.1,46.3,False,5860,61.6,0
+8187,66,Male,132,82,213,47,108,218,125,5.7,33.6,96,140,Asymptomatic,True,1.4,False,Never,6.7,0,7.2,71.8,False,5153,59.7,1
+8188,53,Male,139,94,184,57,104,73,132,6.6,22.4,89,146,Asymptomatic,True,2.6,True,Current,4.9,146,6.7,75.3,False,5577,87.6,1
+8189,36,Male,114,76,180,57,88,141,132,5.8,23.4,77,175,Typical Angina,False,1.2,True,Never,6.6,147,6.7,54.8,False,4477,18.8,0
+8190,60,Female,111,87,198,46,122,193,112,5.4,24.2,83,157,Asymptomatic,False,1.7,False,Former,16.4,68,6.4,40.7,True,3904,57.2,0
+8191,67,Female,154,93,188,67,105,121,131,6.0,21.8,79,168,Atypical Angina,False,0.1,False,Never,6.7,155,7.3,25.9,False,3983,86.6,0
+8192,46,Male,126,78,207,38,137,130,128,5.5,31.3,84,184,Typical Angina,False,0.2,False,Former,3.0,47,8.6,53.8,False,3902,63.0,0
+8193,78,Female,143,83,163,44,81,168,104,5.5,27.9,85,137,Asymptomatic,False,2.1,True,Never,7.4,63,6.7,54.8,True,8991,36.4,0
+8194,40,Female,112,64,190,58,94,184,100,5.6,21.0,85,203,Typical Angina,False,0.7,True,Current,13.9,136,7.7,54.4,True,8774,71.8,0
+8195,81,Male,133,84,229,56,132,177,124,6.5,30.0,87,157,Asymptomatic,False,0.0,False,Never,12.8,232,8.0,34.5,True,10222,67.0,0
+8196,50,Male,126,65,189,67,115,108,144,5.6,24.1,74,193,Atypical Angina,False,0.1,True,Never,6.1,154,6.8,33.6,True,6779,47.1,0
+8197,82,Male,137,85,173,54,88,209,147,6.6,26.9,90,114,Asymptomatic,True,0.8,False,Former,4.2,151,7.9,52.9,True,6006,57.4,1
+8198,57,Male,149,91,220,45,149,123,117,5.8,32.8,94,146,Asymptomatic,True,2.7,True,Current,2.6,107,7.6,33.7,False,3112,46.9,1
+8199,52,Male,122,79,164,61,69,116,121,6.5,28.0,89,156,Asymptomatic,False,0.1,False,Never,7.9,163,7.2,82.8,True,7420,49.3,0
+8200,42,Female,139,91,178,57,74,204,129,6.2,31.7,94,175,Asymptomatic,False,0.4,False,Never,3.9,97,7.6,39.8,False,9659,75.4,0
+8201,48,Female,123,78,137,38,66,196,150,6.1,27.8,81,166,Asymptomatic,False,0.3,False,Never,12.2,27,6.9,34.1,False,4910,27.0,0
+8202,36,Female,127,76,169,69,77,107,113,5.3,17.4,81,186,Typical Angina,False,0.1,True,Never,7.3,236,7.6,54.8,False,9926,71.2,0
+8203,46,Male,120,81,168,50,87,150,160,6.5,26.3,87,157,Asymptomatic,False,1.7,True,Current,10.0,137,7.6,49.1,False,4027,58.8,1
+8204,71,Female,120,70,204,63,116,95,102,5.1,23.5,91,153,Atypical Angina,False,0.4,False,Former,4.1,165,8.5,63.8,False,5135,70.1,0
+8205,44,Female,116,72,216,81,98,172,78,4.4,22.7,71,163,Asymptomatic,False,1.1,False,Never,2.5,113,6.4,19.9,False,4906,52.6,0
+8206,71,Female,157,95,146,41,89,111,108,5.8,27.2,77,116,Asymptomatic,True,0.5,True,Never,13.5,15,8.3,59.4,False,3779,69.0,1
+8207,52,Male,115,75,217,47,140,144,114,5.6,20.0,87,153,Asymptomatic,False,6.5,False,Current,5.9,220,6.8,50.1,False,6629,40.6,1
+8208,56,Male,140,105,230,64,138,123,97,5.3,21.0,73,179,Non-Anginal Pain,False,0.5,False,Former,5.4,263,5.7,36.8,True,11222,84.6,0
+8209,56,Male,120,66,199,57,110,143,143,5.8,25.5,89,182,Non-Anginal Pain,False,0.3,False,Never,3.7,82,8.5,77.3,True,7271,55.1,0
+8210,45,Female,121,85,198,76,87,150,109,5.7,19.7,81,187,Non-Anginal Pain,True,0.6,True,Current,7.7,172,5.3,17.8,True,8850,42.0,0
+8211,68,Male,146,93,223,46,125,244,117,4.9,28.7,62,130,Atypical Angina,False,0.7,True,Never,16.5,38,7.3,23.9,False,2973,59.5,0
+8212,49,Male,134,73,187,58,93,176,122,5.6,21.2,87,148,Asymptomatic,True,2.8,True,Current,1.8,155,6.1,40.2,False,5335,53.8,1
+8213,45,Female,113,57,194,58,88,191,154,7.5,30.8,73,149,Non-Anginal Pain,True,0.1,False,Former,6.7,199,7.0,66.2,True,8363,61.6,1
+8214,72,Male,140,81,263,70,147,174,139,6.3,24.5,73,136,Typical Angina,True,0.6,False,Former,8.1,45,6.6,25.9,False,4637,65.6,1
+8215,48,Male,136,83,218,69,111,206,92,4.5,25.7,95,178,Non-Anginal Pain,False,1.7,False,Never,10.6,127,6.5,65.7,True,3544,58.4,0
+8216,39,Male,114,71,180,30,119,185,103,5.8,28.6,74,194,Asymptomatic,False,0.2,False,Never,19.3,171,5.7,43.7,True,4968,45.2,0
+8217,48,Male,126,74,185,44,108,98,122,5.6,25.7,94,185,Asymptomatic,False,0.9,True,Never,9.1,90,5.4,53.7,False,5410,64.4,0
+8218,63,Female,123,78,186,53,92,214,149,6.5,30.3,79,146,Non-Anginal Pain,False,1.7,False,Former,0.2,50,8.8,37.4,False,3122,62.5,1
+8219,49,Male,138,83,248,52,127,351,148,7.2,35.6,92,170,Asymptomatic,False,0.4,False,Current,45.9,120,7.8,40.0,False,2121,39.7,1
+8220,58,Female,131,89,183,60,112,171,140,6.4,26.3,74,171,Non-Anginal Pain,False,0.1,True,Former,3.8,156,6.9,55.2,False,3914,64.7,0
+8221,63,Male,124,80,178,53,72,194,159,6.0,29.1,79,156,Asymptomatic,False,0.7,False,Never,6.7,153,7.4,34.4,False,3432,39.0,0
+8222,67,Female,116,76,196,50,112,204,142,6.3,29.2,79,144,Asymptomatic,False,1.5,False,Never,5.9,87,5.7,25.2,False,1897,36.4,0
+8223,75,Male,144,91,169,39,98,147,151,6.7,30.1,83,136,Asymptomatic,True,1.2,False,Never,2.8,7,6.5,51.7,True,4650,70.4,1
+8224,70,Female,146,93,181,51,96,142,135,6.2,35.7,81,129,Non-Anginal Pain,False,1.0,False,Former,0.3,105,4.4,60.6,True,4131,60.1,1
+8225,59,Male,142,86,184,64,90,178,112,5.4,25.4,88,179,Asymptomatic,True,1.7,True,Never,5.1,155,5.9,50.5,False,4984,62.2,1
+8226,45,Male,123,86,242,58,157,166,111,5.5,29.5,88,175,Atypical Angina,False,0.8,False,Never,2.7,28,5.4,31.5,False,4339,55.4,0
+8227,53,Male,132,79,222,52,153,90,153,6.9,22.8,82,147,Asymptomatic,False,3.5,False,Never,5.9,196,5.7,68.4,True,8506,48.7,1
+8228,39,Female,123,77,235,96,109,198,137,6.3,26.8,62,169,Asymptomatic,False,0.2,True,Former,10.6,263,6.2,61.1,True,8556,58.0,0
+8229,47,Male,113,75,154,56,89,144,106,5.6,28.8,82,176,Atypical Angina,False,0.1,False,Never,7.6,98,7.9,28.8,False,4221,70.7,0
+8230,65,Male,126,95,129,50,63,150,108,5.3,25.1,68,144,Atypical Angina,False,0.0,False,Former,3.0,153,7.7,24.3,True,5841,71.7,0
+8231,57,Male,113,73,195,74,111,102,115,5.5,19.8,87,169,Asymptomatic,False,0.6,False,Never,5.9,154,6.9,52.8,True,11889,81.3,0
+8232,47,Male,133,91,169,66,64,176,124,6.4,25.6,81,194,Asymptomatic,False,0.1,False,Former,10.8,130,8.7,61.5,True,7810,51.6,0
+8233,57,Female,118,73,231,59,124,131,89,4.7,26.1,61,171,Asymptomatic,False,1.3,False,Never,3.6,156,6.6,68.9,False,3857,58.3,0
+8234,42,Male,111,68,143,47,72,198,69,4.3,25.1,69,184,Atypical Angina,True,5.4,False,Current,13.6,188,5.7,37.5,True,4032,66.5,1
+8235,67,Male,162,98,164,40,96,180,111,5.8,27.2,75,149,Asymptomatic,True,0.4,False,Never,2.6,65,7.7,100.0,False,5039,89.8,1
+8236,53,Male,134,73,167,63,82,131,104,5.1,18.0,90,152,Asymptomatic,False,1.1,False,Never,5.3,133,5.2,80.4,False,2275,73.3,0
+8237,78,Female,161,109,257,44,165,196,145,6.6,30.0,67,107,Typical Angina,False,2.3,False,Never,0.2,20,7.1,51.8,False,3840,21.9,1
+8238,40,Female,133,90,159,65,77,104,145,6.1,23.2,73,185,Typical Angina,False,0.5,False,Former,5.8,174,6.4,28.0,True,7473,74.7,0
+8239,43,Female,130,91,152,73,35,211,91,5.3,29.0,74,190,Asymptomatic,True,0.2,False,Never,4.9,260,8.8,67.8,False,5790,55.3,0
+8240,48,Female,125,74,240,81,123,148,128,5.9,18.8,74,191,Asymptomatic,False,0.3,False,Never,2.2,172,5.5,36.4,False,5192,100.0,0
+8241,57,Male,106,56,225,54,136,132,111,5.8,17.8,79,175,Non-Anginal Pain,False,1.4,False,Never,4.1,147,7.0,73.1,False,4092,43.2,0
+8242,55,Female,163,87,234,61,137,109,130,6.0,26.2,89,168,Asymptomatic,False,0.5,False,Never,2.3,172,6.6,58.6,True,7291,65.6,0
+8243,53,Female,136,92,187,80,83,109,114,5.2,18.9,62,184,Asymptomatic,False,0.9,False,Never,27.3,251,6.9,40.9,True,4878,42.7,0
+8244,69,Male,123,80,183,37,99,197,104,5.0,28.4,84,179,Non-Anginal Pain,False,0.1,False,Current,4.9,37,6.3,20.1,False,4114,49.8,0
+8245,62,Female,118,68,159,60,65,149,111,5.9,24.2,69,160,Atypical Angina,False,1.7,False,Former,0.7,154,6.2,38.4,True,6409,57.1,1
+8246,37,Male,120,83,166,63,84,125,93,4.9,24.8,84,202,Asymptomatic,False,0.3,False,Never,7.6,195,8.4,60.9,True,8407,68.8,0
+8247,54,Male,131,69,152,51,53,233,136,6.3,19.7,83,162,Asymptomatic,False,0.2,False,Never,21.7,120,6.6,37.3,False,4410,59.5,0
+8248,34,Male,127,89,187,77,86,71,109,5.3,15.0,70,181,Asymptomatic,False,0.7,True,Current,3.4,294,7.3,32.5,True,10590,90.1,0
+8249,77,Male,138,87,205,46,121,207,130,6.7,29.6,81,149,Non-Anginal Pain,False,1.0,False,Current,3.0,121,7.0,25.9,False,4066,62.7,1
+8250,45,Female,127,78,212,48,121,144,76,5.2,33.7,85,184,Asymptomatic,False,0.1,False,Never,1.6,218,5.9,29.3,True,9547,48.1,0
+8251,61,Male,134,75,184,62,81,229,109,5.6,27.6,78,158,Asymptomatic,False,1.2,False,Never,2.6,143,7.3,43.2,False,8564,51.2,0
+8252,49,Female,128,86,204,60,126,131,143,6.8,27.3,81,169,Asymptomatic,False,0.5,False,Current,3.8,170,5.5,42.0,True,10934,33.6,0
+8253,48,Female,109,73,219,61,141,136,110,4.9,28.0,87,143,Asymptomatic,True,0.2,True,Never,0.5,122,6.3,35.1,True,6419,39.6,1
+8254,32,Female,115,77,142,45,67,225,126,5.7,28.7,80,206,Asymptomatic,True,0.5,True,Former,23.5,147,8.6,56.4,False,4931,53.8,0
+8255,50,Male,122,67,201,55,128,177,122,5.9,22.7,82,152,Typical Angina,False,1.2,False,Never,6.6,88,5.2,70.8,False,6568,42.6,1
+8256,52,Male,135,81,185,55,81,215,62,4.5,27.7,93,181,Non-Anginal Pain,False,0.9,False,Former,8.3,150,7.2,10.3,True,6129,55.4,0
+8257,59,Male,120,77,203,65,102,158,115,5.4,16.6,70,168,Typical Angina,False,0.9,False,Never,14.5,245,7.9,43.4,True,9365,58.5,0
+8258,70,Male,126,77,201,45,100,214,135,6.6,27.8,82,115,Typical Angina,False,0.2,False,Current,2.9,139,7.2,36.8,False,2815,50.4,1
+8259,74,Female,132,86,212,65,113,222,124,6.1,26.2,60,182,Atypical Angina,False,0.6,False,Never,10.7,186,7.6,68.3,True,7860,46.6,0
+8260,88,Male,159,104,209,38,107,338,115,6.3,29.1,98,107,Asymptomatic,False,0.7,False,Current,18.2,145,8.1,65.6,True,6255,47.9,1
+8261,30,Female,97,59,151,41,83,101,134,6.5,26.4,82,205,Asymptomatic,False,0.8,False,Never,4.3,149,5.7,47.7,False,6643,58.9,0
+8262,82,Male,147,98,251,59,163,75,101,5.5,29.0,79,120,Typical Angina,True,1.0,True,Former,3.1,164,7.8,58.4,False,3323,51.7,1
+8263,61,Male,137,78,212,49,124,139,157,6.3,29.0,76,164,Asymptomatic,False,1.7,False,Never,9.5,176,5.7,49.8,False,5026,57.8,0
+8264,62,Male,133,88,184,45,116,118,131,6.2,25.8,86,123,Typical Angina,True,2.3,False,Never,8.4,44,8.5,70.6,False,5880,44.2,1
+8265,52,Female,144,93,193,42,138,82,105,5.4,32.3,90,138,Atypical Angina,False,1.1,False,Former,0.3,0,6.5,67.9,False,500,42.7,1
+8266,55,Male,125,82,242,72,125,168,166,7.2,22.7,61,193,Typical Angina,False,1.3,True,Former,2.2,141,6.4,68.8,True,4354,68.3,0
+8267,63,Female,163,105,240,75,139,169,105,5.8,28.0,94,159,Asymptomatic,False,4.7,False,Never,3.3,0,8.8,90.5,False,5968,61.2,1
+8268,60,Male,154,94,113,64,40,106,135,6.7,15.2,76,160,Non-Anginal Pain,False,1.1,False,Current,11.8,200,7.1,27.2,True,8570,66.7,0
+8269,43,Male,153,84,140,65,64,57,128,5.9,27.2,91,166,Non-Anginal Pain,False,0.7,True,Former,1.8,28,6.6,77.7,False,5765,62.6,0
+8270,45,Female,125,76,163,49,120,35,91,5.2,25.6,85,178,Non-Anginal Pain,False,0.8,False,Never,4.8,146,8.0,57.9,True,7180,66.4,0
+8271,43,Female,97,68,206,59,111,156,105,5.4,26.3,82,181,Asymptomatic,False,0.1,True,Former,0.5,236,7.2,40.2,True,8013,41.7,0
+8272,47,Male,126,83,163,42,95,178,104,5.8,20.7,91,186,Atypical Angina,False,0.3,True,Never,4.7,110,7.1,62.9,True,6492,60.3,0
+8273,39,Male,127,74,182,52,80,215,140,6.3,28.2,81,192,Asymptomatic,False,0.4,False,Never,9.4,186,6.9,54.9,True,8260,88.5,0
+8274,43,Female,128,75,138,64,68,40,144,6.4,23.9,93,177,Asymptomatic,False,1.4,True,Former,4.6,115,6.9,31.3,False,5239,70.9,0
+8275,69,Female,134,86,180,46,102,199,157,7.3,22.0,93,147,Asymptomatic,False,0.1,False,Never,3.3,19,7.4,62.7,False,2446,43.2,0
+8276,64,Male,121,75,153,62,61,153,109,5.8,16.6,77,165,Asymptomatic,False,1.0,False,Never,9.1,94,8.0,25.3,True,6447,51.8,0
+8277,49,Female,134,79,170,67,90,100,90,5.0,20.1,75,152,Typical Angina,False,0.3,False,Never,0.5,87,4.7,64.1,False,8590,46.5,0
+8278,44,Female,123,78,190,66,96,159,112,5.6,23.9,84,166,Asymptomatic,False,0.4,False,Former,1.2,131,8.2,10.5,False,3162,91.5,0
+8279,35,Male,103,59,186,45,81,284,87,5.1,15.0,69,191,Asymptomatic,False,0.3,False,Current,17.6,196,6.8,38.6,False,6029,74.2,0
+8280,52,Male,145,96,142,34,91,86,118,5.6,30.1,81,189,Asymptomatic,False,0.4,True,Current,12.1,91,8.9,59.3,True,5497,53.9,0
+8281,29,Female,120,77,236,74,150,86,96,4.9,21.4,83,191,Atypical Angina,False,1.8,False,Current,5.8,259,6.7,50.4,True,7798,56.5,0
+8282,62,Female,128,77,171,57,83,119,127,6.6,26.9,78,176,Asymptomatic,True,2.0,False,Former,1.2,55,6.0,66.2,False,8446,72.5,1
+8283,55,Female,129,85,181,38,119,125,122,6.1,22.6,66,179,Asymptomatic,False,0.5,False,Never,2.6,115,7.0,44.8,False,3922,52.8,0
+8284,43,Male,126,88,178,53,93,164,136,6.2,28.3,76,168,Asymptomatic,False,1.2,True,Never,5.2,17,5.8,17.7,False,3510,44.2,1
+8285,35,Male,122,82,151,30,99,119,104,5.9,22.0,89,180,Non-Anginal Pain,False,0.1,True,Current,3.8,213,7.1,28.4,True,8947,45.5,0
+8286,43,Male,132,91,170,39,94,190,94,4.7,18.0,81,196,Non-Anginal Pain,False,0.1,False,Never,9.9,63,5.8,47.8,False,8917,76.3,0
+8287,67,Male,136,95,181,58,88,222,99,5.5,27.0,75,121,Typical Angina,True,0.9,True,Former,10.3,168,9.6,31.1,False,5799,68.3,1
+8288,64,Female,132,90,163,46,93,194,112,5.8,20.8,80,186,Asymptomatic,False,0.2,True,Current,25.6,176,6.9,35.3,True,7925,47.1,0
+8289,56,Female,136,87,183,78,73,147,131,6.2,21.5,94,152,Non-Anginal Pain,False,0.4,False,Never,1.3,134,6.1,53.6,False,3285,67.8,0
+8290,59,Male,125,91,173,42,117,101,116,4.9,25.6,79,173,Asymptomatic,False,0.2,True,Former,11.9,152,7.0,93.6,True,6881,68.3,0
+8291,58,Female,125,84,187,62,92,167,125,5.5,24.4,79,177,Non-Anginal Pain,True,0.0,False,Never,6.8,80,6.8,30.6,False,4228,47.7,0
+8292,63,Male,119,85,210,48,126,240,126,5.9,27.1,106,170,Asymptomatic,False,0.5,False,Never,1.6,115,6.9,67.5,False,5769,53.2,0
+8293,37,Male,118,77,189,41,100,247,130,6.2,26.5,75,175,Non-Anginal Pain,False,0.6,False,Former,9.3,154,7.3,41.9,True,6333,66.8,0
+8294,56,Female,143,102,229,58,148,90,90,5.2,25.2,69,154,Asymptomatic,False,0.3,False,Current,3.0,184,6.3,72.7,False,3099,64.0,1
+8295,51,Male,137,88,161,24,111,114,89,4.9,23.2,94,153,Asymptomatic,False,0.3,False,Never,4.8,137,7.3,37.7,True,5822,60.9,0
+8296,60,Male,130,77,173,51,107,73,124,6.0,28.8,81,155,Atypical Angina,False,0.2,False,Former,5.2,52,6.9,47.5,False,3855,72.0,0
+8297,47,Male,153,104,245,57,147,197,79,5.0,27.8,93,190,Asymptomatic,False,0.8,True,Never,3.3,83,7.4,41.1,True,7787,61.0,0
+8298,51,Male,125,81,211,63,137,136,112,5.1,15.9,73,152,Non-Anginal Pain,True,2.4,False,Never,10.0,39,6.5,62.4,False,3931,65.1,1
+8299,57,Male,112,67,248,55,152,125,110,5.2,22.8,76,156,Non-Anginal Pain,False,0.6,False,Former,3.4,112,6.2,20.1,False,3210,31.0,0
+8300,63,Female,113,72,199,64,110,117,92,5.3,21.3,82,152,Typical Angina,False,0.2,False,Never,1.3,139,5.1,54.7,False,6089,52.6,0
+8301,44,Male,113,69,201,76,80,219,124,6.4,23.1,66,181,Asymptomatic,False,0.6,True,Current,1.8,174,6.9,20.8,True,7662,81.2,0
+8302,61,Female,110,71,222,60,109,183,120,6.2,24.3,76,156,Typical Angina,False,2.0,False,Never,1.6,145,4.7,26.6,False,6094,53.3,0
+8303,52,Female,120,73,207,74,116,93,116,5.8,18.7,62,189,Non-Anginal Pain,True,0.1,False,Never,2.9,109,7.3,36.9,False,6198,84.4,0
+8304,43,Female,124,75,197,48,131,164,95,4.8,28.9,74,179,Atypical Angina,False,1.3,True,Former,2.1,107,5.3,65.9,False,3220,60.9,0
+8305,57,Female,139,87,225,37,140,163,78,5.0,20.3,74,146,Non-Anginal Pain,False,0.2,False,Never,9.3,120,7.8,40.9,True,5963,59.8,0
+8306,46,Female,120,71,172,59,77,200,97,5.1,22.1,81,187,Typical Angina,False,3.3,True,Former,11.7,268,8.4,68.6,True,8932,60.5,0
+8307,41,Female,117,69,204,47,128,179,105,5.2,20.3,83,191,Atypical Angina,False,1.9,False,Current,1.9,226,7.6,30.3,True,6827,50.9,0
+8308,76,Female,149,81,210,57,109,206,167,6.8,34.1,79,143,Asymptomatic,False,0.9,False,Never,6.8,91,6.4,52.0,True,9177,70.1,0
+8309,59,Male,133,95,246,46,138,272,117,6.2,31.9,80,158,Asymptomatic,False,2.7,False,Never,9.1,106,9.6,52.2,True,5016,39.6,0
+8310,42,Male,108,74,148,49,67,154,147,6.9,20.0,83,196,Non-Anginal Pain,False,0.2,False,Never,1.7,141,6.8,31.8,False,2870,63.8,0
+8311,65,Male,119,87,201,59,133,65,134,6.2,23.2,88,159,Asymptomatic,True,0.2,True,Current,6.5,213,6.8,27.4,True,9003,55.2,0
+8312,58,Male,121,72,184,63,95,136,94,4.7,18.6,78,159,Asymptomatic,False,0.9,False,Former,2.8,132,6.6,81.4,True,7759,79.2,0
+8313,60,Female,143,94,203,70,100,194,101,5.7,24.4,77,163,Non-Anginal Pain,False,0.7,False,Current,2.5,260,8.2,65.5,True,4901,71.5,0
+8314,56,Female,143,101,226,65,124,195,110,5.7,29.1,90,141,Asymptomatic,False,4.7,True,Former,3.1,56,6.2,53.8,True,5014,55.8,1
+8315,39,Female,111,66,210,65,106,179,138,5.9,25.7,98,156,Non-Anginal Pain,False,0.3,True,Former,3.3,0,6.0,33.0,False,7498,63.0,1
+8316,35,Male,103,69,199,58,124,119,92,4.4,22.0,89,186,Asymptomatic,False,0.7,False,Never,3.3,169,6.8,25.8,True,10934,66.4,0
+8317,54,Female,116,73,160,42,103,146,151,6.7,32.2,90,156,Asymptomatic,True,0.6,True,Former,2.8,104,8.2,57.1,False,8703,61.9,1
+8318,36,Male,122,89,171,68,72,236,125,6.5,21.1,75,194,Asymptomatic,False,0.6,True,Former,6.8,69,6.4,67.0,False,6189,78.0,0
+8319,48,Female,137,76,227,58,128,220,153,6.5,33.3,82,181,Asymptomatic,False,0.2,False,Never,22.6,231,6.7,69.7,True,8211,51.9,0
+8320,31,Female,114,68,184,58,98,132,143,6.6,24.1,74,197,Typical Angina,False,0.4,True,Never,6.3,173,7.1,0.2,True,9106,75.7,0
+8321,48,Female,121,75,234,62,139,152,127,6.0,23.9,70,186,Atypical Angina,False,0.7,False,Never,0.9,157,4.9,58.0,True,6089,61.1,0
+8322,55,Male,128,79,214,59,110,210,77,5.3,20.7,82,154,Typical Angina,False,1.8,False,Current,4.1,188,6.5,40.7,False,5419,65.1,1
+8323,51,Female,132,86,158,79,70,74,147,7.1,27.9,80,158,Asymptomatic,False,0.6,False,Former,0.3,117,7.6,6.7,False,4997,68.9,0
+8324,60,Female,142,91,233,55,133,238,116,6.0,27.9,76,153,Asymptomatic,True,0.5,False,Current,1.7,141,6.1,19.5,True,5278,21.0,1
+8325,55,Female,118,68,191,72,102,91,75,4.8,25.1,80,165,Typical Angina,False,0.3,True,Never,3.2,128,8.6,50.9,True,8674,64.5,0
+8326,61,Male,137,80,166,33,97,187,111,5.6,27.5,90,142,Non-Anginal Pain,True,0.7,False,Never,9.9,150,7.1,49.6,True,5518,79.7,1
+8327,58,Male,142,91,145,34,71,149,141,6.8,32.4,66,173,Typical Angina,False,0.5,False,Never,2.2,66,7.3,52.4,False,4158,66.5,0
+8328,62,Male,135,77,173,50,100,197,161,7.0,25.5,86,158,Asymptomatic,False,0.1,True,Never,12.3,66,7.1,49.0,False,5366,63.4,0
+8329,49,Female,102,51,225,83,127,47,107,4.6,16.5,83,158,Atypical Angina,False,0.2,True,Never,10.5,190,8.0,26.1,True,7221,80.1,0
+8330,64,Female,139,84,189,67,97,82,105,5.3,21.4,91,162,Asymptomatic,False,0.6,False,Never,5.3,96,6.4,71.5,False,9766,69.3,0
+8331,54,Male,121,84,172,62,63,224,120,5.6,24.3,64,165,Asymptomatic,False,0.7,False,Never,3.2,165,7.0,54.9,True,4947,60.2,0
+8332,57,Male,130,89,194,54,111,145,164,6.6,28.5,84,134,Asymptomatic,True,2.4,False,Former,2.5,91,6.4,77.7,False,3692,70.3,1
+8333,54,Female,136,77,214,71,105,189,132,5.6,25.8,78,188,Asymptomatic,False,0.4,True,Never,1.3,133,6.3,46.1,True,6435,25.7,0
+8334,50,Female,126,82,181,56,95,172,112,5.6,34.8,96,167,Asymptomatic,False,0.8,False,Former,12.3,73,6.0,66.1,False,6071,37.0,0
+8335,60,Male,140,95,182,65,96,35,107,5.1,26.5,91,162,Atypical Angina,False,0.1,False,Current,3.9,132,6.8,68.8,False,5938,62.4,0
+8336,34,Male,128,83,180,39,116,131,118,6.0,18.0,69,201,Asymptomatic,True,0.2,False,Never,1.8,149,8.7,45.2,False,5929,56.3,0
+8337,40,Female,130,77,183,49,111,135,134,5.9,29.1,74,187,Asymptomatic,False,1.3,False,Former,7.1,127,7.9,56.1,False,6851,42.7,0
+8338,32,Male,108,78,151,73,62,104,116,6.0,22.7,63,194,Atypical Angina,True,0.7,True,Never,4.3,243,5.2,55.2,True,10411,93.5,0
+8339,62,Male,146,98,219,54,119,187,120,5.7,26.5,81,149,Atypical Angina,False,0.0,True,Never,5.5,0,7.8,35.0,False,594,61.0,0
+8340,48,Female,130,69,145,52,80,136,89,5.0,25.5,86,147,Non-Anginal Pain,False,0.5,False,Never,4.0,148,8.3,69.4,False,6614,69.7,0
+8341,60,Male,125,76,181,35,111,221,134,5.9,28.6,65,155,Atypical Angina,False,1.3,False,Former,3.6,196,7.3,39.2,True,10049,56.8,1
+8342,78,Female,129,83,204,78,99,152,125,5.7,18.1,89,136,Atypical Angina,True,0.4,True,Never,4.6,77,6.9,48.2,False,2233,39.0,0
+8343,63,Female,141,94,180,65,78,165,129,6.1,22.6,97,153,Asymptomatic,False,0.8,False,Former,1.0,133,5.7,71.1,False,4347,69.1,1
+8344,26,Male,99,58,175,81,35,237,106,5.7,18.3,79,210,Atypical Angina,False,1.0,True,Former,9.4,230,6.2,52.2,False,9312,67.7,0
+8345,40,Male,121,84,156,33,109,83,64,4.1,23.8,60,182,Atypical Angina,False,0.6,False,Current,2.8,209,6.2,40.3,True,10764,49.6,0
+8346,67,Male,147,98,239,68,133,166,120,6.4,29.1,80,118,Typical Angina,True,3.9,True,Never,2.5,133,6.2,48.9,False,3033,59.8,1
+8347,53,Male,109,68,153,54,86,84,140,6.0,15.5,57,160,Asymptomatic,False,0.9,True,Never,7.2,195,7.1,39.9,True,8842,58.8,0
+8348,67,Female,135,92,211,49,115,223,169,7.1,30.0,82,133,Asymptomatic,False,1.5,False,Current,0.8,134,5.8,38.1,False,4077,45.8,0
+8349,79,Male,147,82,193,61,120,109,151,7.1,27.3,87,107,Asymptomatic,False,5.2,True,Former,7.7,86,7.0,23.8,False,4647,41.5,1
+8350,44,Male,123,74,178,48,97,189,78,5.3,23.6,79,196,Non-Anginal Pain,False,0.1,False,Never,8.7,209,8.1,38.7,True,8027,37.4,0
+8351,85,Female,156,91,146,59,42,123,118,6.0,22.6,72,137,Non-Anginal Pain,True,0.5,True,Never,11.8,123,7.3,55.5,True,7260,94.0,1
+8352,52,Male,125,84,187,48,96,186,125,6.0,23.3,78,173,Asymptomatic,False,0.7,False,Never,7.0,176,6.0,58.7,False,8380,69.0,0
+8353,53,Female,113,69,160,44,86,103,94,5.3,18.0,91,169,Asymptomatic,False,0.9,False,Former,3.8,108,7.3,48.8,True,7917,55.5,0
+8354,65,Male,138,88,259,51,146,223,109,6.1,28.3,84,158,Typical Angina,False,0.8,False,Never,19.0,210,8.5,60.5,True,10250,54.8,1
+8355,90,Male,149,90,187,48,113,117,142,7.0,25.8,89,123,Typical Angina,False,0.0,True,Never,5.5,95,9.5,57.7,True,3891,55.0,1
+8356,54,Female,123,73,222,68,117,219,117,5.4,29.1,90,164,Non-Anginal Pain,False,2.8,False,Never,9.3,141,9.7,56.7,True,6501,73.2,1
+8357,77,Female,146,89,194,75,98,157,130,6.5,22.9,98,127,Asymptomatic,True,3.5,True,Current,4.2,50,8.1,78.2,False,2984,83.4,1
+8358,68,Female,128,84,189,58,111,131,123,6.1,24.3,99,148,Typical Angina,True,1.1,False,Current,15.2,75,6.8,56.6,False,5582,46.1,1
+8359,56,Female,128,88,133,40,62,187,127,6.0,27.6,90,173,Asymptomatic,False,0.6,False,Current,2.2,117,6.5,66.4,False,7643,55.7,0
+8360,60,Male,105,62,200,56,106,122,130,5.6,27.5,75,165,Asymptomatic,False,0.5,False,Never,2.0,144,7.6,40.7,True,6145,62.3,0
+8361,43,Male,132,87,193,33,125,152,137,6.2,24.4,57,188,Non-Anginal Pain,False,0.4,False,Never,3.0,109,6.7,30.1,False,6697,47.2,0
+8362,50,Female,129,85,172,75,81,97,121,5.7,20.8,65,173,Typical Angina,False,1.0,True,Never,3.5,128,8.0,70.8,False,8482,62.0,0
+8363,37,Female,112,72,195,82,71,187,113,5.7,27.2,81,193,Asymptomatic,False,1.7,True,Never,4.6,165,6.2,21.4,False,8771,34.0,0
+8364,65,Male,119,67,164,40,93,155,91,5.3,30.1,87,159,Atypical Angina,False,0.9,False,Never,7.0,74,7.0,55.4,False,2845,50.4,0
+8365,40,Female,155,96,173,26,118,176,131,6.7,31.0,102,183,Asymptomatic,False,1.1,False,Current,0.1,21,6.0,28.0,False,3841,50.4,0
+8366,54,Female,120,63,175,63,110,94,167,7.0,24.1,82,172,Non-Anginal Pain,False,0.9,False,Never,4.6,195,7.2,41.0,True,6066,73.8,0
+8367,34,Female,122,77,127,60,49,105,154,6.2,21.7,81,189,Asymptomatic,False,0.6,False,Former,5.2,177,6.7,69.6,True,6739,57.5,0
+8368,43,Female,105,62,185,71,91,79,121,5.6,26.7,88,178,Asymptomatic,False,0.4,True,Never,3.9,198,6.5,57.6,True,5623,73.2,0
+8369,32,Male,89,53,183,61,89,165,62,4.0,20.2,77,210,Asymptomatic,False,0.8,False,Former,2.7,152,7.2,33.6,True,6262,63.1,0
+8370,54,Male,131,88,158,51,91,78,101,5.4,29.1,75,167,Asymptomatic,False,1.4,True,Former,4.3,194,7.9,44.8,False,5333,61.7,0
+8371,44,Female,154,97,170,56,90,103,125,6.0,24.2,82,180,Non-Anginal Pain,False,2.3,False,Former,0.1,139,8.1,46.5,False,4332,62.5,0
+8372,52,Female,119,78,186,62,92,131,89,4.9,25.4,87,181,Asymptomatic,False,1.5,False,Former,2.1,164,6.5,31.1,False,5693,48.0,0
+8373,70,Female,143,95,243,40,162,200,92,5.4,30.1,87,137,Asymptomatic,True,1.2,False,Current,5.8,92,7.5,43.5,True,9127,37.1,1
+8374,72,Male,128,87,217,75,126,102,76,4.6,24.1,88,139,Non-Anginal Pain,False,0.8,False,Former,3.7,112,8.1,41.3,False,4994,61.8,1
+8375,32,Male,116,72,174,64,74,121,128,5.5,20.4,78,196,Asymptomatic,False,0.9,False,Never,2.9,254,7.9,48.1,True,7890,53.9,0
+8376,35,Male,116,72,175,70,83,148,163,6.9,28.7,71,180,Non-Anginal Pain,False,0.4,False,Never,8.1,313,8.3,40.1,True,13523,80.6,0
+8377,62,Male,136,89,224,43,146,202,117,5.9,24.1,87,147,Non-Anginal Pain,True,2.2,False,Former,3.4,101,6.1,48.2,False,5455,56.0,1
+8378,58,Female,110,71,214,70,116,102,114,5.7,21.0,69,156,Asymptomatic,False,0.3,False,Current,2.3,121,6.5,36.8,True,7840,50.0,0
+8379,60,Male,116,67,124,51,36,152,108,5.6,16.8,77,167,Typical Angina,True,0.4,False,Never,2.9,186,8.1,82.4,False,7288,78.5,0
+8380,62,Female,145,86,186,57,81,188,110,5.5,27.7,80,143,Asymptomatic,True,0.5,False,Former,0.3,51,5.8,22.7,False,1484,66.5,1
+8381,68,Male,132,90,175,42,92,215,121,6.0,30.5,84,147,Non-Anginal Pain,True,0.3,True,Never,2.7,88,7.2,61.9,False,2795,41.2,1
+8382,60,Female,131,88,144,53,84,62,98,4.8,24.7,75,172,Asymptomatic,False,0.7,False,Never,4.1,196,5.0,44.5,False,6496,54.9,0
+8383,60,Female,134,71,146,31,98,90,97,5.0,15.0,79,185,Asymptomatic,False,1.2,True,Former,2.8,110,6.4,46.1,False,3406,73.0,0
+8384,54,Female,119,74,191,54,120,128,96,4.9,22.3,83,172,Non-Anginal Pain,False,0.9,False,Never,21.5,214,7.2,66.4,True,6524,69.6,0
+8385,40,Male,136,86,195,72,100,100,144,6.8,29.4,85,162,Asymptomatic,True,0.2,False,Current,3.3,138,7.2,44.0,True,8537,83.1,0
+8386,57,Female,119,69,249,55,118,317,87,4.6,25.8,73,176,Non-Anginal Pain,False,0.8,True,Never,3.1,187,7.4,34.3,False,4956,54.1,0
+8387,62,Male,125,83,187,59,108,123,137,5.7,18.6,85,155,Asymptomatic,False,0.1,False,Former,3.3,76,9.8,67.0,True,8344,59.2,0
+8388,39,Male,128,79,222,78,118,105,91,5.0,22.2,83,205,Asymptomatic,True,0.3,False,Never,5.6,202,5.9,65.4,False,2424,44.7,0
+8389,78,Male,148,96,180,35,116,149,110,5.7,29.5,76,124,Atypical Angina,True,3.3,False,Former,13.0,7,8.3,54.6,False,5470,52.0,1
+8390,68,Female,140,85,168,46,100,142,128,6.2,23.3,79,140,Asymptomatic,True,0.6,False,Former,1.3,163,5.5,55.9,False,2689,39.6,1
+8391,31,Male,114,64,155,58,57,200,71,4.5,27.0,74,196,Asymptomatic,False,0.6,False,Former,8.5,107,7.3,25.9,False,6046,64.2,0
+8392,58,Male,140,81,206,51,125,103,155,6.5,27.4,84,158,Atypical Angina,True,2.2,False,Current,4.5,112,7.6,52.4,False,3868,53.3,1
+8393,49,Female,122,75,205,56,114,140,131,6.1,21.5,72,154,Asymptomatic,False,1.1,False,Never,4.3,119,6.3,58.2,True,8697,54.4,0
+8394,75,Male,132,82,174,58,104,72,111,5.9,23.7,64,144,Typical Angina,True,1.9,False,Never,1.8,201,6.8,64.5,False,4866,38.0,1
+8395,68,Male,133,79,160,40,91,142,134,6.4,23.3,88,150,Asymptomatic,False,1.0,True,Never,7.8,85,6.7,62.1,True,7737,50.2,0
+8396,67,Female,123,92,169,56,100,112,95,5.5,24.7,92,159,Asymptomatic,True,3.2,False,Current,22.1,7,9.1,92.9,True,7976,51.2,1
+8397,57,Female,145,90,153,41,100,72,125,6.1,21.2,78,122,Atypical Angina,True,3.6,False,Former,4.4,220,9.5,72.6,True,9625,49.9,1
+8398,63,Female,175,103,188,56,96,145,153,6.7,28.4,92,136,Non-Anginal Pain,False,0.3,False,Never,2.2,50,6.2,61.9,False,5852,42.3,1
+8399,68,Male,146,103,246,56,156,126,106,5.7,20.1,66,135,Atypical Angina,False,0.4,False,Never,4.3,122,8.4,46.3,True,5508,62.5,1
+8400,37,Female,112,72,201,54,120,169,121,5.9,28.3,88,187,Asymptomatic,True,0.4,False,Never,8.9,77,7.8,59.7,False,4667,46.3,0
+8401,56,Male,117,71,267,82,152,209,86,4.9,17.1,69,166,Non-Anginal Pain,False,1.4,False,Former,7.5,207,8.8,18.2,False,3864,50.1,0
+8402,53,Female,109,64,128,51,40,189,91,5.2,21.5,80,169,Asymptomatic,False,1.3,False,Never,1.1,32,7.6,49.2,False,3308,74.9,0
+8403,55,Female,132,80,189,66,106,106,114,5.3,25.1,86,169,Asymptomatic,False,0.9,False,Former,4.8,167,7.5,26.4,True,4686,59.3,0
+8404,66,Female,134,90,225,59,140,129,168,6.7,30.8,76,153,Typical Angina,True,2.9,False,Current,4.0,173,7.4,18.2,True,10770,69.3,1
+8405,48,Male,127,73,193,50,119,127,118,5.9,23.5,87,167,Atypical Angina,False,0.4,False,Never,5.6,116,6.1,51.5,False,9414,80.5,0
+8406,37,Female,128,80,255,74,133,155,88,5.5,21.0,65,203,Non-Anginal Pain,False,0.2,False,Never,5.8,239,7.0,22.0,True,8810,54.0,0
+8407,38,Female,121,72,196,59,88,182,145,6.5,24.6,76,177,Non-Anginal Pain,False,0.6,True,Never,1.8,159,5.1,22.8,True,7789,78.9,0
+8408,64,Female,119,69,248,71,125,194,139,6.1,33.4,87,161,Non-Anginal Pain,False,0.8,False,Current,13.4,258,7.3,51.0,True,9402,37.1,0
+8409,38,Female,125,65,221,74,119,179,115,5.3,27.8,74,186,Non-Anginal Pain,True,0.3,False,Never,0.8,109,7.9,44.8,True,9776,31.1,0
+8410,47,Male,112,73,162,58,82,122,138,6.4,20.9,85,184,Asymptomatic,False,1.7,False,Former,2.2,139,8.2,64.5,False,5423,66.6,0
+8411,60,Female,116,75,179,60,112,71,106,5.5,26.2,89,161,Typical Angina,True,1.8,False,Current,2.0,147,6.8,64.7,True,5996,65.5,1
+8412,43,Male,154,96,199,38,111,191,102,5.6,25.2,86,190,Non-Anginal Pain,False,0.3,False,Never,13.1,60,7.4,70.1,False,4120,51.5,0
+8413,29,Female,123,78,102,47,56,70,88,5.1,24.3,90,177,Non-Anginal Pain,False,0.8,False,Never,1.8,152,6.1,24.7,False,9009,53.4,0
+8414,52,Female,131,67,215,58,128,132,126,5.9,16.8,87,157,Asymptomatic,True,1.5,False,Never,0.5,147,6.5,61.2,True,9839,57.2,0
+8415,56,Female,148,91,147,60,51,224,101,4.9,25.6,85,152,Typical Angina,False,1.4,False,Never,0.1,160,7.4,76.7,True,8667,65.4,0
+8416,36,Female,111,66,155,45,84,122,118,5.2,30.6,88,179,Asymptomatic,True,0.6,False,Former,8.8,255,8.2,38.1,True,5989,82.1,0
+8417,61,Male,138,85,202,46,124,224,121,6.3,25.0,89,145,Typical Angina,True,0.3,True,Current,9.3,134,9.3,67.2,False,2674,46.9,1
+8418,39,Male,119,76,126,46,74,78,89,5.5,22.5,80,183,Typical Angina,False,2.6,False,Former,5.7,61,6.4,85.6,True,10127,74.6,1
+8419,30,Male,111,77,195,57,104,154,130,5.3,21.9,82,208,Non-Anginal Pain,False,0.7,False,Former,10.5,269,6.6,44.2,True,7625,59.0,0
+8420,62,Female,132,73,234,71,123,207,98,5.8,30.1,87,121,Asymptomatic,False,0.6,False,Former,3.3,138,9.7,54.3,False,6434,65.4,1
+8421,56,Female,136,73,231,47,145,164,111,5.8,24.1,82,159,Atypical Angina,False,1.6,False,Current,4.3,133,8.8,50.0,False,5676,77.2,1
+8422,56,Female,146,93,182,60,101,132,123,5.7,31.9,88,166,Atypical Angina,False,0.3,False,Former,2.3,60,8.0,55.5,True,7171,56.8,0
+8423,34,Female,132,80,143,59,78,115,100,4.9,15.6,73,189,Asymptomatic,True,0.4,True,Never,2.9,152,7.6,56.9,True,7475,78.7,0
+8424,27,Female,85,62,224,62,118,122,83,5.0,17.3,72,199,Typical Angina,True,2.1,False,Former,5.6,170,7.8,45.8,False,3428,62.5,0
+8425,50,Male,136,84,161,62,102,108,74,4.7,24.2,83,190,Asymptomatic,True,1.4,True,Never,2.2,131,7.6,23.5,True,8607,70.1,0
+8426,46,Male,125,85,232,47,151,157,103,5.0,26.1,79,167,Asymptomatic,False,0.6,True,Never,2.1,111,8.0,39.2,True,8864,43.6,0
+8427,42,Male,119,79,180,34,123,180,125,6.3,30.5,82,167,Atypical Angina,True,2.3,False,Current,5.9,137,7.5,49.2,False,1158,41.2,1
+8428,53,Female,129,94,202,51,123,129,109,6.1,26.7,92,190,Asymptomatic,True,0.4,False,Never,6.9,113,7.7,56.4,False,5941,64.1,0
+8429,63,Male,120,78,166,45,74,233,144,5.9,30.8,84,152,Non-Anginal Pain,False,1.2,False,Never,3.0,78,8.1,43.9,True,7362,59.9,0
+8430,39,Male,112,82,210,37,120,245,115,5.7,26.5,86,185,Asymptomatic,False,2.4,True,Current,4.6,190,6.4,51.5,True,8574,48.6,0
+8431,54,Male,127,83,183,47,100,170,90,4.9,20.9,82,162,Asymptomatic,False,1.7,False,Never,2.4,79,6.4,68.8,False,2611,60.2,0
+8432,51,Male,120,74,164,40,101,73,130,6.2,20.4,92,192,Typical Angina,False,1.0,False,Never,9.0,22,8.0,56.7,False,7751,58.1,0
+8433,82,Male,155,103,170,52,92,203,112,6.1,28.4,99,142,Asymptomatic,False,1.7,False,Never,1.6,46,5.8,27.9,False,4724,44.1,1
+8434,47,Male,111,79,260,44,164,283,140,6.5,29.3,87,168,Non-Anginal Pain,True,1.8,False,Never,3.7,164,7.0,31.4,False,5021,33.0,1
+8435,41,Male,111,83,145,56,61,124,97,5.3,20.9,86,164,Atypical Angina,False,0.4,False,Former,13.9,55,4.4,48.7,False,5345,70.7,0
+8436,55,Male,120,72,193,34,128,191,122,5.8,30.3,72,169,Non-Anginal Pain,False,3.1,False,Never,3.1,265,8.4,28.0,True,8149,70.2,0
+8437,89,Female,118,72,209,51,122,190,118,5.7,24.4,83,113,Asymptomatic,True,1.8,True,Current,1.8,44,4.3,60.5,False,3827,37.8,1
+8438,40,Male,108,66,206,47,101,255,107,5.4,21.5,76,195,Non-Anginal Pain,False,0.9,False,Never,16.7,175,7.6,34.4,True,7873,65.5,0
+8439,43,Female,133,77,196,45,109,222,105,5.7,26.6,69,170,Typical Angina,False,2.0,False,Never,17.3,136,5.7,57.3,False,9986,83.1,0
+8440,51,Female,120,74,223,58,135,149,148,6.2,26.6,95,141,Atypical Angina,True,0.5,False,Never,19.4,53,6.5,49.3,True,4369,77.3,1
+8441,39,Male,115,76,152,80,64,70,80,4.7,22.6,85,188,Non-Anginal Pain,False,0.5,False,Never,3.1,195,8.6,41.2,True,5902,63.3,0
+8442,64,Male,135,89,167,47,89,140,135,6.3,26.3,68,154,Typical Angina,False,2.0,True,Former,2.4,73,6.8,52.6,False,4500,37.0,1
+8443,41,Male,123,78,137,34,76,151,81,4.3,24.6,93,199,Asymptomatic,False,0.3,False,Current,5.3,140,7.2,34.7,True,8069,63.9,0
+8444,56,Male,143,84,224,57,147,135,116,5.4,29.8,83,135,Typical Angina,False,1.1,False,Never,7.7,36,8.6,54.7,True,4097,50.5,1
+8445,51,Female,121,74,196,60,107,180,80,4.0,24.2,84,180,Asymptomatic,False,0.1,False,Never,4.1,207,7.5,67.2,True,7619,43.6,0
+8446,66,Male,133,89,182,50,95,169,105,5.4,33.2,83,135,Non-Anginal Pain,True,0.3,False,Former,3.4,77,7.2,34.6,False,2840,51.2,1
+8447,70,Female,130,87,255,47,179,176,107,5.9,27.0,78,139,Asymptomatic,False,0.1,False,Never,1.1,109,9.8,37.7,True,5830,41.1,1
+8448,59,Male,130,92,174,65,71,207,116,5.3,24.2,77,153,Atypical Angina,False,1.3,False,Never,9.5,162,7.8,25.9,True,4996,52.8,1
+8449,44,Male,138,89,191,52,106,127,120,5.3,28.1,86,157,Asymptomatic,False,2.7,True,Never,9.8,253,6.4,37.5,True,8386,32.6,1
+8450,57,Male,111,67,174,78,84,35,101,5.6,15.4,67,162,Non-Anginal Pain,False,0.4,False,Never,4.6,233,6.6,14.1,True,7869,59.2,0
+8451,48,Female,114,71,184,54,111,119,99,4.4,23.6,84,174,Non-Anginal Pain,False,1.2,True,Never,12.7,90,6.5,22.8,False,6054,85.5,0
+8452,57,Female,147,104,222,76,110,177,139,6.4,28.1,82,187,Typical Angina,False,0.3,False,Never,3.8,75,7.8,65.4,True,6868,61.5,0
+8453,49,Male,143,90,186,49,102,106,139,6.6,26.3,83,196,Atypical Angina,False,0.4,False,Never,2.7,101,6.5,53.4,False,3644,55.2,0
+8454,53,Male,132,79,184,54,113,117,81,5.0,21.8,77,178,Asymptomatic,False,1.1,False,Never,5.9,148,7.0,32.9,False,5694,51.9,0
+8455,47,Male,117,75,188,46,108,135,124,6.5,30.7,72,183,Asymptomatic,False,0.9,False,Never,4.8,141,7.2,35.1,True,3496,74.6,0
+8456,56,Male,122,72,167,55,82,114,106,5.7,25.2,67,153,Asymptomatic,False,2.0,True,Former,1.7,104,6.4,46.7,False,4319,70.1,1
+8457,80,Male,144,80,217,78,124,76,132,6.0,15.0,85,144,Atypical Angina,False,1.2,False,Never,2.4,127,8.6,47.5,False,8259,58.4,0
+8458,75,Male,153,91,194,38,114,262,129,5.8,30.3,76,109,Asymptomatic,True,0.2,True,Never,3.4,87,7.8,40.0,True,8163,51.2,1
+8459,51,Male,121,74,156,55,89,69,141,6.4,23.5,78,153,Asymptomatic,False,1.0,False,Current,8.7,179,7.5,48.5,True,6759,62.7,1
+8460,58,Female,136,88,206,51,119,145,107,5.7,25.5,74,167,Atypical Angina,False,0.1,True,Former,4.7,279,6.5,39.8,False,7985,76.3,0
+8461,33,Female,104,77,189,66,109,123,105,5.3,20.7,78,202,Asymptomatic,False,0.6,False,Never,5.9,290,5.9,54.3,True,4802,44.7,0
+8462,64,Male,127,88,217,54,129,213,136,6.0,36.2,87,149,Asymptomatic,False,0.3,True,Never,2.3,138,6.7,35.4,True,4469,66.3,0
+8463,67,Female,154,93,266,77,145,213,125,6.4,27.1,90,139,Typical Angina,False,1.6,True,Former,0.4,127,6.1,62.0,False,4851,41.9,1
+8464,34,Male,110,84,180,33,121,134,111,5.8,23.0,88,198,Typical Angina,False,2.7,False,Current,1.9,163,5.0,33.3,False,9623,68.0,0
+8465,38,Male,130,83,184,54,85,218,120,5.2,26.6,89,171,Asymptomatic,False,0.3,False,Never,12.8,88,6.2,29.2,False,3868,59.1,0
+8466,36,Male,114,78,159,55,85,200,105,5.7,24.0,74,193,Non-Anginal Pain,False,0.2,False,Never,5.8,205,5.7,41.0,True,11524,76.0,0
+8467,52,Male,124,78,169,60,93,99,101,4.4,24.4,87,168,Atypical Angina,False,0.5,False,Current,3.1,195,6.8,54.9,False,4561,55.5,0
+8468,42,Female,110,67,169,52,93,125,118,5.3,25.5,80,163,Asymptomatic,False,0.1,True,Current,3.5,171,6.4,33.2,False,5415,33.7,0
+8469,62,Female,122,80,207,78,105,134,94,5.6,25.8,88,141,Non-Anginal Pain,False,0.8,False,Former,1.4,185,7.3,54.5,True,6111,49.6,0
+8470,59,Female,148,94,150,50,65,146,115,5.6,30.9,74,168,Atypical Angina,True,1.3,False,Former,0.4,190,7.5,34.9,True,10317,45.0,0
+8471,35,Male,137,84,185,30,111,203,147,6.9,22.9,69,179,Non-Anginal Pain,False,0.2,False,Never,10.0,241,7.3,45.7,True,7623,50.0,0
+8472,42,Female,114,80,134,63,38,152,101,4.6,19.1,82,186,Non-Anginal Pain,False,1.7,False,Never,2.9,196,6.6,26.3,False,5743,65.0,0
+8473,49,Male,115,75,162,62,92,119,127,6.0,23.6,74,166,Asymptomatic,False,1.5,False,Former,1.7,173,7.8,31.2,False,7402,52.3,0
+8474,50,Female,129,81,181,46,99,137,95,5.2,26.0,79,156,Asymptomatic,False,1.8,False,Never,4.2,70,7.6,58.1,False,4991,70.6,0
+8475,66,Female,133,81,190,48,94,241,103,5.3,20.8,79,155,Asymptomatic,False,1.0,False,Never,2.3,76,6.3,60.2,True,5761,43.6,0
+8476,62,Female,121,74,115,62,39,76,123,6.0,19.4,79,177,Asymptomatic,False,1.0,False,Never,6.5,107,6.1,46.8,False,5032,68.2,0
+8477,77,Female,128,77,183,60,95,173,91,5.1,19.2,68,147,Asymptomatic,True,0.9,False,Former,1.8,105,6.4,50.9,True,5655,58.9,0
+8478,26,Male,127,85,177,58,93,141,133,6.1,18.7,86,192,Atypical Angina,False,0.2,False,Former,1.6,125,6.6,33.5,False,5681,79.4,0
+8479,89,Male,160,103,181,58,75,217,123,6.0,24.9,87,126,Asymptomatic,False,0.9,False,Never,3.9,40,7.4,74.0,True,2075,61.7,0
+8480,62,Male,138,84,165,47,101,109,152,6.4,25.1,84,162,Non-Anginal Pain,False,2.0,True,Never,2.7,81,7.7,37.3,False,6907,27.5,1
+8481,51,Male,119,80,184,40,120,136,116,5.6,21.2,76,194,Asymptomatic,False,0.5,False,Current,3.1,202,6.8,12.0,True,7984,56.9,0
+8482,41,Male,138,87,163,41,101,89,130,5.9,31.9,90,156,Asymptomatic,False,1.7,True,Never,2.2,59,5.1,53.5,False,7745,63.4,0
+8483,64,Female,150,97,214,71,101,199,117,6.6,26.3,77,142,Atypical Angina,False,0.8,False,Former,7.1,12,6.1,43.0,True,3757,57.1,0
+8484,73,Male,124,79,201,66,75,200,144,6.5,17.1,90,122,Non-Anginal Pain,False,0.3,True,Never,2.2,187,7.6,51.6,True,7112,60.1,0
+8485,64,Female,123,70,178,77,79,121,89,4.6,22.0,72,163,Atypical Angina,False,0.6,False,Never,4.4,198,8.3,23.0,True,13304,59.0,0
+8486,68,Male,123,64,207,61,109,150,88,5.7,23.8,84,155,Asymptomatic,False,0.8,False,Never,8.6,108,6.0,61.8,True,8709,72.6,0
+8487,54,Female,130,91,185,51,102,159,121,5.7,23.3,82,176,Non-Anginal Pain,False,0.9,False,Never,0.9,64,5.9,61.3,False,4025,86.2,0
+8488,49,Male,105,69,227,52,124,240,106,5.2,24.7,76,164,Asymptomatic,False,0.8,False,Never,1.7,101,6.8,22.3,True,7203,47.5,0
+8489,44,Female,125,74,128,46,61,143,110,5.8,22.7,72,176,Asymptomatic,False,0.7,False,Current,5.9,188,6.8,27.9,True,4457,78.8,0
+8490,30,Female,129,68,224,47,153,201,110,5.2,23.9,92,181,Non-Anginal Pain,False,0.5,False,Never,13.4,74,4.8,59.4,False,3851,50.6,0
+8491,52,Male,158,94,182,43,83,220,129,6.5,30.9,102,154,Non-Anginal Pain,True,2.1,False,Current,10.9,114,8.0,76.6,True,8752,42.0,1
+8492,69,Male,136,91,171,41,95,199,116,5.4,29.5,60,137,Atypical Angina,False,0.9,False,Never,2.1,207,6.5,65.6,True,7745,70.0,1
+8493,80,Male,169,119,240,57,147,205,121,6.1,31.2,83,127,Typical Angina,True,1.7,False,Never,2.9,0,8.0,49.5,False,3658,56.7,1
+8494,55,Female,137,84,216,71,118,137,118,6.0,17.0,89,175,Non-Anginal Pain,False,1.1,True,Former,2.8,128,8.3,28.2,False,6715,57.6,0
+8495,34,Female,125,83,178,44,111,107,132,6.5,26.3,88,171,Typical Angina,True,1.4,False,Never,1.4,97,7.0,33.7,False,7808,59.3,1
+8496,50,Male,118,79,166,55,109,91,104,5.6,23.1,90,165,Non-Anginal Pain,False,1.0,False,Never,1.9,90,6.3,54.8,True,7042,61.5,0
+8497,60,Female,100,60,162,64,92,71,117,5.8,21.2,86,145,Non-Anginal Pain,False,2.1,False,Former,2.5,109,4.7,41.9,False,5217,52.9,0
+8498,76,Male,133,85,186,77,71,120,74,4.1,15.1,72,151,Asymptomatic,False,0.2,False,Current,5.4,214,9.9,47.9,True,8533,84.4,0
+8499,57,Female,142,83,206,54,110,139,90,5.4,29.3,89,173,Non-Anginal Pain,False,0.2,False,Never,3.6,112,7.5,52.3,True,7972,62.2,0
+8500,71,Male,150,91,231,75,144,128,116,5.7,30.5,64,164,Asymptomatic,False,0.7,False,Former,2.1,240,9.9,39.5,True,7095,73.2,0
+8501,63,Female,128,78,176,51,104,134,147,6.4,29.0,90,168,Atypical Angina,False,1.9,False,Current,1.5,112,7.9,60.2,False,6416,52.5,1
+8502,60,Female,119,80,180,57,105,130,101,5.3,23.3,93,185,Asymptomatic,False,0.9,False,Current,0.8,79,9.4,28.2,False,2927,52.8,0
+8503,59,Male,120,60,165,32,106,159,139,6.1,23.6,80,173,Atypical Angina,False,0.8,True,Never,1.8,125,7.8,42.8,True,8490,38.6,0
+8504,59,Male,140,86,263,63,166,150,144,6.2,33.9,68,164,Asymptomatic,False,0.1,True,Never,4.3,186,6.8,14.7,True,8198,48.7,0
+8505,51,Male,110,78,144,34,68,215,73,4.2,20.8,74,162,Asymptomatic,False,1.4,True,Never,2.6,131,7.7,39.8,False,5769,79.1,0
+8506,54,Male,122,80,245,76,148,146,121,5.8,23.9,83,186,Asymptomatic,False,1.0,False,Former,3.3,190,8.4,31.0,False,5405,72.9,0
+8507,48,Male,126,91,215,46,138,210,116,6.0,32.5,85,180,Asymptomatic,False,1.0,False,Never,11.1,146,5.8,48.0,True,7044,73.1,0
+8508,64,Female,125,86,166,35,101,124,84,4.6,26.6,75,144,Asymptomatic,False,0.7,False,Former,1.8,203,7.5,35.2,False,4504,71.8,0
+8509,36,Male,129,68,90,40,40,61,94,5.1,26.1,84,193,Non-Anginal Pain,False,0.4,False,Former,3.8,159,7.9,63.0,False,2138,78.5,0
+8510,43,Female,121,70,164,74,66,123,98,5.8,20.1,91,164,Asymptomatic,False,0.6,False,Former,6.2,157,6.7,21.5,False,4491,47.9,0
+8511,66,Female,125,84,198,54,118,165,161,7.4,27.3,85,128,Atypical Angina,True,0.0,True,Current,3.7,13,7.0,25.9,False,3866,50.1,1
+8512,42,Male,104,67,196,50,95,215,83,4.8,25.7,70,189,Asymptomatic,False,0.3,False,Never,2.9,96,5.8,37.0,True,5866,47.9,0
+8513,60,Female,127,82,172,50,96,126,96,5.4,17.6,85,190,Asymptomatic,False,0.5,True,Former,5.2,167,6.7,52.2,True,5650,76.6,0
+8514,49,Male,124,76,206,41,119,235,124,5.9,30.6,86,152,Asymptomatic,False,1.4,False,Former,6.1,36,5.9,48.3,False,2693,60.4,1
+8515,37,Female,134,84,196,34,97,280,147,7.1,36.6,73,172,Asymptomatic,False,0.7,True,Current,1.5,133,7.6,3.0,True,7913,38.8,0
+8516,55,Female,135,82,143,44,70,187,127,5.9,27.7,82,157,Atypical Angina,True,1.9,False,Former,3.5,137,8.5,75.1,True,8580,58.0,1
+8517,72,Male,119,56,221,61,117,244,135,6.4,21.7,87,129,Atypical Angina,False,0.4,False,Never,3.6,162,6.7,46.1,True,6876,64.5,1
+8518,51,Female,144,77,213,35,156,130,126,6.1,26.9,88,152,Asymptomatic,False,1.5,False,Current,2.5,173,7.5,74.2,True,6768,52.7,1
+8519,64,Male,135,91,137,62,47,136,118,5.6,25.3,68,143,Asymptomatic,False,0.0,False,Never,2.0,96,5.5,47.6,False,7212,44.6,0
+8520,66,Male,137,79,192,34,125,132,150,6.6,26.1,83,145,Non-Anginal Pain,True,3.0,False,Current,3.9,90,5.6,31.8,False,4453,73.0,1
+8521,36,Male,100,77,228,34,157,165,108,5.8,24.3,62,191,Asymptomatic,False,0.7,False,Former,5.8,134,6.5,49.6,False,5304,79.4,0
+8522,65,Male,141,102,186,37,130,161,116,5.6,28.1,78,122,Typical Angina,True,3.5,False,Never,2.5,195,7.3,50.3,True,7267,40.6,1
+8523,47,Female,117,84,178,71,88,103,104,5.2,19.1,85,209,Asymptomatic,False,0.6,True,Former,6.6,216,7.7,58.5,True,9298,54.3,0
+8524,67,Female,123,70,141,63,59,113,108,5.5,24.2,88,146,Atypical Angina,False,0.0,False,Never,1.1,53,4.7,62.5,False,2049,93.5,0
+8525,50,Female,127,82,164,61,102,45,143,6.4,22.2,64,189,Atypical Angina,False,0.4,False,Never,2.9,185,5.4,35.4,False,6286,84.2,0
+8526,63,Male,134,97,92,30,45,74,157,7.1,16.7,70,149,Atypical Angina,False,2.6,False,Never,14.0,166,6.2,21.7,False,8155,74.5,1
+8527,90,Female,130,82,125,49,52,153,121,5.8,24.8,74,105,Non-Anginal Pain,False,1.4,False,Former,2.9,115,9.4,22.4,False,1242,73.5,1
+8528,48,Male,118,77,183,45,112,161,147,7.4,20.7,89,181,Non-Anginal Pain,False,1.1,False,Current,5.2,148,3.4,47.8,False,6499,58.1,0
+8529,40,Male,127,77,185,51,122,87,123,5.8,33.0,77,145,Asymptomatic,False,5.0,True,Never,2.2,50,6.5,19.7,False,4666,61.0,1
+8530,56,Male,140,75,182,60,95,115,124,5.8,15.0,65,160,Asymptomatic,False,0.1,False,Never,5.3,191,7.4,39.6,False,8104,55.9,0
+8531,64,Male,123,78,266,65,152,193,157,6.1,25.7,74,160,Non-Anginal Pain,False,2.1,False,Former,1.8,219,6.5,32.6,False,5663,65.2,0
+8532,75,Female,117,73,170,66,52,224,136,6.0,24.3,61,146,Typical Angina,False,0.6,False,Never,9.4,100,7.4,35.2,True,3941,75.6,0
+8533,74,Female,126,75,229,42,147,167,111,5.3,26.4,86,159,Non-Anginal Pain,False,0.9,False,Never,3.0,37,6.7,48.5,False,2631,52.9,0
+8534,51,Male,130,82,194,44,104,201,117,5.3,29.2,70,190,Asymptomatic,False,1.0,False,Never,1.7,212,8.2,72.2,True,6654,51.9,0
+8535,49,Male,136,99,235,36,161,244,107,5.8,31.7,71,156,Asymptomatic,True,0.7,True,Never,5.0,90,8.6,48.4,False,7637,60.7,1
+8536,38,Male,120,81,183,53,111,120,135,5.6,25.2,63,181,Non-Anginal Pain,False,0.6,False,Never,5.3,157,7.0,54.3,False,7786,94.7,0
+8537,44,Male,136,91,190,31,127,185,152,7.0,28.3,91,165,Atypical Angina,True,4.2,False,Former,2.3,51,8.3,54.0,False,8825,76.6,1
+8538,54,Male,142,81,200,81,99,101,152,6.3,28.9,68,139,Typical Angina,False,2.1,False,Never,4.5,236,8.5,30.3,True,7203,52.1,1
+8539,69,Female,139,82,137,61,44,115,113,5.1,17.0,76,162,Asymptomatic,False,0.2,True,Never,17.3,178,6.8,63.7,False,7762,61.6,0
+8540,74,Female,129,82,221,59,119,225,149,7.0,23.1,84,138,Non-Anginal Pain,False,0.2,True,Never,2.1,180,7.9,55.1,False,5849,30.1,0
+8541,42,Female,120,70,178,60,95,143,112,5.3,29.3,93,165,Asymptomatic,True,5.0,False,Never,0.8,147,6.9,62.5,True,8011,67.4,1
+8542,46,Female,134,81,151,67,69,101,127,5.9,23.5,83,179,Non-Anginal Pain,False,0.9,False,Current,4.8,137,7.9,38.5,True,3317,84.0,0
+8543,56,Male,136,88,201,57,102,230,90,4.8,29.7,99,162,Asymptomatic,False,0.8,True,Never,12.3,34,8.0,38.3,False,4653,51.0,1
+8544,60,Female,144,104,198,35,127,166,123,6.0,38.2,97,126,Asymptomatic,False,1.7,True,Current,4.7,39,4.7,51.8,False,7111,45.0,1
+8545,61,Female,123,74,173,72,81,151,130,5.8,26.5,75,159,Non-Anginal Pain,False,0.2,True,Former,1.5,107,5.2,40.2,False,5627,63.2,0
+8546,36,Female,103,64,146,66,58,108,127,5.5,22.5,75,191,Asymptomatic,True,0.1,False,Never,1.7,156,7.8,36.7,True,5946,80.7,0
+8547,39,Female,136,81,193,61,78,222,123,6.7,26.2,93,174,Non-Anginal Pain,True,0.3,True,Current,4.6,147,5.9,44.6,True,8558,65.7,0
+8548,66,Male,118,71,123,50,72,35,118,5.5,20.1,85,169,Atypical Angina,False,3.2,False,Former,1.5,175,7.9,42.5,False,7036,67.9,0
+8549,70,Female,132,71,225,66,119,122,160,7.1,26.7,89,135,Non-Anginal Pain,False,0.7,True,Never,1.5,0,7.2,64.0,False,4410,58.0,0
+8550,46,Female,133,90,173,74,78,172,60,4.0,19.8,83,177,Asymptomatic,False,0.6,False,Never,0.7,151,7.7,76.3,True,11405,73.8,0
+8551,55,Male,115,60,125,54,52,113,102,5.6,18.8,77,143,Atypical Angina,False,0.1,False,Former,6.7,98,6.5,62.0,False,6127,80.9,0
+8552,65,Male,157,91,194,58,101,207,142,6.3,27.8,70,135,Non-Anginal Pain,False,1.2,True,Never,5.5,164,8.3,59.9,False,5254,43.4,1
+8553,59,Female,157,103,183,62,91,147,103,5.2,22.0,82,139,Typical Angina,True,5.4,False,Never,3.5,130,7.4,81.2,False,6998,58.4,1
+8554,42,Male,122,83,117,43,64,75,142,6.1,26.9,80,198,Asymptomatic,False,1.2,False,Former,5.3,158,7.8,44.2,True,7933,68.4,0
+8555,57,Female,134,90,196,66,103,139,99,5.6,34.9,82,133,Typical Angina,False,1.4,False,Never,2.2,116,8.4,32.3,True,9226,72.3,1
+8556,40,Female,113,62,214,63,96,219,136,6.6,29.6,89,197,Asymptomatic,False,0.7,False,Never,0.4,345,5.1,51.1,True,9358,58.1,0
+8557,61,Female,145,104,117,63,35,167,131,6.6,17.7,83,154,Asymptomatic,False,0.7,False,Former,1.9,197,7.9,50.0,True,5100,51.8,0
+8558,50,Female,129,81,117,51,44,145,141,5.8,21.1,83,170,Non-Anginal Pain,False,0.9,False,Never,0.4,52,7.7,71.1,True,6985,52.3,0
+8559,45,Male,101,68,226,55,132,245,113,5.5,25.9,65,155,Atypical Angina,True,2.6,False,Never,5.7,88,6.7,62.6,False,5060,55.1,1
+8560,55,Female,121,88,193,68,102,159,132,6.3,24.3,82,167,Non-Anginal Pain,False,0.1,False,Former,3.9,223,8.3,48.9,False,7487,61.5,0
+8561,45,Male,152,97,169,34,115,131,148,5.7,33.9,89,165,Typical Angina,True,1.7,False,Current,4.0,90,6.8,49.0,False,5245,57.3,1
+8562,39,Female,128,77,182,57,86,182,65,4.0,19.7,81,175,Asymptomatic,False,0.3,False,Never,19.3,221,6.1,56.0,True,6379,45.6,0
+8563,62,Male,137,78,136,63,65,38,138,6.1,21.7,81,147,Atypical Angina,False,1.1,False,Former,12.3,0,7.4,51.0,False,4886,73.3,0
+8564,45,Male,102,72,180,79,83,119,72,4.8,17.5,92,190,Asymptomatic,False,0.8,False,Never,6.9,138,6.2,43.6,False,9438,60.6,0
+8565,71,Female,119,96,227,55,144,124,131,6.3,26.9,77,135,Non-Anginal Pain,False,0.4,True,Never,0.7,121,5.6,24.6,False,5155,60.7,1
+8566,69,Female,133,79,163,62,68,215,111,4.9,20.9,96,160,Asymptomatic,False,1.3,False,Former,4.5,89,8.3,63.6,False,5803,37.7,0
+8567,65,Female,131,78,169,48,97,162,143,6.3,34.0,84,174,Asymptomatic,False,0.1,False,Never,0.8,38,7.3,56.3,True,6607,56.9,0
+8568,36,Male,111,74,160,52,83,141,95,4.9,21.3,98,189,Asymptomatic,False,0.1,False,Current,13.3,160,8.0,12.1,True,8750,58.9,0
+8569,62,Male,143,94,180,36,100,215,114,5.8,26.2,82,142,Asymptomatic,True,2.2,False,Never,3.7,150,6.0,71.8,True,5200,34.4,1
+8570,43,Male,135,94,189,62,69,258,165,7.2,33.2,73,190,Atypical Angina,True,0.1,False,Former,7.8,56,5.9,56.7,False,4884,65.3,0
+8571,67,Female,154,100,127,43,47,215,139,5.9,30.5,95,124,Atypical Angina,False,1.1,False,Never,6.7,67,6.4,69.1,False,6730,61.2,1
+8572,41,Female,130,90,186,37,137,119,116,6.0,32.6,89,173,Asymptomatic,False,1.7,False,Never,2.7,92,6.7,35.4,False,3448,37.9,0
+8573,51,Male,132,70,230,63,128,207,105,5.6,26.0,79,185,Asymptomatic,False,0.5,False,Never,2.4,93,5.8,68.6,False,1729,86.5,0
+8574,63,Male,126,88,182,67,74,136,105,5.5,20.3,80,160,Typical Angina,False,0.3,False,Former,2.0,190,6.8,59.0,True,6807,79.1,0
+8575,47,Female,123,85,225,71,119,133,131,6.3,25.4,84,195,Asymptomatic,False,0.5,False,Never,17.8,120,7.2,31.8,False,6223,52.9,0
+8576,49,Female,128,85,152,49,92,59,102,5.8,19.7,78,171,Asymptomatic,False,0.6,False,Never,1.7,94,5.5,73.4,False,3764,78.5,0
+8577,56,Male,142,95,189,54,103,127,99,5.1,21.9,60,176,Typical Angina,False,0.0,True,Never,9.1,260,6.3,57.1,True,6634,77.3,0
+8578,52,Male,121,80,181,47,116,136,111,5.7,26.3,85,183,Non-Anginal Pain,False,0.4,True,Never,1.8,199,6.3,59.7,True,9244,51.2,0
+8579,57,Female,146,89,157,55,69,165,98,5.1,18.5,74,149,Non-Anginal Pain,False,0.2,False,Former,11.3,184,6.7,69.9,False,4689,82.6,0
+8580,57,Female,129,63,128,54,53,132,126,6.0,25.8,69,174,Asymptomatic,False,0.3,False,Never,1.1,156,7.6,73.3,True,7879,53.4,0
+8581,38,Male,122,76,210,42,131,281,88,4.8,28.8,97,167,Non-Anginal Pain,True,0.6,False,Current,5.9,96,6.3,61.0,False,4517,42.7,1
+8582,85,Male,144,105,200,59,109,177,108,5.7,22.3,91,134,Asymptomatic,False,0.1,False,Current,15.8,78,6.2,39.5,False,4383,57.0,0
+8583,69,Male,112,81,245,36,158,214,132,6.5,29.2,86,157,Non-Anginal Pain,True,0.2,False,Former,3.9,146,7.6,39.8,False,2875,50.0,0
+8584,61,Male,127,75,136,60,37,194,141,6.0,28.8,88,152,Typical Angina,False,2.4,False,Never,16.9,206,7.5,51.9,True,8525,42.6,1
+8585,45,Male,122,69,189,72,89,152,121,5.7,26.8,78,169,Asymptomatic,False,0.3,False,Never,4.2,206,5.1,63.6,True,5897,88.5,0
+8586,67,Female,135,90,190,68,104,97,104,5.5,24.3,79,161,Asymptomatic,False,0.7,True,Former,1.0,132,6.2,50.6,True,5488,86.1,0
+8587,48,Female,143,98,172,45,81,222,128,6.0,18.0,83,190,Atypical Angina,False,0.5,False,Never,39.8,203,6.1,62.8,True,11177,57.5,0
+8588,55,Male,135,91,219,48,133,190,119,6.7,30.8,83,177,Non-Anginal Pain,True,0.6,False,Former,12.1,238,5.3,46.5,True,6384,26.1,0
+8589,51,Female,151,91,191,68,81,190,130,6.0,30.0,87,166,Asymptomatic,False,0.1,False,Never,1.1,83,6.3,59.5,True,6869,76.5,0
+8590,57,Male,119,83,121,44,68,84,129,5.4,24.3,80,141,Non-Anginal Pain,True,2.3,False,Never,3.2,211,4.8,32.4,True,10027,82.1,1
+8591,76,Male,131,85,213,55,124,163,103,5.4,29.1,83,142,Atypical Angina,False,1.8,False,Never,1.6,288,6.6,50.2,True,4282,72.7,1
+8592,49,Female,142,82,156,36,85,161,122,6.1,30.3,84,181,Non-Anginal Pain,False,0.3,False,Current,2.2,19,7.0,49.8,False,6794,64.6,0
+8593,72,Female,137,77,135,63,55,133,169,7.3,20.1,85,133,Atypical Angina,False,0.3,False,Never,3.4,102,8.5,53.5,True,8757,72.3,0
+8594,61,Male,131,91,213,53,116,191,139,6.6,26.4,86,190,Non-Anginal Pain,False,0.1,False,Current,5.4,151,6.3,69.3,True,8220,54.5,0
+8595,43,Female,105,71,166,37,97,186,97,5.7,20.2,81,185,Asymptomatic,False,3.0,False,Current,5.5,22,6.5,44.3,False,3783,46.0,1
+8596,84,Female,126,79,141,79,37,73,124,5.9,22.8,72,144,Non-Anginal Pain,False,0.9,False,Never,7.8,84,6.1,29.0,False,2665,84.9,0
+8597,64,Male,127,73,113,51,55,35,94,4.9,19.1,75,153,Atypical Angina,False,1.0,False,Never,2.2,315,8.6,12.5,True,7745,71.5,0
+8598,35,Male,115,67,168,52,83,158,105,4.7,23.7,80,194,Atypical Angina,False,0.2,False,Never,3.1,99,7.5,60.8,False,6787,64.8,0
+8599,50,Female,122,81,171,51,91,153,120,6.5,20.6,78,146,Non-Anginal Pain,False,1.3,False,Current,3.8,62,5.7,53.3,False,6933,73.4,0
+8600,43,Female,115,71,220,72,126,148,124,5.7,31.7,92,191,Asymptomatic,False,0.6,True,Never,7.4,72,6.2,27.1,False,4398,77.2,0
+8601,43,Female,138,79,291,71,161,245,127,6.0,26.4,79,171,Non-Anginal Pain,False,0.6,False,Former,5.5,143,7.1,64.4,False,4318,29.7,0
+8602,44,Male,159,91,220,40,131,152,135,5.9,29.5,86,142,Non-Anginal Pain,True,4.7,False,Former,7.7,14,6.2,58.2,False,6081,36.4,1
+8603,55,Female,134,87,187,60,96,180,115,6.1,26.2,89,153,Asymptomatic,False,0.5,True,Never,2.2,116,7.3,45.5,False,5767,60.4,0
+8604,56,Male,114,82,154,46,65,135,116,5.6,25.4,77,165,Asymptomatic,False,0.7,True,Never,3.6,197,7.8,42.8,True,8401,62.9,0
+8605,64,Male,121,86,187,44,110,161,106,5.8,19.5,77,148,Asymptomatic,False,0.1,False,Never,3.2,116,7.4,43.8,False,2432,70.9,0
+8606,55,Male,132,98,204,42,131,135,144,6.1,30.6,75,173,Atypical Angina,True,3.4,False,Current,3.5,233,5.7,19.7,True,7808,51.3,1
+8607,55,Female,143,90,273,51,176,195,105,5.9,30.1,53,138,Asymptomatic,True,1.9,True,Never,7.1,35,9.0,33.7,True,8351,41.7,1
+8608,73,Male,135,83,183,44,98,166,129,6.0,25.0,80,141,Asymptomatic,False,1.0,False,Never,6.4,119,7.4,50.6,True,5769,58.6,0
+8609,46,Male,147,97,167,50,73,215,122,6.0,20.7,77,176,Typical Angina,True,0.6,True,Current,9.4,140,7.7,69.5,False,7005,52.1,1
+8610,61,Female,123,82,266,66,159,144,78,5.0,25.5,79,170,Asymptomatic,False,0.4,True,Former,2.8,195,7.1,58.3,True,3241,47.8,0
+8611,68,Male,112,63,198,57,111,157,124,6.5,18.4,70,155,Asymptomatic,True,0.4,False,Former,16.5,66,5.1,71.6,False,7441,56.8,1
+8612,68,Male,113,71,226,66,119,181,109,6.2,21.2,68,183,Asymptomatic,False,1.4,False,Former,7.5,203,7.3,39.2,True,7886,53.1,0
+8613,45,Male,101,59,152,62,68,95,120,6.3,20.9,82,169,Typical Angina,False,2.2,False,Former,6.9,176,7.8,18.3,True,10061,80.8,0
+8614,49,Female,145,88,236,54,132,171,143,6.4,27.4,83,154,Non-Anginal Pain,True,2.6,False,Never,6.2,50,5.6,53.3,False,3589,45.7,1
+8615,53,Male,130,76,224,43,119,297,116,5.3,31.6,73,183,Asymptomatic,False,0.2,False,Never,2.6,209,6.5,28.4,True,6290,24.2,0
+8616,63,Female,133,101,139,67,41,169,120,6.5,25.3,84,152,Asymptomatic,False,0.4,True,Never,9.0,106,6.1,11.8,False,5817,64.5,0
+8617,68,Female,123,86,164,70,78,119,121,5.9,21.3,85,140,Asymptomatic,False,0.4,False,Current,8.0,174,6.1,70.7,True,7187,70.4,0
+8618,53,Male,134,92,144,42,82,152,94,5.4,26.5,86,182,Asymptomatic,False,0.7,True,Former,4.0,133,7.4,40.5,True,6628,67.3,0
+8619,73,Male,122,77,169,65,99,53,131,6.5,24.5,85,130,Typical Angina,True,0.2,False,Never,2.3,120,8.3,47.7,True,6912,57.7,1
+8620,62,Male,139,83,181,35,109,163,125,5.8,27.1,79,165,Asymptomatic,False,1.9,False,Former,14.4,116,6.6,46.3,False,7517,48.4,1
+8621,45,Male,127,75,166,51,84,166,126,6.3,22.3,81,182,Non-Anginal Pain,True,1.2,False,Never,12.0,82,7.4,71.7,False,6691,46.1,0
+8622,66,Male,135,74,181,41,94,204,135,5.9,29.1,90,194,Non-Anginal Pain,False,1.2,False,Former,3.3,117,6.4,26.0,False,2841,61.8,0
+8623,32,Male,127,70,143,52,78,125,113,5.1,21.5,96,176,Asymptomatic,False,0.8,False,Never,12.7,133,7.8,58.2,False,4701,62.0,0
+8624,53,Female,118,76,113,65,41,117,122,5.6,23.1,84,166,Asymptomatic,False,0.5,False,Former,0.3,147,6.8,21.0,True,5577,72.2,0
+8625,29,Male,120,76,215,63,119,111,134,5.7,18.8,71,207,Atypical Angina,True,1.5,False,Former,2.9,205,6.6,52.7,True,9028,28.2,0
+8626,56,Female,134,76,150,69,50,143,108,5.6,31.2,83,209,Asymptomatic,False,1.3,True,Never,6.2,118,7.0,34.8,False,4295,79.7,0
+8627,68,Female,128,79,113,39,76,45,86,5.0,17.7,90,133,Atypical Angina,True,0.3,True,Former,1.0,85,7.7,25.0,True,5371,57.0,1
+8628,64,Male,132,86,214,66,121,157,113,5.8,15.6,73,164,Non-Anginal Pain,False,0.1,True,Former,18.7,207,5.7,42.7,False,4891,63.9,0
+8629,25,Male,112,81,160,53,101,130,138,5.7,19.8,64,210,Typical Angina,False,1.2,True,Never,4.3,152,8.3,32.6,True,6397,43.3,0
+8630,58,Female,143,98,219,81,121,151,137,6.7,30.7,82,184,Asymptomatic,False,0.1,True,Never,2.9,98,8.0,83.5,True,6631,69.7,0
+8631,63,Male,137,87,176,50,97,163,104,5.5,23.9,71,160,Typical Angina,False,0.3,False,Never,9.9,183,7.1,53.1,True,7238,73.4,0
+8632,65,Female,138,93,114,47,66,45,105,5.6,24.2,84,146,Asymptomatic,False,1.4,False,Never,6.6,128,9.7,27.1,True,5522,69.6,1
+8633,63,Female,163,104,230,74,104,146,101,5.4,32.9,83,148,Asymptomatic,False,2.0,False,Former,3.3,121,6.5,39.4,True,7286,51.9,0
+8634,65,Female,134,87,206,52,113,191,137,6.0,23.2,90,166,Non-Anginal Pain,False,0.1,False,Never,20.4,65,6.2,57.7,False,4966,44.4,0
+8635,36,Female,102,68,128,53,60,90,78,5.1,21.0,80,192,Atypical Angina,False,0.8,False,Never,0.3,185,5.9,35.8,True,7770,81.7,0
+8636,54,Male,152,92,183,51,101,175,116,5.8,18.8,90,181,Asymptomatic,False,1.8,False,Former,2.3,113,8.1,43.0,True,6774,66.0,0
+8637,46,Female,139,91,222,78,100,187,96,4.9,25.5,86,159,Atypical Angina,False,0.1,False,Current,6.9,229,7.1,69.8,True,7966,42.8,0
+8638,53,Female,129,85,166,56,81,193,75,4.7,28.6,74,195,Asymptomatic,True,0.8,False,Never,2.1,154,7.1,71.4,True,5147,58.8,0
+8639,58,Male,106,79,219,68,122,129,165,7.3,21.7,78,161,Non-Anginal Pain,False,0.2,True,Current,5.1,95,5.5,49.2,False,4325,65.0,0
+8640,43,Female,123,78,192,54,111,89,111,5.6,20.2,78,198,Typical Angina,False,2.3,False,Current,2.4,202,8.0,53.7,True,6528,34.5,0
+8641,48,Male,140,90,160,49,97,53,137,6.1,28.8,95,191,Non-Anginal Pain,False,0.5,False,Never,1.7,186,7.5,48.6,False,6363,55.6,0
+8642,62,Female,127,74,252,57,155,188,120,5.8,25.4,67,135,Asymptomatic,True,0.9,True,Never,13.4,168,6.8,60.5,True,7063,67.2,1
+8643,47,Female,102,66,176,55,87,189,104,5.3,22.8,81,161,Typical Angina,False,0.1,False,Former,1.6,172,7.5,31.4,True,6348,67.7,0
+8644,49,Female,122,84,201,79,96,142,138,6.2,21.7,93,161,Asymptomatic,False,0.3,False,Never,2.4,176,6.1,54.3,True,7164,67.4,0
+8645,55,Female,154,90,218,58,117,180,133,6.4,26.8,79,151,Typical Angina,False,0.3,False,Never,6.8,134,6.6,40.7,True,8047,55.5,1
+8646,71,Male,111,65,168,53,89,172,117,5.2,22.3,83,179,Non-Anginal Pain,False,1.0,True,Current,3.4,209,6.5,20.4,False,8243,46.6,0
+8647,50,Female,136,81,232,49,138,231,77,4.0,26.2,73,162,Asymptomatic,False,0.1,False,Never,2.5,100,7.3,38.3,True,8038,37.2,0
+8648,34,Male,111,61,207,50,129,142,120,6.1,24.7,84,181,Atypical Angina,False,2.5,False,Former,15.1,0,9.1,77.5,False,3533,39.6,1
+8649,42,Male,118,72,159,61,75,109,162,7.4,23.2,73,190,Atypical Angina,False,0.0,True,Never,2.5,267,6.7,39.5,True,7623,49.2,0
+8650,56,Female,135,74,216,75,112,160,104,5.3,23.3,57,182,Non-Anginal Pain,False,0.0,False,Never,1.6,243,6.7,65.7,True,5693,51.5,0
+8651,32,Female,119,73,213,57,119,123,131,5.5,28.2,69,180,Typical Angina,False,1.1,False,Current,2.8,100,6.3,53.2,False,4539,62.3,0
+8652,43,Female,128,73,241,66,138,175,103,5.5,27.7,76,167,Asymptomatic,False,0.6,False,Never,2.1,320,5.9,54.5,True,7197,67.3,0
+8653,43,Male,110,57,128,47,56,106,72,4.1,19.9,79,185,Asymptomatic,False,0.5,False,Never,3.6,204,6.7,75.1,False,4596,84.7,0
+8654,79,Female,139,90,178,53,92,146,113,5.3,23.2,84,120,Asymptomatic,False,0.9,True,Never,0.6,45,5.7,32.1,False,5104,49.8,1
+8655,64,Male,153,87,156,57,62,163,140,6.3,28.4,76,160,Asymptomatic,False,1.2,False,Never,10.5,74,7.4,40.0,False,5738,73.2,0
+8656,44,Female,131,87,211,68,137,46,79,4.0,21.6,77,199,Typical Angina,False,0.5,False,Former,2.3,183,8.9,45.3,False,5082,60.2,0
+8657,42,Male,124,86,189,53,107,136,88,4.6,16.4,89,200,Asymptomatic,False,0.1,True,Former,1.8,196,7.0,83.1,False,3687,70.6,0
+8658,38,Male,115,84,136,50,86,57,122,5.9,29.6,74,170,Atypical Angina,False,0.9,False,Former,2.5,131,8.1,45.7,False,8086,67.3,0
+8659,55,Female,118,83,201,64,109,154,96,5.6,24.7,73,162,Asymptomatic,False,1.5,False,Never,10.2,146,7.8,57.6,False,6087,60.9,0
+8660,53,Female,127,85,190,59,101,153,94,5.7,27.9,82,186,Typical Angina,True,1.0,False,Never,5.2,226,7.2,13.8,True,11923,61.5,0
+8661,36,Female,126,86,207,67,110,117,110,5.9,26.5,72,193,Non-Anginal Pain,False,0.6,False,Never,0.3,145,4.9,52.9,False,8581,57.9,0
+8662,59,Male,126,87,207,60,128,161,125,6.1,25.8,79,161,Asymptomatic,False,0.8,False,Never,11.8,199,5.6,50.0,False,2939,68.7,0
+8663,68,Male,132,83,234,46,162,167,147,7.0,18.6,77,182,Asymptomatic,True,0.0,True,Current,9.9,88,6.9,68.2,False,6560,53.0,0
+8664,61,Male,125,81,227,55,136,188,138,6.3,22.2,91,149,Typical Angina,False,1.6,True,Current,3.4,145,5.9,50.0,False,3486,70.3,1
+8665,54,Male,143,90,166,52,103,35,121,5.9,25.3,78,192,Atypical Angina,True,1.0,False,Current,10.1,187,6.9,52.5,False,7160,83.9,0
+8666,72,Male,130,80,231,46,161,203,161,6.4,31.6,73,131,Typical Angina,True,2.9,False,Current,2.1,75,6.3,50.2,False,6560,33.5,1
+8667,58,Female,127,75,114,49,35,204,118,6.2,27.5,83,159,Asymptomatic,False,0.1,False,Never,0.6,37,8.0,46.7,False,3512,71.5,0
+8668,58,Female,150,92,241,90,121,156,129,6.3,20.3,74,188,Typical Angina,False,0.6,False,Never,1.3,253,8.2,21.9,True,5716,58.9,0
+8669,64,Female,132,79,221,57,134,122,85,4.8,23.9,82,122,Typical Angina,False,4.6,False,Never,13.6,104,5.4,45.3,True,7489,38.8,1
+8670,36,Female,93,56,188,69,109,35,118,6.0,18.9,68,188,Atypical Angina,False,1.6,True,Former,17.0,234,7.2,36.2,False,6104,61.4,0
+8671,74,Male,138,94,257,45,163,257,136,6.6,29.4,93,116,Non-Anginal Pain,True,1.2,False,Current,12.5,111,4.0,27.8,True,5942,49.0,1
+8672,56,Male,129,91,259,45,164,220,117,6.4,23.0,79,179,Non-Anginal Pain,False,1.0,False,Never,8.9,89,6.7,59.0,False,2973,34.3,0
+8673,53,Male,152,104,226,73,114,199,121,6.3,28.4,89,174,Atypical Angina,False,1.0,False,Former,20.2,189,6.2,59.4,False,5935,71.8,0
+8674,63,Male,125,68,210,42,112,280,97,5.1,26.1,68,178,Asymptomatic,False,0.6,True,Never,5.2,208,8.4,57.6,True,9509,70.9,0
+8675,40,Male,131,85,159,27,110,136,104,5.6,28.0,79,168,Non-Anginal Pain,False,3.6,False,Former,3.0,52,6.1,40.8,False,4990,64.8,1
+8676,43,Male,127,78,208,39,114,229,70,4.3,29.7,82,173,Non-Anginal Pain,False,0.8,False,Never,2.5,126,8.0,34.9,True,6404,81.7,0
+8677,59,Female,134,78,234,71,132,172,102,5.9,24.8,76,153,Non-Anginal Pain,True,0.8,False,Former,3.8,129,6.3,61.8,True,3332,43.7,0
+8678,61,Female,124,82,187,49,96,132,110,5.4,25.5,68,178,Asymptomatic,True,1.7,True,Former,1.2,164,7.6,42.1,False,4187,40.8,0
+8679,37,Male,116,64,197,75,63,246,95,5.7,29.9,66,205,Typical Angina,False,0.6,True,Never,6.6,206,6.5,2.3,False,3545,60.0,0
+8680,52,Male,117,72,166,55,78,187,115,5.8,27.8,86,162,Typical Angina,False,0.3,True,Never,18.3,174,7.7,32.5,True,7251,74.6,0
+8681,42,Female,116,54,252,55,155,155,113,5.4,25.0,85,139,Typical Angina,True,3.4,False,Current,2.3,98,8.3,52.2,False,2070,54.5,1
+8682,49,Female,123,76,139,30,93,110,117,5.1,27.3,97,155,Atypical Angina,False,0.0,False,Former,8.3,83,6.9,25.5,True,9503,60.0,0
+8683,41,Female,136,83,130,41,66,137,139,6.7,26.8,80,183,Non-Anginal Pain,False,0.6,True,Never,2.5,44,8.2,61.8,False,4645,44.8,0
+8684,64,Female,130,93,215,62,107,152,131,5.7,25.5,78,174,Non-Anginal Pain,False,1.0,False,Current,20.1,252,7.4,41.4,True,8532,81.4,0
+8685,57,Female,128,77,147,50,67,162,135,6.6,21.4,86,150,Asymptomatic,False,1.1,True,Never,1.9,22,6.3,22.8,False,4954,64.9,1
+8686,41,Female,99,64,163,59,85,153,132,6.4,29.9,82,180,Asymptomatic,False,0.5,False,Current,1.6,129,6.2,29.8,False,4709,46.7,0
+8687,59,Male,120,73,182,52,103,162,129,6.1,25.3,80,142,Asymptomatic,True,1.1,False,Current,9.6,66,7.5,56.5,False,4895,34.0,0
+8688,54,Male,124,94,199,61,97,168,97,4.7,20.6,65,164,Asymptomatic,False,1.4,True,Former,12.0,193,8.3,53.6,False,3855,44.2,0
+8689,53,Female,123,79,167,67,68,98,140,6.5,25.8,95,167,Asymptomatic,False,0.1,False,Former,2.0,61,6.9,60.0,False,3057,60.7,0
+8690,36,Female,134,82,150,62,89,84,93,5.2,22.8,77,172,Asymptomatic,False,0.0,True,Never,1.3,90,7.3,55.7,False,3954,78.3,0
+8691,39,Male,119,76,201,63,84,212,117,6.1,22.3,82,161,Asymptomatic,False,0.7,False,Former,1.6,95,6.4,38.0,False,5359,69.0,0
+8692,51,Female,146,101,245,55,149,215,140,6.4,23.2,79,155,Asymptomatic,False,2.5,True,Never,17.4,50,5.6,58.6,False,7101,55.5,1
+8693,42,Female,113,59,153,65,68,99,140,6.0,26.1,77,180,Atypical Angina,False,0.5,False,Never,2.1,248,8.1,30.7,True,8031,55.1,0
+8694,48,Male,114,65,107,43,55,56,108,5.7,17.7,74,172,Asymptomatic,False,0.7,False,Former,3.7,41,7.4,72.3,False,4361,58.8,0
+8695,61,Male,117,70,160,44,91,146,146,6.5,21.6,90,141,Typical Angina,True,1.0,False,Never,17.8,94,8.1,33.1,True,7115,37.3,1
+8696,63,Male,140,91,250,63,162,95,134,6.5,34.2,81,142,Asymptomatic,False,1.8,False,Never,3.8,125,8.4,58.5,True,6892,68.0,0
+8697,52,Female,130,82,177,62,92,83,108,5.1,22.4,80,161,Asymptomatic,False,1.1,True,Never,1.4,71,6.9,52.7,False,5621,52.6,0
+8698,49,Female,133,82,180,52,110,106,116,5.6,22.4,83,160,Asymptomatic,False,1.5,True,Never,7.2,110,6.9,48.1,True,7483,51.0,1
+8699,30,Female,121,77,231,58,145,153,123,6.0,25.1,87,188,Asymptomatic,False,0.4,False,Current,1.4,189,6.9,26.1,False,10086,59.0,0
+8700,53,Male,116,72,226,51,127,191,130,6.3,27.4,104,166,Typical Angina,False,0.3,False,Never,4.1,181,7.0,61.4,True,7924,48.9,0
+8701,48,Male,107,59,173,57,94,148,132,6.1,29.2,80,172,Asymptomatic,False,0.4,False,Former,2.2,118,7.3,65.7,True,4941,64.4,0
+8702,49,Female,143,84,229,66,121,196,75,5.3,31.5,82,163,Typical Angina,True,1.3,True,Never,13.5,61,4.2,39.3,False,4766,38.6,0
+8703,61,Female,146,93,198,75,88,176,152,6.3,25.5,80,162,Asymptomatic,False,0.0,False,Never,2.9,229,7.4,41.4,True,6969,54.1,0
+8704,37,Female,131,87,187,52,100,139,118,5.5,20.0,77,198,Asymptomatic,True,0.5,True,Never,11.1,135,6.5,48.5,False,4672,65.2,0
+8705,63,Male,153,88,252,50,155,174,114,5.6,24.5,75,139,Asymptomatic,False,4.7,False,Never,4.5,138,6.3,11.4,False,7052,28.7,1
+8706,41,Female,117,80,226,67,127,182,95,5.0,23.7,82,192,Non-Anginal Pain,False,1.0,False,Former,1.6,133,7.8,50.9,False,6238,60.4,0
+8707,35,Female,119,63,126,62,57,75,107,5.1,26.0,79,190,Asymptomatic,False,0.4,False,Never,1.3,153,6.8,44.8,False,5346,65.1,0
+8708,42,Male,119,79,187,58,106,103,117,5.6,25.4,64,198,Atypical Angina,False,0.2,False,Never,4.1,50,7.1,34.6,False,3689,66.0,0
+8709,39,Female,111,61,187,52,79,193,139,6.2,30.8,101,164,Asymptomatic,False,1.8,False,Former,16.1,77,7.9,76.2,False,4306,39.7,1
+8710,52,Male,133,78,183,41,117,131,141,6.8,29.4,84,146,Non-Anginal Pain,False,0.6,False,Former,1.6,60,6.7,49.9,False,6408,37.7,1
+8711,77,Male,124,84,180,57,95,162,102,5.4,21.6,86,146,Asymptomatic,False,0.1,True,Former,5.8,144,5.7,49.1,False,4099,67.2,0
+8712,75,Female,140,88,212,49,119,190,106,5.0,28.9,75,131,Asymptomatic,False,1.1,False,Never,2.8,118,6.9,42.5,True,5376,34.9,1
+8713,50,Male,124,90,109,44,63,57,123,6.0,21.7,87,174,Asymptomatic,False,1.2,False,Current,1.8,132,8.1,33.3,True,9364,67.0,0
+8714,51,Male,130,72,147,48,55,192,139,5.7,22.7,82,181,Asymptomatic,False,0.5,True,Former,3.1,79,5.3,34.1,False,6280,44.9,0
+8715,70,Male,142,92,216,48,124,168,121,6.6,30.4,82,155,Asymptomatic,False,0.2,False,Former,5.6,107,7.0,46.9,False,2775,62.3,0
+8716,66,Male,181,109,246,66,138,146,154,6.7,28.1,91,135,Atypical Angina,True,1.6,False,Never,14.6,95,5.6,65.4,False,2469,56.6,1
+8717,43,Female,110,75,214,71,106,178,100,5.9,22.7,75,159,Non-Anginal Pain,False,0.4,True,Former,9.0,117,6.9,61.2,False,7613,68.3,0
+8718,61,Male,131,91,137,50,70,120,81,5.0,19.4,71,145,Typical Angina,False,2.3,False,Former,4.3,173,8.8,58.4,True,5789,32.0,0
+8719,58,Female,140,85,179,30,128,119,125,5.7,29.7,71,176,Asymptomatic,False,2.2,False,Former,12.1,79,5.5,38.8,False,7244,49.2,0
+8720,68,Female,140,92,179,32,104,243,125,5.7,29.7,84,155,Asymptomatic,False,0.5,False,Never,5.1,236,6.3,78.9,False,4772,57.9,0
+8721,87,Male,153,100,192,66,115,79,116,5.4,27.6,79,132,Asymptomatic,True,1.4,True,Never,3.5,178,7.2,56.8,False,4767,66.2,1
+8722,52,Female,130,84,154,51,70,168,93,5.5,25.7,79,160,Typical Angina,True,0.6,False,Former,12.0,37,7.5,57.2,False,4489,74.8,1
+8723,63,Male,142,92,187,34,120,159,120,5.8,24.8,89,139,Atypical Angina,False,1.6,False,Former,4.5,86,6.9,35.4,False,3672,75.8,1
+8724,55,Male,124,73,135,52,72,154,115,5.4,27.8,76,196,Asymptomatic,False,0.4,False,Former,15.3,132,5.9,36.2,False,4028,83.5,0
+8725,56,Female,140,87,163,38,115,189,102,5.5,27.7,78,144,Atypical Angina,False,1.3,False,Never,4.9,116,6.2,60.6,False,6483,49.1,1
+8726,43,Male,113,86,180,65,81,190,122,5.8,17.6,69,194,Non-Anginal Pain,False,0.8,False,Former,3.0,182,7.6,57.2,True,6940,43.6,0
+8727,50,Male,115,63,227,63,135,116,136,5.4,28.0,79,186,Non-Anginal Pain,False,1.2,True,Former,11.6,202,6.6,47.0,False,4923,62.1,0
+8728,60,Male,110,78,232,58,147,133,135,5.9,23.9,93,167,Asymptomatic,False,1.8,False,Current,6.4,175,5.5,23.6,False,10342,66.4,0
+8729,43,Male,116,70,179,64,96,134,120,6.1,22.7,82,182,Atypical Angina,False,1.2,False,Never,2.9,243,6.0,35.8,True,8353,57.6,0
+8730,59,Female,123,66,186,54,94,173,109,5.3,27.7,88,163,Asymptomatic,False,0.4,False,Never,4.7,157,7.1,60.3,False,5691,50.1,0
+8731,58,Female,168,104,202,33,162,36,140,6.4,21.3,87,157,Asymptomatic,False,0.3,False,Current,3.1,85,7.4,64.2,False,3094,61.8,1
+8732,51,Female,118,64,193,59,100,184,151,6.5,25.6,93,176,Atypical Angina,False,0.3,False,Former,0.2,94,5.9,46.7,False,7009,60.5,0
+8733,80,Female,158,104,253,77,150,165,143,6.7,24.5,87,124,Non-Anginal Pain,True,2.0,False,Current,2.5,179,7.2,33.3,True,5898,37.9,1
+8734,67,Female,134,88,224,46,135,201,116,5.1,25.3,88,166,Non-Anginal Pain,False,0.6,False,Never,9.6,198,8.4,46.9,True,5265,77.9,0
+8735,64,Female,113,74,252,81,117,187,133,6.3,23.9,81,127,Asymptomatic,False,0.8,True,Former,2.2,154,7.2,42.3,False,5612,50.9,1
+8736,68,Female,132,91,172,71,76,117,154,6.8,22.7,85,175,Asymptomatic,False,0.0,True,Former,7.3,250,7.7,66.8,True,5710,69.5,0
+8737,56,Male,119,68,128,45,62,71,133,5.8,20.9,81,179,Non-Anginal Pain,False,0.2,False,Former,3.7,174,5.2,52.3,True,6946,64.8,0
+8738,49,Female,125,85,229,57,121,205,119,6.4,30.8,85,182,Non-Anginal Pain,True,0.1,True,Never,1.6,151,7.8,37.7,True,10787,50.8,0
+8739,62,Female,114,62,145,43,79,159,91,4.9,21.9,75,165,Non-Anginal Pain,False,0.6,False,Never,11.0,158,9.0,35.9,True,7368,85.7,0
+8740,58,Male,139,86,189,52,99,186,123,5.6,25.0,68,179,Asymptomatic,False,0.1,False,Never,3.3,146,5.3,4.4,False,4101,59.7,0
+8741,64,Male,145,100,148,50,71,115,129,5.7,21.5,94,161,Asymptomatic,False,1.6,True,Never,2.9,4,6.9,37.2,False,4749,41.8,0
+8742,57,Male,137,85,205,37,137,102,142,6.4,28.6,69,184,Typical Angina,True,1.1,True,Never,1.6,217,9.4,26.1,True,7866,77.1,1
+8743,51,Female,111,67,180,75,85,101,146,6.2,20.9,80,195,Asymptomatic,True,0.3,False,Current,1.6,158,5.4,43.4,True,6770,48.2,0
+8744,48,Female,124,85,158,33,110,72,124,5.8,32.4,82,166,Non-Anginal Pain,False,1.2,False,Current,0.2,75,6.5,57.0,True,7006,59.9,1
+8745,39,Female,107,57,185,53,101,113,125,5.8,26.1,76,190,Typical Angina,False,2.4,False,Never,5.0,111,5.6,13.7,True,8247,62.6,0
+8746,39,Female,112,74,153,64,74,137,85,4.7,24.8,76,184,Asymptomatic,False,0.1,False,Never,2.3,303,7.8,42.7,True,10387,62.5,0
+8747,70,Female,146,101,165,52,81,141,174,7.5,28.4,90,137,Asymptomatic,False,1.1,True,Former,11.7,38,6.7,50.1,False,6463,73.2,1
+8748,55,Male,135,83,174,50,104,90,84,5.0,26.5,82,169,Asymptomatic,False,0.2,False,Current,5.6,246,8.0,27.3,True,8003,76.8,0
+8749,57,Female,129,76,207,64,123,150,125,5.8,24.4,77,144,Asymptomatic,True,4.0,False,Never,2.8,213,7.8,50.4,True,6561,65.9,1
+8750,45,Male,127,89,208,70,105,144,143,6.5,22.5,65,185,Asymptomatic,False,0.1,False,Never,13.1,110,7.8,61.8,False,3216,55.8,0
+8751,46,Male,137,85,160,51,73,139,113,5.3,22.2,80,171,Asymptomatic,True,0.2,False,Current,3.1,152,6.5,42.9,True,5247,65.4,1
+8752,60,Male,147,92,183,50,91,168,136,6.6,30.8,81,124,Atypical Angina,False,1.6,True,Never,4.9,93,8.2,42.4,False,6544,52.2,1
+8753,56,Male,137,86,184,51,103,124,114,5.4,21.7,88,155,Asymptomatic,False,2.2,True,Never,3.5,143,8.5,85.1,False,5412,64.3,1
+8754,73,Male,147,89,160,55,89,117,164,6.9,20.8,75,136,Asymptomatic,False,0.3,False,Never,19.9,112,7.6,87.5,True,7830,54.4,0
+8755,25,Male,123,73,211,47,115,266,127,5.6,27.9,78,196,Asymptomatic,False,0.5,True,Never,28.7,124,8.3,61.9,True,7991,47.5,0
+8756,56,Female,125,90,187,60,94,125,135,6.1,34.0,81,171,Non-Anginal Pain,False,0.4,False,Never,3.0,133,7.0,48.2,True,7427,50.3,0
+8757,58,Male,126,85,198,37,111,221,136,6.4,31.3,81,170,Asymptomatic,True,2.4,False,Current,3.5,69,6.1,40.6,False,5800,29.0,1
+8758,47,Male,110,70,180,66,89,108,91,4.7,23.1,84,158,Non-Anginal Pain,False,2.4,True,Never,2.4,206,5.6,74.5,False,7590,80.1,1
+8759,62,Male,131,103,177,49,84,189,149,7.1,20.8,82,166,Non-Anginal Pain,False,0.1,False,Never,12.7,83,7.1,26.5,False,5548,55.9,0
+8760,49,Female,126,76,215,62,113,141,115,5.9,17.5,86,178,Typical Angina,False,3.3,False,Never,6.3,152,7.4,64.6,False,5643,53.9,0
+8761,54,Male,129,77,194,59,96,144,142,6.4,24.3,83,179,Asymptomatic,False,1.6,True,Never,5.6,90,6.8,75.3,False,7892,74.3,0
+8762,77,Male,136,75,170,45,104,119,109,6.0,29.6,80,138,Asymptomatic,True,1.0,False,Former,2.8,302,7.1,56.7,True,8494,76.4,1
+8763,40,Male,117,80,201,48,116,204,116,5.8,20.8,74,165,Atypical Angina,True,1.4,False,Never,5.9,212,8.7,16.8,True,9990,55.6,1
+8764,60,Female,103,76,187,61,98,170,112,4.9,23.7,65,199,Non-Anginal Pain,False,0.6,True,Former,24.3,239,6.5,38.2,False,8083,70.9,0
+8765,47,Female,130,82,249,52,146,254,130,6.3,33.8,92,159,Non-Anginal Pain,False,1.4,False,Current,0.3,76,6.3,44.2,False,1590,46.6,1
+8766,38,Female,95,63,187,60,106,125,103,5.3,26.9,80,179,Asymptomatic,False,1.2,False,Never,5.0,200,8.5,22.3,False,6706,66.8,0
+8767,59,Female,131,78,126,53,61,76,99,4.7,24.0,75,149,Typical Angina,False,0.3,False,Never,12.2,183,6.4,50.1,False,5798,70.6,0
+8768,23,Male,126,77,176,38,119,95,114,5.5,26.1,70,197,Asymptomatic,False,0.4,False,Current,4.5,155,7.1,39.2,True,10074,18.5,0
+8769,58,Male,114,77,154,45,97,74,94,5.1,17.8,92,155,Typical Angina,False,0.6,False,Current,3.0,148,6.8,50.2,False,5989,75.5,1
+8770,34,Male,120,77,90,21,45,87,135,6.6,25.1,86,175,Atypical Angina,True,1.8,False,Current,1.7,111,6.6,63.9,True,7338,48.8,1
+8771,52,Female,139,82,230,61,120,195,133,6.4,28.5,87,165,Non-Anginal Pain,False,0.8,False,Never,3.2,148,6.2,28.5,True,6549,54.3,0
+8772,43,Female,140,94,206,52,125,158,100,5.2,27.5,74,173,Typical Angina,False,0.5,True,Never,12.3,86,6.2,34.6,False,4263,58.2,1
+8773,64,Male,140,86,135,30,88,107,81,4.0,17.6,76,178,Asymptomatic,False,1.1,False,Never,1.9,168,5.3,31.0,True,6673,86.8,0
+8774,55,Male,129,90,176,38,101,196,152,6.3,27.5,86,169,Asymptomatic,False,0.2,False,Never,2.7,154,7.0,64.7,False,4066,80.5,0
+8775,58,Male,130,76,173,77,66,110,133,5.9,19.9,77,160,Asymptomatic,False,0.5,False,Never,2.7,196,7.0,23.8,True,6859,65.1,0
+8776,35,Female,142,89,202,64,94,167,146,6.5,26.6,85,183,Asymptomatic,False,0.9,False,Never,0.5,145,6.0,54.1,False,8034,73.4,0
+8777,68,Female,119,75,191,62,111,132,101,5.0,34.3,90,145,Atypical Angina,False,0.1,False,Never,7.0,143,8.8,39.4,True,4828,48.8,0
+8778,44,Male,120,78,164,64,70,81,81,4.5,26.8,83,205,Asymptomatic,False,0.1,False,Former,4.0,246,6.7,37.8,True,3629,72.3,0
+8779,70,Male,124,80,202,49,92,152,140,6.7,28.6,83,117,Asymptomatic,True,0.9,False,Never,18.3,200,5.0,39.7,True,4594,63.3,1
+8780,40,Female,123,78,115,55,45,73,60,4.1,22.2,86,167,Atypical Angina,False,4.1,True,Current,0.6,92,6.4,50.4,False,5310,71.2,0
+8781,68,Male,112,60,173,58,92,102,150,6.7,15.0,91,135,Asymptomatic,True,1.2,True,Current,6.8,134,6.9,48.7,True,5019,56.4,1
+8782,64,Female,117,66,157,54,95,84,134,5.8,21.2,93,162,Asymptomatic,False,0.4,False,Never,2.1,186,6.5,65.2,True,9529,64.4,0
+8783,68,Female,135,89,171,63,87,87,159,7.2,26.0,75,157,Non-Anginal Pain,False,0.4,False,Former,4.4,275,6.5,38.0,True,8809,75.3,0
+8784,40,Male,108,55,165,64,56,195,153,6.7,26.5,80,175,Asymptomatic,False,1.2,False,Never,3.5,146,6.7,58.6,False,4714,57.8,0
+8785,48,Male,136,71,173,50,90,103,102,5.3,26.6,99,194,Asymptomatic,True,0.6,False,Never,8.6,189,6.9,64.2,True,10747,55.3,0
+8786,54,Male,115,59,159,57,84,130,132,5.9,23.6,91,159,Asymptomatic,False,0.8,True,Current,11.6,128,7.5,24.5,False,1880,57.0,0
+8787,62,Male,130,71,203,63,101,169,89,4.2,24.3,89,158,Typical Angina,False,0.5,False,Never,1.8,128,5.1,49.3,False,4627,37.9,0
+8788,78,Female,141,89,261,64,152,182,114,5.9,27.7,82,141,Asymptomatic,False,3.0,True,Never,2.1,95,9.7,82.5,False,5348,53.7,1
+8789,51,Female,140,97,188,59,100,177,136,6.1,22.7,88,145,Non-Anginal Pain,True,1.0,False,Never,3.9,23,7.2,56.2,True,7591,61.0,0
+8790,53,Male,102,68,193,44,136,109,111,5.2,27.1,74,156,Asymptomatic,False,0.6,False,Never,8.2,241,7.3,31.6,True,6931,64.4,0
+8791,49,Male,112,71,144,67,53,164,144,6.6,22.9,71,184,Typical Angina,False,0.1,False,Former,5.7,166,6.2,42.5,True,10886,78.9,0
+8792,69,Male,131,82,155,58,66,152,125,5.4,15.5,66,164,Non-Anginal Pain,False,0.4,False,Former,10.9,205,5.2,44.7,True,5487,78.5,0
+8793,45,Female,110,74,178,74,62,150,140,6.4,22.7,82,198,Atypical Angina,False,2.0,False,Never,11.6,128,6.4,54.4,False,4637,64.6,0
+8794,44,Female,105,53,138,43,90,44,144,6.8,22.4,67,201,Asymptomatic,False,0.3,False,Current,1.5,120,7.6,29.6,False,6141,30.8,0
+8795,63,Male,118,75,217,59,116,192,132,5.9,29.1,101,198,Atypical Angina,False,0.3,False,Never,7.8,161,8.2,37.4,False,7463,54.0,0
+8796,50,Female,137,72,215,43,132,214,88,5.0,33.5,89,162,Asymptomatic,False,2.4,True,Current,0.9,43,8.1,49.8,False,5857,61.9,0
+8797,77,Male,148,82,198,53,101,194,100,5.1,23.0,75,125,Asymptomatic,False,1.2,False,Never,10.5,77,8.6,69.8,True,4955,55.6,0
+8798,54,Female,129,84,177,73,90,106,98,5.2,25.4,73,186,Typical Angina,True,0.6,False,Former,12.3,117,6.0,39.6,False,4718,66.1,0
+8799,26,Male,117,66,178,51,115,91,113,5.4,27.2,81,201,Non-Anginal Pain,False,0.9,True,Former,3.1,145,5.2,55.5,True,8907,59.4,0
+8800,48,Male,117,75,226,41,153,146,127,6.0,30.5,88,164,Asymptomatic,True,1.7,False,Former,21.2,82,7.6,70.9,True,6097,54.0,1
+8801,31,Female,121,76,235,61,126,185,124,6.1,25.4,67,210,Asymptomatic,False,0.6,False,Never,5.3,198,6.1,13.8,True,7498,44.4,0
+8802,51,Male,122,78,241,62,126,230,119,5.5,34.8,89,186,Asymptomatic,False,1.3,True,Never,2.2,47,6.5,29.0,False,5206,65.5,0
+8803,49,Male,142,99,155,63,67,118,124,5.9,26.3,70,179,Asymptomatic,False,0.1,False,Never,4.6,93,5.5,39.9,False,7493,43.9,0
+8804,50,Male,120,75,217,56,114,216,137,6.4,28.5,75,170,Typical Angina,False,1.1,False,Current,3.0,199,4.5,30.0,True,9711,70.7,1
+8805,33,Male,126,75,165,55,89,141,130,6.4,28.5,72,206,Non-Anginal Pain,False,0.1,False,Current,4.2,147,8.0,33.2,True,7295,56.9,0
+8806,59,Male,115,74,202,72,108,136,135,6.1,16.7,75,143,Non-Anginal Pain,True,2.9,True,Never,7.0,238,5.4,37.2,True,8408,59.0,1
+8807,39,Female,121,74,200,60,113,111,111,5.1,25.9,72,177,Asymptomatic,False,0.2,True,Never,0.6,180,9.4,21.2,False,7522,53.0,0
+8808,79,Female,156,97,169,52,121,46,129,5.8,25.1,89,113,Asymptomatic,False,0.7,True,Never,6.1,131,7.8,73.5,False,3669,63.1,1
+8809,72,Male,111,73,177,64,90,102,104,5.9,21.4,91,149,Atypical Angina,False,1.4,False,Never,1.9,11,6.8,66.5,False,6389,61.6,0
+8810,35,Female,128,88,195,62,109,127,90,5.4,21.6,83,191,Atypical Angina,True,0.2,True,Never,8.2,67,6.5,52.3,False,8518,55.5,0
+8811,57,Male,124,93,221,49,135,197,127,6.0,27.1,77,173,Asymptomatic,False,0.4,False,Never,8.3,223,5.6,4.2,False,9597,55.4,0
+8812,50,Female,133,88,231,53,128,199,93,5.4,24.0,81,159,Asymptomatic,False,0.7,True,Current,3.9,125,4.9,49.2,False,7452,58.4,1
+8813,63,Male,117,71,225,46,157,131,119,5.5,22.2,86,154,Non-Anginal Pain,False,0.9,False,Current,3.6,86,6.4,69.3,True,3329,30.3,1
+8814,54,Female,135,78,203,46,134,187,116,6.0,16.8,78,163,Non-Anginal Pain,False,1.4,False,Never,2.1,71,8.3,50.5,True,6232,58.6,0
+8815,57,Female,124,65,144,66,46,157,139,5.9,19.7,74,141,Typical Angina,False,0.8,False,Former,16.9,17,6.3,51.7,False,7115,40.9,1
+8816,39,Female,127,80,192,54,110,120,121,5.6,26.0,73,193,Non-Anginal Pain,False,0.2,False,Current,0.6,95,5.0,47.7,False,3251,46.2,0
+8817,35,Male,104,74,192,49,104,214,83,4.3,30.8,74,199,Atypical Angina,False,1.5,False,Former,10.1,280,7.7,22.4,True,10118,17.5,0
+8818,30,Female,135,91,222,56,131,184,120,5.6,29.6,89,190,Atypical Angina,True,0.7,False,Never,3.8,122,6.6,55.1,True,6335,48.9,1
+8819,65,Male,145,88,176,22,120,214,107,5.8,24.6,90,148,Non-Anginal Pain,False,1.1,False,Current,4.2,82,7.4,31.8,False,4260,38.4,1
+8820,58,Male,142,85,192,67,99,106,150,7.0,23.3,68,163,Asymptomatic,True,2.1,True,Never,4.2,180,6.3,32.9,True,10422,62.0,1
+8821,60,Male,156,97,183,48,121,114,100,5.2,26.7,100,139,Non-Anginal Pain,False,1.0,True,Current,4.5,178,6.3,42.4,False,4530,46.3,1
+8822,51,Female,123,75,255,61,124,306,100,5.5,28.4,89,147,Non-Anginal Pain,False,1.0,False,Never,8.8,101,7.0,44.6,True,7030,52.9,1
+8823,55,Female,122,67,216,67,129,35,110,5.6,24.1,87,140,Typical Angina,True,0.7,True,Former,1.0,102,6.4,81.1,False,6121,96.3,1
+8824,42,Male,122,82,156,73,48,177,109,5.1,19.3,79,185,Asymptomatic,False,1.1,False,Never,6.6,242,9.9,56.0,True,6732,59.0,0
+8825,60,Male,141,94,169,43,90,194,140,6.2,29.3,86,134,Asymptomatic,False,0.3,False,Never,2.5,128,6.9,72.4,False,8901,61.3,0
+8826,40,Female,125,81,229,68,129,191,129,5.7,27.6,92,192,Asymptomatic,False,0.9,False,Never,14.0,55,6.5,48.7,False,9542,32.3,0
+8827,49,Female,118,76,166,65,84,115,113,5.8,27.7,101,159,Non-Anginal Pain,False,0.8,False,Current,1.9,51,8.0,52.8,False,2405,76.0,0
+8828,51,Male,118,71,190,48,100,149,101,5.6,18.3,78,158,Asymptomatic,True,1.0,True,Former,3.8,84,7.8,52.0,False,4268,64.0,1
+8829,47,Female,112,71,183,51,107,119,114,5.1,28.1,73,191,Non-Anginal Pain,False,1.2,True,Never,1.6,135,5.7,44.7,False,500,49.0,0
+8830,42,Female,111,64,188,74,97,88,121,6.1,20.0,90,188,Atypical Angina,True,0.7,True,Former,0.6,111,6.8,54.8,False,6713,60.4,0
+8831,57,Male,130,92,177,71,78,125,123,5.0,16.2,75,183,Asymptomatic,False,0.8,False,Never,11.1,227,7.5,34.0,False,7198,91.0,0
+8832,54,Male,114,82,143,39,74,142,111,5.8,21.5,79,157,Atypical Angina,True,0.7,False,Current,1.7,105,6.1,18.8,False,5478,67.2,0
+8833,53,Male,128,76,196,28,158,61,113,5.4,23.1,86,154,Asymptomatic,True,1.8,False,Current,19.0,192,8.1,30.1,True,8882,92.3,1
+8834,54,Male,131,91,192,45,91,246,115,5.6,28.4,82,201,Asymptomatic,False,0.8,False,Never,4.9,144,7.4,78.6,False,8239,50.8,0
+8835,55,Female,148,100,254,68,144,153,122,5.8,25.7,83,161,Non-Anginal Pain,False,2.6,False,Current,5.5,178,6.8,46.3,False,7629,62.9,1
+8836,48,Female,143,104,149,64,49,135,107,5.9,27.0,81,180,Typical Angina,True,0.6,False,Never,5.0,190,8.9,87.6,True,8190,67.3,0
+8837,29,Male,121,88,123,23,88,103,92,5.2,25.9,88,161,Atypical Angina,True,1.5,True,Never,3.7,66,7.2,68.1,False,4018,56.6,1
+8838,57,Male,135,79,219,64,112,193,73,4.8,25.9,78,165,Asymptomatic,False,0.7,False,Current,8.2,366,6.8,56.8,True,7240,70.0,0
+8839,29,Female,124,81,201,68,97,149,101,4.6,25.1,74,199,Asymptomatic,False,1.0,False,Never,15.8,155,7.6,44.8,False,8772,61.2,0
+8840,62,Female,128,92,181,71,82,127,140,6.5,28.0,70,159,Non-Anginal Pain,False,0.8,False,Former,3.6,258,6.4,57.9,True,6942,74.2,0
+8841,56,Female,131,74,155,38,96,180,108,5.2,22.4,96,144,Typical Angina,True,1.5,True,Never,10.7,34,6.2,57.1,True,6863,62.8,1
+8842,40,Male,117,80,141,39,52,173,117,6.0,29.8,82,202,Atypical Angina,True,0.2,True,Never,4.9,213,7.6,38.4,True,4203,54.0,0
+8843,43,Female,132,79,179,68,96,71,77,4.9,23.6,64,175,Non-Anginal Pain,False,0.1,False,Never,8.8,189,7.7,46.9,True,6507,57.4,0
+8844,49,Female,136,74,205,71,121,84,145,6.4,25.5,72,158,Asymptomatic,True,1.8,False,Former,6.6,75,6.4,33.5,False,8015,32.1,1
+8845,64,Female,135,91,187,33,128,237,145,6.7,36.9,91,132,Asymptomatic,False,0.7,False,Never,0.9,120,6.5,100.0,False,6619,68.6,1
+8846,66,Female,129,92,157,76,58,94,117,5.5,23.7,63,156,Atypical Angina,False,1.7,False,Never,0.3,90,6.6,39.8,False,2943,52.7,0
+8847,76,Male,124,78,198,85,84,168,144,6.3,21.3,73,157,Asymptomatic,True,2.1,True,Current,6.4,194,6.4,13.5,True,8810,59.2,0
+8848,63,Male,116,72,281,79,166,118,114,6.2,21.3,81,178,Atypical Angina,False,0.4,False,Current,3.2,156,7.4,17.9,True,4291,88.8,0
+8849,42,Female,122,74,235,55,135,190,104,5.2,24.3,89,159,Non-Anginal Pain,True,2.4,False,Current,4.6,61,7.1,30.0,False,6299,43.2,1
+8850,42,Male,127,81,209,33,124,252,173,7.7,24.1,77,177,Typical Angina,False,1.0,False,Never,11.3,113,6.0,66.4,False,8807,49.9,1
+8851,78,Male,157,95,148,50,81,124,165,6.9,31.8,82,150,Typical Angina,False,0.7,False,Current,3.7,120,8.3,63.7,True,4658,35.4,0
+8852,72,Male,124,71,201,60,104,144,156,6.8,24.5,82,153,Asymptomatic,False,2.6,False,Former,1.6,170,7.0,26.8,True,7628,98.0,0
+8853,57,Male,125,75,225,60,126,131,104,5.8,23.2,84,146,Atypical Angina,False,1.2,True,Never,8.1,36,8.4,42.6,False,4672,40.4,1
+8854,74,Female,143,88,183,77,92,145,156,6.7,21.9,80,160,Atypical Angina,False,1.4,False,Current,3.6,183,8.3,18.7,True,6045,69.5,0
+8855,38,Male,122,71,244,43,157,177,106,5.7,28.4,93,151,Asymptomatic,False,1.8,False,Current,2.6,35,9.3,39.3,False,6159,49.9,1
+8856,77,Male,122,86,205,63,113,135,134,5.7,20.4,104,111,Typical Angina,False,3.6,False,Current,6.3,73,4.1,67.8,False,2215,44.0,1
+8857,60,Male,117,81,195,50,121,152,139,7.0,24.2,80,161,Asymptomatic,False,0.3,False,Never,12.8,50,7.8,43.7,False,902,69.4,0
+8858,60,Female,135,78,233,69,119,147,99,4.4,28.4,85,158,Asymptomatic,True,0.2,True,Never,14.2,182,5.2,64.5,True,8704,53.1,0
+8859,49,Female,127,86,156,39,87,146,139,6.2,26.7,68,184,Asymptomatic,False,1.5,False,Never,21.7,128,6.0,46.5,True,8606,57.3,0
+8860,34,Male,97,70,142,47,76,87,129,6.1,17.0,83,171,Atypical Angina,False,0.8,True,Never,2.3,156,6.7,52.2,True,9861,77.9,0
+8861,58,Male,119,71,229,67,132,177,123,6.0,28.8,63,138,Atypical Angina,False,0.8,False,Current,3.0,235,5.7,51.7,True,6154,57.2,1
+8862,81,Female,152,97,196,52,115,118,143,6.4,29.0,81,119,Asymptomatic,False,1.7,False,Never,4.0,105,6.6,36.9,True,4851,74.2,1
+8863,50,Female,155,108,150,74,45,156,89,5.0,24.7,81,207,Asymptomatic,False,0.4,False,Never,0.4,176,7.8,33.5,False,2774,61.6,0
+8864,45,Male,114,76,168,50,84,175,97,5.5,21.0,91,180,Non-Anginal Pain,False,0.2,False,Current,3.0,203,9.5,88.7,True,9084,81.1,0
+8865,50,Male,133,80,253,56,138,225,119,5.9,36.1,88,159,Asymptomatic,False,1.0,False,Never,5.4,102,6.5,55.2,True,7346,67.1,0
+8866,55,Male,137,89,233,56,148,134,141,5.9,24.0,88,166,Asymptomatic,True,1.2,False,Current,7.1,125,6.4,30.1,False,8440,44.8,1
+8867,41,Female,127,77,206,65,135,35,107,5.3,18.8,89,173,Non-Anginal Pain,False,0.1,False,Former,1.5,135,6.3,47.3,False,7325,51.8,0
+8868,62,Male,142,91,222,59,128,153,101,6.3,25.5,91,124,Asymptomatic,True,0.3,False,Former,18.8,77,6.2,47.3,False,5271,30.2,1
+8869,44,Male,121,81,196,69,103,201,99,5.3,26.3,77,154,Asymptomatic,False,1.0,True,Never,1.9,207,7.4,59.5,False,7053,28.9,0
+8870,70,Female,126,72,128,61,71,76,116,6.0,21.4,65,138,Asymptomatic,True,1.1,True,Never,21.7,65,8.4,37.2,False,5536,91.3,0
+8871,35,Male,108,66,201,53,110,161,115,5.5,19.4,85,183,Asymptomatic,False,0.9,False,Current,1.9,200,8.2,56.4,True,6253,52.5,0
+8872,66,Male,132,73,208,92,99,52,112,5.3,24.1,89,139,Non-Anginal Pain,True,1.1,False,Current,2.5,107,5.2,38.8,True,6699,57.4,1
+8873,45,Female,124,79,181,46,109,181,114,6.0,25.3,71,184,Non-Anginal Pain,False,0.5,False,Former,14.6,188,5.8,30.1,False,4195,76.9,0
+8874,56,Male,123,69,195,30,136,177,163,6.6,30.3,86,162,Non-Anginal Pain,False,0.7,False,Former,6.6,53,5.9,63.1,True,4321,41.3,0
+8875,58,Male,132,89,212,59,122,146,91,5.4,30.4,88,167,Asymptomatic,False,0.2,False,Never,2.0,92,8.2,47.3,False,3505,69.0,0
+8876,53,Female,118,61,201,74,81,174,99,5.4,16.7,82,168,Asymptomatic,False,0.3,False,Former,3.5,31,5.8,15.9,False,5102,71.0,0
+8877,49,Female,144,89,178,61,94,127,109,5.5,27.4,70,182,Typical Angina,False,2.2,False,Never,22.5,108,6.5,26.4,False,2481,79.4,0
+8878,69,Male,141,92,206,51,131,123,123,6.3,30.1,79,139,Typical Angina,True,3.0,True,Former,8.7,107,7.2,52.7,False,5339,72.3,1
+8879,43,Male,119,87,202,55,116,175,89,5.0,26.4,77,141,Typical Angina,True,1.4,False,Never,1.7,116,5.0,31.2,False,6633,30.3,1
+8880,69,Male,145,97,215,50,123,222,127,5.9,25.9,83,151,Asymptomatic,True,4.2,False,Former,4.2,30,7.0,65.1,True,6425,44.6,1
+8881,24,Male,88,55,170,56,92,174,88,4.8,20.2,83,206,Atypical Angina,True,0.6,False,Never,1.9,355,8.5,63.1,True,7989,46.6,0
+8882,57,Female,154,95,177,41,91,197,107,5.5,30.7,76,148,Non-Anginal Pain,False,1.2,False,Never,3.9,187,5.9,44.0,False,4898,70.7,1
+8883,35,Female,126,83,191,55,84,189,151,7.1,27.4,62,170,Typical Angina,False,1.7,False,Former,1.6,83,6.2,85.9,True,8860,69.6,0
+8884,53,Male,124,81,147,42,110,65,88,4.3,16.8,71,183,Atypical Angina,False,0.2,False,Former,4.9,147,7.4,47.5,True,8182,50.0,0
+8885,36,Female,102,58,172,58,103,76,144,6.1,21.8,94,188,Non-Anginal Pain,False,0.8,False,Former,1.2,67,6.3,36.5,True,6705,68.5,0
+8886,40,Female,108,72,120,59,35,157,167,6.2,26.3,88,181,Asymptomatic,False,1.3,True,Never,0.0,151,8.7,49.4,True,4075,43.8,0
+8887,41,Male,115,75,216,73,127,61,117,5.9,24.5,82,180,Atypical Angina,False,0.8,False,Never,6.9,59,7.0,66.6,False,7591,62.5,0
+8888,46,Male,119,68,208,39,134,154,113,5.8,26.8,84,173,Atypical Angina,True,1.9,True,Current,13.1,110,8.0,42.0,False,4038,45.1,1
+8889,27,Male,115,61,173,46,112,146,141,6.7,28.1,85,195,Asymptomatic,True,1.0,False,Never,2.9,193,5.3,35.9,True,9286,69.3,0
+8890,57,Female,125,67,202,60,110,191,101,5.6,24.0,88,168,Asymptomatic,False,0.1,False,Current,3.8,142,8.5,38.3,True,7555,62.9,0
+8891,49,Female,125,71,198,75,95,175,108,5.7,19.5,68,157,Asymptomatic,False,0.8,False,Never,8.5,46,6.8,57.5,False,4189,69.3,0
+8892,49,Female,154,96,187,50,82,227,95,5.0,31.3,70,181,Non-Anginal Pain,False,0.0,False,Former,0.5,70,7.8,28.3,True,6277,40.6,0
+8893,57,Male,136,76,199,55,106,182,129,5.8,26.3,85,166,Asymptomatic,False,1.0,False,Never,3.4,120,6.3,58.9,True,5731,58.3,0
+8894,40,Male,142,89,205,52,121,194,135,6.0,28.3,71,188,Typical Angina,False,0.1,False,Never,2.8,175,6.4,60.3,False,7928,72.3,0
+8895,55,Male,121,74,169,43,101,211,108,5.2,28.9,82,188,Non-Anginal Pain,False,0.5,False,Never,1.9,163,6.8,36.0,True,9575,93.9,0
+8896,57,Female,144,95,185,63,92,124,131,5.7,23.6,75,163,Non-Anginal Pain,False,0.1,True,Former,0.8,6,6.4,60.3,False,7055,66.4,0
+8897,67,Female,141,101,181,52,93,151,95,5.0,27.1,70,160,Asymptomatic,False,0.2,False,Never,3.9,180,7.1,49.3,True,8191,49.4,0
+8898,65,Female,145,93,112,59,47,59,113,5.5,28.1,82,145,Asymptomatic,False,0.7,False,Never,0.8,78,8.4,20.0,False,4307,64.1,0
+8899,50,Male,125,73,192,66,112,98,123,5.5,18.8,80,184,Atypical Angina,False,2.0,False,Never,3.5,183,7.5,48.5,True,3555,88.3,0
+8900,59,Female,127,77,127,55,72,91,135,6.4,29.9,84,133,Non-Anginal Pain,True,1.3,True,Never,1.1,75,4.2,87.3,False,7443,83.2,1
+8901,57,Female,125,79,187,39,123,102,110,5.9,25.6,79,175,Asymptomatic,True,0.0,False,Never,2.2,131,7.5,64.1,False,7416,60.6,0
+8902,56,Male,110,67,227,74,120,175,155,6.4,21.0,76,160,Typical Angina,False,2.2,False,Never,2.9,112,4.9,76.1,False,2284,58.0,1
+8903,28,Male,106,65,176,47,80,205,80,4.5,20.0,79,209,Non-Anginal Pain,False,1.2,True,Former,2.8,208,8.1,80.1,False,6686,47.9,0
+8904,41,Male,107,64,177,62,82,155,108,5.7,22.2,64,182,Typical Angina,False,0.7,False,Never,13.0,175,6.9,70.7,True,9956,78.1,0
+8905,56,Male,143,96,172,46,98,118,141,6.9,22.7,81,156,Non-Anginal Pain,False,2.7,False,Never,4.8,80,6.9,54.8,False,2835,71.4,0
+8906,45,Male,141,77,246,60,147,161,148,6.8,23.9,81,180,Asymptomatic,False,0.4,False,Current,2.5,140,6.4,36.4,False,9478,63.5,0
+8907,46,Female,125,79,216,67,121,138,115,5.7,21.7,106,183,Typical Angina,False,0.0,False,Never,0.8,237,9.0,53.1,False,7244,66.5,0
+8908,44,Male,115,71,205,56,114,141,133,6.3,16.8,72,157,Atypical Angina,False,2.2,False,Never,5.7,181,4.6,46.7,False,7286,52.9,1
+8909,44,Male,94,59,220,65,122,161,142,6.1,26.4,86,164,Atypical Angina,False,6.5,True,Former,6.8,140,6.9,30.3,True,7161,70.8,1
+8910,55,Female,128,78,158,65,65,118,126,6.2,25.0,82,173,Asymptomatic,True,0.5,False,Never,4.5,129,7.1,66.8,False,3841,87.7,0
+8911,72,Male,131,85,218,55,109,178,104,5.2,19.8,90,102,Non-Anginal Pain,True,2.6,False,Current,22.8,31,7.9,44.7,False,1892,45.6,1
+8912,61,Male,125,74,165,39,101,106,115,6.1,17.9,79,124,Non-Anginal Pain,False,2.8,False,Former,4.3,103,6.0,56.4,True,6828,76.4,1
+8913,68,Male,134,87,213,51,123,168,111,5.3,27.6,100,148,Typical Angina,True,0.9,True,Never,1.7,121,8.0,37.0,True,1266,54.6,1
+8914,39,Male,119,75,211,67,114,154,113,6.0,19.9,86,183,Atypical Angina,False,0.1,False,Never,1.5,158,5.8,41.0,False,6498,47.9,0
+8915,79,Male,133,72,175,37,126,61,115,5.9,24.7,78,152,Asymptomatic,False,0.9,True,Never,1.6,185,6.5,71.6,True,7699,64.5,1
+8916,62,Female,118,74,206,64,118,135,107,5.2,21.3,78,162,Non-Anginal Pain,False,0.8,True,Never,2.3,190,7.7,47.1,False,3163,53.2,0
+8917,39,Female,123,74,267,86,152,159,111,5.5,16.5,83,194,Non-Anginal Pain,False,2.1,False,Former,5.3,81,5.8,54.9,False,2616,66.6,0
+8918,49,Female,111,72,259,70,139,231,103,5.2,24.2,85,166,Typical Angina,True,0.3,True,Former,4.5,213,6.9,31.8,True,7597,85.6,0
+8919,66,Female,112,68,220,63,150,78,125,5.9,22.1,66,144,Atypical Angina,False,1.1,True,Never,5.0,158,9.1,41.6,True,6725,87.6,0
+8920,47,Male,121,71,205,47,140,180,107,5.6,23.8,74,186,Non-Anginal Pain,False,0.2,True,Never,11.9,97,6.0,45.6,False,3321,50.8,0
+8921,41,Male,125,80,114,36,39,226,136,6.4,24.7,75,165,Asymptomatic,True,1.2,False,Current,1.9,138,3.8,56.7,True,4984,56.2,1
+8922,38,Female,112,83,213,58,110,221,103,4.9,20.7,72,186,Asymptomatic,False,0.6,True,Never,7.4,176,7.7,59.7,True,9008,30.7,0
+8923,52,Female,124,83,163,79,54,144,123,6.4,28.2,81,173,Atypical Angina,False,0.4,False,Never,3.1,231,6.8,82.1,True,8293,62.8,0
+8924,68,Female,119,93,194,54,112,184,141,6.6,16.4,79,122,Non-Anginal Pain,False,2.3,True,Current,5.8,200,8.5,20.0,False,7166,41.4,1
+8925,52,Female,145,94,235,47,139,196,131,5.8,22.6,92,160,Non-Anginal Pain,False,0.1,False,Current,4.3,112,8.1,64.6,True,8556,35.0,1
+8926,49,Female,126,88,132,49,61,76,86,5.2,21.7,93,178,Non-Anginal Pain,False,0.6,True,Former,1.1,138,5.1,63.9,False,7208,59.3,0
+8927,69,Female,142,90,150,44,70,216,100,4.9,20.6,90,150,Asymptomatic,False,0.3,False,Never,9.1,86,8.6,48.0,False,4086,58.9,0
+8928,53,Female,121,80,206,47,132,56,139,6.6,21.0,82,142,Non-Anginal Pain,True,0.1,True,Former,0.9,88,6.4,57.1,False,5169,51.8,1
+8929,57,Male,134,96,199,57,108,170,92,5.6,27.8,89,160,Non-Anginal Pain,False,0.7,False,Never,2.5,86,6.8,54.8,False,5128,66.1,1
+8930,48,Female,137,82,247,74,130,207,126,6.0,32.9,70,176,Asymptomatic,False,0.1,False,Never,14.8,221,7.5,24.8,False,1478,48.8,0
+8931,30,Male,105,62,163,79,53,153,131,6.0,23.1,78,203,Asymptomatic,False,0.4,False,Former,6.9,213,7.2,50.2,False,3197,60.2,0
+8932,59,Male,129,72,202,50,117,169,109,5.3,20.6,78,159,Asymptomatic,False,1.3,False,Never,12.2,73,8.4,53.3,False,6905,37.2,0
+8933,45,Female,112,68,182,58,82,245,137,5.8,21.8,96,152,Non-Anginal Pain,False,1.0,False,Never,9.6,85,8.9,27.2,True,6760,32.1,0
+8934,71,Female,127,78,224,44,123,225,157,6.4,30.3,93,131,Asymptomatic,False,3.2,True,Never,2.8,25,5.5,63.9,False,1107,55.8,1
+8935,38,Male,108,78,157,43,70,195,108,5.3,25.9,75,187,Typical Angina,False,1.2,True,Never,12.2,72,5.6,36.8,False,500,91.1,0
+8936,37,Male,110,75,199,58,130,120,113,5.8,25.1,94,142,Asymptomatic,True,3.1,False,Former,2.8,53,5.6,49.2,False,4021,58.9,1
+8937,67,Female,148,102,226,74,107,216,147,6.8,25.4,100,157,Non-Anginal Pain,False,0.5,False,Current,3.9,149,5.9,21.8,False,9270,60.0,0
+8938,62,Female,136,84,172,71,85,88,136,5.7,15.0,84,169,Asymptomatic,False,0.4,False,Former,1.3,117,8.1,51.0,False,6561,79.1,0
+8939,47,Female,104,66,181,63,92,137,123,6.1,27.1,77,172,Asymptomatic,False,0.4,False,Never,1.6,208,9.3,13.1,True,9539,39.3,0
+8940,45,Female,162,103,179,50,87,199,123,6.1,23.6,72,174,Asymptomatic,False,0.1,False,Current,0.7,192,7.4,48.2,True,6407,66.3,0
+8941,44,Male,125,90,183,38,116,151,126,6.3,28.5,70,179,Asymptomatic,False,0.3,False,Never,2.9,150,6.1,42.7,True,10165,44.7,0
+8942,63,Female,134,77,207,47,134,118,150,6.4,28.5,85,173,Atypical Angina,False,0.5,False,Never,1.4,147,7.4,53.3,True,8631,88.5,0
+8943,59,Male,114,75,195,56,102,127,125,5.6,17.7,71,141,Asymptomatic,False,1.4,True,Never,1.5,165,7.7,41.1,True,4690,87.3,0
+8944,69,Female,164,101,179,60,101,187,117,5.8,33.7,88,115,Asymptomatic,False,0.2,False,Never,2.2,145,8.8,67.2,True,8154,81.9,1
+8945,53,Female,134,87,172,54,93,157,122,6.2,26.0,79,137,Asymptomatic,False,1.3,True,Former,5.7,148,6.5,33.1,False,5751,59.2,1
+8946,50,Female,124,76,164,55,89,162,107,6.4,29.1,90,154,Asymptomatic,False,0.1,True,Never,0.9,0,7.5,57.7,False,5419,55.0,1
+8947,43,Female,130,80,177,48,103,207,134,6.2,30.9,81,210,Atypical Angina,False,2.4,True,Never,0.7,119,5.7,64.4,False,5910,59.4,0
+8948,46,Male,126,70,162,46,96,112,60,4.0,24.5,81,208,Asymptomatic,False,0.2,False,Never,1.7,199,6.7,59.8,True,6895,38.6,0
+8949,57,Male,124,76,169,55,75,226,165,7.4,35.8,91,180,Atypical Angina,True,0.1,False,Never,4.0,118,6.6,51.6,True,6925,69.6,0
+8950,40,Female,127,79,159,29,112,96,136,6.5,30.3,98,166,Asymptomatic,True,1.4,False,Current,1.8,20,5.4,56.1,False,3134,59.6,1
+8951,40,Female,129,85,245,55,137,206,143,6.0,25.2,75,170,Asymptomatic,False,1.3,False,Current,5.0,143,7.8,65.7,False,7371,36.9,0
+8952,57,Male,133,80,186,55,118,95,157,6.6,23.5,65,160,Non-Anginal Pain,True,3.0,False,Former,2.2,164,5.8,58.3,True,10451,69.6,1
+8953,51,Male,146,91,202,63,143,56,99,5.4,27.7,85,166,Non-Anginal Pain,False,0.4,False,Never,1.8,215,8.1,63.6,True,9703,50.7,0
+8954,49,Female,139,92,209,67,112,167,127,6.2,24.6,80,181,Asymptomatic,True,0.3,True,Former,2.4,212,8.5,32.3,True,7486,71.4,0
+8955,47,Female,147,91,151,42,81,92,103,5.2,26.4,79,178,Non-Anginal Pain,False,0.2,True,Never,2.5,61,6.7,46.8,True,4322,55.0,0
+8956,42,Male,127,75,195,46,120,181,87,5.2,25.6,84,168,Atypical Angina,True,1.2,True,Current,8.2,66,4.7,58.7,False,2838,35.7,1
+8957,49,Female,124,78,194,65,71,234,138,5.4,28.2,78,182,Non-Anginal Pain,False,0.6,False,Never,8.7,129,6.0,53.4,True,6028,65.2,0
+8958,49,Female,117,83,164,62,91,71,124,6.4,24.4,72,165,Typical Angina,False,1.9,False,Never,4.1,220,6.0,9.7,False,6755,63.2,0
+8959,67,Female,164,103,216,70,106,159,86,4.6,25.7,80,145,Asymptomatic,False,1.4,False,Never,1.0,173,7.4,74.8,True,6255,53.7,0
+8960,62,Female,132,85,180,60,97,160,127,6.3,27.1,90,156,Asymptomatic,False,0.9,False,Never,6.9,54,7.1,43.1,False,5798,66.1,0
+8961,44,Male,102,61,165,33,105,62,92,5.0,22.4,102,177,Non-Anginal Pain,False,0.6,False,Current,4.2,159,5.1,51.7,True,4599,44.6,0
+8962,43,Male,112,82,191,63,124,62,74,5.1,17.6,77,154,Asymptomatic,False,1.2,False,Never,2.8,276,6.8,42.6,True,5135,76.1,0
+8963,57,Female,129,85,121,40,61,176,113,5.1,17.5,79,166,Asymptomatic,False,0.0,False,Never,10.9,138,5.6,35.4,False,6419,72.7,0
+8964,53,Male,128,82,219,47,132,219,154,6.6,24.0,69,158,Asymptomatic,True,2.9,False,Never,7.4,215,7.6,60.8,True,7049,40.4,1
+8965,70,Female,156,98,225,64,117,240,123,6.1,24.2,82,119,Non-Anginal Pain,False,0.6,True,Former,1.3,60,6.3,47.0,False,5900,36.1,1
+8966,40,Female,121,82,145,45,65,166,113,5.5,25.8,90,199,Asymptomatic,False,0.4,True,Never,3.0,70,8.3,52.8,False,5247,63.3,0
+8967,58,Male,142,77,178,54,101,163,151,7.5,21.1,79,173,Asymptomatic,False,1.0,False,Former,3.1,131,6.6,54.0,True,8204,64.5,0
+8968,38,Male,112,67,155,49,86,122,95,5.7,23.2,76,185,Non-Anginal Pain,False,1.5,False,Never,9.3,150,6.3,23.3,True,8092,61.4,0
+8969,62,Male,127,85,146,48,77,109,122,5.7,23.5,75,128,Non-Anginal Pain,False,0.6,False,Current,1.5,99,5.0,32.6,False,4507,54.9,1
+8970,57,Male,137,87,206,42,117,199,121,5.9,20.1,89,158,Atypical Angina,False,0.4,False,Current,9.0,195,6.3,59.7,False,5927,50.6,1
+8971,64,Female,147,79,208,66,101,201,102,6.1,35.8,70,173,Asymptomatic,False,0.4,False,Never,3.8,190,7.1,50.2,True,8755,52.7,0
+8972,54,Male,151,102,183,40,125,132,112,5.4,28.4,75,162,Non-Anginal Pain,False,1.5,False,Former,1.9,186,7.1,45.8,False,2245,66.8,1
+8973,62,Male,128,81,181,56,104,118,121,6.1,23.7,83,170,Non-Anginal Pain,False,1.7,False,Never,3.7,236,6.7,25.5,True,4886,52.4,0
+8974,56,Male,144,84,174,39,106,137,147,6.2,27.2,81,154,Typical Angina,True,6.5,True,Former,4.2,166,8.1,43.3,False,4278,43.4,1
+8975,54,Female,132,76,215,61,114,172,74,5.0,25.3,83,157,Non-Anginal Pain,False,0.7,False,Never,5.5,227,7.4,48.2,True,7788,71.9,0
+8976,71,Female,125,78,178,56,89,170,150,7.1,30.1,91,150,Asymptomatic,True,0.9,True,Never,0.9,46,6.3,37.1,False,2635,56.5,1
+8977,70,Male,129,86,150,51,76,104,116,6.0,20.3,73,175,Atypical Angina,False,0.8,False,Never,6.1,149,7.5,33.8,True,5234,88.1,0
+8978,71,Female,129,85,194,66,106,124,127,6.2,18.6,104,144,Asymptomatic,False,0.5,True,Current,3.4,117,7.3,65.3,False,9870,68.3,0
+8979,62,Female,133,96,186,59,98,129,120,6.4,29.3,90,165,Non-Anginal Pain,False,0.2,False,Former,10.9,90,8.2,86.7,False,6689,58.0,0
+8980,51,Male,108,66,162,58,74,187,127,5.8,25.5,80,162,Typical Angina,False,0.4,True,Never,6.6,315,4.9,47.6,False,6157,76.8,1
+8981,44,Female,131,87,228,71,122,146,121,4.9,19.3,84,162,Non-Anginal Pain,False,0.2,False,Former,2.7,279,7.5,34.2,True,8742,91.0,0
+8982,51,Male,135,91,163,51,93,122,120,6.1,19.1,69,179,Non-Anginal Pain,False,0.0,True,Never,3.0,122,8.1,42.3,False,3682,68.8,0
+8983,41,Male,96,55,171,78,63,207,138,5.6,17.9,76,196,Asymptomatic,True,0.1,True,Never,7.7,132,8.3,82.1,False,4760,59.3,0
+8984,45,Male,137,73,176,56,112,39,68,4.2,18.5,72,167,Typical Angina,True,0.8,False,Former,1.8,134,5.5,77.0,False,6519,66.0,1
+8985,55,Male,123,68,188,41,121,130,105,5.3,31.3,85,169,Non-Anginal Pain,True,0.9,False,Never,1.8,117,7.8,48.3,True,6341,60.0,0
+8986,53,Female,128,71,245,46,166,144,110,5.6,30.7,85,154,Asymptomatic,False,0.0,True,Current,0.6,136,8.5,62.0,False,6359,32.9,1
+8987,55,Female,139,82,204,50,103,185,125,6.7,22.7,67,158,Typical Angina,False,2.0,False,Former,7.0,128,8.0,45.6,True,5272,56.5,1
+8988,57,Female,115,70,177,48,81,196,127,5.7,30.1,73,165,Non-Anginal Pain,False,0.5,False,Never,2.8,108,7.5,46.1,True,6938,57.5,0
+8989,72,Female,134,90,213,53,133,114,102,5.5,19.9,87,144,Asymptomatic,True,3.1,True,Never,3.9,112,9.1,67.3,True,9023,58.0,1
+8990,52,Male,139,94,156,46,77,152,143,6.9,24.5,77,130,Typical Angina,True,0.5,False,Former,9.4,25,7.5,55.9,False,6676,67.3,1
+8991,34,Male,110,62,122,48,49,95,138,6.8,29.4,80,188,Non-Anginal Pain,False,1.4,False,Never,2.8,140,7.4,53.6,True,9981,58.8,0
+8992,58,Female,138,92,164,70,45,198,161,6.9,27.1,87,158,Typical Angina,False,0.2,False,Former,4.3,108,7.2,47.4,True,6284,74.2,0
+8993,61,Female,139,90,185,59,108,82,143,6.2,28.9,90,144,Non-Anginal Pain,False,1.9,False,Current,6.0,22,7.4,92.6,False,4353,65.1,1
+8994,62,Male,142,88,222,73,119,159,122,6.1,29.5,87,148,Atypical Angina,True,2.7,False,Former,2.3,249,6.9,17.2,False,7555,56.9,0
+8995,86,Female,138,96,230,63,137,154,132,6.0,24.8,84,140,Typical Angina,True,0.5,False,Never,4.9,136,6.8,34.8,True,7599,67.9,1
+8996,36,Female,108,63,178,68,82,158,96,5.3,25.1,66,210,Typical Angina,False,1.1,False,Never,13.0,306,8.6,51.1,False,7144,58.1,0
+8997,44,Female,112,73,213,54,139,102,125,5.9,23.6,61,158,Asymptomatic,False,1.2,False,Former,3.4,76,6.5,37.1,False,7395,68.9,0
+8998,57,Female,144,93,198,66,113,79,102,5.7,28.2,86,156,Asymptomatic,False,1.9,False,Never,3.9,194,6.2,46.3,False,7424,70.2,0
+8999,61,Female,130,70,220,68,135,109,104,5.5,27.5,91,154,Asymptomatic,False,0.8,False,Former,3.9,139,5.0,66.5,False,5716,43.8,1
+9000,63,Female,152,104,215,64,117,109,120,5.0,22.1,69,148,Asymptomatic,False,0.5,False,Never,7.3,95,8.8,54.1,False,3860,54.5,0
diff --git a/wayang-jdbc/demo/data/people.csv b/wayang-jdbc/demo/data/people.csv
new file mode 100644
index 000000000..bb94e93a4
--- /dev/null
+++ b/wayang-jdbc/demo/data/people.csv
@@ -0,0 +1,4 @@
+ID:int,NAME:String,CITY:String
+1;Ada;London
+2;Grace;Arlington
+3;Katherine;White Sulphur Springs
diff --git a/wayang-jdbc/demo/data/student_performance_dataset.csv b/wayang-jdbc/demo/data/student_performance_dataset.csv
new file mode 100644
index 000000000..f0057b84e
--- /dev/null
+++ b/wayang-jdbc/demo/data/student_performance_dataset.csv
@@ -0,0 +1,1001 @@
+student_id,gender,study_time_hours,attendance_percent,sleep_hours,parental_education,internet_access,extracurricular_activities,part_time_job,previous_grade,final_exam_score,final_grade
+1,Male,4.0,98.0,6.5,Bachelors,Yes,Yes,No,76.9,100.0,A
+2,Female,6.3,100.0,5.7,High School,Yes,Yes,Yes,75.5,100.0,A
+3,Male,4.9,85.3,7.9,Bachelors,Yes,No,Yes,88.5,97.3,A
+4,Male,2.6,77.5,8.0,None,Yes,Yes,No,85.1,83.8,B
+5,Male,2.2,89.6,4.6,Bachelors,Yes,No,Yes,61.8,68.3,D
+6,Female,4.2,78.2,5.7,High School,Yes,No,No,79.8,81.6,B
+7,Male,1.5,100.0,5.0,High School,Yes,Yes,Yes,58.6,69.6,D
+8,Male,6.2,86.4,6.0,High School,Yes,Yes,No,78.4,88.0,B
+9,Male,5.3,81.3,6.7,Bachelors,Yes,No,No,63.8,84.4,B
+10,Female,2.8,86.8,5.1,Bachelors,Yes,Yes,No,57.7,74.3,C
+11,Male,0.9,71.5,5.7,High School,Yes,No,Yes,73.4,68.9,D
+12,Male,5.5,75.3,5.6,None,Yes,Yes,No,37.9,76.7,C
+13,Male,3.3,97.0,7.0,Masters,Yes,Yes,Yes,49.0,82.6,B
+14,Male,5.4,78.4,6.9,Bachelors,No,No,No,67.9,93.3,A
+15,Female,1.1,74.5,5.9,Masters,Yes,Yes,Yes,71.0,73.9,C
+16,Male,2.6,90.4,7.0,High School,Yes,Yes,No,65.6,84.8,B
+17,Female,3.5,96.9,6.1,Bachelors,Yes,Yes,No,51.0,81.5,B
+18,Female,3.6,92.2,6.5,Bachelors,Yes,Yes,Yes,60.2,75.5,C
+19,Female,2.8,95.0,8.8,Masters,No,Yes,No,74.7,89.7,B
+20,Male,4.4,77.4,8.4,Masters,No,No,Yes,77.0,92.8,A
+21,Female,1.9,70.8,5.2,High School,Yes,Yes,No,69.8,73.5,C
+22,Male,3.3,100.0,7.8,None,Yes,Yes,No,83.9,100.0,A
+23,Female,3.7,81.8,7.8,High School,No,No,No,74.8,73.4,C
+24,Female,4.3,82.5,5.4,PhD,No,Yes,No,61.0,71.2,C
+25,Female,4.6,98.3,7.8,None,Yes,Yes,Yes,66.6,97.2,A
+26,Female,1.8,90.6,8.6,High School,Yes,No,No,53.2,76.0,C
+27,Female,1.2,89.6,5.5,Masters,Yes,No,Yes,68.7,78.7,C
+28,Female,5.4,100.0,5.7,High School,No,No,No,83.3,97.4,A
+29,Female,4.0,78.6,8.0,Bachelors,Yes,No,No,78.2,84.2,B
+30,Female,2.4,94.3,7.1,Bachelors,Yes,Yes,No,86.8,89.8,B
+31,Male,5.8,85.6,7.5,Bachelors,Yes,No,Yes,66.4,82.4,B
+32,Male,3.7,87.7,7.2,None,Yes,Yes,No,86.2,87.7,B
+33,Female,5.3,100.0,7.3,Masters,Yes,Yes,No,67.7,100.0,A
+34,Female,3.6,90.1,5.2,Bachelors,No,Yes,No,87.7,93.3,A
+35,Female,6.6,90.4,8.1,Masters,Yes,Yes,Yes,69.7,100.0,A
+36,Male,6.1,95.7,8.2,None,Yes,Yes,Yes,78.5,92.9,A
+37,Female,3.1,81.4,6.5,High School,Yes,No,Yes,87.7,83.2,B
+38,Male,5.0,76.6,6.7,None,Yes,Yes,No,67.7,81.1,B
+39,Male,4.5,74.6,5.0,High School,Yes,Yes,Yes,72.6,89.5,B
+40,Male,5.6,65.3,7.4,Masters,Yes,Yes,No,85.5,91.6,A
+41,Male,2.1,100.0,7.5,High School,Yes,Yes,Yes,68.4,75.3,C
+42,Male,4.5,74.0,6.7,High School,Yes,No,No,54.1,79.0,C
+43,Female,5.1,82.8,8.1,Bachelors,Yes,Yes,No,95.7,100.0,A
+44,Female,0.9,82.2,6.4,Bachelors,Yes,Yes,No,64.4,79.2,C
+45,Female,1.7,88.1,7.5,Bachelors,No,Yes,No,71.9,70.8,C
+46,Female,0.5,93.2,5.6,High School,No,No,Yes,83.9,61.8,D
+47,Female,3.1,93.6,6.8,Bachelors,Yes,Yes,Yes,62.7,68.0,D
+48,Male,4.6,79.2,6.6,None,Yes,Yes,Yes,57.9,80.3,B
+49,Female,5.8,83.3,7.1,Bachelors,No,Yes,No,73.0,88.6,B
+50,Female,3.6,87.8,6.4,High School,Yes,Yes,No,48.5,69.4,D
+51,Male,5.9,82.5,6.6,Bachelors,Yes,Yes,No,66.5,100.0,A
+52,Female,1.4,100.0,7.8,High School,No,No,No,72.9,81.8,B
+53,Male,0.9,89.9,6.3,Masters,Yes,No,No,66.8,72.6,C
+54,Female,3.4,92.3,4.9,Masters,Yes,No,No,51.5,85.3,B
+55,Male,4.1,91.6,8.9,Bachelors,No,Yes,No,89.1,99.8,A
+56,Female,3.5,96.7,8.5,Bachelors,Yes,Yes,Yes,71.2,84.3,B
+57,Female,0.5,86.8,5.2,Masters,Yes,Yes,No,87.2,71.5,C
+58,Male,3.4,72.0,7.6,Bachelors,Yes,No,No,66.9,84.3,B
+59,Male,1.5,89.0,6.2,Masters,Yes,No,No,59.4,74.5,C
+60,Male,4.5,78.5,7.1,Bachelors,Yes,No,No,73.2,89.5,B
+61,Male,4.0,79.7,7.2,Masters,Yes,Yes,No,67.4,80.4,B
+62,Male,2.1,90.9,6.5,Bachelors,No,Yes,Yes,55.9,71.1,C
+63,Male,2.7,97.4,5.9,Bachelors,Yes,Yes,No,87.6,87.8,B
+64,Male,1.9,85.2,6.0,None,Yes,No,No,62.5,73.0,C
+65,Male,3.4,88.1,5.7,Bachelors,Yes,No,Yes,47.9,80.8,B
+66,Female,4.9,100.0,5.8,Bachelors,Yes,No,No,85.9,97.4,A
+67,Female,2.0,87.4,6.7,High School,Yes,Yes,No,63.9,67.8,D
+68,Male,4.3,100.0,5.9,Bachelors,No,Yes,No,62.7,79.2,C
+69,Female,2.7,90.7,7.6,Bachelors,No,No,Yes,48.8,73.5,C
+70,Female,2.3,67.4,8.6,High School,Yes,No,No,90.9,85.1,B
+71,Female,3.3,92.5,6.1,High School,Yes,Yes,No,54.5,79.6,C
+72,Female,1.9,88.8,7.1,Bachelors,Yes,Yes,No,70.7,77.4,C
+73,Male,2.7,97.9,7.4,Masters,Yes,Yes,No,81.0,94.6,A
+74,Female,1.7,91.7,7.4,Bachelors,Yes,Yes,No,75.1,77.6,C
+75,Male,6.4,83.6,6.9,High School,Yes,Yes,No,69.3,99.9,A
+76,Female,3.6,72.8,7.7,Masters,No,No,No,49.6,64.4,D
+77,Female,2.5,82.9,7.4,High School,Yes,Yes,No,60.3,71.9,C
+78,Female,3.8,76.5,5.3,Bachelors,Yes,Yes,No,72.3,79.3,C
+79,Male,3.3,79.2,7.8,High School,Yes,Yes,Yes,60.6,74.9,C
+80,Female,3.2,90.9,7.9,High School,Yes,No,No,72.4,87.4,B
+81,Male,4.4,100.0,5.9,High School,Yes,No,No,78.2,97.6,A
+82,Female,4.6,88.9,6.8,Bachelors,Yes,Yes,No,81.6,74.5,C
+83,Male,2.7,73.0,7.6,High School,Yes,No,Yes,55.3,64.1,D
+84,Female,2.6,89.4,6.5,Bachelors,Yes,No,No,96.4,90.0,A
+85,Male,3.1,97.0,8.1,Bachelors,Yes,Yes,Yes,79.2,99.3,A
+86,Male,0.5,78.9,9.6,Bachelors,Yes,Yes,Yes,70.0,63.9,D
+87,Female,1.2,83.7,5.9,Bachelors,Yes,No,No,83.1,79.0,C
+88,Male,5.6,85.1,5.1,Masters,Yes,No,No,98.4,100.0,A
+89,Female,6.0,77.2,7.2,High School,Yes,No,No,52.7,78.9,C
+90,Female,3.1,91.5,7.7,Bachelors,Yes,No,Yes,67.3,84.5,B
+91,Female,4.4,83.8,6.5,High School,Yes,No,No,41.5,71.7,C
+92,Female,4.0,89.2,8.5,High School,Yes,Yes,Yes,72.3,86.3,B
+93,Female,8.1,76.1,5.2,Bachelors,Yes,Yes,No,74.4,98.3,A
+94,Female,5.2,80.6,7.6,Bachelors,Yes,Yes,No,69.5,88.1,B
+95,Female,3.3,92.2,6.1,PhD,Yes,Yes,No,62.1,99.6,A
+96,Female,2.1,81.3,8.9,Bachelors,Yes,No,No,45.4,74.8,C
+97,Female,1.1,100.0,9.2,None,Yes,No,Yes,74.5,87.4,B
+98,Female,3.8,81.0,5.9,High School,No,No,No,87.5,88.5,B
+99,Female,2.4,87.2,6.1,High School,Yes,Yes,Yes,62.9,65.2,D
+100,Male,1.4,94.3,7.8,High School,No,No,No,75.3,79.2,C
+101,Male,2.5,70.8,6.3,High School,Yes,Yes,No,51.2,74.5,C
+102,Female,1.9,67.4,6.7,Bachelors,Yes,Yes,Yes,75.5,66.3,D
+103,Female,6.0,69.7,6.8,Bachelors,No,No,No,65.3,89.5,B
+104,Female,4.8,97.6,4.5,High School,Yes,No,No,60.9,92.7,A
+105,Female,3.5,79.5,6.8,None,Yes,No,Yes,60.9,87.2,B
+106,Female,5.7,100.0,6.0,Masters,Yes,Yes,Yes,65.3,92.5,A
+107,Female,3.6,79.4,6.2,High School,Yes,Yes,Yes,74.6,75.7,C
+108,Female,2.2,86.8,8.5,High School,Yes,Yes,No,54.3,74.0,C
+109,Female,5.8,100.0,5.3,High School,Yes,Yes,No,65.2,100.0,A
+110,Male,4.3,100.0,7.8,High School,No,No,Yes,69.5,75.5,C
+111,Female,1.9,100.0,6.5,High School,Yes,No,Yes,56.8,61.7,D
+112,Male,3.2,97.1,6.5,Bachelors,No,No,No,91.6,91.4,A
+113,Female,2.2,95.2,7.7,High School,No,Yes,No,59.8,72.7,C
+114,Female,1.4,90.9,7.2,Bachelors,Yes,No,No,62.0,74.6,C
+115,Male,4.9,92.8,7.5,None,Yes,Yes,No,58.3,96.5,A
+116,Female,6.4,79.5,8.0,Masters,No,No,Yes,91.6,94.5,A
+117,Male,1.4,76.8,6.4,None,No,Yes,No,76.6,59.3,F
+118,Female,4.3,85.0,6.1,High School,Yes,Yes,No,58.8,96.2,A
+119,Female,2.5,83.3,5.5,Bachelors,Yes,Yes,Yes,83.3,75.3,C
+120,Male,2.8,80.5,5.8,Bachelors,Yes,No,No,72.4,73.3,C
+121,Female,2.6,92.0,10.0,High School,Yes,Yes,No,73.1,95.8,A
+122,Male,2.2,94.6,8.3,High School,Yes,Yes,No,65.9,81.0,B
+123,Female,3.6,85.9,5.2,Masters,Yes,No,Yes,61.0,76.5,C
+124,Male,2.3,99.8,5.2,Bachelors,Yes,Yes,No,74.1,88.1,B
+125,Male,3.9,73.6,7.4,Bachelors,Yes,Yes,No,63.5,88.1,B
+126,Female,3.4,83.1,7.5,Bachelors,Yes,Yes,No,91.8,92.1,A
+127,Female,3.1,77.8,7.5,Bachelors,Yes,Yes,No,54.8,85.2,B
+128,Male,2.1,66.3,6.5,High School,Yes,No,Yes,88.4,63.0,D
+129,Female,2.6,84.2,6.6,High School,Yes,No,Yes,68.7,81.1,B
+130,Female,4.6,83.8,7.2,High School,Yes,Yes,No,73.6,87.1,B
+131,Female,4.3,100.0,6.9,High School,Yes,No,Yes,80.0,100.0,A
+132,Male,2.0,91.3,4.1,None,Yes,Yes,No,62.4,75.7,C
+133,Male,3.6,74.8,6.5,Bachelors,No,Yes,No,80.4,77.3,C
+134,Male,4.6,100.0,5.8,Masters,Yes,Yes,No,37.5,85.6,B
+135,Male,1.0,97.2,7.0,High School,Yes,Yes,No,61.4,80.8,B
+136,Male,4.3,90.8,10.0,Bachelors,Yes,Yes,No,58.9,94.5,A
+137,Male,2.5,82.7,7.2,High School,No,No,Yes,55.0,59.7,F
+138,Male,4.4,75.4,6.4,High School,Yes,No,No,67.4,80.9,B
+139,Male,2.4,81.3,7.9,High School,Yes,Yes,No,74.6,82.6,B
+140,Male,0.8,95.9,7.4,Masters,Yes,No,No,78.4,80.2,B
+141,Female,1.1,100.0,7.3,Masters,Yes,No,Yes,72.9,82.4,B
+142,Male,3.6,100.0,7.5,Bachelors,Yes,No,No,62.0,75.9,C
+143,Female,3.9,80.1,9.3,Bachelors,Yes,No,Yes,74.4,88.5,B
+144,Female,2.1,73.8,5.4,None,Yes,Yes,Yes,71.5,69.6,D
+145,Female,4.5,86.4,7.4,High School,Yes,No,Yes,81.2,86.8,B
+146,Male,1.0,67.3,5.7,High School,Yes,No,No,79.3,65.2,D
+147,Male,3.4,88.2,7.5,High School,Yes,No,Yes,70.4,82.0,B
+148,Male,1.7,83.5,5.7,Masters,Yes,Yes,Yes,59.2,46.8,F
+149,Male,2.5,80.3,6.3,None,Yes,Yes,Yes,62.2,68.6,D
+150,Female,3.6,69.1,6.4,High School,Yes,Yes,Yes,63.4,69.2,D
+151,Male,2.2,90.1,8.0,PhD,Yes,Yes,No,66.2,84.7,B
+152,Male,2.9,79.7,7.9,Masters,Yes,Yes,Yes,73.2,75.9,C
+153,Male,5.0,73.3,5.3,High School,Yes,No,Yes,78.6,84.7,B
+154,Male,2.6,56.3,6.9,Bachelors,No,Yes,No,69.4,75.7,C
+155,Male,4.8,84.7,5.9,Bachelors,Yes,No,No,70.2,95.4,A
+156,Female,1.8,100.0,5.3,None,Yes,Yes,No,71.7,87.6,B
+157,Male,4.3,100.0,6.5,High School,Yes,No,No,63.8,87.7,B
+158,Female,5.7,80.4,6.4,Masters,Yes,Yes,Yes,58.9,89.3,B
+159,Male,0.5,79.0,9.7,High School,Yes,Yes,No,48.9,63.7,D
+160,Female,2.3,89.7,7.3,Masters,Yes,No,Yes,61.7,74.0,C
+161,Male,4.4,75.0,5.1,Bachelors,Yes,No,No,75.7,87.9,B
+162,Male,3.2,88.0,6.1,Bachelors,Yes,No,No,61.6,76.6,C
+163,Female,4.1,92.7,8.0,Masters,Yes,Yes,Yes,67.1,97.3,A
+164,Female,2.6,97.3,9.3,Masters,Yes,Yes,No,75.6,90.2,A
+165,Female,3.6,84.0,4.9,PhD,Yes,No,No,76.2,88.7,B
+166,Male,3.3,83.0,4.5,High School,Yes,Yes,No,57.0,84.8,B
+167,Female,5.3,76.2,9.0,Masters,Yes,No,No,82.0,100.0,A
+168,Male,3.9,76.7,7.3,High School,Yes,Yes,No,83.5,82.1,B
+169,Male,4.0,82.7,5.8,Bachelors,No,Yes,Yes,56.4,75.1,C
+170,Female,2.9,88.7,7.4,Bachelors,No,Yes,Yes,60.1,78.1,C
+171,Female,2.8,94.1,3.6,Bachelors,Yes,Yes,No,84.3,92.9,A
+172,Male,2.9,77.0,6.8,Bachelors,Yes,No,No,68.2,71.8,C
+173,Male,4.1,99.9,7.2,None,Yes,No,No,43.4,78.5,C
+174,Female,2.9,82.3,7.9,High School,Yes,Yes,No,53.2,82.6,B
+175,Female,3.9,84.8,5.6,Masters,Yes,No,No,67.0,79.2,C
+176,Female,6.6,77.5,6.9,Bachelors,Yes,Yes,No,56.0,89.7,B
+177,Male,4.8,60.8,5.7,High School,Yes,Yes,No,65.0,89.2,B
+178,Male,3.0,93.8,7.1,High School,No,Yes,No,70.4,81.7,B
+179,Male,5.3,92.4,5.7,None,Yes,No,No,87.5,96.7,A
+180,Male,2.9,82.2,6.3,PhD,Yes,No,No,66.5,73.7,C
+181,Male,0.5,85.7,5.6,None,Yes,No,No,82.9,77.1,C
+182,Male,2.0,90.2,7.6,None,Yes,No,Yes,87.1,76.5,C
+183,Female,0.7,69.4,7.8,High School,Yes,No,No,87.2,73.2,C
+184,Male,3.0,79.7,6.5,Bachelors,Yes,No,No,73.4,83.6,B
+185,Male,3.5,92.9,6.8,Masters,Yes,No,No,46.4,85.8,B
+186,Male,6.0,72.5,5.1,Bachelors,Yes,No,No,75.5,95.7,A
+187,Female,4.0,87.9,6.4,Bachelors,Yes,Yes,No,82.6,89.2,B
+188,Male,3.2,71.4,6.7,Bachelors,Yes,Yes,Yes,69.0,83.1,B
+189,Male,4.7,89.7,9.9,Bachelors,Yes,Yes,No,90.9,100.0,A
+190,Female,0.5,84.6,5.5,Bachelors,Yes,Yes,No,80.3,67.2,D
+191,Male,3.9,68.8,8.6,High School,Yes,No,No,76.8,84.6,B
+192,Male,4.7,96.6,8.0,Bachelors,Yes,Yes,Yes,83.0,100.0,A
+193,Male,1.3,77.7,7.1,Bachelors,Yes,No,No,74.0,75.2,C
+194,Male,5.2,76.9,8.9,Bachelors,Yes,Yes,No,40.1,81.1,B
+195,Male,4.0,87.0,7.2,High School,Yes,Yes,No,64.0,96.5,A
+196,Female,2.9,96.5,7.3,Masters,No,Yes,No,84.4,79.8,C
+197,Female,4.4,74.8,6.7,High School,Yes,No,No,60.3,73.4,C
+198,Female,6.9,85.6,8.3,Bachelors,Yes,Yes,No,67.3,92.2,A
+199,Male,3.8,89.3,8.1,Masters,Yes,Yes,No,57.5,87.3,B
+200,Male,3.9,91.9,6.0,Bachelors,No,No,No,91.4,92.5,A
+201,Male,2.8,86.8,5.2,High School,Yes,No,Yes,90.2,94.6,A
+202,Female,2.2,81.3,6.6,Masters,Yes,Yes,No,59.4,75.5,C
+203,Male,4.7,76.7,5.8,Bachelors,Yes,Yes,No,71.8,85.3,B
+204,Male,2.2,85.9,6.7,Masters,Yes,Yes,No,61.8,76.7,C
+205,Female,3.6,74.3,8.3,Masters,Yes,No,No,77.4,86.8,B
+206,Male,2.8,55.8,6.3,Bachelors,Yes,Yes,Yes,76.1,61.1,D
+207,Female,4.2,89.4,6.7,Bachelors,Yes,Yes,Yes,79.7,100.0,A
+208,Female,4.0,94.0,6.9,High School,No,Yes,No,74.0,90.9,A
+209,Female,5.1,61.4,7.8,High School,Yes,Yes,Yes,100.0,96.1,A
+210,Male,2.7,74.9,4.1,Bachelors,Yes,No,No,57.7,73.1,C
+211,Male,3.1,91.2,6.1,Bachelors,Yes,Yes,No,49.5,81.2,B
+212,Male,2.0,100.0,7.1,Bachelors,Yes,Yes,No,65.3,81.8,B
+213,Male,2.8,85.2,8.2,High School,Yes,Yes,Yes,51.2,70.0,C
+214,Male,4.1,77.7,6.2,High School,Yes,Yes,Yes,52.1,78.5,C
+215,Male,4.6,83.2,4.5,Bachelors,Yes,Yes,No,58.0,84.7,B
+216,Male,2.1,98.7,7.5,High School,Yes,No,No,58.9,74.7,C
+217,Female,4.8,78.5,6.0,Masters,Yes,No,No,58.5,91.2,A
+218,Male,5.5,77.0,5.4,High School,Yes,No,No,76.2,93.4,A
+219,Female,4.1,80.2,6.1,Bachelors,Yes,No,No,63.9,86.8,B
+220,Male,6.3,75.5,6.6,None,Yes,No,No,67.8,100.0,A
+221,Male,2.3,86.2,6.1,High School,Yes,Yes,No,80.7,84.3,B
+222,Male,1.6,100.0,4.2,Bachelors,No,No,No,60.8,71.5,C
+223,Female,0.8,88.2,7.9,High School,No,No,Yes,66.8,70.5,C
+224,Female,5.7,82.5,8.3,Bachelors,Yes,No,Yes,74.4,89.9,B
+225,Female,4.5,82.1,7.6,Bachelors,Yes,Yes,No,46.7,81.1,B
+226,Female,3.4,69.4,5.4,Bachelors,Yes,Yes,No,41.4,67.4,D
+227,Male,3.9,93.8,6.6,Bachelors,Yes,No,Yes,74.2,82.2,B
+228,Female,1.8,84.2,6.8,PhD,Yes,No,Yes,75.9,90.0,A
+229,Male,7.2,83.2,7.5,High School,Yes,No,No,94.8,100.0,A
+230,Male,3.7,100.0,7.6,High School,Yes,Yes,Yes,71.9,82.7,B
+231,Female,3.7,88.0,5.9,PhD,Yes,Yes,No,79.8,98.3,A
+232,Female,4.6,77.5,6.9,Bachelors,Yes,Yes,No,67.7,91.5,A
+233,Female,4.2,80.7,7.3,PhD,Yes,No,No,73.6,82.2,B
+234,Female,3.8,96.5,8.5,Bachelors,Yes,Yes,No,90.0,100.0,A
+235,Female,2.3,86.1,7.6,Masters,Yes,Yes,No,44.5,80.2,B
+236,Female,4.2,70.6,7.7,Bachelors,Yes,No,No,75.0,85.7,B
+237,Female,6.3,94.2,6.9,Masters,Yes,Yes,No,95.6,100.0,A
+238,Female,5.5,78.3,8.5,None,Yes,No,No,73.4,84.4,B
+239,Male,5.9,100.0,7.3,Bachelors,Yes,Yes,No,89.8,100.0,A
+240,Female,2.7,95.8,5.8,High School,Yes,No,Yes,62.4,84.6,B
+241,Female,2.0,80.5,8.5,High School,Yes,No,Yes,69.6,80.6,B
+242,Male,3.3,97.8,7.6,High School,Yes,No,Yes,70.4,85.1,B
+243,Female,3.6,85.7,6.3,High School,Yes,No,Yes,43.4,69.4,D
+244,Male,5.1,93.5,6.2,High School,Yes,Yes,No,56.0,92.2,A
+245,Male,1.0,89.8,7.2,Bachelors,Yes,Yes,No,56.8,76.2,C
+246,Female,5.8,76.5,7.4,Bachelors,Yes,Yes,No,79.9,100.0,A
+247,Male,3.3,78.6,7.0,Bachelors,Yes,No,No,80.5,92.2,A
+248,Male,2.9,95.3,7.2,Bachelors,No,No,No,73.9,76.5,C
+249,Male,2.0,81.7,8.8,High School,Yes,Yes,No,79.9,82.7,B
+250,Male,1.0,81.0,8.1,High School,Yes,No,No,68.0,67.1,D
+251,Female,4.7,75.4,7.0,High School,Yes,Yes,Yes,84.4,88.4,B
+252,Male,3.6,89.2,7.9,Bachelors,Yes,No,Yes,70.1,91.0,A
+253,Female,1.6,100.0,5.6,High School,No,No,No,70.7,75.8,C
+254,Male,1.6,74.3,7.3,High School,Yes,Yes,No,66.8,88.3,B
+255,Male,3.0,85.2,9.0,Bachelors,Yes,Yes,Yes,78.2,87.6,B
+256,Male,6.0,99.1,6.5,Masters,Yes,Yes,Yes,64.9,96.8,A
+257,Male,3.1,84.2,5.8,High School,Yes,No,No,81.7,86.7,B
+258,Female,1.2,89.5,6.0,Bachelors,Yes,Yes,Yes,56.4,63.7,D
+259,Female,3.1,74.4,5.5,Masters,Yes,Yes,No,56.8,73.0,C
+260,Male,3.1,89.3,5.9,Masters,Yes,Yes,No,78.2,94.3,A
+261,Male,0.5,83.1,6.4,None,Yes,Yes,No,68.9,71.3,C
+262,Female,3.4,94.9,5.1,High School,Yes,Yes,No,64.6,79.7,C
+263,Male,3.2,96.9,6.8,High School,No,No,No,80.7,81.2,B
+264,Male,4.5,100.0,7.9,PhD,Yes,Yes,No,62.7,91.1,A
+265,Male,6.3,90.8,5.7,Bachelors,Yes,No,No,67.6,97.5,A
+266,Female,5.2,88.3,8.6,Bachelors,Yes,No,No,86.8,100.0,A
+267,Female,3.1,86.9,7.4,Masters,Yes,Yes,Yes,88.5,81.6,B
+268,Female,1.8,81.5,8.0,Masters,Yes,Yes,No,88.9,83.9,B
+269,Male,7.4,88.4,6.0,None,Yes,No,No,66.6,100.0,A
+270,Male,3.6,82.0,7.8,None,Yes,No,No,84.8,80.2,B
+271,Female,3.5,86.7,5.5,Masters,Yes,Yes,No,58.6,75.1,C
+272,Female,3.5,98.2,7.9,High School,No,Yes,No,59.1,78.2,C
+273,Female,3.8,74.9,7.0,PhD,Yes,Yes,Yes,41.8,64.7,D
+274,Female,3.3,96.4,7.5,High School,Yes,No,No,90.1,97.8,A
+275,Male,2.6,98.2,5.4,High School,No,Yes,No,59.6,74.4,C
+276,Female,2.7,83.8,5.7,PhD,Yes,Yes,No,68.5,76.4,C
+277,Male,3.5,63.8,7.5,High School,Yes,No,No,59.1,76.3,C
+278,Female,2.7,78.9,5.7,High School,Yes,No,Yes,78.3,88.3,B
+279,Male,2.4,98.0,7.4,High School,Yes,Yes,No,65.5,94.0,A
+280,Female,3.7,84.8,5.2,PhD,No,Yes,Yes,54.3,58.8,F
+281,Female,3.1,75.0,7.8,Bachelors,No,No,No,75.3,81.1,B
+282,Female,5.8,80.0,5.3,Masters,Yes,Yes,No,52.8,84.5,B
+283,Female,0.5,93.4,7.5,High School,Yes,Yes,Yes,60.0,69.9,D
+284,Male,5.1,90.5,7.6,Masters,Yes,No,No,44.7,82.2,B
+285,Female,5.4,82.6,6.0,Masters,Yes,Yes,Yes,52.9,83.3,B
+286,Male,0.5,81.3,7.5,High School,Yes,No,Yes,72.1,69.5,D
+287,Male,3.0,81.1,7.1,Bachelors,Yes,No,No,46.4,68.5,D
+288,Male,2.9,75.8,6.2,High School,No,Yes,No,52.2,61.5,D
+289,Male,1.4,100.0,5.6,None,No,Yes,No,70.0,72.3,C
+290,Female,2.3,81.8,4.4,Bachelors,Yes,No,No,63.5,74.1,C
+291,Male,1.8,97.2,7.2,None,Yes,No,No,93.9,94.9,A
+292,Male,6.1,100.0,4.9,High School,Yes,No,No,92.0,100.0,A
+293,Male,4.9,95.0,6.9,Masters,Yes,No,Yes,59.6,84.5,B
+294,Female,5.4,80.7,6.5,Masters,Yes,Yes,Yes,76.7,93.7,A
+295,Female,4.6,89.0,7.6,Masters,Yes,No,No,79.0,100.0,A
+296,Female,1.8,84.8,6.4,None,Yes,Yes,No,62.8,81.6,B
+297,Female,2.7,76.0,6.4,Bachelors,Yes,Yes,No,52.1,70.9,C
+298,Male,4.2,88.2,7.7,High School,Yes,Yes,No,69.9,89.6,B
+299,Male,1.7,73.2,7.2,Masters,No,Yes,No,67.9,69.2,D
+300,Female,4.6,96.9,7.2,Masters,Yes,No,Yes,64.8,82.3,B
+301,Male,3.1,80.4,7.4,Bachelors,Yes,Yes,Yes,75.3,80.9,B
+302,Male,2.9,87.0,5.0,High School,Yes,Yes,No,61.0,82.4,B
+303,Male,4.6,87.8,7.7,Bachelors,Yes,Yes,No,56.2,91.0,A
+304,Female,4.2,82.4,7.5,High School,No,No,No,71.3,81.6,B
+305,Female,3.0,90.9,5.6,Bachelors,Yes,No,Yes,74.6,83.2,B
+306,Male,5.2,80.3,6.5,Bachelors,Yes,Yes,No,55.9,80.7,B
+307,Female,1.9,93.7,6.8,Masters,Yes,Yes,Yes,81.1,87.2,B
+308,Female,4.4,71.5,6.6,High School,Yes,Yes,Yes,48.8,72.8,C
+309,Female,4.4,86.3,7.2,Bachelors,Yes,No,No,63.1,85.2,B
+310,Female,3.0,100.0,8.5,High School,Yes,No,Yes,66.9,83.3,B
+311,Female,4.0,75.0,8.1,High School,Yes,Yes,No,62.4,82.6,B
+312,Male,1.6,78.2,5.2,Masters,Yes,No,Yes,63.2,63.4,D
+313,Female,4.9,90.1,7.5,None,Yes,Yes,No,92.5,100.0,A
+314,Male,3.2,86.8,8.4,Bachelors,Yes,No,No,59.8,79.4,C
+315,Male,2.7,88.5,7.3,Masters,Yes,Yes,No,99.3,100.0,A
+316,Female,5.1,89.9,8.1,PhD,Yes,Yes,No,75.2,100.0,A
+317,Male,2.4,91.3,9.2,Masters,No,Yes,Yes,71.1,72.9,C
+318,Male,1.4,96.1,8.0,High School,No,Yes,No,75.7,79.2,C
+319,Male,1.2,89.1,7.1,None,Yes,No,No,100.0,84.2,B
+320,Female,4.4,82.6,8.1,Bachelors,Yes,Yes,Yes,58.1,80.7,B
+321,Female,1.6,91.7,7.0,High School,Yes,No,No,56.6,85.3,B
+322,Male,6.1,100.0,6.8,High School,Yes,No,Yes,60.9,93.1,A
+323,Female,0.5,83.7,6.4,Bachelors,Yes,Yes,No,70.4,73.5,C
+324,Female,6.0,75.3,8.7,High School,Yes,Yes,No,49.3,90.8,A
+325,Female,3.8,96.1,5.8,High School,Yes,Yes,Yes,70.3,80.8,B
+326,Female,3.4,83.8,8.6,High School,Yes,No,No,90.3,88.9,B
+327,Male,2.7,63.3,7.4,Masters,No,Yes,No,71.8,63.7,D
+328,Male,4.1,93.5,5.1,PhD,Yes,Yes,No,66.5,82.6,B
+329,Female,3.4,79.6,7.2,High School,Yes,Yes,No,62.6,63.7,D
+330,Female,5.2,84.1,4.3,PhD,Yes,No,No,80.8,96.6,A
+331,Male,3.7,88.3,7.6,PhD,Yes,Yes,No,60.1,97.0,A
+332,Male,3.7,86.9,7.9,Masters,No,Yes,No,92.2,93.3,A
+333,Female,3.0,92.1,6.1,High School,Yes,Yes,Yes,93.2,82.8,B
+334,Male,3.4,80.6,6.9,Masters,Yes,Yes,No,73.1,81.2,B
+335,Female,4.0,90.1,9.1,None,Yes,No,No,69.9,88.7,B
+336,Female,0.9,82.4,6.2,Masters,Yes,Yes,No,82.4,71.2,C
+337,Male,1.5,92.4,5.5,High School,Yes,No,No,83.1,87.1,B
+338,Male,4.6,91.2,8.6,Bachelors,Yes,No,No,60.3,94.9,A
+339,Female,3.8,75.6,9.2,Bachelors,Yes,No,No,63.7,76.1,C
+340,Female,3.2,95.9,6.8,Bachelors,Yes,No,No,54.1,85.1,B
+341,Male,3.5,79.6,8.0,High School,Yes,Yes,No,74.9,96.3,A
+342,Female,4.0,93.1,8.4,High School,Yes,Yes,No,78.0,100.0,A
+343,Male,2.7,88.7,5.9,Masters,Yes,No,No,53.8,92.0,A
+344,Female,2.3,100.0,6.2,PhD,Yes,Yes,No,64.5,77.2,C
+345,Male,3.8,82.8,8.3,High School,Yes,No,No,53.8,97.5,A
+346,Male,2.0,81.5,8.8,None,Yes,Yes,Yes,59.2,70.6,C
+347,Male,4.1,84.8,7.5,High School,Yes,No,No,76.6,87.2,B
+348,Female,0.9,82.0,5.7,Masters,Yes,No,No,61.2,69.0,D
+349,Female,5.0,93.0,9.2,Masters,Yes,Yes,Yes,66.4,90.2,A
+350,Male,4.2,68.8,6.2,Masters,Yes,Yes,Yes,50.5,74.0,C
+351,Female,3.9,74.5,6.4,None,Yes,No,No,72.2,75.3,C
+352,Male,5.0,74.3,7.2,High School,Yes,No,No,69.5,86.5,B
+353,Male,6.0,94.5,8.7,PhD,Yes,Yes,No,61.3,100.0,A
+354,Female,5.0,100.0,7.8,High School,Yes,No,Yes,67.7,93.6,A
+355,Female,0.7,84.0,7.3,Masters,Yes,Yes,Yes,72.2,72.0,C
+356,Male,1.6,83.3,7.4,Masters,Yes,Yes,No,60.2,76.2,C
+357,Female,2.6,85.7,6.9,Masters,Yes,No,No,52.3,80.9,B
+358,Female,3.5,96.6,7.5,High School,Yes,No,Yes,91.7,85.3,B
+359,Male,4.3,75.7,3.8,PhD,Yes,No,No,62.4,81.9,B
+360,Male,2.4,87.4,6.4,High School,Yes,No,No,68.8,78.0,C
+361,Female,3.8,94.8,7.1,High School,Yes,Yes,Yes,82.1,93.6,A
+362,Male,2.4,90.0,5.4,Masters,Yes,No,Yes,100.0,95.1,A
+363,Male,2.6,86.9,7.3,Bachelors,Yes,Yes,Yes,55.1,66.7,D
+364,Female,1.4,95.0,6.6,Masters,Yes,Yes,No,75.4,75.6,C
+365,Male,2.1,58.0,8.9,Bachelors,Yes,Yes,No,61.5,57.4,F
+366,Male,1.5,91.8,8.7,High School,Yes,Yes,No,63.5,75.4,C
+367,Female,2.0,78.5,6.2,Masters,Yes,Yes,No,61.4,80.5,B
+368,Female,5.1,66.7,6.6,Bachelors,No,Yes,No,56.5,75.1,C
+369,Male,2.1,90.1,6.7,High School,No,Yes,No,69.5,67.8,D
+370,Male,7.4,98.7,6.3,Masters,Yes,Yes,No,52.3,97.4,A
+371,Female,4.2,83.6,7.0,Bachelors,Yes,No,Yes,81.4,80.2,B
+372,Female,3.8,94.5,5.9,Bachelors,Yes,Yes,No,70.7,82.8,B
+373,Female,2.2,100.0,5.4,Bachelors,Yes,Yes,No,75.1,87.8,B
+374,Female,4.6,98.1,7.5,Masters,Yes,No,No,64.4,85.8,B
+375,Male,2.6,100.0,7.6,Masters,Yes,No,No,65.6,91.7,A
+376,Female,3.7,92.4,5.8,Masters,Yes,No,Yes,73.5,84.9,B
+377,Female,7.3,85.8,7.9,High School,Yes,Yes,No,56.0,99.3,A
+378,Male,3.4,69.0,6.0,Masters,Yes,No,No,65.7,74.3,C
+379,Female,5.2,82.5,7.1,Masters,Yes,Yes,No,59.7,93.3,A
+380,Male,2.4,76.6,7.8,Masters,Yes,Yes,No,59.3,79.4,C
+381,Female,3.4,100.0,6.8,Bachelors,No,Yes,No,44.7,77.4,C
+382,Female,6.2,83.2,7.3,PhD,Yes,No,No,86.1,100.0,A
+383,Female,2.6,86.2,6.2,Masters,Yes,Yes,No,61.8,76.8,C
+384,Male,6.2,90.5,6.6,High School,Yes,Yes,No,84.0,100.0,A
+385,Male,4.6,85.4,6.6,Bachelors,No,Yes,No,82.8,88.6,B
+386,Female,2.7,100.0,5.9,PhD,Yes,No,No,54.6,79.1,C
+387,Male,4.4,78.8,6.6,High School,Yes,No,No,56.9,79.4,C
+388,Male,5.0,86.9,4.9,None,Yes,Yes,No,100.0,100.0,A
+389,Male,4.4,77.6,6.2,Masters,Yes,No,Yes,91.0,86.7,B
+390,Male,1.1,71.8,6.5,Bachelors,Yes,Yes,Yes,69.6,69.5,D
+391,Male,2.4,78.9,6.5,High School,Yes,No,No,73.1,86.3,B
+392,Male,3.1,84.6,6.5,High School,Yes,Yes,No,62.4,87.3,B
+393,Female,3.4,80.7,6.7,None,No,No,No,75.2,72.1,C
+394,Female,4.4,78.1,7.4,High School,Yes,Yes,No,61.4,92.3,A
+395,Male,3.8,70.9,7.8,Masters,Yes,No,Yes,45.6,67.6,D
+396,Female,1.5,84.2,6.0,Bachelors,Yes,Yes,No,54.1,72.7,C
+397,Female,4.1,70.0,5.4,High School,Yes,Yes,No,70.3,76.1,C
+398,Female,4.4,92.6,5.5,High School,No,Yes,No,56.4,81.2,B
+399,Female,4.3,85.8,6.2,Bachelors,Yes,Yes,No,69.2,90.4,A
+400,Male,5.1,70.4,6.4,None,Yes,Yes,No,57.1,73.2,C
+401,Female,4.8,81.9,5.9,Bachelors,Yes,No,Yes,60.6,85.2,B
+402,Female,4.2,77.5,5.2,Bachelors,Yes,Yes,No,80.2,96.4,A
+403,Male,3.4,88.2,6.3,High School,Yes,No,Yes,73.0,81.9,B
+404,Male,1.0,98.4,7.0,Bachelors,Yes,No,No,69.9,86.5,B
+405,Female,4.1,66.2,7.5,Bachelors,Yes,No,No,80.5,84.7,B
+406,Female,3.8,86.2,6.1,PhD,Yes,No,No,75.8,93.0,A
+407,Female,3.9,83.4,6.3,Bachelors,Yes,No,No,87.4,78.9,C
+408,Female,1.6,91.7,5.7,Bachelors,Yes,Yes,No,64.5,90.4,A
+409,Female,1.9,87.1,6.8,High School,No,No,No,64.8,80.1,B
+410,Female,5.1,77.5,5.8,None,Yes,Yes,Yes,54.4,78.1,C
+411,Male,3.4,81.8,7.5,High School,Yes,No,No,64.9,70.1,C
+412,Female,4.5,77.0,4.7,High School,Yes,No,No,81.6,90.2,A
+413,Female,3.5,95.8,6.4,Masters,Yes,Yes,No,85.6,86.5,B
+414,Male,3.5,85.2,7.2,Bachelors,Yes,Yes,No,81.5,93.5,A
+415,Male,4.9,100.0,7.0,Bachelors,No,Yes,Yes,48.5,83.3,B
+416,Male,2.7,84.4,10.0,Bachelors,Yes,No,Yes,83.0,81.2,B
+417,Male,3.6,77.9,7.2,Masters,No,No,No,47.9,76.0,C
+418,Female,2.8,69.9,5.6,High School,Yes,Yes,No,80.8,84.9,B
+419,Female,2.8,67.0,6.7,Masters,Yes,No,No,65.6,79.2,C
+420,Female,3.0,69.2,4.7,Bachelors,No,No,No,78.4,72.8,C
+421,Female,3.8,87.7,6.7,Bachelors,Yes,Yes,Yes,54.0,69.9,D
+422,Female,2.8,90.1,5.8,Bachelors,No,Yes,No,84.1,89.6,B
+423,Female,5.4,69.2,7.9,High School,Yes,No,Yes,52.4,77.3,C
+424,Male,2.2,94.0,6.1,Masters,No,No,No,62.0,64.6,D
+425,Female,3.2,80.2,6.7,Bachelors,Yes,No,Yes,58.0,81.8,B
+426,Male,2.8,86.5,6.0,High School,Yes,Yes,No,48.9,86.2,B
+427,Male,5.7,100.0,8.9,Bachelors,Yes,Yes,Yes,71.1,100.0,A
+428,Female,3.8,94.0,6.4,None,Yes,Yes,No,91.7,100.0,A
+429,Male,5.0,82.3,9.0,Bachelors,Yes,Yes,No,100.0,100.0,A
+430,Female,1.3,76.1,7.8,None,Yes,Yes,No,71.2,72.0,C
+431,Male,3.9,63.5,7.4,High School,Yes,No,No,83.4,81.2,B
+432,Female,4.8,77.8,7.2,High School,Yes,Yes,No,72.8,100.0,A
+433,Male,3.6,82.9,7.3,High School,Yes,No,Yes,76.0,79.7,C
+434,Female,5.1,75.1,4.5,Bachelors,Yes,Yes,No,65.9,89.4,B
+435,Female,2.7,83.7,6.5,High School,Yes,No,No,72.3,77.8,C
+436,Female,5.6,85.8,7.8,High School,Yes,Yes,Yes,76.4,93.4,A
+437,Female,6.9,82.8,6.7,None,Yes,Yes,Yes,63.1,100.0,A
+438,Female,3.0,78.5,5.1,Masters,Yes,Yes,No,69.1,76.5,C
+439,Male,2.8,86.7,6.7,Masters,Yes,No,No,69.3,79.3,C
+440,Male,5.7,89.4,8.8,High School,No,No,No,79.9,100.0,A
+441,Male,5.9,74.1,8.3,High School,Yes,Yes,No,57.2,98.9,A
+442,Female,2.7,99.1,6.7,High School,Yes,Yes,Yes,69.4,87.5,B
+443,Male,2.9,84.0,7.9,Masters,Yes,No,Yes,92.9,85.2,B
+444,Female,3.1,85.2,6.4,None,Yes,Yes,No,84.0,86.0,B
+445,Female,1.5,92.1,4.8,Bachelors,Yes,Yes,Yes,86.2,80.7,B
+446,Male,2.1,87.3,5.7,High School,Yes,No,No,70.3,79.9,C
+447,Male,2.0,94.5,8.7,Bachelors,Yes,No,No,73.9,79.1,C
+448,Female,2.3,87.9,6.5,High School,Yes,Yes,Yes,82.0,87.1,B
+449,Male,3.4,78.9,6.5,Bachelors,Yes,Yes,No,88.7,90.7,A
+450,Female,3.9,88.6,6.4,Bachelors,Yes,No,Yes,46.6,64.6,D
+451,Female,5.8,73.6,9.1,Masters,No,Yes,No,54.2,77.9,C
+452,Female,2.0,86.1,8.8,High School,Yes,Yes,Yes,85.7,82.0,B
+453,Female,5.0,84.7,9.5,High School,Yes,No,No,66.7,92.8,A
+454,Female,3.2,82.9,6.6,None,No,No,No,61.9,85.4,B
+455,Male,3.4,83.7,7.2,High School,Yes,Yes,No,55.0,80.7,B
+456,Male,4.5,66.2,5.0,High School,Yes,No,No,63.3,72.7,C
+457,Female,1.8,79.5,8.6,High School,Yes,No,Yes,53.2,68.8,D
+458,Female,4.1,85.9,5.4,High School,No,Yes,No,95.1,89.9,B
+459,Male,3.7,86.6,7.1,Bachelors,No,No,No,69.7,83.3,B
+460,Male,4.2,74.7,5.5,Masters,Yes,Yes,No,69.3,86.8,B
+461,Female,3.9,97.7,6.1,High School,Yes,Yes,Yes,77.1,98.2,A
+462,Male,7.2,76.3,5.8,Bachelors,Yes,No,No,81.5,100.0,A
+463,Female,2.5,94.7,6.1,Masters,Yes,Yes,Yes,81.4,95.1,A
+464,Male,2.7,89.3,6.2,Bachelors,Yes,Yes,No,82.9,93.5,A
+465,Female,2.6,78.5,6.1,PhD,No,Yes,Yes,62.4,63.2,D
+466,Male,2.7,100.0,7.8,PhD,Yes,Yes,No,66.4,100.0,A
+467,Female,2.5,73.1,5.5,High School,Yes,No,Yes,79.2,77.1,C
+468,Male,5.3,94.2,7.1,Masters,Yes,No,No,63.7,88.8,B
+469,Male,5.6,95.0,8.3,Bachelors,Yes,No,No,69.9,100.0,A
+470,Female,2.6,78.3,6.2,None,Yes,Yes,Yes,74.8,89.9,B
+471,Male,2.3,98.9,5.9,Bachelors,Yes,Yes,No,79.4,87.6,B
+472,Female,4.2,82.5,6.5,None,No,Yes,Yes,48.7,68.0,D
+473,Male,2.7,87.9,8.2,Masters,No,Yes,No,78.6,82.2,B
+474,Female,4.4,87.6,7.0,High School,Yes,Yes,No,67.2,94.0,A
+475,Male,3.8,83.7,6.2,Bachelors,No,No,No,78.5,90.9,A
+476,Female,1.2,93.1,7.4,None,Yes,No,No,79.3,85.0,B
+477,Male,5.8,92.9,5.5,PhD,Yes,No,Yes,89.3,100.0,A
+478,Female,6.2,67.5,7.6,High School,Yes,Yes,No,86.2,100.0,A
+479,Male,2.6,98.0,7.3,Masters,Yes,No,Yes,86.2,87.4,B
+480,Female,2.9,68.4,6.4,High School,No,Yes,No,87.3,84.8,B
+481,Female,3.9,95.3,5.8,High School,Yes,Yes,No,73.5,89.5,B
+482,Female,4.0,96.3,5.7,Bachelors,Yes,No,No,70.4,92.3,A
+483,Male,4.5,74.1,7.4,High School,Yes,No,Yes,80.5,86.6,B
+484,Female,6.5,80.9,8.3,Masters,Yes,Yes,No,78.8,100.0,A
+485,Male,3.2,73.9,6.0,High School,Yes,Yes,No,66.3,75.7,C
+486,Female,2.3,82.9,7.4,Masters,Yes,Yes,Yes,74.9,87.3,B
+487,Male,1.4,81.9,4.3,High School,Yes,No,No,69.6,66.6,D
+488,Female,2.4,92.8,6.1,High School,Yes,Yes,No,59.8,74.1,C
+489,Male,3.5,98.1,6.8,High School,Yes,No,No,85.5,100.0,A
+490,Male,6.2,99.0,5.7,High School,Yes,Yes,No,70.7,100.0,A
+491,Female,2.7,79.4,5.7,High School,Yes,Yes,No,94.6,74.3,C
+492,Male,3.8,82.9,6.0,High School,Yes,Yes,Yes,50.5,71.1,C
+493,Male,3.5,68.2,7.2,Bachelors,Yes,Yes,No,63.3,66.7,D
+494,Female,5.3,76.9,6.6,High School,Yes,Yes,Yes,70.4,82.1,B
+495,Male,7.3,94.6,4.1,Bachelors,Yes,No,No,83.6,88.5,B
+496,Male,2.7,100.0,4.3,Bachelors,No,No,No,74.8,79.4,C
+497,Male,2.8,72.7,6.1,PhD,Yes,No,No,73.7,71.0,C
+498,Female,5.1,79.1,7.3,None,Yes,No,No,56.5,85.4,B
+499,Male,4.5,84.7,3.5,Bachelors,No,No,Yes,56.1,61.8,D
+500,Female,6.3,87.8,6.2,High School,Yes,No,No,73.9,99.6,A
+501,Male,4.4,76.9,6.2,High School,Yes,No,No,53.6,76.1,C
+502,Male,3.0,89.2,8.5,None,Yes,Yes,Yes,63.6,90.4,A
+503,Male,4.4,80.3,6.3,High School,No,Yes,No,76.0,93.3,A
+504,Female,5.2,84.9,7.3,High School,No,Yes,No,58.2,88.9,B
+505,Male,4.7,90.5,7.0,High School,Yes,Yes,No,89.3,99.0,A
+506,Male,4.3,85.1,4.2,High School,Yes,Yes,Yes,84.7,100.0,A
+507,Female,5.1,80.6,7.7,High School,Yes,No,No,51.1,74.5,C
+508,Male,5.3,83.9,7.1,Masters,No,Yes,Yes,58.8,72.8,C
+509,Female,5.6,84.1,7.4,High School,No,Yes,Yes,42.6,76.1,C
+510,Female,4.5,81.3,10.0,Bachelors,Yes,Yes,Yes,60.6,99.5,A
+511,Male,3.2,82.4,4.3,High School,Yes,Yes,Yes,79.2,79.9,C
+512,Female,3.7,100.0,8.9,High School,Yes,Yes,Yes,65.0,88.2,B
+513,Male,5.3,90.6,6.5,None,Yes,Yes,No,75.5,88.9,B
+514,Female,2.3,82.0,7.1,High School,Yes,Yes,No,51.7,77.9,C
+515,Female,4.1,92.0,6.7,Masters,Yes,Yes,Yes,79.6,97.2,A
+516,Male,2.9,81.7,6.3,Bachelors,Yes,No,Yes,63.3,79.3,C
+517,Female,3.5,96.7,6.1,High School,Yes,No,No,70.1,84.2,B
+518,Female,5.4,88.7,7.2,None,No,Yes,No,68.9,86.3,B
+519,Female,3.8,83.9,5.0,High School,Yes,Yes,Yes,54.7,67.6,D
+520,Female,3.6,89.5,7.7,PhD,Yes,Yes,Yes,56.2,80.7,B
+521,Female,1.5,69.3,6.3,High School,Yes,No,Yes,81.6,64.7,D
+522,Male,4.6,73.7,5.4,PhD,No,Yes,Yes,74.8,71.8,C
+523,Female,4.5,73.1,6.3,High School,Yes,Yes,Yes,82.6,84.9,B
+524,Male,6.7,86.4,8.3,Bachelors,Yes,No,No,73.9,100.0,A
+525,Female,3.0,100.0,6.2,Masters,Yes,Yes,Yes,71.7,82.4,B
+526,Male,3.8,100.0,7.2,None,Yes,Yes,No,49.3,87.3,B
+527,Male,3.9,91.4,5.9,None,Yes,Yes,Yes,66.8,84.8,B
+528,Female,5.9,90.0,7.7,Masters,Yes,No,No,69.7,96.4,A
+529,Female,3.4,67.0,7.6,PhD,No,No,No,93.4,84.3,B
+530,Female,3.9,79.6,9.0,High School,Yes,No,No,78.2,84.5,B
+531,Male,4.4,77.1,6.6,High School,Yes,Yes,No,88.4,94.7,A
+532,Female,3.8,78.8,7.6,High School,Yes,Yes,No,77.2,89.6,B
+533,Male,2.8,83.3,6.9,Bachelors,Yes,No,No,61.5,68.6,D
+534,Male,3.8,80.3,8.4,Bachelors,Yes,No,No,71.4,92.8,A
+535,Male,5.1,65.2,5.9,Bachelors,Yes,Yes,No,72.8,80.7,B
+536,Female,2.0,92.5,7.7,High School,Yes,No,No,58.7,77.6,C
+537,Female,3.7,74.3,6.6,Masters,Yes,Yes,No,65.4,87.7,B
+538,Male,2.4,87.4,6.7,High School,Yes,Yes,No,67.5,86.0,B
+539,Male,5.3,100.0,6.9,High School,Yes,No,No,89.3,100.0,A
+540,Female,1.2,75.8,7.1,Bachelors,Yes,Yes,Yes,45.0,57.3,F
+541,Male,2.7,59.7,6.7,Masters,No,No,Yes,84.5,75.6,C
+542,Female,4.1,82.1,7.1,Masters,Yes,Yes,No,58.8,87.3,B
+543,Male,5.8,96.0,8.7,Bachelors,Yes,Yes,Yes,53.5,88.8,B
+544,Female,3.4,100.0,8.0,High School,Yes,No,No,84.2,91.8,A
+545,Male,2.7,72.7,7.8,Bachelors,Yes,No,Yes,78.8,66.0,D
+546,Female,6.3,90.0,6.3,High School,Yes,Yes,No,85.1,100.0,A
+547,Male,1.3,80.3,5.7,Bachelors,No,Yes,No,79.6,71.1,C
+548,Female,0.5,83.9,7.9,Bachelors,Yes,No,No,94.7,88.8,B
+549,Female,4.2,100.0,7.9,High School,Yes,Yes,No,76.7,100.0,A
+550,Male,2.7,70.0,8.6,High School,Yes,No,No,68.1,85.2,B
+551,Male,2.0,87.5,6.1,None,Yes,No,No,74.1,75.4,C
+552,Female,4.6,89.7,6.5,None,Yes,Yes,No,84.9,100.0,A
+553,Male,3.9,95.9,4.8,Bachelors,Yes,Yes,Yes,60.6,78.9,C
+554,Female,2.7,86.0,6.3,High School,Yes,Yes,No,62.2,83.4,B
+555,Male,1.6,88.1,8.0,High School,No,No,No,66.3,63.4,D
+556,Female,4.8,81.1,6.2,Bachelors,Yes,Yes,No,44.7,80.7,B
+557,Female,4.5,87.7,7.6,None,Yes,Yes,No,71.7,80.8,B
+558,Female,3.4,81.6,6.6,High School,Yes,Yes,No,47.4,73.1,C
+559,Female,6.3,91.2,7.2,Masters,Yes,No,Yes,70.6,99.8,A
+560,Female,1.9,81.3,5.4,High School,Yes,Yes,Yes,80.4,73.5,C
+561,Female,1.2,88.8,6.9,None,Yes,Yes,No,64.3,68.2,D
+562,Male,2.5,84.7,3.2,Bachelors,No,No,No,90.1,83.9,B
+563,Male,3.4,96.3,6.6,Masters,No,No,No,52.5,75.3,C
+564,Male,3.9,84.5,4.8,High School,No,No,Yes,84.3,78.7,C
+565,Female,3.1,67.3,8.2,Bachelors,Yes,Yes,No,78.1,82.8,B
+566,Female,4.0,97.6,7.7,High School,Yes,Yes,No,49.4,100.0,A
+567,Female,1.6,75.9,7.4,High School,Yes,No,No,100.0,92.6,A
+568,Female,5.7,78.5,8.6,None,Yes,Yes,Yes,69.2,99.1,A
+569,Male,3.4,79.0,5.7,None,Yes,No,Yes,59.5,76.2,C
+570,Male,5.2,98.7,8.9,PhD,Yes,No,Yes,53.1,90.9,A
+571,Female,4.0,63.6,7.9,Bachelors,Yes,Yes,Yes,67.4,63.3,D
+572,Male,4.2,100.0,6.5,Masters,Yes,No,Yes,68.5,85.0,B
+573,Male,4.4,95.6,8.2,High School,Yes,No,Yes,71.2,88.7,B
+574,Female,4.2,87.2,5.5,High School,Yes,Yes,No,66.4,75.3,C
+575,Male,4.5,84.5,5.8,High School,Yes,Yes,No,77.6,84.9,B
+576,Female,5.5,87.9,6.1,Bachelors,Yes,Yes,No,65.3,81.1,B
+577,Male,3.8,90.2,6.2,Bachelors,Yes,Yes,Yes,46.8,75.6,C
+578,Female,4.6,91.5,5.5,High School,Yes,Yes,No,68.2,95.5,A
+579,Female,3.4,90.6,8.3,Bachelors,Yes,No,No,41.6,83.3,B
+580,Female,5.7,85.9,6.5,Masters,Yes,No,Yes,74.2,95.7,A
+581,Female,2.5,83.0,7.2,Bachelors,Yes,Yes,No,58.2,70.4,C
+582,Male,6.2,83.5,6.1,High School,Yes,Yes,Yes,72.0,82.7,B
+583,Female,3.4,83.1,4.6,High School,Yes,No,No,85.8,76.7,C
+584,Female,1.4,96.3,7.1,High School,Yes,Yes,No,58.6,68.4,D
+585,Female,3.7,90.9,4.5,High School,Yes,No,No,82.7,84.6,B
+586,Male,2.5,55.6,6.7,Bachelors,Yes,Yes,No,64.8,67.7,D
+587,Female,4.8,91.6,5.2,Bachelors,No,Yes,No,91.0,89.2,B
+588,Male,2.5,86.9,9.2,Masters,Yes,Yes,No,65.6,85.0,B
+589,Female,2.8,84.8,7.9,Bachelors,Yes,No,No,59.9,77.3,C
+590,Male,0.7,81.1,6.9,Masters,Yes,Yes,Yes,78.2,72.2,C
+591,Male,2.8,96.2,8.3,High School,Yes,No,Yes,64.8,89.0,B
+592,Female,0.5,94.5,5.8,Bachelors,Yes,Yes,No,59.9,63.2,D
+593,Male,1.1,77.3,7.5,Masters,Yes,Yes,No,64.3,73.2,C
+594,Female,4.6,89.1,7.0,High School,No,Yes,No,69.5,87.0,B
+595,Female,4.7,75.3,7.1,High School,Yes,No,Yes,86.1,88.5,B
+596,Female,4.1,71.2,8.3,PhD,Yes,No,No,46.8,80.4,B
+597,Male,2.0,78.7,7.7,High School,Yes,Yes,Yes,70.3,80.2,B
+598,Male,3.4,93.6,7.1,Masters,No,Yes,No,77.5,80.9,B
+599,Female,3.5,94.5,4.8,High School,Yes,Yes,No,72.3,86.4,B
+600,Female,1.8,90.1,5.6,Masters,Yes,Yes,No,85.7,86.3,B
+601,Male,5.8,92.3,6.7,High School,Yes,Yes,Yes,69.1,93.4,A
+602,Female,4.8,90.2,6.9,High School,Yes,No,No,67.8,95.1,A
+603,Female,3.2,78.6,5.4,Bachelors,Yes,No,No,77.1,83.9,B
+604,Female,3.5,89.3,9.7,High School,Yes,Yes,No,71.2,100.0,A
+605,Male,3.8,93.0,8.6,Bachelors,Yes,Yes,No,65.3,80.9,B
+606,Male,0.5,92.5,7.5,High School,Yes,No,No,76.2,76.4,C
+607,Male,3.1,96.9,6.9,High School,No,No,No,62.2,73.6,C
+608,Female,2.5,92.1,6.5,High School,Yes,Yes,No,62.7,84.0,B
+609,Female,2.0,88.5,5.7,High School,No,Yes,Yes,63.7,58.6,F
+610,Female,3.1,95.7,6.9,None,Yes,Yes,No,86.2,96.3,A
+611,Male,6.2,84.7,7.1,High School,Yes,Yes,No,31.3,78.8,C
+612,Female,4.5,76.2,5.3,Bachelors,Yes,Yes,Yes,74.7,79.8,C
+613,Female,2.6,83.4,7.2,High School,Yes,Yes,Yes,70.4,70.0,C
+614,Female,4.4,77.6,6.6,High School,Yes,No,No,49.8,75.0,C
+615,Female,5.6,78.2,4.5,None,Yes,Yes,Yes,73.7,95.0,A
+616,Male,4.9,83.6,5.8,High School,Yes,Yes,No,75.7,92.4,A
+617,Male,3.6,77.1,6.3,None,Yes,Yes,Yes,77.1,86.4,B
+618,Female,2.5,81.9,9.1,High School,Yes,No,No,38.2,79.1,C
+619,Male,4.5,66.1,7.5,Masters,Yes,No,No,86.4,91.5,A
+620,Male,4.1,87.1,5.2,Bachelors,Yes,Yes,No,61.1,80.3,B
+621,Female,4.8,85.0,7.4,PhD,Yes,Yes,No,78.2,98.3,A
+622,Female,4.5,76.8,4.9,Bachelors,No,No,No,78.9,79.3,C
+623,Male,5.1,91.6,8.1,Bachelors,Yes,Yes,No,59.5,89.5,B
+624,Female,2.7,94.4,6.2,High School,Yes,Yes,Yes,77.9,75.7,C
+625,Male,5.5,68.9,6.7,High School,Yes,Yes,Yes,65.4,89.6,B
+626,Female,3.8,77.4,8.4,None,Yes,Yes,Yes,45.1,71.0,C
+627,Male,6.6,77.3,5.3,High School,No,Yes,No,84.0,96.8,A
+628,Female,2.5,75.6,5.1,Bachelors,Yes,No,Yes,60.7,61.9,D
+629,Male,6.1,93.3,6.1,Masters,Yes,No,Yes,59.7,93.9,A
+630,Male,3.8,83.1,8.0,High School,Yes,Yes,No,65.2,81.3,B
+631,Male,2.5,82.4,5.0,None,Yes,No,No,73.3,77.6,C
+632,Female,2.8,65.0,3.4,Masters,No,Yes,No,69.3,71.4,C
+633,Male,3.0,91.4,6.3,Bachelors,Yes,Yes,Yes,76.6,89.4,B
+634,Male,4.1,72.6,7.5,PhD,Yes,No,Yes,53.9,74.3,C
+635,Female,4.3,85.6,8.2,High School,Yes,No,No,61.1,76.0,C
+636,Female,2.6,87.8,6.2,High School,Yes,Yes,Yes,68.6,96.3,A
+637,Male,3.5,98.6,6.3,Bachelors,Yes,Yes,No,92.8,100.0,A
+638,Male,6.7,71.9,8.2,High School,Yes,No,No,68.6,99.9,A
+639,Female,6.1,54.8,4.6,Masters,Yes,No,No,83.0,83.8,B
+640,Female,4.2,86.8,6.3,None,No,No,Yes,70.5,79.4,C
+641,Female,3.6,100.0,7.0,Bachelors,Yes,Yes,No,64.2,86.0,B
+642,Female,3.7,97.4,7.3,High School,Yes,Yes,No,67.0,97.9,A
+643,Female,4.4,87.1,6.2,None,Yes,Yes,No,68.0,90.5,A
+644,Male,2.0,80.1,6.8,Bachelors,No,Yes,No,77.2,70.4,C
+645,Female,3.1,93.1,3.8,Bachelors,Yes,No,Yes,86.5,82.9,B
+646,Male,1.0,75.3,6.0,Bachelors,Yes,Yes,Yes,74.3,75.5,C
+647,Male,4.1,89.8,7.3,None,Yes,Yes,No,84.2,100.0,A
+648,Male,4.5,90.1,5.6,Bachelors,Yes,No,No,58.4,94.0,A
+649,Female,2.8,95.6,6.9,Masters,Yes,Yes,No,65.0,88.9,B
+650,Male,5.9,100.0,7.3,Masters,Yes,Yes,No,61.3,97.3,A
+651,Male,1.7,88.9,6.4,High School,Yes,No,No,73.8,59.5,F
+652,Female,1.3,79.9,7.0,Bachelors,Yes,No,No,65.7,73.3,C
+653,Male,3.8,84.7,5.6,Masters,Yes,No,No,78.8,88.0,B
+654,Male,5.1,67.3,6.6,Bachelors,No,Yes,Yes,58.8,74.8,C
+655,Female,6.0,78.1,7.5,Masters,No,No,No,70.5,89.9,B
+656,Male,2.8,80.9,7.0,None,Yes,No,Yes,78.2,72.6,C
+657,Male,5.1,79.8,6.1,Bachelors,Yes,Yes,No,45.2,83.6,B
+658,Male,3.4,86.5,7.1,Masters,Yes,Yes,No,95.5,100.0,A
+659,Female,3.2,76.8,7.7,Masters,Yes,No,No,66.6,84.3,B
+660,Female,4.8,96.2,4.3,Masters,Yes,Yes,Yes,45.7,85.4,B
+661,Female,4.5,85.0,8.2,Bachelors,Yes,No,No,71.9,95.2,A
+662,Male,1.1,84.9,6.4,High School,Yes,Yes,Yes,70.4,69.0,D
+663,Male,5.7,81.7,7.3,Bachelors,Yes,Yes,No,69.0,94.2,A
+664,Female,5.6,86.6,8.2,Masters,Yes,Yes,Yes,81.9,99.7,A
+665,Male,2.6,93.3,5.2,Bachelors,Yes,No,No,79.0,85.8,B
+666,Male,4.1,76.3,5.9,Masters,Yes,Yes,No,73.6,91.7,A
+667,Female,4.2,78.4,6.5,Bachelors,Yes,Yes,No,75.4,92.2,A
+668,Female,3.9,82.0,5.9,Bachelors,Yes,No,No,68.7,96.3,A
+669,Male,2.7,71.5,8.9,High School,Yes,No,Yes,91.3,97.6,A
+670,Male,2.5,76.8,5.8,Masters,Yes,No,Yes,52.2,66.4,D
+671,Male,3.5,80.2,6.1,Bachelors,Yes,Yes,No,71.7,60.8,D
+672,Female,5.3,93.7,7.0,High School,No,Yes,No,70.8,99.8,A
+673,Female,4.3,87.6,5.4,High School,Yes,No,Yes,79.8,85.2,B
+674,Female,2.9,86.9,6.3,Masters,Yes,No,No,59.9,73.2,C
+675,Female,4.7,93.5,7.2,Bachelors,Yes,Yes,No,49.1,83.8,B
+676,Male,0.5,83.6,6.4,High School,No,Yes,Yes,71.9,61.3,D
+677,Female,5.2,88.9,6.7,None,No,No,Yes,73.4,90.6,A
+678,Female,0.9,84.0,6.2,Masters,Yes,Yes,Yes,87.9,67.7,D
+679,Female,3.0,87.7,5.0,None,No,No,No,54.8,63.6,D
+680,Female,1.8,79.2,7.2,Bachelors,Yes,Yes,No,83.9,84.1,B
+681,Female,1.6,60.6,8.9,Bachelors,Yes,Yes,No,98.4,86.2,B
+682,Male,5.2,83.7,6.8,PhD,Yes,No,No,65.5,93.9,A
+683,Male,2.8,99.2,7.1,Bachelors,Yes,Yes,Yes,54.5,73.9,C
+684,Female,4.0,94.3,7.6,Masters,No,Yes,No,65.1,79.3,C
+685,Male,3.4,94.7,5.3,High School,Yes,Yes,No,70.2,83.8,B
+686,Female,4.2,97.4,8.8,Bachelors,No,Yes,Yes,76.8,91.7,A
+687,Female,3.6,85.9,7.0,High School,Yes,No,No,62.9,91.7,A
+688,Male,1.6,87.0,8.8,High School,Yes,No,No,88.7,74.4,C
+689,Male,5.0,78.8,5.9,High School,Yes,No,No,56.6,81.5,B
+690,Female,2.8,81.8,9.0,High School,Yes,Yes,No,49.1,67.7,D
+691,Female,1.2,91.2,7.7,None,Yes,Yes,Yes,83.3,71.0,C
+692,Female,2.9,97.0,7.5,High School,Yes,Yes,Yes,42.7,79.9,C
+693,Male,5.8,83.6,7.1,Masters,No,No,No,67.6,92.2,A
+694,Female,4.8,80.5,6.5,Masters,Yes,No,Yes,100.0,100.0,A
+695,Female,3.0,85.0,8.2,Bachelors,Yes,No,No,69.9,89.6,B
+696,Female,3.0,91.0,7.0,High School,Yes,Yes,No,56.6,77.5,C
+697,Male,3.0,70.6,4.4,Masters,Yes,Yes,No,69.3,72.6,C
+698,Female,6.6,62.0,5.5,Bachelors,No,Yes,No,69.4,97.9,A
+699,Female,4.1,79.5,6.6,Masters,Yes,Yes,No,71.9,85.5,B
+700,Male,4.1,72.8,7.2,Masters,Yes,Yes,No,77.9,92.1,A
+701,Female,5.0,79.9,6.7,None,Yes,No,No,57.5,84.5,B
+702,Female,3.9,83.5,8.3,Bachelors,Yes,Yes,Yes,90.3,82.8,B
+703,Male,3.1,80.5,4.5,High School,Yes,Yes,Yes,72.9,65.4,D
+704,Female,3.2,99.5,7.0,Bachelors,Yes,Yes,No,78.7,89.6,B
+705,Male,3.4,88.3,4.6,High School,Yes,No,Yes,62.5,83.1,B
+706,Male,3.4,88.0,7.7,PhD,Yes,No,Yes,85.4,94.2,A
+707,Female,4.6,91.2,6.7,High School,Yes,No,Yes,66.9,92.9,A
+708,Female,3.6,73.6,7.3,High School,Yes,No,No,73.3,77.1,C
+709,Female,4.6,95.4,5.8,Masters,Yes,Yes,No,58.8,98.3,A
+710,Female,3.4,84.2,8.3,Bachelors,Yes,No,Yes,58.0,72.1,C
+711,Male,3.6,91.7,8.1,Bachelors,Yes,Yes,No,78.3,94.6,A
+712,Female,0.5,74.3,7.5,Bachelors,Yes,Yes,No,64.7,67.1,D
+713,Male,4.9,69.5,6.6,PhD,No,No,Yes,59.8,72.2,C
+714,Female,4.0,93.2,7.5,High School,Yes,No,No,62.3,95.6,A
+715,Female,5.0,88.8,6.0,PhD,Yes,Yes,No,78.4,91.9,A
+716,Female,0.5,76.0,7.8,High School,No,Yes,No,62.5,54.1,F
+717,Male,6.6,76.3,8.8,Masters,Yes,Yes,No,68.6,98.5,A
+718,Female,3.3,96.3,8.1,Masters,Yes,Yes,Yes,70.2,85.0,B
+719,Female,5.2,73.1,5.9,High School,Yes,Yes,No,47.0,99.1,A
+720,Female,1.9,100.0,7.2,Bachelors,Yes,Yes,Yes,52.3,78.2,C
+721,Female,4.4,76.0,5.2,High School,Yes,Yes,No,74.0,83.8,B
+722,Male,1.9,91.4,7.5,Masters,Yes,No,No,61.2,70.7,C
+723,Female,2.6,81.7,7.3,Bachelors,No,Yes,No,82.7,69.9,D
+724,Male,6.4,91.0,4.6,Bachelors,Yes,Yes,Yes,81.6,93.7,A
+725,Male,3.2,79.6,5.4,High School,Yes,Yes,No,78.6,84.9,B
+726,Male,3.8,83.4,6.5,High School,Yes,No,No,91.8,100.0,A
+727,Male,4.8,85.4,6.4,High School,Yes,Yes,No,69.0,97.5,A
+728,Male,4.2,75.0,5.3,High School,Yes,Yes,No,77.8,88.0,B
+729,Male,3.7,92.4,7.3,Bachelors,Yes,Yes,No,63.0,85.0,B
+730,Female,4.0,79.9,7.1,PhD,Yes,No,No,99.4,98.9,A
+731,Male,7.1,82.7,6.6,Masters,Yes,No,No,93.8,100.0,A
+732,Male,3.4,75.1,5.9,Bachelors,No,No,No,70.1,85.0,B
+733,Male,3.8,59.4,8.1,None,No,No,No,74.6,74.3,C
+734,Female,5.1,83.1,8.8,Masters,Yes,No,No,86.3,99.6,A
+735,Female,5.2,100.0,6.2,None,Yes,No,Yes,68.2,79.8,C
+736,Male,5.3,92.8,6.1,Bachelors,Yes,Yes,No,62.1,91.3,A
+737,Female,4.5,84.8,7.4,High School,No,Yes,No,80.5,95.0,A
+738,Male,1.8,82.4,6.4,High School,Yes,No,Yes,70.9,66.6,D
+739,Male,6.0,85.2,6.6,Masters,Yes,Yes,No,72.2,93.1,A
+740,Female,1.8,90.5,7.7,High School,Yes,Yes,No,60.0,81.8,B
+741,Male,4.0,73.2,4.5,High School,Yes,No,No,49.4,62.9,D
+742,Female,2.4,96.1,8.4,Bachelors,Yes,Yes,No,72.8,94.0,A
+743,Female,3.4,92.2,6.9,Bachelors,Yes,No,Yes,80.9,85.0,B
+744,Male,4.0,92.2,6.3,Bachelors,Yes,No,Yes,67.3,82.4,B
+745,Male,4.0,89.4,6.7,High School,Yes,Yes,No,87.2,89.5,B
+746,Female,4.1,85.2,6.8,Bachelors,Yes,No,Yes,61.6,83.3,B
+747,Male,5.9,91.7,4.7,Bachelors,Yes,Yes,Yes,57.3,100.0,A
+748,Male,4.2,90.9,8.6,None,No,Yes,No,69.2,92.4,A
+749,Male,3.1,81.5,6.8,Masters,Yes,Yes,No,69.0,77.0,C
+750,Female,4.9,79.3,7.3,None,No,No,No,79.2,95.1,A
+751,Female,5.3,86.0,7.9,Masters,Yes,No,No,60.7,88.8,B
+752,Male,1.7,100.0,5.6,Bachelors,Yes,Yes,Yes,86.4,93.2,A
+753,Female,4.4,72.6,7.4,High School,Yes,No,Yes,93.6,96.4,A
+754,Female,4.6,70.3,6.5,Masters,Yes,Yes,No,69.5,67.2,D
+755,Female,3.1,86.6,7.8,Bachelors,Yes,No,No,85.0,84.6,B
+756,Female,5.6,85.5,4.2,Bachelors,Yes,Yes,Yes,57.3,89.8,B
+757,Female,3.3,86.7,6.7,Bachelors,Yes,No,No,82.9,90.3,A
+758,Male,3.7,87.4,6.1,Bachelors,Yes,Yes,Yes,82.6,82.5,B
+759,Male,3.2,82.8,7.3,High School,Yes,Yes,No,80.4,84.5,B
+760,Male,3.5,99.9,7.4,Bachelors,No,Yes,Yes,69.8,72.1,C
+761,Female,1.9,69.0,6.0,High School,Yes,No,Yes,34.5,53.2,F
+762,Female,1.3,76.7,5.9,Masters,No,Yes,Yes,62.3,74.0,C
+763,Male,5.9,84.0,6.7,High School,Yes,No,No,62.5,96.8,A
+764,Female,2.2,68.6,5.7,High School,Yes,Yes,No,58.3,81.2,B
+765,Male,2.0,83.2,7.8,Bachelors,Yes,Yes,No,71.5,85.4,B
+766,Male,0.5,100.0,6.4,Masters,Yes,Yes,No,65.0,81.1,B
+767,Male,2.5,85.2,3.3,Bachelors,Yes,No,No,60.1,83.9,B
+768,Female,1.5,87.3,6.4,High School,Yes,Yes,Yes,57.3,71.2,C
+769,Female,6.0,72.4,5.6,Bachelors,Yes,No,No,61.4,85.5,B
+770,Male,5.0,78.8,4.8,High School,Yes,No,No,83.5,98.4,A
+771,Male,2.5,81.2,5.3,None,Yes,No,No,62.1,82.6,B
+772,Male,6.9,81.8,6.9,None,Yes,Yes,Yes,63.8,91.6,A
+773,Male,5.0,97.8,8.4,Bachelors,Yes,No,No,64.5,91.3,A
+774,Female,3.0,90.6,7.2,High School,Yes,No,Yes,74.1,84.3,B
+775,Female,0.5,73.9,6.1,Masters,Yes,Yes,No,75.5,74.6,C
+776,Male,6.9,87.5,7.3,High School,Yes,No,Yes,33.5,88.6,B
+777,Male,1.4,90.0,6.2,Bachelors,Yes,Yes,No,82.3,73.6,C
+778,Female,1.0,96.4,6.0,High School,Yes,Yes,No,87.2,95.8,A
+779,Female,5.0,100.0,5.4,None,Yes,Yes,No,57.4,87.1,B
+780,Male,7.2,74.8,4.7,High School,Yes,Yes,No,58.3,89.9,B
+781,Male,5.6,76.9,6.3,Bachelors,No,Yes,No,64.6,79.1,C
+782,Male,4.3,72.4,7.0,Masters,Yes,Yes,No,60.9,97.6,A
+783,Female,4.4,82.7,6.7,Bachelors,Yes,No,No,72.7,90.3,A
+784,Female,4.8,89.7,6.3,High School,Yes,Yes,No,46.6,78.1,C
+785,Female,4.6,94.9,5.7,None,Yes,Yes,No,56.6,92.6,A
+786,Male,3.9,84.2,7.5,Bachelors,Yes,Yes,Yes,88.5,97.0,A
+787,Male,3.7,81.8,5.2,Bachelors,Yes,No,No,58.9,77.0,C
+788,Female,3.4,86.5,7.7,High School,Yes,No,No,84.9,96.8,A
+789,Female,2.4,76.6,5.6,Bachelors,Yes,No,No,74.3,72.1,C
+790,Male,3.1,100.0,5.9,Bachelors,Yes,No,No,48.3,75.4,C
+791,Female,1.0,68.9,5.0,High School,Yes,Yes,No,77.6,57.6,F
+792,Female,3.4,86.8,6.2,High School,No,No,Yes,68.6,67.6,D
+793,Male,2.0,100.0,8.0,Masters,Yes,Yes,Yes,64.5,91.2,A
+794,Female,1.8,85.1,7.4,High School,Yes,Yes,Yes,72.9,86.8,B
+795,Male,3.8,83.1,8.0,High School,Yes,No,No,75.7,89.5,B
+796,Male,5.6,81.4,7.4,Bachelors,Yes,Yes,No,78.5,100.0,A
+797,Male,4.9,83.2,5.5,Masters,Yes,No,No,84.1,93.4,A
+798,Male,1.1,98.7,6.4,High School,Yes,No,No,74.9,78.7,C
+799,Male,2.0,62.9,5.9,Bachelors,Yes,Yes,Yes,53.5,60.8,D
+800,Male,4.9,100.0,8.4,High School,Yes,Yes,No,64.3,96.1,A
+801,Male,2.0,70.8,5.4,High School,Yes,Yes,No,100.0,83.0,B
+802,Female,3.2,82.3,7.9,High School,Yes,No,No,78.7,94.0,A
+803,Male,4.3,80.7,7.9,Masters,Yes,No,No,98.4,100.0,A
+804,Male,2.0,90.9,9.0,High School,Yes,Yes,No,86.7,94.6,A
+805,Female,3.7,69.0,6.3,High School,Yes,Yes,No,72.9,87.7,B
+806,Female,1.5,89.6,7.7,Bachelors,Yes,No,No,73.6,82.1,B
+807,Female,2.6,100.0,9.5,Masters,Yes,No,Yes,69.6,80.1,B
+808,Male,4.0,71.4,6.1,High School,No,Yes,Yes,49.1,57.8,F
+809,Female,1.1,86.9,5.0,Bachelors,Yes,Yes,No,70.2,74.3,C
+810,Male,4.2,78.4,4.5,High School,No,No,No,84.5,82.5,B
+811,Male,3.5,89.3,7.7,Bachelors,Yes,Yes,No,62.8,85.9,B
+812,Male,4.3,85.2,4.5,Bachelors,Yes,Yes,No,74.9,88.4,B
+813,Male,3.8,78.6,6.4,Bachelors,Yes,No,No,80.2,100.0,A
+814,Female,5.5,89.9,7.3,High School,No,No,Yes,59.1,75.6,C
+815,Female,3.7,100.0,7.0,High School,Yes,Yes,No,64.6,78.0,C
+816,Male,2.9,83.1,7.3,High School,Yes,Yes,No,57.8,80.0,B
+817,Male,3.7,92.2,7.1,Bachelors,Yes,Yes,Yes,60.1,80.2,B
+818,Male,4.3,72.1,8.3,High School,Yes,Yes,No,54.5,82.2,B
+819,Female,3.6,75.4,5.7,Masters,Yes,No,No,59.2,79.6,C
+820,Male,3.6,89.7,6.0,None,No,Yes,No,87.0,96.3,A
+821,Male,2.4,99.8,5.9,None,No,No,No,59.0,65.4,D
+822,Female,2.5,88.6,7.8,PhD,Yes,No,No,71.5,79.9,C
+823,Female,1.4,81.9,7.9,Bachelors,No,Yes,No,64.0,71.6,C
+824,Male,6.1,85.0,7.3,Masters,Yes,Yes,No,84.1,100.0,A
+825,Female,1.6,72.5,8.2,High School,Yes,Yes,No,85.7,93.9,A
+826,Female,2.5,91.0,5.4,Bachelors,Yes,No,Yes,80.4,87.5,B
+827,Male,2.4,93.8,8.8,Bachelors,Yes,No,No,73.7,86.3,B
+828,Female,4.8,80.5,8.6,Bachelors,No,Yes,Yes,67.2,77.6,C
+829,Male,3.1,80.3,7.7,Masters,Yes,No,Yes,55.7,70.2,C
+830,Female,5.4,87.7,8.9,High School,Yes,No,No,93.3,100.0,A
+831,Male,2.5,80.6,4.8,High School,Yes,No,Yes,60.9,73.5,C
+832,Male,3.9,84.3,6.2,None,Yes,Yes,No,78.0,91.2,A
+833,Male,2.2,100.0,5.9,High School,Yes,Yes,Yes,82.7,78.1,C
+834,Female,6.7,82.5,7.7,Bachelors,No,No,No,63.3,89.0,B
+835,Male,1.7,81.4,5.5,None,Yes,Yes,Yes,82.5,82.0,B
+836,Female,4.0,78.5,7.7,Bachelors,Yes,Yes,Yes,79.2,89.5,B
+837,Male,4.5,92.4,8.4,Bachelors,Yes,Yes,Yes,90.7,100.0,A
+838,Male,4.1,83.2,7.6,High School,Yes,Yes,No,64.4,88.7,B
+839,Female,3.2,78.5,7.1,High School,Yes,Yes,No,54.6,86.0,B
+840,Male,3.3,98.2,5.6,PhD,Yes,No,Yes,63.9,82.9,B
+841,Male,3.6,99.2,5.8,Bachelors,Yes,Yes,No,72.5,88.6,B
+842,Female,3.3,79.0,8.3,Bachelors,Yes,Yes,No,70.7,79.2,C
+843,Male,4.9,66.3,7.7,High School,Yes,No,No,65.3,85.1,B
+844,Male,6.8,95.1,6.8,High School,Yes,Yes,No,47.1,80.2,B
+845,Male,2.7,78.2,6.3,None,Yes,Yes,No,75.6,80.2,B
+846,Male,1.4,92.9,4.4,Bachelors,Yes,No,Yes,93.7,80.3,B
+847,Female,3.4,65.3,5.5,Bachelors,Yes,No,No,75.6,69.8,D
+848,Female,7.4,93.9,9.1,High School,No,No,No,77.3,100.0,A
+849,Male,2.3,72.9,5.3,Masters,Yes,No,No,76.9,80.8,B
+850,Female,6.0,92.3,7.0,None,Yes,Yes,Yes,74.8,100.0,A
+851,Male,6.0,85.1,8.0,Bachelors,Yes,No,Yes,81.2,99.5,A
+852,Female,2.7,75.5,5.3,High School,Yes,Yes,No,74.7,80.7,B
+853,Male,4.4,80.9,7.0,Bachelors,Yes,No,No,66.2,86.6,B
+854,Male,5.9,91.9,7.9,Masters,No,Yes,No,60.4,98.8,A
+855,Male,2.9,86.1,6.8,Bachelors,Yes,No,No,67.0,81.9,B
+856,Male,3.2,90.8,10.0,PhD,Yes,No,Yes,73.8,79.0,C
+857,Male,2.6,100.0,4.8,Bachelors,Yes,No,No,66.2,91.7,A
+858,Male,2.0,69.4,8.1,PhD,Yes,Yes,No,73.8,78.8,C
+859,Female,2.5,100.0,6.6,Bachelors,Yes,Yes,No,75.3,84.8,B
+860,Male,1.7,86.0,7.7,High School,No,No,Yes,80.0,66.5,D
+861,Female,3.6,76.0,7.3,High School,Yes,No,No,85.4,91.1,A
+862,Male,2.3,71.7,5.9,High School,Yes,Yes,No,70.9,74.2,C
+863,Female,3.9,83.1,7.1,None,Yes,No,Yes,54.3,86.3,B
+864,Female,1.2,94.2,4.6,Masters,Yes,No,No,65.9,71.2,C
+865,Female,4.0,83.7,7.5,Masters,Yes,Yes,No,70.5,83.5,B
+866,Male,4.8,100.0,7.2,High School,Yes,No,Yes,48.0,89.8,B
+867,Male,0.5,70.5,7.6,High School,Yes,Yes,No,86.7,80.3,B
+868,Female,4.1,84.9,8.1,Masters,Yes,Yes,No,71.7,91.6,A
+869,Male,5.3,72.5,7.2,Bachelors,Yes,Yes,No,74.6,95.8,A
+870,Female,1.7,88.6,7.0,High School,Yes,No,No,86.4,84.4,B
+871,Male,6.0,93.9,5.7,Bachelors,Yes,No,No,62.4,96.1,A
+872,Female,4.1,80.8,5.9,High School,Yes,Yes,Yes,76.9,92.6,A
+873,Female,2.4,59.0,8.2,High School,Yes,No,No,68.7,75.5,C
+874,Male,3.4,87.0,8.5,Bachelors,Yes,No,No,67.8,85.1,B
+875,Female,4.3,89.4,6.5,High School,Yes,No,No,60.7,93.8,A
+876,Male,3.6,89.0,6.9,None,Yes,Yes,No,90.0,81.4,B
+877,Female,4.3,97.4,5.7,High School,Yes,No,Yes,65.5,98.8,A
+878,Female,2.1,74.3,8.2,High School,No,Yes,No,78.4,65.4,D
+879,Male,3.8,91.8,7.6,High School,Yes,Yes,No,47.5,77.6,C
+880,Male,1.4,96.9,9.1,Masters,Yes,Yes,Yes,84.2,85.6,B
+881,Male,3.3,67.2,5.7,Bachelors,Yes,Yes,No,82.6,81.4,B
+882,Female,2.1,88.2,6.3,Bachelors,Yes,No,No,71.2,85.4,B
+883,Male,2.4,80.0,7.1,High School,Yes,Yes,No,67.3,71.9,C
+884,Female,5.4,84.2,7.6,High School,Yes,No,Yes,74.8,94.4,A
+885,Female,5.1,88.5,6.5,Bachelors,Yes,Yes,No,97.5,100.0,A
+886,Male,4.4,80.1,5.8,Masters,Yes,Yes,Yes,48.8,77.1,C
+887,Male,1.9,78.2,7.9,PhD,Yes,No,Yes,79.4,76.8,C
+888,Female,3.0,85.3,7.7,High School,Yes,No,No,59.1,79.8,C
+889,Female,5.3,74.1,5.7,Bachelors,Yes,Yes,Yes,69.8,82.2,B
+890,Male,3.7,74.1,8.4,None,Yes,Yes,Yes,67.0,77.4,C
+891,Male,7.0,91.8,8.2,Bachelors,Yes,Yes,Yes,64.9,100.0,A
+892,Male,4.1,73.5,7.0,Masters,Yes,Yes,Yes,69.9,87.2,B
+893,Male,3.8,91.7,6.9,High School,Yes,No,Yes,56.4,76.4,C
+894,Male,3.0,89.6,7.5,None,No,No,No,82.4,79.6,C
+895,Female,3.7,67.7,5.8,Masters,Yes,Yes,Yes,48.5,71.4,C
+896,Female,3.3,78.2,6.8,None,Yes,No,Yes,76.5,80.8,B
+897,Female,4.6,96.9,4.2,Masters,Yes,No,Yes,66.1,91.1,A
+898,Female,4.9,75.2,7.9,Bachelors,Yes,Yes,No,55.9,78.8,C
+899,Male,2.3,80.4,4.9,None,Yes,Yes,No,72.4,66.7,D
+900,Male,1.5,89.6,8.6,High School,Yes,No,No,51.3,68.8,D
+901,Male,0.7,92.8,6.4,High School,Yes,No,No,70.5,69.9,D
+902,Female,4.3,82.5,6.5,Masters,Yes,Yes,No,52.9,80.7,B
+903,Female,1.8,79.0,6.0,Masters,Yes,Yes,No,75.5,73.3,C
+904,Male,0.5,99.2,6.5,None,No,Yes,Yes,58.9,68.8,D
+905,Male,4.1,100.0,8.5,High School,Yes,No,No,64.6,90.8,A
+906,Female,7.2,94.8,3.8,Masters,Yes,Yes,No,73.5,100.0,A
+907,Female,3.5,85.9,8.3,Masters,Yes,Yes,No,60.7,85.0,B
+908,Male,4.8,76.9,7.2,High School,Yes,No,Yes,69.3,86.0,B
+909,Male,3.6,76.7,5.4,Bachelors,Yes,No,No,51.8,73.1,C
+910,Female,3.4,90.2,5.5,High School,Yes,No,Yes,77.6,87.6,B
+911,Male,4.9,89.2,8.8,High School,Yes,Yes,Yes,91.2,96.5,A
+912,Male,3.1,99.0,5.7,None,Yes,Yes,No,100.0,100.0,A
+913,Male,3.9,91.5,5.4,Bachelors,No,Yes,No,71.1,82.1,B
+914,Female,4.0,70.0,8.2,Masters,Yes,Yes,No,79.5,80.3,B
+915,Female,2.5,95.5,7.2,None,Yes,No,No,48.6,76.9,C
+916,Female,5.0,75.0,5.7,Bachelors,No,Yes,Yes,88.0,81.7,B
+917,Female,3.2,81.2,7.1,Masters,Yes,Yes,Yes,79.3,88.1,B
+918,Female,2.4,87.5,5.6,Bachelors,Yes,Yes,Yes,64.2,88.1,B
+919,Female,4.3,100.0,8.1,PhD,Yes,Yes,No,84.8,97.3,A
+920,Female,2.2,100.0,8.1,High School,Yes,No,Yes,66.9,83.4,B
+921,Male,3.5,91.1,7.4,None,Yes,Yes,Yes,64.5,72.8,C
+922,Male,3.5,83.2,7.2,High School,Yes,Yes,No,75.7,90.5,A
+923,Male,5.1,90.3,8.9,High School,Yes,Yes,Yes,57.2,83.8,B
+924,Male,4.2,93.9,6.8,Masters,Yes,Yes,No,82.3,93.1,A
+925,Male,3.5,81.8,5.4,Bachelors,Yes,Yes,No,57.3,71.2,C
+926,Male,4.7,100.0,7.3,Bachelors,Yes,No,No,57.4,95.3,A
+927,Male,5.6,87.3,9.3,Bachelors,Yes,No,No,59.1,99.6,A
+928,Female,4.3,90.0,5.6,Masters,Yes,No,No,79.1,92.4,A
+929,Female,3.5,91.7,6.4,High School,Yes,No,Yes,62.6,75.4,C
+930,Male,1.5,89.2,7.3,High School,Yes,No,No,53.8,80.8,B
+931,Male,1.9,93.4,6.7,High School,Yes,No,No,62.7,72.9,C
+932,Female,3.0,78.8,5.6,Bachelors,Yes,Yes,Yes,69.6,63.7,D
+933,Male,2.6,79.4,8.1,High School,Yes,Yes,Yes,55.8,75.3,C
+934,Male,3.2,74.0,9.6,Bachelors,Yes,Yes,No,56.2,71.7,C
+935,Female,3.6,89.4,7.0,Bachelors,Yes,No,No,95.3,100.0,A
+936,Male,4.3,92.8,5.7,High School,Yes,No,No,59.7,83.3,B
+937,Female,3.4,89.6,4.9,Bachelors,Yes,No,No,66.1,85.6,B
+938,Male,4.2,100.0,7.1,PhD,No,Yes,Yes,65.6,93.1,A
+939,Female,3.6,84.9,8.1,High School,Yes,No,No,64.9,77.3,C
+940,Female,0.5,91.7,7.4,Bachelors,Yes,Yes,No,77.5,74.8,C
+941,Female,2.1,74.1,6.8,Masters,Yes,Yes,Yes,81.4,76.7,C
+942,Male,3.3,81.1,6.1,Bachelors,No,Yes,No,66.3,85.3,B
+943,Female,1.7,92.0,5.5,Masters,Yes,Yes,No,55.2,68.6,D
+944,Male,4.4,93.5,7.8,Bachelors,Yes,Yes,No,85.3,96.4,A
+945,Male,5.8,82.1,7.9,Bachelors,Yes,Yes,Yes,68.9,95.7,A
+946,Male,5.3,84.3,4.9,High School,Yes,Yes,No,90.8,96.1,A
+947,Male,3.2,69.8,8.7,Masters,Yes,No,No,43.1,70.4,C
+948,Female,5.7,81.4,7.5,Masters,Yes,No,No,72.3,85.8,B
+949,Female,3.7,93.9,8.5,High School,No,No,No,93.0,100.0,A
+950,Male,3.0,90.8,5.2,Bachelors,No,Yes,Yes,65.8,65.8,D
+951,Male,2.6,90.0,5.2,None,No,No,No,67.3,72.4,C
+952,Female,3.0,85.5,6.6,Bachelors,Yes,No,No,73.5,83.6,B
+953,Male,2.9,85.1,7.4,Bachelors,Yes,Yes,Yes,63.3,89.5,B
+954,Female,3.8,78.4,9.0,None,Yes,Yes,No,66.3,77.9,C
+955,Male,3.7,92.0,7.6,Masters,Yes,Yes,No,65.9,100.0,A
+956,Male,3.5,89.2,6.5,Bachelors,Yes,Yes,No,62.5,88.3,B
+957,Female,4.2,89.9,5.6,Masters,Yes,No,Yes,84.7,93.5,A
+958,Male,5.3,79.7,8.3,PhD,Yes,No,No,75.5,89.0,B
+959,Female,4.9,63.5,5.6,Bachelors,Yes,Yes,No,73.0,87.6,B
+960,Male,1.3,96.0,8.8,Bachelors,Yes,No,No,79.7,80.5,B
+961,Male,0.5,80.2,6.5,Bachelors,Yes,No,No,66.8,75.4,C
+962,Male,4.9,76.4,8.7,None,Yes,No,No,60.7,80.7,B
+963,Female,1.4,91.9,7.6,Masters,Yes,Yes,Yes,62.8,73.0,C
+964,Male,3.2,81.1,6.6,High School,Yes,No,No,70.0,78.4,C
+965,Male,1.7,95.6,6.2,PhD,Yes,Yes,No,57.3,69.5,D
+966,Male,0.8,91.2,6.4,Bachelors,Yes,No,No,64.0,76.2,C
+967,Male,4.3,91.8,7.3,High School,Yes,Yes,Yes,63.8,90.0,A
+968,Female,4.6,71.3,6.9,Bachelors,Yes,Yes,No,95.5,100.0,A
+969,Female,2.6,97.1,6.1,Bachelors,Yes,No,No,36.7,60.0,D
+970,Male,0.5,87.6,6.6,PhD,Yes,Yes,No,67.8,78.3,C
+971,Female,2.7,81.3,6.9,High School,Yes,Yes,Yes,90.7,100.0,A
+972,Male,4.1,86.4,4.2,Masters,No,Yes,Yes,71.5,75.6,C
+973,Male,1.3,67.2,7.3,Bachelors,Yes,No,No,79.0,84.1,B
+974,Male,3.8,89.1,5.6,High School,No,Yes,Yes,71.2,77.9,C
+975,Female,3.5,74.7,5.4,None,Yes,No,No,62.0,67.9,D
+976,Female,4.4,71.5,4.8,Bachelors,Yes,Yes,Yes,43.1,67.0,D
+977,Female,3.7,69.8,4.6,High School,No,Yes,No,72.5,80.9,B
+978,Female,2.0,96.1,5.2,Bachelors,Yes,Yes,No,60.7,72.1,C
+979,Female,5.3,78.7,5.9,PhD,Yes,Yes,No,60.4,83.0,B
+980,Female,3.3,100.0,9.1,High School,Yes,Yes,No,64.0,93.9,A
+981,Female,3.5,79.6,6.2,High School,Yes,Yes,No,90.9,91.4,A
+982,Female,2.1,67.9,7.0,High School,No,No,Yes,98.9,79.7,C
+983,Female,2.8,73.8,7.3,High School,Yes,No,Yes,72.6,77.7,C
+984,Male,2.2,97.4,7.0,Masters,Yes,Yes,No,64.4,85.0,B
+985,Female,3.2,83.4,6.7,Bachelors,Yes,Yes,No,55.9,75.4,C
+986,Female,6.1,79.5,5.4,High School,Yes,No,No,75.6,96.4,A
+987,Female,1.4,86.6,8.5,High School,Yes,Yes,No,91.4,81.8,B
+988,Female,1.1,90.0,9.0,High School,Yes,Yes,No,67.0,85.8,B
+989,Female,5.7,96.2,4.8,None,Yes,No,No,41.5,80.9,B
+990,Female,3.2,99.5,5.6,High School,Yes,No,Yes,78.0,93.9,A
+991,Female,2.5,81.4,6.5,None,Yes,No,No,81.8,81.9,B
+992,Female,5.1,71.7,5.6,Bachelors,Yes,Yes,No,51.0,80.4,B
+993,Female,2.6,80.9,7.4,High School,Yes,Yes,No,72.1,78.8,C
+994,Female,6.2,87.6,5.9,PhD,Yes,No,No,75.4,92.7,A
+995,Female,4.5,75.4,9.4,Bachelors,Yes,Yes,No,69.1,79.1,C
+996,Male,2.8,75.4,8.2,Masters,Yes,Yes,No,60.5,70.7,C
+997,Male,6.7,88.4,7.1,None,No,Yes,No,82.2,99.5,A
+998,Female,2.6,84.5,8.0,High School,Yes,Yes,Yes,65.2,79.2,C
+999,Female,4.6,85.3,8.1,High School,No,No,Yes,52.2,82.2,B
+1000,Male,3.9,77.4,6.1,Masters,Yes,No,No,45.4,70.4,C
diff --git a/wayang-jdbc/demo/run-demo-client.sh b/wayang-jdbc/demo/run-demo-client.sh
new file mode 100644
index 000000000..3fe12a124
--- /dev/null
+++ b/wayang-jdbc/demo/run-demo-client.sh
@@ -0,0 +1,48 @@
+#!/usr/bin/env bash
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to you under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+set -euo pipefail
+
+script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+repo_root="$(cd "${script_dir}/../.." && pwd)"
+demo_classes_dir="${repo_root}/target/wayang-jdbc-demo/classes"
+data_dir="${script_dir}/data"
+driver_classpath_file="${repo_root}/wayang-jdbc/wayang-jdbc-driver/target/runtime-classpath.txt"
+driver_jar="${repo_root}/wayang-jdbc/wayang-jdbc-driver/target/apache-wayang-jdbc-driver-1.1.2-SNAPSHOT.jar"
+jdbc_url="${1:-jdbc:wayang://127.0.0.1:9999/demo}"
+
+cd "${repo_root}"
+
+mkdir -p "${demo_classes_dir}"
+
+echo "Building Wayang JDBC driver artifacts..."
+./mvnw -pl :wayang-jdbc-driver -am -DskipTests -Dmaven.javadoc.skip=true install
+
+echo "Creating driver runtime classpath..."
+./mvnw -pl :wayang-jdbc-driver -DincludeScope=runtime -Dmdep.outputFile=target/runtime-classpath.txt dependency:build-classpath
+
+echo "Compiling demo client..."
+javac -cp "${driver_jar}:$(cat "${driver_classpath_file}")" \
+ -d "${demo_classes_dir}" \
+ "${script_dir}/CsvSelectionOperationsDemo.java"
+
+echo "Running demo client..."
+java -cp "${demo_classes_dir}:${driver_jar}:$(cat "${driver_classpath_file}")" \
+ CsvSelectionOperationsDemo \
+ "${data_dir}" \
+ fs \
+ "${jdbc_url}"
diff --git a/wayang-jdbc/demo/start-demo-server.sh b/wayang-jdbc/demo/start-demo-server.sh
new file mode 100644
index 000000000..321920df7
--- /dev/null
+++ b/wayang-jdbc/demo/start-demo-server.sh
@@ -0,0 +1,57 @@
+#!/usr/bin/env bash
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to you under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+set -euo pipefail
+
+script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+repo_root="$(cd "${script_dir}/../.." && pwd)"
+demo_work_dir="${TMPDIR:-/tmp}/wayang-jdbc-demo"
+demo_properties="${demo_work_dir}/wayang.properties"
+data_dir="${script_dir}/data"
+model_data_dir="/${data_dir}"
+demo_properties_url="file:${demo_properties}"
+server_classpath_file="${repo_root}/wayang-jdbc/wayang-jdbc-server/target/runtime-classpath.txt"
+server_jar="${repo_root}/wayang-jdbc/wayang-jdbc-server/target/apache-wayang-jdbc-server-1.1.2-SNAPSHOT.jar"
+
+mkdir -p "${demo_work_dir}"
+
+cat > "${demo_properties}" <
+
+
+ 4.0.0
+ pom
+
+
+ wayang
+ org.apache.wayang
+ 1.1.2-SNAPSHOT
+
+
+ wayang-jdbc
+
+ Wayang JDBC
+
+ This module aggregates the external client-server JDBC interface for Apache Wayang.
+
+
+
+ wayang-jdbc-protocol
+ wayang-jdbc-client
+ wayang-jdbc-server
+
+
+
diff --git a/wayang-jdbc/wayang-jdbc-client/pom.xml b/wayang-jdbc/wayang-jdbc-client/pom.xml
new file mode 100644
index 000000000..d0106dd25
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/pom.xml
@@ -0,0 +1,50 @@
+
+
+
+ 4.0.0
+
+
+ wayang-jdbc
+ org.apache.wayang
+ 1.1.2-SNAPSHOT
+
+
+ wayang-jdbc-client
+
+ Wayang JDBC Driver
+
+ Lightweight JDBC client driver that connects external JDBC applications to a Wayang JDBC server.
+
+
+
+ org.apache.wayang.jdbc.driver
+
+
+
+
+ org.apache.wayang
+ wayang-jdbc-protocol
+ 1.1.2-SNAPSHOT
+
+
+
+
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangConnection.java b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangConnection.java
new file mode 100644
index 000000000..f736f1283
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangConnection.java
@@ -0,0 +1,594 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import java.sql.Array;
+import java.sql.Blob;
+import java.sql.CallableStatement;
+import java.sql.ClientInfoStatus;
+import java.sql.Clob;
+import java.sql.Connection;
+import java.sql.DatabaseMetaData;
+import java.sql.NClob;
+import java.sql.PreparedStatement;
+import java.sql.ResultSet;
+import java.sql.SQLClientInfoException;
+import java.sql.SQLFeatureNotSupportedException;
+import java.sql.SQLException;
+import java.sql.SQLWarning;
+import java.sql.SQLXML;
+import java.sql.Savepoint;
+import java.sql.Statement;
+import java.sql.Struct;
+import java.util.Collections;
+import java.util.LinkedHashMap;
+import java.util.LinkedHashSet;
+import java.util.Map;
+import java.util.Objects;
+import java.util.Properties;
+import java.util.Set;
+import java.util.concurrent.Executor;
+
+class WayangConnection implements Connection {
+
+ private final WayangJdbcClient client;
+
+ private final String jdbcUrl;
+
+ private final String userName;
+
+ private final Properties clientInfo = new Properties();
+
+ private final Set statements = new LinkedHashSet<>();
+
+ private volatile boolean closed;
+ private volatile boolean closing;
+ private boolean readOnly = true;
+ private boolean autoCommit = true;
+ private final String catalog;
+ private final String schema;
+
+ WayangConnection(final WayangJdbcClient client, final String database) {
+ this(client, database, null, null);
+ }
+
+ WayangConnection(
+ final WayangJdbcClient client,
+ final String database,
+ final String jdbcUrl,
+ final Properties properties
+ ) {
+ if (client == null) {
+ throw new IllegalArgumentException("JDBC client must not be null.");
+ }
+ this.client = client;
+ this.jdbcUrl = jdbcUrl;
+ this.userName = properties == null ? null : properties.getProperty("user");
+ this.catalog = database;
+ this.schema = null;
+ }
+
+ @Override
+ public Statement createStatement() throws SQLException {
+ synchronized (this) {
+ this.ensureOpen();
+ final WayangStatement statement = new WayangStatement(this, this.client);
+ this.statements.add(statement);
+ return statement;
+ }
+ }
+
+ @Override
+ public void close() throws SQLException {
+ final Set statementsToClose;
+ synchronized (this) {
+ if (this.closed || this.closing) {
+ return;
+ }
+ this.closing = true;
+ statementsToClose = new LinkedHashSet<>(this.statements);
+ }
+
+ SQLException failure = null;
+ try {
+ for (WayangStatement statement : statementsToClose) {
+ try {
+ statement.close();
+ } catch (SQLException e) {
+ failure = this.accumulate(failure, e);
+ }
+ }
+ try {
+ this.client.close();
+ } catch (SQLException e) {
+ failure = this.accumulate(failure, e);
+ }
+ } finally {
+ synchronized (this) {
+ this.closed = true;
+ this.closing = false;
+ this.statements.clear();
+ }
+ }
+ if (failure != null) {
+ throw failure;
+ }
+ }
+
+ @Override
+ public boolean isClosed() {
+ return this.closed || this.closing || this.client.isClosed();
+ }
+
+ @Override
+ public boolean getAutoCommit() throws SQLException {
+ this.ensureOpen();
+ return this.autoCommit;
+ }
+
+ @Override
+ public void setAutoCommit(final boolean autoCommit) throws SQLException {
+ this.ensureOpen();
+ if (!autoCommit) {
+ throw this.unsupported("Wayang JDBC does not support transactions.");
+ }
+ this.autoCommit = true;
+ }
+
+ @Override
+ public boolean isReadOnly() throws SQLException {
+ this.ensureOpen();
+ return this.readOnly;
+ }
+
+ @Override
+ public void setReadOnly(final boolean readOnly) throws SQLException {
+ this.ensureOpen();
+ if (!readOnly) {
+ throw this.unsupported("Wayang JDBC connections are read-only.");
+ }
+ this.readOnly = true;
+ }
+
+ @Override
+ public String getCatalog() throws SQLException {
+ this.ensureOpen();
+ return this.catalog;
+ }
+
+ @Override
+ public void setCatalog(final String catalog) throws SQLException {
+ this.ensureOpen();
+ if (!Objects.equals(this.catalog, catalog)) {
+ throw this.unsupported("Changing the Wayang JDBC catalog is not supported.");
+ }
+ }
+
+ @Override
+ public String getSchema() throws SQLException {
+ this.ensureOpen();
+ return this.schema;
+ }
+
+ @Override
+ public void setSchema(final String schema) throws SQLException {
+ this.ensureOpen();
+ if (!Objects.equals(this.schema, schema)) {
+ throw this.unsupported("Changing the Wayang JDBC schema is not supported.");
+ }
+ }
+
+ @Override
+ public boolean isValid(final int timeout) throws SQLException {
+ if (timeout < 0) {
+ throw new SQLException("Timeout must not be negative.", "HY092");
+ }
+ if (this.isClosed()) {
+ return false;
+ }
+ try {
+ return this.client.ping(timeout);
+ } catch (SQLException e) {
+ return false;
+ }
+ }
+
+ @Override
+ public DatabaseMetaData getMetaData() throws SQLException {
+ this.ensureOpen();
+ return WayangDatabaseMetaData.create(this);
+ }
+
+ @Override
+ public void commit() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Transactions are not supported.");
+ }
+
+ @Override
+ public void rollback() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Transactions are not supported.");
+ }
+
+ @Override
+ public void rollback(final Savepoint savepoint) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Savepoints are not supported.");
+ }
+
+ @Override
+ public Savepoint setSavepoint() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Savepoints are not supported.");
+ }
+
+ @Override
+ public Savepoint setSavepoint(final String name) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Savepoints are not supported.");
+ }
+
+ @Override
+ public void releaseSavepoint(final Savepoint savepoint) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Savepoints are not supported.");
+ }
+
+ @Override
+ public PreparedStatement prepareStatement(final String sql) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Prepared statements are not supported yet.");
+ }
+
+ @Override
+ public CallableStatement prepareCall(final String sql) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Callable statements are not supported.");
+ }
+
+ @Override
+ public String nativeSQL(final String sql) throws SQLException {
+ this.ensureOpen();
+ if (sql == null) {
+ throw new SQLException("SQL must not be null.");
+ }
+ return sql;
+ }
+
+ @Override
+ public Statement createStatement(final int type, final int concurrency) throws SQLException {
+ this.ensureOpen();
+ this.requireSupportedResultSetOptions(type, concurrency, ResultSet.CLOSE_CURSORS_AT_COMMIT);
+ return this.createStatement();
+ }
+
+ @Override
+ public Statement createStatement(final int type, final int concurrency, final int holdability) throws SQLException {
+ this.ensureOpen();
+ this.requireSupportedResultSetOptions(type, concurrency, holdability);
+ return this.createStatement();
+ }
+
+ @Override
+ public PreparedStatement prepareStatement(final String sql, final int type, final int concurrency) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Prepared statements are not supported yet.");
+ }
+
+ @Override
+ public PreparedStatement prepareStatement(final String sql, final int type, final int concurrency, final int holdability) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Prepared statements are not supported yet.");
+ }
+
+ @Override
+ public PreparedStatement prepareStatement(final String sql, final int autoGeneratedKeys) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Generated keys are not supported.");
+ }
+
+ @Override
+ public PreparedStatement prepareStatement(final String sql, final int[] columnIndexes) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Generated keys are not supported.");
+ }
+
+ @Override
+ public PreparedStatement prepareStatement(final String sql, final String[] columnNames) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Generated keys are not supported.");
+ }
+
+ @Override
+ public CallableStatement prepareCall(final String sql, final int type, final int concurrency) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Callable statements are not supported.");
+ }
+
+ @Override
+ public CallableStatement prepareCall(final String sql, final int type, final int concurrency, final int holdability) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Callable statements are not supported.");
+ }
+
+ @Override
+ public int getTransactionIsolation() throws SQLException {
+ this.ensureOpen();
+ return Connection.TRANSACTION_NONE;
+ }
+
+ @Override
+ public void setTransactionIsolation(final int level) throws SQLException {
+ this.ensureOpen();
+ if (level != Connection.TRANSACTION_NONE) {
+ throw this.unsupported("Transactions are not supported.");
+ }
+ }
+
+ @Override
+ public SQLWarning getWarnings() throws SQLException {
+ this.ensureOpen();
+ return null;
+ }
+
+ @Override
+ public void clearWarnings() throws SQLException {
+ this.ensureOpen();
+ }
+
+ @Override
+ public Map> getTypeMap() throws SQLException {
+ this.ensureOpen();
+ return Collections.emptyMap();
+ }
+
+ @Override
+ public void setTypeMap(final Map> map) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Custom type maps are not supported.");
+ }
+
+ @Override
+ public int getHoldability() throws SQLException {
+ this.ensureOpen();
+ return ResultSet.CLOSE_CURSORS_AT_COMMIT;
+ }
+
+ @Override
+ public void setHoldability(final int holdability) throws SQLException {
+ this.ensureOpen();
+ if (holdability != ResultSet.CLOSE_CURSORS_AT_COMMIT) {
+ throw this.unsupported("Wayang JDBC supports only close-cursors-at-commit holdability.");
+ }
+ }
+
+ @Override
+ public Clob createClob() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("CLOB values are not supported.");
+ }
+
+ @Override
+ public Blob createBlob() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("BLOB values are not supported.");
+ }
+
+ @Override
+ public NClob createNClob() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("NCLOB values are not supported.");
+ }
+
+ @Override
+ public SQLXML createSQLXML() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("SQLXML values are not supported.");
+ }
+
+ @Override
+ public Array createArrayOf(final String typeName, final Object[] elements) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("SQL ARRAY values are not supported.");
+ }
+
+ @Override
+ public Struct createStruct(final String typeName, final Object[] attributes) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("SQL STRUCT values are not supported.");
+ }
+
+ @Override
+ public void setClientInfo(final String name, final String value) throws SQLClientInfoException {
+ this.ensureOpenForClientInfo(name);
+ if (name == null || name.isBlank()) {
+ throw this.clientInfoException(
+ "Client info property name must not be blank.",
+ name,
+ ClientInfoStatus.REASON_UNKNOWN_PROPERTY
+ );
+ }
+ if (value == null) {
+ this.clientInfo.remove(name);
+ } else {
+ this.clientInfo.setProperty(name, value);
+ }
+ }
+
+ @Override
+ public String getClientInfo(final String name) throws SQLException {
+ this.ensureOpen();
+ if (name == null) {
+ throw new SQLException("Client info property name must not be null.");
+ }
+ return this.clientInfo.getProperty(name);
+ }
+
+ @Override
+ public Properties getClientInfo() throws SQLException {
+ this.ensureOpen();
+ final Properties copy = new Properties();
+ copy.putAll(this.clientInfo);
+ return copy;
+ }
+
+ @Override
+ public void setClientInfo(final Properties properties) throws SQLClientInfoException {
+ this.ensureOpenForClientInfo(null);
+ if (properties == null) {
+ throw this.clientInfoException(
+ "Client info properties must not be null.",
+ null,
+ ClientInfoStatus.REASON_VALUE_INVALID
+ );
+ }
+ for (String name : properties.stringPropertyNames()) {
+ this.setClientInfo(name, properties.getProperty(name));
+ }
+ }
+
+ @Override
+ public void abort(final Executor executor) throws SQLException {
+ if (executor == null) {
+ throw new SQLException("Executor must not be null.");
+ }
+ executor.execute(() -> {
+ try {
+ close();
+ } catch (SQLException ignored) {
+ }
+ });
+ }
+
+ @Override
+ public void setNetworkTimeout(final Executor executor, final int milliseconds) throws SQLException {
+ this.ensureOpen();
+ if (executor == null) {
+ throw new SQLException("Executor must not be null.");
+ }
+ if (milliseconds < 0) {
+ throw new SQLException("Network timeout must not be negative.");
+ }
+ if (milliseconds > 0) {
+ throw this.unsupported("Network timeout is not supported.");
+ }
+ }
+
+ @Override
+ public int getNetworkTimeout() throws SQLException {
+ this.ensureOpen();
+ return 0;
+ }
+
+ @Override
+ public T unwrap(final Class iface) throws SQLException {
+ this.ensureOpen();
+ if (iface == null) {
+ throw new SQLException("Wrapper interface must not be null.");
+ }
+ if (iface.isInstance(this)) {
+ return iface.cast(this);
+ }
+ throw new SQLException("Connection does not wrap " + iface.getName());
+ }
+
+ @Override
+ public boolean isWrapperFor(final Class iface) throws SQLException {
+ this.ensureOpen();
+ if (iface == null) {
+ throw new SQLException("Wrapper interface must not be null.");
+ }
+ return iface.isInstance(this);
+ }
+
+ String getJdbcUrl() {
+ return this.jdbcUrl;
+ }
+
+ String getUserName() {
+ return this.userName;
+ }
+
+ WayangJdbcClient getClient() {
+ return this.client;
+ }
+
+ synchronized void statementClosed(final WayangStatement statement) {
+ this.statements.remove(statement);
+ }
+
+ private void ensureOpen() throws SQLException {
+ if (this.isClosed()) {
+ throw new SQLException("Wayang JDBC connection is closed.", "08003");
+ }
+ }
+
+ private void ensureOpenForClientInfo(final String propertyName) throws SQLClientInfoException {
+ if (this.isClosed()) {
+ throw this.clientInfoException(
+ "Wayang JDBC connection is closed.",
+ propertyName,
+ ClientInfoStatus.REASON_UNKNOWN
+ );
+ }
+ }
+
+ private SQLClientInfoException clientInfoException(
+ final String message,
+ final String propertyName,
+ final ClientInfoStatus status
+ ) {
+ final Map failedProperties = new LinkedHashMap<>();
+ if (propertyName != null) {
+ failedProperties.put(propertyName, status);
+ }
+ return new SQLClientInfoException(message, "08003", failedProperties);
+ }
+
+ private SQLException accumulate(
+ final SQLException existing,
+ final SQLException additional
+ ) {
+ if (existing == null) {
+ return additional;
+ }
+ existing.addSuppressed(additional);
+ return existing;
+ }
+
+ private void requireSupportedResultSetOptions(
+ final int type,
+ final int concurrency,
+ final int holdability
+ ) throws SQLException {
+ if (type != ResultSet.TYPE_FORWARD_ONLY) {
+ throw this.unsupported("Wayang JDBC supports only forward-only result sets.");
+ }
+ if (concurrency != ResultSet.CONCUR_READ_ONLY) {
+ throw this.unsupported("Wayang JDBC supports only read-only result sets.");
+ }
+ if (holdability != ResultSet.CLOSE_CURSORS_AT_COMMIT) {
+ throw this.unsupported("Wayang JDBC supports only close-cursors-at-commit holdability.");
+ }
+ }
+
+ private SQLFeatureNotSupportedException unsupported(final String message) {
+ return new SQLFeatureNotSupportedException(message, "0A000");
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangDatabaseMetaData.java b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangDatabaseMetaData.java
new file mode 100644
index 000000000..10b985c25
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangDatabaseMetaData.java
@@ -0,0 +1,944 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+import org.apache.wayang.jdbc.protocol.message.MetadataResultResponse;
+
+import java.lang.reflect.InvocationHandler;
+import java.lang.reflect.Method;
+import java.lang.reflect.Proxy;
+import java.sql.Connection;
+import java.sql.DatabaseMetaData;
+import java.sql.ResultSet;
+import java.sql.ResultSetMetaData;
+import java.sql.RowIdLifetime;
+import java.sql.SQLException;
+import java.sql.SQLFeatureNotSupportedException;
+import java.sql.Types;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.List;
+import javax.sql.rowset.CachedRowSet;
+import javax.sql.rowset.RowSetMetaDataImpl;
+import javax.sql.rowset.RowSetProvider;
+
+final class WayangDatabaseMetaData implements InvocationHandler {
+
+ private static final String DRIVER_NAME = "Apache Wayang JDBC Driver";
+
+ private static final String PRODUCT_NAME = "Apache Wayang";
+
+ private static final String FALLBACK_VERSION = "1.1.2-SNAPSHOT";
+
+ private final WayangConnection connection;
+
+ private WayangDatabaseMetaData(final WayangConnection connection) {
+ if (connection == null) {
+ throw new IllegalArgumentException("Connection must not be null.");
+ }
+ this.connection = connection;
+ }
+
+ static DatabaseMetaData create(final WayangConnection connection) {
+ return (DatabaseMetaData) Proxy.newProxyInstance(
+ DatabaseMetaData.class.getClassLoader(),
+ new Class[]{DatabaseMetaData.class},
+ new WayangDatabaseMetaData(connection)
+ );
+ }
+
+ @Override
+ public Object invoke(
+ final Object proxy,
+ final Method method,
+ final Object[] args
+ ) throws Throwable {
+ if (method.getDeclaringClass() == Object.class) {
+ return this.invokeObjectMethod(proxy, method, args);
+ }
+
+ this.ensureOpen();
+
+ final String methodName = method.getName();
+ switch (methodName) {
+ case "getConnection":
+ return this.connection;
+ case "getURL":
+ return this.emptyIfNull(this.connection.getJdbcUrl());
+ case "getUserName":
+ return this.emptyIfNull(this.connection.getUserName());
+ case "getDriverName":
+ return DRIVER_NAME;
+ case "getDriverVersion":
+ return this.version();
+ case "getDriverMajorVersion":
+ return 1;
+ case "getDriverMinorVersion":
+ return 0;
+ case "getDatabaseProductName":
+ return PRODUCT_NAME;
+ case "getDatabaseProductVersion":
+ return this.databaseVersion();
+ case "getDatabaseMajorVersion":
+ return this.databaseVersionPart(0, 1);
+ case "getDatabaseMinorVersion":
+ return this.databaseVersionPart(1, 1);
+ case "getJDBCMajorVersion":
+ return 4;
+ case "getJDBCMinorVersion":
+ return 2;
+ case "isReadOnly":
+ return true;
+ case "supportsMixedCaseIdentifiers":
+ case "storesMixedCaseIdentifiers":
+ case "supportsMixedCaseQuotedIdentifiers":
+ case "storesMixedCaseQuotedIdentifiers":
+ return true;
+ case "storesUpperCaseIdentifiers":
+ case "storesLowerCaseIdentifiers":
+ case "storesUpperCaseQuotedIdentifiers":
+ case "storesLowerCaseQuotedIdentifiers":
+ return false;
+ case "allProceduresAreCallable":
+ return false;
+ case "allTablesAreSelectable":
+ return true;
+ case "getSQLStateType":
+ return DatabaseMetaData.sqlStateSQL;
+ case "getResultSetHoldability":
+ return ResultSet.CLOSE_CURSORS_AT_COMMIT;
+ case "supportsSchemasInDataManipulation":
+ return true;
+ case "supportsSchemasInProcedureCalls":
+ case "supportsSchemasInTableDefinitions":
+ case "supportsSchemasInIndexDefinitions":
+ case "supportsSchemasInPrivilegeDefinitions":
+ case "supportsCatalogsInDataManipulation":
+ case "supportsCatalogsInProcedureCalls":
+ case "supportsCatalogsInTableDefinitions":
+ case "supportsCatalogsInIndexDefinitions":
+ case "supportsCatalogsInPrivilegeDefinitions":
+ return false;
+ case "supportsResultSetType":
+ return (Integer) args[0] == ResultSet.TYPE_FORWARD_ONLY;
+ case "supportsResultSetConcurrency":
+ return (Integer) args[0] == ResultSet.TYPE_FORWARD_ONLY
+ && (Integer) args[1] == ResultSet.CONCUR_READ_ONLY;
+ case "supportsResultSetHoldability":
+ return (Integer) args[0] == ResultSet.CLOSE_CURSORS_AT_COMMIT;
+ case "supportsTransactions":
+ case "supportsMultipleTransactions":
+ case "supportsSavepoints":
+ case "supportsBatchUpdates":
+ case "supportsStoredProcedures":
+ case "supportsNamedParameters":
+ case "supportsGetGeneratedKeys":
+ case "supportsMultipleOpenResults":
+ case "supportsMultipleResultSets":
+ case "supportsStatementPooling":
+ case "supportsDataDefinitionAndDataManipulationTransactions":
+ case "supportsDataManipulationTransactionsOnly":
+ case "dataDefinitionCausesTransactionCommit":
+ case "dataDefinitionIgnoredInTransactions":
+ case "supportsOpenCursorsAcrossCommit":
+ case "supportsOpenCursorsAcrossRollback":
+ case "supportsOpenStatementsAcrossCommit":
+ case "supportsOpenStatementsAcrossRollback":
+ case "supportsStoredFunctionsUsingCallSyntax":
+ case "autoCommitFailureClosesAllResultSets":
+ case "generatedKeyAlwaysReturned":
+ case "supportsRefCursors":
+ case "supportsSharding":
+ return false;
+ case "getDefaultTransactionIsolation":
+ return Connection.TRANSACTION_NONE;
+ case "getIdentifierQuoteString":
+ return "\"";
+ case "getSearchStringEscape":
+ return "\\";
+ case "getExtraNameCharacters":
+ case "getSQLKeywords":
+ case "getNumericFunctions":
+ case "getStringFunctions":
+ case "getSystemFunctions":
+ case "getTimeDateFunctions":
+ return "";
+ case "getCatalogTerm":
+ return "catalog";
+ case "getSchemaTerm":
+ return "schema";
+ case "getProcedureTerm":
+ return "procedure";
+ case "getCatalogSeparator":
+ return ".";
+ case "isCatalogAtStart":
+ return true;
+ case "nullsAreSortedHigh":
+ return true;
+ case "nullsAreSortedLow":
+ case "nullsAreSortedAtStart":
+ case "nullsAreSortedAtEnd":
+ return false;
+ case "getCatalogs":
+ return this.catalogs();
+ case "getSchemas":
+ return this.schemas(args);
+ case "getTableTypes":
+ return this.tableTypes();
+ case "getTables":
+ return this.tables(args);
+ case "getColumns":
+ return this.columns(args);
+ case "getProcedures":
+ return this.procedures();
+ case "getProcedureColumns":
+ return this.procedureColumns();
+ case "getTypeInfo":
+ return this.typeInfo();
+ case "getColumnPrivileges":
+ return this.columnPrivileges();
+ case "getTablePrivileges":
+ return this.tablePrivileges();
+ case "getBestRowIdentifier":
+ return this.bestRowIdentifier();
+ case "getVersionColumns":
+ return this.versionColumns();
+ case "getImportedKeys":
+ case "getExportedKeys":
+ case "getCrossReference":
+ return this.foreignKeys();
+ case "getPrimaryKeys":
+ return this.primaryKeys();
+ case "getIndexInfo":
+ return this.indexInfo();
+ case "getUDTs":
+ return this.udts();
+ case "getSuperTypes":
+ return this.superTypes();
+ case "getSuperTables":
+ return this.superTables();
+ case "getAttributes":
+ return this.attributes();
+ case "getClientInfoProperties":
+ return this.clientInfoProperties();
+ case "getFunctions":
+ return this.functions();
+ case "getFunctionColumns":
+ return this.functionColumns();
+ case "getPseudoColumns":
+ return this.pseudoColumns();
+ case "getRowIdLifetime":
+ return RowIdLifetime.ROWID_UNSUPPORTED;
+ case "unwrap":
+ return this.unwrap(proxy, (Class) args[0]);
+ case "isWrapperFor":
+ return this.isWrapperFor(proxy, (Class) args[0]);
+ default:
+ return this.defaultValue(method);
+ }
+ }
+
+ private Object invokeObjectMethod(
+ final Object proxy,
+ final Method method,
+ final Object[] args
+ ) {
+ switch (method.getName()) {
+ case "toString":
+ return "WayangDatabaseMetaData";
+ case "hashCode":
+ return System.identityHashCode(proxy);
+ case "equals":
+ return proxy == args[0];
+ default:
+ throw new IllegalStateException("Unexpected Object method: " + method.getName());
+ }
+ }
+
+ private ResultSet catalogs() throws SQLException {
+ final String catalog = this.connection.getCatalog();
+ final List> rows = new ArrayList<>();
+ if (catalog != null) {
+ rows.add(Collections.singletonList(catalog));
+ }
+ return this.resultSet(
+ Arrays.asList(column("TABLE_CAT", Types.VARCHAR)),
+ rows
+ );
+ }
+
+ private ResultSet schemas(final Object[] args) throws SQLException {
+ final String catalog = this.stringArg(args, 0);
+ final String schemaPattern = this.stringArg(args, 1);
+ return this.resultSet(this.connection.getClient().getSchemas(catalog, schemaPattern));
+ }
+
+ private ResultSet tableTypes() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(column("TABLE_TYPE", Types.VARCHAR)),
+ Arrays.asList(
+ Collections.singletonList("TABLE"),
+ Collections.singletonList("VIEW")
+ )
+ );
+ }
+
+ private ResultSet tables(final Object[] args) throws SQLException {
+ return this.resultSet(this.connection.getClient().getTables(
+ this.stringArg(args, 0),
+ this.stringArg(args, 1),
+ this.stringArg(args, 2),
+ this.stringArrayArg(args, 3)
+ ));
+ }
+
+ private ResultSet columns(final Object[] args) throws SQLException {
+ return this.resultSet(this.connection.getClient().getColumns(
+ this.stringArg(args, 0),
+ this.stringArg(args, 1),
+ this.stringArg(args, 2),
+ this.stringArg(args, 3)
+ ));
+ }
+
+ private ResultSet procedures() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("PROCEDURE_CAT", Types.VARCHAR),
+ column("PROCEDURE_SCHEM", Types.VARCHAR),
+ column("PROCEDURE_NAME", Types.VARCHAR),
+ column("RESERVED1", Types.VARCHAR),
+ column("RESERVED2", Types.VARCHAR),
+ column("RESERVED3", Types.VARCHAR),
+ column("REMARKS", Types.VARCHAR),
+ column("PROCEDURE_TYPE", Types.SMALLINT),
+ column("SPECIFIC_NAME", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet procedureColumns() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("PROCEDURE_CAT", Types.VARCHAR),
+ column("PROCEDURE_SCHEM", Types.VARCHAR),
+ column("PROCEDURE_NAME", Types.VARCHAR),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("COLUMN_TYPE", Types.SMALLINT),
+ column("DATA_TYPE", Types.INTEGER),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("PRECISION", Types.INTEGER),
+ column("LENGTH", Types.INTEGER),
+ column("SCALE", Types.SMALLINT),
+ column("RADIX", Types.SMALLINT),
+ column("NULLABLE", Types.SMALLINT),
+ column("REMARKS", Types.VARCHAR),
+ column("COLUMN_DEF", Types.VARCHAR),
+ column("SQL_DATA_TYPE", Types.INTEGER),
+ column("SQL_DATETIME_SUB", Types.INTEGER),
+ column("CHAR_OCTET_LENGTH", Types.INTEGER),
+ column("ORDINAL_POSITION", Types.INTEGER),
+ column("IS_NULLABLE", Types.VARCHAR),
+ column("SPECIFIC_NAME", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet typeInfo() throws SQLException {
+ final List columns = Arrays.asList(
+ column("TYPE_NAME", Types.VARCHAR),
+ column("DATA_TYPE", Types.INTEGER),
+ column("PRECISION", Types.INTEGER),
+ column("LITERAL_PREFIX", Types.VARCHAR),
+ column("LITERAL_SUFFIX", Types.VARCHAR),
+ column("CREATE_PARAMS", Types.VARCHAR),
+ column("NULLABLE", Types.SMALLINT),
+ column("CASE_SENSITIVE", Types.BOOLEAN),
+ column("SEARCHABLE", Types.SMALLINT),
+ column("UNSIGNED_ATTRIBUTE", Types.BOOLEAN),
+ column("FIXED_PREC_SCALE", Types.BOOLEAN),
+ column("AUTO_INCREMENT", Types.BOOLEAN),
+ column("LOCAL_TYPE_NAME", Types.VARCHAR),
+ column("MINIMUM_SCALE", Types.SMALLINT),
+ column("MAXIMUM_SCALE", Types.SMALLINT),
+ column("SQL_DATA_TYPE", Types.INTEGER),
+ column("SQL_DATETIME_SUB", Types.INTEGER),
+ column("NUM_PREC_RADIX", Types.INTEGER)
+ );
+ final List> rows = new ArrayList<>();
+ rows.add(this.typeInfoRow("BOOLEAN", Types.BOOLEAN, 1, null, null, null, false, 0, 0, null));
+ rows.add(this.typeInfoRow("TINYINT", Types.TINYINT, 3, null, null, null, false, 0, 0, 10));
+ rows.add(this.typeInfoRow("SMALLINT", Types.SMALLINT, 5, null, null, null, false, 0, 0, 10));
+ rows.add(this.typeInfoRow("INTEGER", Types.INTEGER, 10, null, null, null, false, 0, 0, 10));
+ rows.add(this.typeInfoRow("BIGINT", Types.BIGINT, 19, null, null, null, false, 0, 0, 10));
+ rows.add(this.typeInfoRow(
+ "NUMERIC", Types.NUMERIC, 38, null, null, "precision,scale", false, 0, 38, 10
+ ));
+ rows.add(this.typeInfoRow(
+ "DECIMAL", Types.DECIMAL, 38, null, null, "precision,scale", false, 0, 38, 10
+ ));
+ rows.add(this.typeInfoRow("REAL", Types.REAL, 7, null, null, null, false, 0, 0, 2));
+ rows.add(this.typeInfoRow("FLOAT", Types.FLOAT, 15, null, null, null, false, 0, 0, 2));
+ rows.add(this.typeInfoRow("DOUBLE", Types.DOUBLE, 15, null, null, null, false, 0, 0, 2));
+ rows.add(this.typeInfoRow("CHAR", Types.CHAR, 65536, "'", "'", "length", true, 0, 0, null));
+ rows.add(this.typeInfoRow("VARCHAR", Types.VARCHAR, 65536, "'", "'", "length", true, 0, 0, null));
+ rows.add(this.typeInfoRow("BINARY", Types.BINARY, 65536, "X'", "'", "length", false, 0, 0, null));
+ rows.add(this.typeInfoRow(
+ "VARBINARY", Types.VARBINARY, 65536, "X'", "'", "length", false, 0, 0, null
+ ));
+ rows.add(this.typeInfoRow("DATE", Types.DATE, 10, "DATE '", "'", null, false, 0, 0, null));
+ rows.add(this.typeInfoRow("TIME", Types.TIME, 18, "TIME '", "'", "precision", false, 0, 9, null));
+ rows.add(this.typeInfoRow(
+ "TIME WITH TIME ZONE",
+ Types.TIME_WITH_TIMEZONE,
+ 24,
+ "TIME '",
+ "'",
+ "precision",
+ false,
+ 0,
+ 9,
+ null
+ ));
+ rows.add(this.typeInfoRow(
+ "TIMESTAMP", Types.TIMESTAMP, 29, "TIMESTAMP '", "'", "precision", false, 0, 9, null
+ ));
+ rows.add(this.typeInfoRow(
+ "TIMESTAMP WITH TIME ZONE",
+ Types.TIMESTAMP_WITH_TIMEZONE,
+ 35,
+ "TIMESTAMP '",
+ "'",
+ "precision",
+ false,
+ 0,
+ 9,
+ null
+ ));
+ rows.sort(Comparator.comparingInt(row -> (Integer) row.get(1)));
+ return this.resultSet(columns, rows);
+ }
+
+ private List typeInfoRow(
+ final String name,
+ final int jdbcType,
+ final int precision,
+ final String literalPrefix,
+ final String literalSuffix,
+ final String createParameters,
+ final boolean caseSensitive,
+ final int minimumScale,
+ final int maximumScale,
+ final Integer numericRadix
+ ) {
+ return Arrays.asList(
+ name,
+ jdbcType,
+ precision,
+ literalPrefix,
+ literalSuffix,
+ createParameters,
+ (short) DatabaseMetaData.typeNullable,
+ caseSensitive,
+ (short) DatabaseMetaData.typeSearchable,
+ null,
+ false,
+ false,
+ null,
+ (short) minimumScale,
+ (short) maximumScale,
+ null,
+ null,
+ numericRadix
+ );
+ }
+
+ private ResultSet columnPrivileges() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("GRANTOR", Types.VARCHAR),
+ column("GRANTEE", Types.VARCHAR),
+ column("PRIVILEGE", Types.VARCHAR),
+ column("IS_GRANTABLE", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet tablePrivileges() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("GRANTOR", Types.VARCHAR),
+ column("GRANTEE", Types.VARCHAR),
+ column("PRIVILEGE", Types.VARCHAR),
+ column("IS_GRANTABLE", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet bestRowIdentifier() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("SCOPE", Types.SMALLINT),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("DATA_TYPE", Types.INTEGER),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("COLUMN_SIZE", Types.INTEGER),
+ column("BUFFER_LENGTH", Types.INTEGER),
+ column("DECIMAL_DIGITS", Types.SMALLINT),
+ column("PSEUDO_COLUMN", Types.SMALLINT)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet versionColumns() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("SCOPE", Types.SMALLINT),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("DATA_TYPE", Types.INTEGER),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("COLUMN_SIZE", Types.INTEGER),
+ column("BUFFER_LENGTH", Types.INTEGER),
+ column("DECIMAL_DIGITS", Types.SMALLINT),
+ column("PSEUDO_COLUMN", Types.SMALLINT)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet primaryKeys() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("KEY_SEQ", Types.SMALLINT),
+ column("PK_NAME", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet foreignKeys() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("PKTABLE_CAT", Types.VARCHAR),
+ column("PKTABLE_SCHEM", Types.VARCHAR),
+ column("PKTABLE_NAME", Types.VARCHAR),
+ column("PKCOLUMN_NAME", Types.VARCHAR),
+ column("FKTABLE_CAT", Types.VARCHAR),
+ column("FKTABLE_SCHEM", Types.VARCHAR),
+ column("FKTABLE_NAME", Types.VARCHAR),
+ column("FKCOLUMN_NAME", Types.VARCHAR),
+ column("KEY_SEQ", Types.SMALLINT),
+ column("UPDATE_RULE", Types.SMALLINT),
+ column("DELETE_RULE", Types.SMALLINT),
+ column("FK_NAME", Types.VARCHAR),
+ column("PK_NAME", Types.VARCHAR),
+ column("DEFERRABILITY", Types.SMALLINT)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet indexInfo() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("NON_UNIQUE", Types.BOOLEAN),
+ column("INDEX_QUALIFIER", Types.VARCHAR),
+ column("INDEX_NAME", Types.VARCHAR),
+ column("TYPE", Types.SMALLINT),
+ column("ORDINAL_POSITION", Types.SMALLINT),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("ASC_OR_DESC", Types.VARCHAR),
+ column("CARDINALITY", Types.BIGINT),
+ column("PAGES", Types.BIGINT),
+ column("FILTER_CONDITION", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet udts() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TYPE_CAT", Types.VARCHAR),
+ column("TYPE_SCHEM", Types.VARCHAR),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("CLASS_NAME", Types.VARCHAR),
+ column("DATA_TYPE", Types.INTEGER),
+ column("REMARKS", Types.VARCHAR),
+ column("BASE_TYPE", Types.SMALLINT)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet superTypes() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TYPE_CAT", Types.VARCHAR),
+ column("TYPE_SCHEM", Types.VARCHAR),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("SUPERTYPE_CAT", Types.VARCHAR),
+ column("SUPERTYPE_SCHEM", Types.VARCHAR),
+ column("SUPERTYPE_NAME", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet superTables() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("SUPERTABLE_NAME", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet attributes() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TYPE_CAT", Types.VARCHAR),
+ column("TYPE_SCHEM", Types.VARCHAR),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("ATTR_NAME", Types.VARCHAR),
+ column("DATA_TYPE", Types.INTEGER),
+ column("ATTR_TYPE_NAME", Types.VARCHAR),
+ column("ATTR_SIZE", Types.INTEGER),
+ column("DECIMAL_DIGITS", Types.INTEGER),
+ column("NUM_PREC_RADIX", Types.INTEGER),
+ column("NULLABLE", Types.INTEGER),
+ column("REMARKS", Types.VARCHAR),
+ column("ATTR_DEF", Types.VARCHAR),
+ column("SQL_DATA_TYPE", Types.INTEGER),
+ column("SQL_DATETIME_SUB", Types.INTEGER),
+ column("CHAR_OCTET_LENGTH", Types.INTEGER),
+ column("ORDINAL_POSITION", Types.INTEGER),
+ column("IS_NULLABLE", Types.VARCHAR),
+ column("SCOPE_CATALOG", Types.VARCHAR),
+ column("SCOPE_SCHEMA", Types.VARCHAR),
+ column("SCOPE_TABLE", Types.VARCHAR),
+ column("SOURCE_DATA_TYPE", Types.SMALLINT)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet clientInfoProperties() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("NAME", Types.VARCHAR),
+ column("MAX_LEN", Types.INTEGER),
+ column("DEFAULT_VALUE", Types.VARCHAR),
+ column("DESCRIPTION", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet functions() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("FUNCTION_CAT", Types.VARCHAR),
+ column("FUNCTION_SCHEM", Types.VARCHAR),
+ column("FUNCTION_NAME", Types.VARCHAR),
+ column("REMARKS", Types.VARCHAR),
+ column("FUNCTION_TYPE", Types.SMALLINT),
+ column("SPECIFIC_NAME", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet functionColumns() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("FUNCTION_CAT", Types.VARCHAR),
+ column("FUNCTION_SCHEM", Types.VARCHAR),
+ column("FUNCTION_NAME", Types.VARCHAR),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("COLUMN_TYPE", Types.SMALLINT),
+ column("DATA_TYPE", Types.INTEGER),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("PRECISION", Types.INTEGER),
+ column("LENGTH", Types.INTEGER),
+ column("SCALE", Types.SMALLINT),
+ column("RADIX", Types.SMALLINT),
+ column("NULLABLE", Types.SMALLINT),
+ column("REMARKS", Types.VARCHAR),
+ column("CHAR_OCTET_LENGTH", Types.INTEGER),
+ column("ORDINAL_POSITION", Types.INTEGER),
+ column("IS_NULLABLE", Types.VARCHAR),
+ column("SPECIFIC_NAME", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet pseudoColumns() throws SQLException {
+ return this.resultSet(
+ Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("DATA_TYPE", Types.INTEGER),
+ column("COLUMN_SIZE", Types.INTEGER),
+ column("DECIMAL_DIGITS", Types.INTEGER),
+ column("NUM_PREC_RADIX", Types.INTEGER),
+ column("COLUMN_USAGE", Types.VARCHAR),
+ column("REMARKS", Types.VARCHAR),
+ column("CHAR_OCTET_LENGTH", Types.INTEGER),
+ column("IS_NULLABLE", Types.VARCHAR)
+ ),
+ Collections.emptyList()
+ );
+ }
+
+ private ResultSet resultSet(
+ final List columns,
+ final List> rows
+ ) throws SQLException {
+ final CachedRowSet rowSet = RowSetProvider.newFactory().createCachedRowSet();
+ final RowSetMetaDataImpl metaData = new RowSetMetaDataImpl();
+ metaData.setColumnCount(columns.size());
+
+ for (int index = 0; index < columns.size(); index++) {
+ final MetadataColumn column = columns.get(index);
+ final int columnIndex = index + 1;
+ metaData.setColumnName(columnIndex, column.name);
+ metaData.setColumnLabel(columnIndex, column.name);
+ metaData.setColumnType(columnIndex, column.type);
+ metaData.setColumnTypeName(columnIndex, column.typeName);
+ metaData.setNullable(columnIndex, ResultSetMetaData.columnNullable);
+ metaData.setColumnDisplaySize(columnIndex, 128);
+ }
+
+ rowSet.setMetaData(metaData);
+ // CachedRowSet.insertRow() inserts before its current cursor position.
+ // Insert in reverse so clients observe the JDBC-required source order.
+ for (int rowIndex = rows.size() - 1; rowIndex >= 0; rowIndex--) {
+ final List row = rows.get(rowIndex);
+ if (row.size() != columns.size()) {
+ throw new SQLException("Metadata row has " + row.size()
+ + " values but " + columns.size() + " columns were declared.");
+ }
+ rowSet.moveToInsertRow();
+ for (int index = 0; index < row.size(); index++) {
+ rowSet.updateObject(index + 1, row.get(index));
+ }
+ rowSet.insertRow();
+ rowSet.moveToCurrentRow();
+ }
+ rowSet.beforeFirst();
+ rowSet.setType(ResultSet.TYPE_FORWARD_ONLY);
+ rowSet.setConcurrency(ResultSet.CONCUR_READ_ONLY);
+ rowSet.setReadOnly(true);
+ return rowSet;
+ }
+
+ private ResultSet resultSet(final MetadataResultResponse response) throws SQLException {
+ final List columns = new ArrayList<>();
+ if (response.getColumns() != null) {
+ for (ColumnInfo column : response.getColumns()) {
+ columns.add(new MetadataColumn(
+ column.getColumnName(),
+ column.getJdbcType(),
+ column.getTypeName()
+ ));
+ }
+ }
+ final List> rows = response.getRows() == null
+ ? Collections.emptyList()
+ : response.getRows();
+ return this.resultSet(columns, rows);
+ }
+
+ private String stringArg(final Object[] args, final int index) {
+ if (args == null || index >= args.length || args[index] == null) {
+ return null;
+ }
+ return String.valueOf(args[index]);
+ }
+
+ private String[] stringArrayArg(final Object[] args, final int index) {
+ if (args == null || index >= args.length || args[index] == null) {
+ return null;
+ }
+ return (String[]) args[index];
+ }
+
+ private Object defaultValue(final Method method) throws SQLFeatureNotSupportedException {
+ final Class returnType = method.getReturnType();
+ if (returnType == Boolean.TYPE) {
+ return false;
+ }
+ if (returnType == Integer.TYPE) {
+ return 0;
+ }
+ if (returnType == Long.TYPE) {
+ return 0L;
+ }
+ if (returnType == Short.TYPE) {
+ return (short) 0;
+ }
+ if (returnType == Byte.TYPE) {
+ return (byte) 0;
+ }
+ if (returnType == Float.TYPE) {
+ return 0F;
+ }
+ if (returnType == Double.TYPE) {
+ return 0D;
+ }
+ if (returnType == Void.TYPE) {
+ return null;
+ }
+ if (returnType == String.class) {
+ return "";
+ }
+ if (returnType == ResultSet.class) {
+ throw this.unsupported("DatabaseMetaData method is not supported yet: " + method.getName());
+ }
+ throw this.unsupported("DatabaseMetaData method is not supported yet: " + method.getName());
+ }
+
+ private Object unwrap(final Object proxy, final Class iface) throws SQLException {
+ if (iface == null) {
+ throw new SQLException("Interface must not be null.", "HY009");
+ }
+ if (iface.isInstance(proxy)) {
+ return iface.cast(proxy);
+ }
+ if (iface.isInstance(this)) {
+ return iface.cast(this);
+ }
+ throw new SQLException("DatabaseMetaData does not wrap " + iface.getName());
+ }
+
+ private boolean isWrapperFor(
+ final Object proxy,
+ final Class iface
+ ) throws SQLException {
+ if (iface == null) {
+ throw new SQLException("Interface must not be null.", "HY009");
+ }
+ return iface.isInstance(proxy) || iface.isInstance(this);
+ }
+
+ private void ensureOpen() throws SQLException {
+ if (this.connection.isClosed()) {
+ throw new SQLException("Wayang JDBC connection is closed.", "08003");
+ }
+ }
+
+ private String version() {
+ final Package driverPackage = WayangDriver.class.getPackage();
+ final String version = driverPackage == null ? null : driverPackage.getImplementationVersion();
+ return version == null || version.isBlank() ? FALLBACK_VERSION : version;
+ }
+
+ private String databaseVersion() {
+ final String serverVersion = this.connection.getClient().getServerVersion();
+ return serverVersion == null || serverVersion.isBlank() ? this.version() : serverVersion;
+ }
+
+ private int databaseVersionPart(final int index, final int fallback) {
+ final String[] parts = this.databaseVersion().split("[.-]");
+ if (index >= parts.length) {
+ return fallback;
+ }
+ try {
+ return Integer.parseInt(parts[index]);
+ } catch (NumberFormatException ignored) {
+ return fallback;
+ }
+ }
+
+ private String emptyIfNull(final String value) {
+ return value == null ? "" : value;
+ }
+
+ private SQLFeatureNotSupportedException unsupported(final String message) {
+ return new SQLFeatureNotSupportedException(message, "0A000");
+ }
+
+ private static MetadataColumn column(final String name, final int type) {
+ return new MetadataColumn(name, type);
+ }
+
+ private static final class MetadataColumn {
+
+ private final String name;
+
+ private final int type;
+
+ private final String typeName;
+
+ private MetadataColumn(final String name, final int type) {
+ this(name, type, jdbcTypeName(type));
+ }
+
+ private MetadataColumn(final String name, final int type, final String typeName) {
+ this.name = name == null ? "" : name;
+ this.type = type;
+ this.typeName = typeName == null || typeName.isBlank() ? jdbcTypeName(type) : typeName;
+ }
+ }
+
+ private static String jdbcTypeName(final int type) {
+ switch (type) {
+ case Types.BIGINT:
+ return "BIGINT";
+ case Types.BOOLEAN:
+ return "BOOLEAN";
+ case Types.INTEGER:
+ return "INTEGER";
+ case Types.SMALLINT:
+ return "SMALLINT";
+ case Types.VARCHAR:
+ return "VARCHAR";
+ default:
+ return "OTHER";
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangDriver.java b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangDriver.java
new file mode 100644
index 000000000..410caa163
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangDriver.java
@@ -0,0 +1,118 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import java.sql.Connection;
+import java.sql.Driver;
+import java.sql.DriverManager;
+import java.sql.DriverPropertyInfo;
+import java.sql.SQLException;
+import java.sql.SQLFeatureNotSupportedException;
+import java.util.Properties;
+import java.util.logging.Logger;
+
+public class WayangDriver implements Driver {
+
+ static {
+ try {
+ DriverManager.registerDriver(new WayangDriver());
+ } catch (SQLException e) {
+ throw new ExceptionInInitializerError(e);
+ }
+ }
+
+ @Override
+ public Connection connect(final String url, final Properties info) throws SQLException {
+ if (!this.acceptsURL(url)) {
+ return null;
+ }
+
+ final WayangJdbcUrl jdbcUrl = WayangJdbcUrl.parse(url, info);
+ final WayangJdbcClient client = new WayangJdbcClient(jdbcUrl);
+ return new WayangConnection(client, jdbcUrl.getDatabase(), url, jdbcUrl.getProperties());
+ }
+
+ @Override
+ public boolean acceptsURL(final String url) {
+ return WayangJdbcUrl.accepts(url);
+ }
+
+ @Override
+ public DriverPropertyInfo[] getPropertyInfo(
+ final String url,
+ final Properties info
+ ) throws SQLException {
+ final Properties properties = new Properties();
+ if (info != null) {
+ properties.putAll(info);
+ }
+ if (url != null && this.acceptsURL(url)) {
+ properties.putAll(WayangJdbcUrl.parse(url, info).getProperties());
+ }
+
+ return new DriverPropertyInfo[]{
+ this.property(
+ "user",
+ properties.getProperty("user"),
+ "Optional user name reported to the Wayang JDBC server."
+ ),
+ this.property(
+ "password",
+ properties.getProperty("password"),
+ "Optional password passed to the Wayang JDBC server."
+ ),
+ this.property(
+ "connectTimeout",
+ properties.getProperty("connectTimeout"),
+ "TCP connect and initial server handshake timeout in milliseconds; "
+ + "zero uses DriverManager.getLoginTimeout or the driver default."
+ )
+ };
+ }
+
+ @Override
+ public int getMajorVersion() {
+ return 1;
+ }
+
+ @Override
+ public int getMinorVersion() {
+ return 0;
+ }
+
+ @Override
+ public boolean jdbcCompliant() {
+ return false;
+ }
+
+ @Override
+ public Logger getParentLogger() throws SQLFeatureNotSupportedException {
+ throw new SQLFeatureNotSupportedException("Wayang JDBC does not use java.util.logging.");
+ }
+
+ private DriverPropertyInfo property(
+ final String name,
+ final String value,
+ final String description
+ ) {
+ final DriverPropertyInfo property = new DriverPropertyInfo(name, value);
+ property.description = description;
+ property.required = false;
+ return property;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangJdbcClient.java b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangJdbcClient.java
new file mode 100644
index 000000000..f4aeca608
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangJdbcClient.java
@@ -0,0 +1,697 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import org.apache.wayang.jdbc.protocol.MessageEnvelope;
+import org.apache.wayang.jdbc.protocol.MessageType;
+import org.apache.wayang.jdbc.protocol.io.ProtocolMessageCodec;
+import org.apache.wayang.jdbc.protocol.message.CancelQueryRequest;
+import org.apache.wayang.jdbc.protocol.message.CancelQueryResponse;
+import org.apache.wayang.jdbc.protocol.message.CloseConnectionRequest;
+import org.apache.wayang.jdbc.protocol.message.CloseConnectionResponse;
+import org.apache.wayang.jdbc.protocol.message.CloseCursorRequest;
+import org.apache.wayang.jdbc.protocol.message.CloseCursorResponse;
+import org.apache.wayang.jdbc.protocol.message.ErrorCode;
+import org.apache.wayang.jdbc.protocol.message.ErrorResponse;
+import org.apache.wayang.jdbc.protocol.message.ExecuteQueryRequest;
+import org.apache.wayang.jdbc.protocol.message.FetchRequest;
+import org.apache.wayang.jdbc.protocol.message.FetchResponse;
+import org.apache.wayang.jdbc.protocol.message.GetColumnsRequest;
+import org.apache.wayang.jdbc.protocol.message.GetSchemasRequest;
+import org.apache.wayang.jdbc.protocol.message.GetTablesRequest;
+import org.apache.wayang.jdbc.protocol.message.MetadataResultResponse;
+import org.apache.wayang.jdbc.protocol.message.MetadataType;
+import org.apache.wayang.jdbc.protocol.message.OpenConnectionRequest;
+import org.apache.wayang.jdbc.protocol.message.OpenConnectionResponse;
+import org.apache.wayang.jdbc.protocol.message.PingRequest;
+import org.apache.wayang.jdbc.protocol.message.PingResponse;
+import org.apache.wayang.jdbc.protocol.message.QueryResultResponse;
+
+import java.io.IOException;
+import java.net.InetSocketAddress;
+import java.net.Socket;
+import java.net.SocketException;
+import java.sql.DriverManager;
+import java.sql.SQLException;
+import java.sql.SQLFeatureNotSupportedException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.Properties;
+import java.util.UUID;
+
+class WayangJdbcClient implements AutoCloseable {
+
+ private static final int DEFAULT_CONNECT_TIMEOUT_MILLIS = 10_000;
+
+ private final Socket socket;
+
+ private final ProtocolMessageCodec codec;
+
+ private final String connectionId;
+
+ private final String serverVersion;
+
+ private volatile boolean closed;
+
+ WayangJdbcClient(final WayangJdbcUrl jdbcUrl) throws SQLException {
+ if (jdbcUrl == null) {
+ throw new IllegalArgumentException("JDBC URL must not be null.");
+ }
+
+ this.codec = new ProtocolMessageCodec();
+ this.socket = this.openSocket(jdbcUrl);
+ final String openedConnectionId;
+ final String openedServerVersion;
+ try {
+ final Properties properties = jdbcUrl.getProperties();
+ final OpenConnectionRequest request = new OpenConnectionRequest(
+ properties.getProperty("user"),
+ jdbcUrl.getDatabase(),
+ this.toStringMap(properties)
+ );
+
+ final OpenConnectionResponse response = this.sendAndReceive(
+ MessageType.OPEN_CONNECTION,
+ request,
+ MessageType.OPEN_CONNECTION_OK,
+ OpenConnectionResponse.class
+ );
+ if (response.getConnectionId() == null || response.getConnectionId().isBlank()) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned an invalid connection id."
+ );
+ }
+ openedConnectionId = response.getConnectionId();
+ openedServerVersion = response.getServerVersion();
+ this.socket.setSoTimeout(0);
+ } catch (SQLException e) {
+ this.markBroken();
+ throw e;
+ } catch (SocketException e) {
+ throw this.communicationFailure(
+ "Could not reset the Wayang JDBC socket after the initial handshake.",
+ e
+ );
+ }
+ this.connectionId = openedConnectionId;
+ this.serverVersion = openedServerVersion;
+ }
+
+ String getConnectionId() {
+ return this.connectionId;
+ }
+
+ String getServerVersion() {
+ return this.serverVersion;
+ }
+
+ boolean isClosed() {
+ return this.closed || this.socket.isClosed();
+ }
+
+ synchronized boolean ping(final int timeoutSeconds) throws SQLException {
+ if (timeoutSeconds < 0) {
+ throw new SQLException("Ping timeout must not be negative.", "HY092");
+ }
+ this.ensureOpen();
+
+ final boolean hasTemporaryTimeout = timeoutSeconds > 0;
+ final int previousTimeout;
+ try {
+ previousTimeout = this.socket.getSoTimeout();
+ if (hasTemporaryTimeout) {
+ this.socket.setSoTimeout(this.secondsToMilliseconds(timeoutSeconds));
+ }
+ } catch (SocketException e) {
+ throw this.communicationFailure(
+ "Could not configure the Wayang JDBC ping timeout.",
+ e
+ );
+ }
+
+ SQLException failure = null;
+ try {
+ final PingResponse response = this.sendAndReceive(
+ MessageType.PING,
+ new PingRequest(this.connectionId),
+ MessageType.PING_OK,
+ PingResponse.class
+ );
+ this.validateIdentifier(response.getConnectionId(), this.connectionId, "connection");
+ } catch (SQLException e) {
+ failure = e;
+ }
+
+ if (hasTemporaryTimeout && !this.socket.isClosed()) {
+ try {
+ this.socket.setSoTimeout(previousTimeout);
+ } catch (SocketException e) {
+ final SQLException resetFailure = this.communicationFailure(
+ "Could not restore the Wayang JDBC socket timeout after ping.",
+ e
+ );
+ if (failure == null) {
+ failure = resetFailure;
+ } else {
+ failure.addSuppressed(resetFailure);
+ }
+ }
+ }
+
+ if (failure != null) {
+ throw failure;
+ }
+ return true;
+ }
+
+ synchronized QueryResultResponse executeQuery(
+ final String statementId,
+ final String sql,
+ final int fetchSize
+ ) throws SQLException {
+ this.requireText(statementId, "Statement id");
+ this.requireText(sql, "SQL query");
+
+ final QueryResultResponse response = this.sendAndReceive(
+ MessageType.EXECUTE_QUERY,
+ new ExecuteQueryRequest(this.connectionId, statementId, sql, fetchSize),
+ MessageType.QUERY_RESULT,
+ QueryResultResponse.class
+ );
+ this.validateQueryResponse(response, statementId);
+ return response;
+ }
+
+ synchronized FetchResponse fetch(
+ final String cursorId,
+ final int fetchSize
+ ) throws SQLException {
+ this.requireText(cursorId, "Cursor id");
+
+ final FetchResponse response = this.sendAndReceive(
+ MessageType.FETCH,
+ new FetchRequest(this.connectionId, cursorId, fetchSize),
+ MessageType.FETCH_RESULT,
+ FetchResponse.class
+ );
+ this.validateFetchResponse(response, cursorId);
+ return response;
+ }
+
+ synchronized void closeCursor(
+ final String statementId,
+ final String cursorId
+ ) throws SQLException {
+ this.requireText(statementId, "Statement id");
+ this.requireText(cursorId, "Cursor id");
+
+ final CloseCursorResponse response = this.sendAndReceive(
+ MessageType.CLOSE_CURSOR,
+ new CloseCursorRequest(this.connectionId, statementId, cursorId),
+ MessageType.CLOSE_CURSOR_OK,
+ CloseCursorResponse.class
+ );
+ this.validateIdentifier(response.getConnectionId(), this.connectionId, "connection");
+ this.validateIdentifier(response.getStatementId(), statementId, "statement");
+ this.validateIdentifier(response.getCursorId(), cursorId, "cursor");
+ }
+
+ synchronized CancelQueryResponse cancelQuery(
+ final String statementId,
+ final String cursorId
+ ) throws SQLException {
+ this.requireText(statementId, "Statement id");
+
+ final CancelQueryResponse response = this.sendAndReceive(
+ MessageType.CANCEL_QUERY,
+ new CancelQueryRequest(this.connectionId, statementId, cursorId),
+ MessageType.CANCEL_QUERY_OK,
+ CancelQueryResponse.class
+ );
+ this.validateIdentifier(response.getConnectionId(), this.connectionId, "connection");
+ this.validateIdentifier(response.getStatementId(), statementId, "statement");
+ this.validateIdentifier(response.getCursorId(), cursorId, "cursor");
+ return response;
+ }
+
+ synchronized MetadataResultResponse getSchemas(
+ final String catalog,
+ final String schemaPattern
+ ) throws SQLException {
+ final MetadataResultResponse response = this.sendAndReceive(
+ MessageType.GET_SCHEMAS,
+ new GetSchemasRequest(this.connectionId, catalog, schemaPattern),
+ MessageType.METADATA_RESULT,
+ MetadataResultResponse.class
+ );
+ this.validateMetadataResponse(response, MetadataType.SCHEMAS, 2);
+ return response;
+ }
+
+ synchronized MetadataResultResponse getTables(
+ final String catalog,
+ final String schemaPattern,
+ final String tableNamePattern,
+ final String[] tableTypes
+ ) throws SQLException {
+ final MetadataResultResponse response = this.sendAndReceive(
+ MessageType.GET_TABLES,
+ new GetTablesRequest(
+ this.connectionId,
+ catalog,
+ schemaPattern,
+ tableNamePattern,
+ this.toList(tableTypes)
+ ),
+ MessageType.METADATA_RESULT,
+ MetadataResultResponse.class
+ );
+ this.validateMetadataResponse(response, MetadataType.TABLES, 10);
+ return response;
+ }
+
+ synchronized MetadataResultResponse getColumns(
+ final String catalog,
+ final String schemaPattern,
+ final String tableNamePattern,
+ final String columnNamePattern
+ ) throws SQLException {
+ final MetadataResultResponse response = this.sendAndReceive(
+ MessageType.GET_COLUMNS,
+ new GetColumnsRequest(
+ this.connectionId,
+ catalog,
+ schemaPattern,
+ tableNamePattern,
+ columnNamePattern
+ ),
+ MessageType.METADATA_RESULT,
+ MetadataResultResponse.class
+ );
+ this.validateMetadataResponse(response, MetadataType.COLUMNS, 24);
+ return response;
+ }
+
+ @Override
+ public synchronized void close() throws SQLException {
+ if (this.closed) {
+ return;
+ }
+
+ SQLException failure = null;
+ try {
+ final CloseConnectionResponse response = this.sendAndReceive(
+ MessageType.CLOSE_CONNECTION,
+ new CloseConnectionRequest(this.connectionId),
+ MessageType.CLOSE_CONNECTION_OK,
+ CloseConnectionResponse.class
+ );
+ this.validateIdentifier(
+ response.getConnectionId(),
+ this.connectionId,
+ "connection"
+ );
+ } catch (SQLException e) {
+ failure = e;
+ } finally {
+ this.closed = true;
+ try {
+ this.socket.close();
+ } catch (IOException e) {
+ if (failure == null) {
+ failure = new SQLException("Could not close Wayang JDBC socket.", "08006", e);
+ }
+ }
+ }
+
+ if (failure != null) {
+ throw failure;
+ }
+ }
+
+ private Socket openSocket(final WayangJdbcUrl jdbcUrl) throws SQLException {
+ final int connectTimeout = this.connectTimeout(jdbcUrl.getProperties());
+ final Socket openedSocket = new Socket();
+ try {
+ openedSocket.connect(
+ new InetSocketAddress(jdbcUrl.getHost(), jdbcUrl.getPort()),
+ connectTimeout
+ );
+ openedSocket.setSoTimeout(connectTimeout);
+ return openedSocket;
+ } catch (IOException e) {
+ try {
+ openedSocket.close();
+ } catch (IOException closeException) {
+ e.addSuppressed(closeException);
+ }
+ throw new SQLException("Could not connect to Wayang JDBC server.", "08001", e);
+ }
+ }
+
+ private int connectTimeout(final Properties properties) throws SQLException {
+ final String configuredValue = properties.getProperty("connectTimeout");
+ if (configuredValue != null && !configuredValue.isBlank()) {
+ final long configuredTimeout;
+ try {
+ configuredTimeout = Long.parseLong(configuredValue.trim());
+ } catch (NumberFormatException e) {
+ throw new SQLException(
+ "Wayang JDBC connectTimeout must be an integer number of milliseconds.",
+ "HY092",
+ e
+ );
+ }
+ if (configuredTimeout < 0 || configuredTimeout > Integer.MAX_VALUE) {
+ throw new SQLException(
+ "Wayang JDBC connectTimeout must be between 0 and "
+ + Integer.MAX_VALUE + " milliseconds.",
+ "HY092"
+ );
+ }
+ if (configuredTimeout > 0) {
+ return (int) configuredTimeout;
+ }
+ }
+
+ final int loginTimeoutSeconds = DriverManager.getLoginTimeout();
+ if (loginTimeoutSeconds > 0) {
+ return this.secondsToMilliseconds(loginTimeoutSeconds);
+ }
+ return DEFAULT_CONNECT_TIMEOUT_MILLIS;
+ }
+
+ private int secondsToMilliseconds(final int seconds) {
+ return (int) Math.min(
+ Integer.MAX_VALUE,
+ Math.multiplyExact((long) seconds, 1_000L)
+ );
+ }
+
+ private synchronized T sendAndReceive(
+ final MessageType requestType,
+ final Object requestPayload,
+ final MessageType expectedResponseType,
+ final Class responseClass
+ ) throws SQLException {
+ this.ensureOpen();
+
+ final String requestId = UUID.randomUUID().toString();
+ try {
+ this.codec.write(
+ this.socket.getOutputStream(),
+ this.codec.toEnvelope(requestId, requestType, requestPayload)
+ );
+
+ final MessageEnvelope response = this.codec.read(this.socket.getInputStream());
+ if (response == null) {
+ throw this.communicationFailure(
+ "Wayang JDBC server closed the connection.",
+ null
+ );
+ }
+
+ if (!requestId.equals(response.getRequestId())) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned a mismatched request id."
+ );
+ }
+
+ if (response.getType() == MessageType.ERROR) {
+ final ErrorResponse errorResponse =
+ this.codec.payloadAs(response, ErrorResponse.class);
+ if (errorResponse == null) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned an empty error response."
+ );
+ }
+ // A well-formed server error describes a request failure and
+ // does not make the protocol connection unusable.
+ throw this.toSqlException(errorResponse);
+ }
+
+ if (response.getType() != expectedResponseType) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned unexpected response type: "
+ + response.getType()
+ );
+ }
+
+ final T responsePayload = this.codec.payloadAs(response, responseClass);
+ if (responsePayload == null) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned an empty "
+ + expectedResponseType + " response."
+ );
+ }
+ return responsePayload;
+ } catch (IOException e) {
+ throw this.communicationFailure(
+ "Could not communicate with Wayang JDBC server.",
+ e
+ );
+ } catch (RuntimeException e) {
+ throw this.protocolFailure(
+ "Could not process the Wayang JDBC server response.",
+ e
+ );
+ }
+ }
+
+ private SQLException toSqlException(final ErrorResponse response) {
+ String message = response.getMessage();
+
+ if (message == null || message.isBlank()) {
+ message = "Wayang JDBC server returned an error.";
+ }
+
+ if (response.getDetail() != null && !response.getDetail().isBlank()) {
+ message = message + " " + response.getDetail();
+ }
+
+ if (response.getErrorCode() == ErrorCode.UNSUPPORTED_OPERATION) {
+ return new SQLFeatureNotSupportedException(
+ message,
+ response.getSqlState(),
+ response.getVendorCode()
+ );
+ }
+
+ return new SQLException(
+ message,
+ response.getSqlState(),
+ response.getVendorCode()
+ );
+ }
+
+ private void validateQueryResponse(
+ final QueryResultResponse response,
+ final String expectedStatementId
+ ) throws SQLException {
+ this.validateIdentifier(response.getConnectionId(), this.connectionId, "connection");
+ this.validateIdentifier(response.getStatementId(), expectedStatementId, "statement");
+ if (response.getColumns() == null || response.getRows() == null) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned null query columns or rows."
+ );
+ }
+ for (int index = 0; index < response.getColumns().size(); index++) {
+ if (response.getColumns().get(index) == null) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned a null query column at index "
+ + index + "."
+ );
+ }
+ }
+ this.validateRowWidths(
+ response.getRows(),
+ response.getColumns().size(),
+ "query"
+ );
+
+ final boolean hasCursor = response.getCursorId() != null
+ && !response.getCursorId().isBlank();
+ if (response.isHasMoreRows() != hasCursor) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned inconsistent query cursor state."
+ );
+ }
+ if (response.isHasMoreRows() && response.getRows().isEmpty()) {
+ throw this.protocolFailure(
+ "Wayang JDBC server reported more query rows after an empty batch."
+ );
+ }
+ }
+
+ private void validateFetchResponse(
+ final FetchResponse response,
+ final String expectedCursorId
+ ) throws SQLException {
+ this.validateIdentifier(response.getConnectionId(), this.connectionId, "connection");
+ this.validateIdentifier(response.getCursorId(), expectedCursorId, "cursor");
+ if (response.getRows() == null) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned null fetch rows."
+ );
+ }
+ for (int index = 0; index < response.getRows().size(); index++) {
+ if (response.getRows().get(index) == null) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned a null fetch row at index "
+ + index + "."
+ );
+ }
+ }
+ if (response.isHasMoreRows() && response.getRows().isEmpty()) {
+ throw this.protocolFailure(
+ "Wayang JDBC server reported more fetched rows after an empty batch."
+ );
+ }
+ }
+
+ private void validateMetadataResponse(
+ final MetadataResultResponse response,
+ final MetadataType expectedType,
+ final int expectedColumnCount
+ ) throws SQLException {
+ this.validateIdentifier(response.getConnectionId(), this.connectionId, "connection");
+ if (response.getMetadataType() != expectedType) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned metadata type "
+ + response.getMetadataType() + " for " + expectedType + "."
+ );
+ }
+ if (response.getColumns() == null || response.getRows() == null) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned null metadata columns or rows."
+ );
+ }
+ if (response.getColumns().size() != expectedColumnCount) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned " + response.getColumns().size()
+ + " columns for " + expectedType + " metadata; expected "
+ + expectedColumnCount + "."
+ );
+ }
+ for (int index = 0; index < response.getColumns().size(); index++) {
+ if (response.getColumns().get(index) == null
+ || response.getColumns().get(index).getColumnName() == null
+ || response.getColumns().get(index).getColumnName().isBlank()) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned an invalid metadata column at index "
+ + index + "."
+ );
+ }
+ }
+ this.validateRowWidths(response.getRows(), expectedColumnCount, "metadata");
+ }
+
+ private void validateRowWidths(
+ final List> rows,
+ final int expectedColumnCount,
+ final String resultName
+ ) throws SQLException {
+ for (int index = 0; index < rows.size(); index++) {
+ final List row = rows.get(index);
+ if (row == null || row.size() != expectedColumnCount) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned an invalid " + resultName
+ + " row at index " + index + "."
+ );
+ }
+ }
+ }
+
+ private void validateIdentifier(
+ final String actual,
+ final String expected,
+ final String identifierName
+ ) throws SQLException {
+ if (!Objects.equals(actual, expected)) {
+ throw this.protocolFailure(
+ "Wayang JDBC server returned a mismatched "
+ + identifierName + " id."
+ );
+ }
+ }
+
+ private SQLException protocolFailure(final String message) {
+ return this.protocolFailure(message, null);
+ }
+
+ private SQLException protocolFailure(
+ final String message,
+ final Throwable cause
+ ) {
+ this.markBroken();
+ return new SQLException(message, "08S01", cause);
+ }
+
+ private SQLException communicationFailure(
+ final String message,
+ final Throwable cause
+ ) {
+ this.markBroken();
+ return new SQLException(message, "08006", cause);
+ }
+
+ private synchronized void markBroken() {
+ this.closed = true;
+ try {
+ this.socket.close();
+ } catch (IOException ignored) {
+ // The original communication/protocol failure is more useful.
+ }
+ }
+
+ private void ensureOpen() throws SQLException {
+ if (this.isClosed()) {
+ throw new SQLException("Wayang JDBC connection is closed.", "08003");
+ }
+ }
+
+ private void requireText(
+ final String value,
+ final String fieldName
+ ) throws SQLException {
+ if (value == null || value.isBlank()) {
+ throw new SQLException(
+ fieldName + " must not be blank.", "HY000"
+ );
+ }
+ }
+
+ private Map toStringMap(final Properties properties) {
+ final Map values = new LinkedHashMap<>();
+ for (String name : properties.stringPropertyNames()) {
+ values.put(name, properties.getProperty(name));
+ }
+ return values;
+ }
+
+ private List toList(final String[] values) {
+ if (values == null) {
+ return null;
+ }
+ return new ArrayList<>(Arrays.asList(values));
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangJdbcUrl.java b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangJdbcUrl.java
new file mode 100644
index 000000000..75f06e515
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangJdbcUrl.java
@@ -0,0 +1,212 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import org.apache.wayang.jdbc.protocol.ProtocolConstants;
+
+import java.io.ByteArrayOutputStream;
+import java.net.URI;
+import java.net.URISyntaxException;
+import java.nio.ByteBuffer;
+import java.nio.charset.CharacterCodingException;
+import java.nio.charset.CodingErrorAction;
+import java.nio.charset.StandardCharsets;
+import java.sql.SQLException;
+import java.util.LinkedHashMap;
+import java.util.Map;
+import java.util.Properties;
+
+public final class WayangJdbcUrl {
+
+ public static final String PREFIX = "jdbc:wayang://";
+
+ private final String host;
+
+ private final int port;
+
+ private final String database;
+
+ private final Properties properties;
+
+ private WayangJdbcUrl(
+ final String host,
+ final int port,
+ final String database,
+ final Properties properties
+ ) {
+ this.host = host;
+ this.port = port;
+ this.database = database;
+ this.properties = properties;
+ }
+
+ public static boolean accepts(final String url) {
+ return url != null && url.startsWith(PREFIX);
+ }
+
+ public static WayangJdbcUrl parse(final String url, final Properties inputProperties) throws SQLException {
+ if (!accepts(url)) {
+ throw new SQLException("Invalid Wayang JDBC URL: " + url);
+ }
+
+ final String uriValue = "wayang://" + url.substring(PREFIX.length());
+
+ final URI uri;
+ try {
+ uri = new URI(uriValue);
+ } catch (URISyntaxException e) {
+ throw new SQLException("Could not parse Wayang JDBC URL: " + url, e);
+ }
+
+ final String host = uri.getHost();
+ if (host == null || host.isBlank()) {
+ throw new SQLException("Wayang JDBC URL must contain a host.");
+ }
+ if (uri.getRawUserInfo() != null) {
+ throw new SQLException("Wayang JDBC URLs do not support user information.");
+ }
+ if (uri.getRawFragment() != null) {
+ throw new SQLException("Wayang JDBC URLs do not support fragments.");
+ }
+
+ final int port = uri.getPort() == -1 ? ProtocolConstants.DEFAULT_PORT : uri.getPort();
+ if (port < 1 || port > 65_535) {
+ throw new SQLException("Wayang JDBC URL port must be between 1 and 65535.");
+ }
+ final String database = parseDatabase(uri.getRawPath());
+
+ final Properties properties = new Properties();
+ if (inputProperties != null) {
+ properties.putAll(inputProperties);
+ }
+ // JDBC URL query properties deliberately take precedence over the
+ // Properties supplied to Driver.connect.
+ parseQueryProperties(uri.getRawQuery()).forEach(properties::setProperty);
+
+ return new WayangJdbcUrl(host, port, database, properties);
+ }
+
+ private static String parseDatabase(final String rawPath) throws SQLException {
+ if (rawPath == null || rawPath.isEmpty() || "/".equals(rawPath)) {
+ return null;
+ }
+ if (!rawPath.startsWith("/")) {
+ throw new SQLException("Wayang JDBC URL database path must start with '/'.");
+ }
+
+ final String rawDatabase = rawPath.substring(1);
+ if (rawDatabase.isEmpty() || rawDatabase.indexOf('/') >= 0) {
+ throw new SQLException("Wayang JDBC URL supports at most one database path segment.");
+ }
+
+ final String database = percentDecode(rawDatabase, "database");
+ if (database.isBlank() || database.indexOf('/') >= 0) {
+ throw new SQLException("Wayang JDBC URL database must be a non-blank path segment.");
+ }
+ return database;
+ }
+
+ private static Map parseQueryProperties(final String query) throws SQLException {
+ final Map properties = new LinkedHashMap<>();
+ if (query == null || query.isBlank()) {
+ return properties;
+ }
+
+ final String[] pairs = query.split("&", -1);
+ for (String pair : pairs) {
+ final int separator = pair.indexOf('=');
+ if (separator <= 0) {
+ throw new SQLException("Invalid Wayang JDBC URL query property: " + pair);
+ }
+ final String name = percentDecode(pair.substring(0, separator), "query property name");
+ final String value = percentDecode(pair.substring(separator + 1), "query property value");
+ if (name.isBlank()) {
+ throw new SQLException("Wayang JDBC URL query property names must not be blank.");
+ }
+ properties.put(name, value);
+ }
+
+ return properties;
+ }
+
+ private static String percentDecode(
+ final String value,
+ final String fieldName
+ ) throws SQLException {
+ final StringBuilder decoded = new StringBuilder(value.length());
+ int index = 0;
+ while (index < value.length()) {
+ if (value.charAt(index) != '%') {
+ decoded.append(value.charAt(index));
+ index++;
+ continue;
+ }
+
+ final ByteArrayOutputStream escapedBytes = new ByteArrayOutputStream();
+ while (index < value.length() && value.charAt(index) == '%') {
+ if (index + 2 >= value.length()) {
+ throw invalidPercentEncoding(fieldName);
+ }
+ final int high = Character.digit(value.charAt(index + 1), 16);
+ final int low = Character.digit(value.charAt(index + 2), 16);
+ if (high < 0 || low < 0) {
+ throw invalidPercentEncoding(fieldName);
+ }
+ escapedBytes.write((high << 4) + low);
+ index += 3;
+ }
+
+ try {
+ decoded.append(StandardCharsets.UTF_8.newDecoder()
+ .onMalformedInput(CodingErrorAction.REPORT)
+ .onUnmappableCharacter(CodingErrorAction.REPORT)
+ .decode(ByteBuffer.wrap(escapedBytes.toByteArray())));
+ } catch (CharacterCodingException e) {
+ throw new SQLException(
+ "Wayang JDBC URL " + fieldName + " is not valid UTF-8.",
+ e
+ );
+ }
+ }
+ return decoded.toString();
+ }
+
+ private static SQLException invalidPercentEncoding(final String fieldName) {
+ return new SQLException(
+ "Wayang JDBC URL " + fieldName + " contains invalid percent encoding."
+ );
+ }
+
+ public String getHost() {
+ return this.host;
+ }
+
+ public int getPort() {
+ return this.port;
+ }
+
+ public String getDatabase() {
+ return this.database;
+ }
+
+ public Properties getProperties() {
+ final Properties copy = new Properties();
+ copy.putAll(this.properties);
+ return copy;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangResultSet.java b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangResultSet.java
new file mode 100644
index 000000000..12a1ad978
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangResultSet.java
@@ -0,0 +1,1277 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+import org.apache.wayang.jdbc.protocol.message.FetchResponse;
+import org.apache.wayang.jdbc.protocol.message.QueryResultResponse;
+
+import java.lang.reflect.InvocationHandler;
+import java.lang.reflect.Method;
+import java.lang.reflect.Proxy;
+import java.math.BigDecimal;
+import java.math.RoundingMode;
+import java.net.MalformedURLException;
+import java.net.URL;
+import java.nio.charset.StandardCharsets;
+import java.sql.Date;
+import java.sql.ResultSet;
+import java.sql.ResultSetMetaData;
+import java.sql.SQLException;
+import java.sql.SQLFeatureNotSupportedException;
+import java.sql.Time;
+import java.sql.Timestamp;
+import java.sql.Types;
+import java.time.Instant;
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.time.LocalTime;
+import java.time.OffsetDateTime;
+import java.time.OffsetTime;
+import java.time.ZoneOffset;
+import java.util.ArrayList;
+import java.util.Base64;
+import java.util.Calendar;
+import java.util.Collections;
+import java.util.List;
+import java.util.Locale;
+import java.util.Map;
+
+final class WayangResultSet implements InvocationHandler {
+
+ private final WayangStatement statement;
+
+ private final WayangJdbcClient client;
+
+ private final List columns;
+
+ private final ResultSetMetaData metaData;
+
+ private final int maxRows;
+
+ private List> rows;
+
+ private String cursorId;
+
+ private boolean hasMoreRows;
+
+ private int fetchSize;
+
+ private int rowIndex = -1;
+
+ private int rowNumber;
+
+ private CursorState cursorState;
+
+ private volatile boolean closed;
+
+ private Object lastValue;
+
+ private boolean columnWasRead;
+
+ private WayangResultSet(
+ final WayangStatement statement,
+ final WayangJdbcClient client,
+ final QueryResultResponse response,
+ final int fetchSize,
+ final int maxRows
+ ) throws SQLException {
+ this.statement = statement;
+ this.client = client;
+ this.fetchSize = fetchSize;
+ this.maxRows = maxRows;
+ this.validateInitialResponse(response);
+ this.columns = this.copyColumns(response.getColumns());
+ this.rows = this.copyRows(response.getRows(), "query result");
+ this.cursorId = this.normalizeCursorId(response.getCursorId());
+ this.hasMoreRows = response.isHasMoreRows();
+ this.cursorState = this.rows.isEmpty() ? CursorState.EMPTY : CursorState.BEFORE_FIRST;
+ this.metaData = new WayangResultSetMetaData(this.columns);
+ }
+
+ static ResultSet create(
+ final WayangStatement statement,
+ final WayangJdbcClient client,
+ final QueryResultResponse response,
+ final int fetchSize,
+ final int maxRows
+ ) throws SQLException {
+ return (ResultSet) Proxy.newProxyInstance(
+ ResultSet.class.getClassLoader(),
+ new Class[]{ResultSet.class},
+ new WayangResultSet(statement, client, response, fetchSize, maxRows)
+ );
+ }
+
+ @Override
+ public Object invoke(
+ final Object proxy,
+ final Method method,
+ final Object[] args
+ ) throws Throwable {
+ if (method.getDeclaringClass() == Object.class) {
+ return this.invokeObjectMethod(proxy, method, args);
+ }
+
+ final String methodName = method.getName();
+ if ("close".equals(methodName)) {
+ this.close((ResultSet) proxy);
+ return null;
+ }
+ if ("isClosed".equals(methodName)) {
+ return this.isEffectivelyClosed();
+ }
+
+ this.ensureOpen();
+
+ switch (methodName) {
+ case "next":
+ return this.next();
+ case "wasNull":
+ return this.columnWasRead && this.lastValue == null;
+ case "getMetaData":
+ return this.metaData;
+ case "getStatement":
+ return this.statement;
+ case "findColumn":
+ return this.findColumn((String) args[0]);
+ case "getObject":
+ return this.getObject(method, args);
+ case "getString":
+ case "getNString":
+ return this.asString(this.value(args[0]));
+ case "getBoolean":
+ return this.asBoolean(this.value(args[0]));
+ case "getByte":
+ return this.asBoundedIntegral(
+ this.value(args[0]),
+ Byte.MIN_VALUE,
+ Byte.MAX_VALUE,
+ "byte"
+ ).byteValue();
+ case "getShort":
+ return this.asBoundedIntegral(
+ this.value(args[0]),
+ Short.MIN_VALUE,
+ Short.MAX_VALUE,
+ "short"
+ ).shortValue();
+ case "getInt":
+ return this.asBoundedIntegral(
+ this.value(args[0]),
+ Integer.MIN_VALUE,
+ Integer.MAX_VALUE,
+ "int"
+ ).intValue();
+ case "getLong":
+ return this.asBoundedIntegral(
+ this.value(args[0]),
+ Long.MIN_VALUE,
+ Long.MAX_VALUE,
+ "long"
+ ).longValue();
+ case "getFloat":
+ return this.asFloat(this.value(args[0]));
+ case "getDouble":
+ return this.asDouble(this.value(args[0]));
+ case "getBigDecimal":
+ return this.getBigDecimal(args);
+ case "getBytes":
+ return this.asBytes(this.value(args[0]));
+ case "getAsciiStream":
+ return this.asAsciiStream(this.value(args[0]));
+ case "getBinaryStream":
+ return this.asBinaryStream(this.value(args[0]));
+ case "getUnicodeStream":
+ return this.asUnicodeStream(this.value(args[0]));
+ case "getCharacterStream":
+ case "getNCharacterStream":
+ return this.asCharacterStream(this.value(args[0]));
+ case "getDate":
+ return this.asDate(this.value(args[0]), this.calendarArg(args));
+ case "getTime":
+ return this.asTime(this.value(args[0]), this.calendarArg(args));
+ case "getTimestamp":
+ return this.asTimestamp(this.value(args[0]), this.calendarArg(args));
+ case "getURL":
+ return this.asUrl(this.value(args[0]));
+ case "getArray":
+ return this.unsupportedValue("SQL ARRAY values are not supported.");
+ case "getBlob":
+ return this.unsupportedValue("BLOB values are not supported.");
+ case "getClob":
+ return this.unsupportedValue("CLOB values are not supported.");
+ case "getNClob":
+ return this.unsupportedValue("NCLOB values are not supported.");
+ case "getSQLXML":
+ return this.unsupportedValue("SQLXML values are not supported.");
+ case "getRef":
+ return this.unsupportedValue("SQL REF values are not supported.");
+ case "getRowId":
+ return this.unsupportedValue("ROWID values are not supported.");
+ case "getCursorName":
+ return this.unsupportedValue("Named cursors are not supported.");
+ case "getRow":
+ return this.cursorState == CursorState.ON_ROW ? this.rowNumber : 0;
+ case "isBeforeFirst":
+ return this.cursorState == CursorState.BEFORE_FIRST;
+ case "isAfterLast":
+ return this.cursorState == CursorState.AFTER_LAST;
+ case "isFirst":
+ return this.cursorState == CursorState.ON_ROW && this.rowNumber == 1;
+ case "isLast":
+ return this.isOnLastRow();
+ case "rowUpdated":
+ case "rowInserted":
+ case "rowDeleted":
+ return false;
+ case "beforeFirst":
+ case "afterLast":
+ case "first":
+ case "last":
+ case "absolute":
+ case "relative":
+ case "previous":
+ throw this.unsupported("Wayang JDBC supports only forward-only result sets.");
+ case "getType":
+ return ResultSet.TYPE_FORWARD_ONLY;
+ case "getConcurrency":
+ return ResultSet.CONCUR_READ_ONLY;
+ case "getHoldability":
+ return ResultSet.CLOSE_CURSORS_AT_COMMIT;
+ case "getFetchDirection":
+ return ResultSet.FETCH_FORWARD;
+ case "setFetchDirection":
+ this.validateFetchDirection((Integer) args[0]);
+ if ((Integer) args[0] != ResultSet.FETCH_FORWARD) {
+ throw this.unsupported("Wayang JDBC supports only forward fetch direction.");
+ }
+ return null;
+ case "getFetchSize":
+ return this.fetchSize;
+ case "setFetchSize":
+ this.setFetchSize((Integer) args[0]);
+ return null;
+ case "getWarnings":
+ return null;
+ case "clearWarnings":
+ return null;
+ case "unwrap":
+ return this.unwrap(proxy, (Class) args[0]);
+ case "isWrapperFor":
+ return this.isWrapperFor(proxy, (Class) args[0]);
+ default:
+ if (this.isWriteMethod(methodName)) {
+ throw this.unsupported("Wayang JDBC result sets are read-only.");
+ }
+ throw this.unsupported("ResultSet method is not supported yet: " + methodName);
+ }
+ }
+
+ private Object invokeObjectMethod(
+ final Object proxy,
+ final Method method,
+ final Object[] args
+ ) {
+ switch (method.getName()) {
+ case "toString":
+ return "WayangResultSet";
+ case "hashCode":
+ return System.identityHashCode(proxy);
+ case "equals":
+ return proxy == args[0];
+ default:
+ throw new IllegalStateException("Unsupported Object method: " + method.getName());
+ }
+ }
+
+ private boolean next() throws SQLException {
+ this.clearLastValue();
+
+ if (this.cursorState == CursorState.AFTER_LAST || this.cursorState == CursorState.EMPTY) {
+ return false;
+ }
+
+ if (this.reachedMaxRows()) {
+ this.finishResultSet();
+ return false;
+ }
+
+ if (this.rowIndex + 1 < this.rows.size()) {
+ this.rowIndex++;
+ this.rowNumber++;
+ this.cursorState = CursorState.ON_ROW;
+ return true;
+ }
+
+ while (this.hasMoreRows && this.cursorId != null) {
+ this.fetchNextBatch();
+
+ if (this.reachedMaxRows()) {
+ this.finishResultSet();
+ return false;
+ }
+
+ if (this.rowIndex + 1 < this.rows.size()) {
+ this.rowIndex++;
+ this.rowNumber++;
+ this.cursorState = CursorState.ON_ROW;
+ return true;
+ }
+ }
+
+ this.finishResultSet();
+ return false;
+ }
+
+ private void fetchNextBatch() throws SQLException {
+ final String requestedCursorId = this.cursorId;
+ final FetchResponse response = this.client.fetch(requestedCursorId, this.fetchSize);
+ try {
+ if (response == null) {
+ throw this.protocolError("Wayang JDBC server returned a null fetch response.");
+ }
+ if (!this.client.getConnectionId().equals(response.getConnectionId())) {
+ throw this.protocolError("Fetch response connection id does not match the open connection.");
+ }
+ if (!requestedCursorId.equals(response.getCursorId())) {
+ throw this.protocolError("Fetch response cursor id does not match the requested cursor.");
+ }
+
+ final List> fetchedRows = this.copyRows(response.getRows(), "fetch response");
+ if (response.isHasMoreRows() && fetchedRows.isEmpty()) {
+ throw this.protocolError("Fetch response reported more rows but returned an empty batch.");
+ }
+
+ this.rows = fetchedRows;
+ this.hasMoreRows = response.isHasMoreRows();
+ this.rowIndex = -1;
+ if (!this.hasMoreRows) {
+ this.cursorId = null;
+ }
+ } catch (SQLException e) {
+ this.closeCursorAfterProtocolFailure(e);
+ throw e;
+ }
+ }
+
+ private void finishResultSet() throws SQLException {
+ this.closeCursorIfOpen();
+ this.rowIndex = -1;
+ this.clearLastValue();
+ this.cursorState = this.rowNumber == 0 ? CursorState.EMPTY : CursorState.AFTER_LAST;
+ }
+
+ private boolean isOnLastRow() {
+ if (this.cursorState != CursorState.ON_ROW) {
+ return false;
+ }
+ if (this.reachedMaxRows()) {
+ return true;
+ }
+ return !this.hasMoreRows && this.rowIndex == this.rows.size() - 1;
+ }
+
+ private void clearLastValue() {
+ this.lastValue = null;
+ this.columnWasRead = false;
+ }
+
+ private Object getObject(final Method method, final Object[] args) throws SQLException {
+ final int columnIndex = this.columnIndex(args[0]);
+ final Object value = this.value(columnIndex);
+ if (args.length == 1) {
+ return this.defaultJdbcObject(value, this.columns.get(columnIndex - 1));
+ }
+
+ if (Map.class.isAssignableFrom(method.getParameterTypes()[1])) {
+ throw this.unsupported("Custom SQL type maps are not supported.");
+ }
+
+ if (!(args[1] instanceof Class)) {
+ throw new SQLException("Target type must not be null.");
+ }
+ final Class targetType = (Class) args[1];
+ if (value == null || targetType.isInstance(value)) {
+ return value;
+ }
+ if (targetType == String.class) {
+ return this.asString(value);
+ }
+ if (targetType == Boolean.class || targetType == boolean.class) {
+ return this.asBoolean(value);
+ }
+ if (targetType == Byte.class || targetType == byte.class) {
+ return this.asBoundedIntegral(
+ value,
+ Byte.MIN_VALUE,
+ Byte.MAX_VALUE,
+ "byte"
+ ).byteValue();
+ }
+ if (targetType == Short.class || targetType == short.class) {
+ return this.asBoundedIntegral(
+ value,
+ Short.MIN_VALUE,
+ Short.MAX_VALUE,
+ "short"
+ ).shortValue();
+ }
+ if (targetType == Integer.class || targetType == int.class) {
+ return this.asBoundedIntegral(
+ value,
+ Integer.MIN_VALUE,
+ Integer.MAX_VALUE,
+ "int"
+ ).intValue();
+ }
+ if (targetType == Long.class || targetType == long.class) {
+ return this.asBoundedIntegral(
+ value,
+ Long.MIN_VALUE,
+ Long.MAX_VALUE,
+ "long"
+ ).longValue();
+ }
+ if (targetType == Float.class || targetType == float.class) {
+ return this.asFloat(value);
+ }
+ if (targetType == Double.class || targetType == double.class) {
+ return this.asDouble(value);
+ }
+ if (targetType == BigDecimal.class) {
+ return this.asBigDecimal(value);
+ }
+ if (targetType == byte[].class) {
+ return this.asBytes(value);
+ }
+ if (targetType == Date.class) {
+ return this.asDate(value, null);
+ }
+ if (targetType == Time.class) {
+ return this.asTime(value, null);
+ }
+ if (targetType == Timestamp.class) {
+ return this.asTimestamp(value, null);
+ }
+ if (targetType == LocalDate.class) {
+ final Date date = this.asDate(value, null);
+ return date == null ? null : date.toLocalDate();
+ }
+ if (targetType == LocalTime.class) {
+ final Time time = this.asTime(value, null);
+ return time == null ? null : time.toLocalTime();
+ }
+ if (targetType == LocalDateTime.class) {
+ final Timestamp timestamp = this.asTimestamp(value, null);
+ return timestamp == null ? null : timestamp.toLocalDateTime();
+ }
+ if (targetType == Instant.class) {
+ final Timestamp timestamp = this.asTimestamp(value, null);
+ return timestamp == null ? null : timestamp.toInstant();
+ }
+ if (targetType == URL.class) {
+ return this.asUrl(value);
+ }
+ throw new SQLException("Cannot convert value to " + targetType.getName());
+ }
+
+ private Object defaultJdbcObject(
+ final Object value,
+ final ColumnInfo column
+ ) throws SQLException {
+ if (value == null) {
+ return null;
+ }
+ switch (column.getJdbcType()) {
+ case Types.DATE:
+ return this.asDate(value, null);
+ case Types.TIME:
+ return this.asTime(value, null);
+ case Types.TIMESTAMP:
+ return this.asTimestamp(value, null);
+ default:
+ return value;
+ }
+ }
+
+ private BigDecimal getBigDecimal(final Object[] args) throws SQLException {
+ final BigDecimal value = this.asBigDecimal(this.value(args[0]));
+ if (value == null || args.length == 1) {
+ return value;
+ }
+ final int scale = (Integer) args[1];
+ if (scale < 0) {
+ throw new SQLException("Scale must not be negative.");
+ }
+ return value.setScale(scale, RoundingMode.HALF_UP);
+ }
+
+ private Object value(final Object column) throws SQLException {
+ this.ensureOpen();
+ final int columnIndex = this.columnIndex(column);
+ final List row = this.currentRow();
+ this.lastValue = row.get(columnIndex - 1);
+ this.columnWasRead = true;
+ return this.lastValue;
+ }
+
+ private int columnIndex(final Object column) throws SQLException {
+ final int columnIndex;
+ if (column instanceof Integer) {
+ columnIndex = (Integer) column;
+ } else if (column instanceof String) {
+ columnIndex = this.findColumn((String) column);
+ } else {
+ throw new SQLException("Unsupported column reference: " + column);
+ }
+
+ if (columnIndex < 1 || columnIndex > this.columns.size()) {
+ throw new SQLException("Column index out of bounds: " + columnIndex);
+ }
+ return columnIndex;
+ }
+
+ private List currentRow() throws SQLException {
+ if (this.cursorState != CursorState.ON_ROW
+ || this.rowIndex < 0
+ || this.rowIndex >= this.rows.size()) {
+ throw new SQLException("ResultSet cursor is not positioned on a row.");
+ }
+ return this.rows.get(this.rowIndex);
+ }
+
+ private int findColumn(final String columnLabel) throws SQLException {
+ if (columnLabel == null || columnLabel.isBlank()) {
+ throw new SQLException("Column label must not be blank.");
+ }
+ for (int i = 0; i < this.columns.size(); i++) {
+ final ColumnInfo column = this.columns.get(i);
+ if (columnLabel.equalsIgnoreCase(column.getColumnLabel())
+ || columnLabel.equalsIgnoreCase(column.getColumnName())) {
+ return i + 1;
+ }
+ }
+ throw new SQLException("Unknown column label: " + columnLabel);
+ }
+
+ private void close(final ResultSet proxy) throws SQLException {
+ if (this.closed) {
+ return;
+ }
+
+ SQLException failure = null;
+ try {
+ this.closeCursorIfOpen();
+ } catch (SQLException e) {
+ failure = e;
+ } finally {
+ this.closed = true;
+ try {
+ this.statement.resultSetClosed(proxy);
+ } catch (SQLException e) {
+ if (failure == null) {
+ failure = e;
+ } else {
+ failure.addSuppressed(e);
+ }
+ }
+ }
+
+ if (failure != null) {
+ throw failure;
+ }
+ }
+
+ private List copyColumns(final List sourceColumns) throws SQLException {
+ if (sourceColumns == null || sourceColumns.isEmpty()) {
+ throw this.protocolError("Query result did not declare any columns.");
+ }
+ final List copy = new ArrayList<>(sourceColumns.size());
+ for (int index = 0; index < sourceColumns.size(); index++) {
+ final ColumnInfo column = sourceColumns.get(index);
+ if (column == null) {
+ throw this.protocolError("Query result column " + (index + 1) + " is null.");
+ }
+ copy.add(column);
+ }
+ return Collections.unmodifiableList(copy);
+ }
+
+ private List> copyRows(
+ final List> sourceRows,
+ final String responseName
+ ) throws SQLException {
+ if (sourceRows == null) {
+ throw this.protocolError("Wayang JDBC server returned null rows in " + responseName + ".");
+ }
+ final List> copy = new ArrayList<>();
+ for (int index = 0; index < sourceRows.size(); index++) {
+ final List row = sourceRows.get(index);
+ if (row == null) {
+ throw this.protocolError(responseName + " row " + (index + 1) + " is null.");
+ }
+ if (row.size() != this.columns.size()) {
+ throw this.protocolError(responseName + " row " + (index + 1)
+ + " has " + row.size() + " values but "
+ + this.columns.size() + " columns were declared.");
+ }
+ final List convertedRow = new ArrayList<>(row.size());
+ for (int columnIndex = 0; columnIndex < row.size(); columnIndex++) {
+ convertedRow.add(this.coerceJdbcValue(
+ row.get(columnIndex),
+ this.columns.get(columnIndex)
+ ));
+ }
+ copy.add(convertedRow);
+ }
+ return copy;
+ }
+
+ private Object coerceJdbcValue(
+ final Object value,
+ final ColumnInfo column
+ ) throws SQLException {
+ if (value == null) {
+ return null;
+ }
+
+ try {
+ switch (column.getJdbcType()) {
+ case Types.BIT:
+ case Types.BOOLEAN:
+ return this.asBoolean(value);
+ case Types.TINYINT:
+ return this.asBigDecimal(value).byteValueExact();
+ case Types.SMALLINT:
+ return this.asBigDecimal(value).shortValueExact();
+ case Types.INTEGER:
+ return this.asBigDecimal(value).intValueExact();
+ case Types.BIGINT:
+ return this.asBigDecimal(value).longValueExact();
+ case Types.REAL:
+ return this.asNumber(value).floatValue();
+ case Types.FLOAT:
+ case Types.DOUBLE:
+ return this.asNumber(value).doubleValue();
+ case Types.NUMERIC:
+ case Types.DECIMAL:
+ return this.asBigDecimal(value);
+ case Types.CHAR:
+ case Types.VARCHAR:
+ case Types.LONGVARCHAR:
+ case Types.NCHAR:
+ case Types.NVARCHAR:
+ case Types.LONGNVARCHAR:
+ return this.asString(value);
+ case Types.BINARY:
+ case Types.VARBINARY:
+ case Types.LONGVARBINARY:
+ return this.decodeBinaryValue(value);
+ case Types.DATE:
+ return this.asLocalDateValue(value);
+ case Types.TIME:
+ return this.asLocalTimeValue(value);
+ case Types.TIMESTAMP:
+ return this.asLocalDateTimeValue(value);
+ case Types.TIME_WITH_TIMEZONE:
+ return this.asOffsetTime(value);
+ case Types.TIMESTAMP_WITH_TIMEZONE:
+ return this.asOffsetDateTime(value);
+ default:
+ return value;
+ }
+ } catch (ArithmeticException e) {
+ throw this.protocolError(
+ "Value for column '" + column.getColumnLabel()
+ + "' is outside the declared JDBC type range."
+ );
+ }
+ }
+
+ private LocalDate asLocalDateValue(final Object value) throws SQLException {
+ if (value instanceof LocalDate) {
+ return (LocalDate) value;
+ }
+ if (value instanceof Date) {
+ return ((Date) value).toLocalDate();
+ }
+ if (value instanceof Number) {
+ try {
+ return LocalDate.ofEpochDay(((Number) value).longValue());
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to LocalDate: " + value, e);
+ }
+ }
+ try {
+ final String text = String.valueOf(value).trim();
+ final int timeSeparator = text.indexOf(' ');
+ final int isoSeparator = text.indexOf('T');
+ final int separator = timeSeparator >= 0 ? timeSeparator : isoSeparator;
+ return LocalDate.parse(separator >= 0 ? text.substring(0, separator) : text);
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to LocalDate: " + value, e);
+ }
+ }
+
+ private LocalTime asLocalTimeValue(final Object value) throws SQLException {
+ if (value instanceof LocalTime) {
+ return (LocalTime) value;
+ }
+ if (value instanceof Time) {
+ return ((Time) value).toLocalTime();
+ }
+ if (value instanceof Number) {
+ final long millis = ((Number) value).longValue();
+ if (millis < 0L || millis >= 86_400_000L) {
+ throw new SQLException("TIME value is outside one day: " + value);
+ }
+ return LocalTime.ofNanoOfDay(millis * 1_000_000L);
+ }
+ try {
+ String text = String.valueOf(value).trim();
+ final int dateSeparator = text.indexOf('T');
+ if (dateSeparator >= 0) {
+ text = text.substring(dateSeparator + 1);
+ } else if (text.indexOf(' ') >= 0) {
+ text = text.substring(text.indexOf(' ') + 1);
+ }
+ return LocalTime.parse(text);
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to LocalTime: " + value, e);
+ }
+ }
+
+ private LocalDateTime asLocalDateTimeValue(final Object value) throws SQLException {
+ if (value instanceof LocalDateTime) {
+ return (LocalDateTime) value;
+ }
+ if (value instanceof Timestamp) {
+ return ((Timestamp) value).toLocalDateTime();
+ }
+ if (value instanceof Number) {
+ return LocalDateTime.ofInstant(
+ Instant.ofEpochMilli(((Number) value).longValue()),
+ ZoneOffset.UTC
+ );
+ }
+ try {
+ final String text = String.valueOf(value).trim();
+ try {
+ return LocalDateTime.parse(text.replace(' ', 'T'));
+ } catch (RuntimeException ignored) {
+ return LocalDateTime.ofInstant(Instant.parse(text), ZoneOffset.UTC);
+ }
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to LocalDateTime: " + value, e);
+ }
+ }
+
+ private byte[] decodeBinaryValue(final Object value) throws SQLException {
+ if (value instanceof byte[]) {
+ return ((byte[]) value).clone();
+ }
+ if (value instanceof String) {
+ try {
+ return Base64.getDecoder().decode((String) value);
+ } catch (IllegalArgumentException e) {
+ throw this.protocolError("Binary result value is not valid Base64 text.");
+ }
+ }
+ throw this.protocolError("Binary result value has an unsupported wire representation.");
+ }
+
+ private OffsetTime asOffsetTime(final Object value) throws SQLException {
+ if (value instanceof OffsetTime) {
+ return (OffsetTime) value;
+ }
+ try {
+ return OffsetTime.parse(String.valueOf(value).trim());
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to OffsetTime: " + value, e);
+ }
+ }
+
+ private OffsetDateTime asOffsetDateTime(final Object value) throws SQLException {
+ if (value instanceof OffsetDateTime) {
+ return (OffsetDateTime) value;
+ }
+ if (value instanceof Instant) {
+ return ((Instant) value).atOffset(java.time.ZoneOffset.UTC);
+ }
+ try {
+ final String text = String.valueOf(value).trim();
+ try {
+ return OffsetDateTime.parse(text);
+ } catch (RuntimeException ignored) {
+ return Instant.parse(text).atOffset(java.time.ZoneOffset.UTC);
+ }
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to OffsetDateTime: " + value, e);
+ }
+ }
+
+ private boolean reachedMaxRows() {
+ return this.maxRows > 0 && this.rowNumber >= this.maxRows;
+ }
+
+ private void closeCursorIfOpen() throws SQLException {
+ if (this.cursorId != null) {
+ if (!this.client.isClosed()) {
+ this.client.closeCursor(this.statement.getStatementId(), this.cursorId);
+ }
+ this.cursorId = null;
+ this.hasMoreRows = false;
+ }
+ }
+
+ private String asString(final Object value) {
+ if (value == null) {
+ return null;
+ }
+ if (value instanceof byte[]) {
+ return new String((byte[]) value, StandardCharsets.UTF_8);
+ }
+ return String.valueOf(value);
+ }
+
+ private Boolean asBoolean(final Object value) throws SQLException {
+ if (value == null) {
+ return false;
+ }
+ if (value instanceof Boolean) {
+ return (Boolean) value;
+ }
+ if (value instanceof Number) {
+ return ((Number) value).doubleValue() != 0D;
+ }
+ final String text = String.valueOf(value).trim().toLowerCase(Locale.ROOT);
+ if ("true".equals(text) || "1".equals(text)) {
+ return true;
+ }
+ if ("false".equals(text) || "0".equals(text)) {
+ return false;
+ }
+ try {
+ return new BigDecimal(text).compareTo(BigDecimal.ZERO) != 0;
+ } catch (NumberFormatException e) {
+ throw new SQLException("Cannot convert value to boolean: " + value, e);
+ }
+ }
+
+ private Number asNumber(final Object value) throws SQLException {
+ if (value == null) {
+ return 0;
+ }
+ if (value instanceof Number) {
+ return (Number) value;
+ }
+ if (value instanceof Boolean) {
+ return (Boolean) value ? 1 : 0;
+ }
+ try {
+ return new BigDecimal(String.valueOf(value));
+ } catch (NumberFormatException e) {
+ throw new SQLException("Cannot convert value to number: " + value, e);
+ }
+ }
+
+ private BigDecimal asBigDecimal(final Object value) throws SQLException {
+ if (value == null) {
+ return null;
+ }
+ if (value instanceof BigDecimal) {
+ return (BigDecimal) value;
+ }
+ if (value instanceof Number || value instanceof Boolean || value instanceof String) {
+ return new BigDecimal(String.valueOf(this.asNumber(value)));
+ }
+ throw new SQLException("Cannot convert value to BigDecimal: " + value);
+ }
+
+ private BigDecimal asBoundedIntegral(
+ final Object value,
+ final long minimum,
+ final long maximum,
+ final String targetName
+ ) throws SQLException {
+ final BigDecimal decimal = this.asBigDecimal(value);
+ if (decimal == null) {
+ return BigDecimal.ZERO;
+ }
+ if (decimal.compareTo(BigDecimal.valueOf(minimum)) < 0
+ || decimal.compareTo(BigDecimal.valueOf(maximum)) > 0) {
+ throw new SQLException("Numeric value is outside the " + targetName + " range: " + value);
+ }
+ return decimal;
+ }
+
+ private float asFloat(final Object value) throws SQLException {
+ if (value == null) {
+ return 0F;
+ }
+ final float converted = this.asNumber(value).floatValue();
+ if (!Float.isFinite(converted)) {
+ throw new SQLException("Numeric value is outside the float range: " + value);
+ }
+ return converted;
+ }
+
+ private double asDouble(final Object value) throws SQLException {
+ if (value == null) {
+ return 0D;
+ }
+ final double converted = this.asNumber(value).doubleValue();
+ if (!Double.isFinite(converted)) {
+ throw new SQLException("Numeric value is outside the double range: " + value);
+ }
+ return converted;
+ }
+
+ private byte[] asBytes(final Object value) throws SQLException {
+ if (value == null) {
+ return null;
+ }
+ if (value instanceof byte[]) {
+ return ((byte[]) value).clone();
+ }
+ return String.valueOf(value).getBytes(StandardCharsets.UTF_8);
+ }
+
+ private java.io.InputStream asAsciiStream(final Object value) {
+ final String text = this.asString(value);
+ return text == null
+ ? null
+ : new java.io.ByteArrayInputStream(text.getBytes(StandardCharsets.US_ASCII));
+ }
+
+ private java.io.InputStream asBinaryStream(final Object value) throws SQLException {
+ final byte[] bytes = this.asBytes(value);
+ return bytes == null ? null : new java.io.ByteArrayInputStream(bytes);
+ }
+
+ private java.io.InputStream asUnicodeStream(final Object value) {
+ final String text = this.asString(value);
+ return text == null
+ ? null
+ : new java.io.ByteArrayInputStream(text.getBytes(StandardCharsets.UTF_8));
+ }
+
+ private java.io.Reader asCharacterStream(final Object value) {
+ final String text = this.asString(value);
+ return text == null ? null : new java.io.StringReader(text);
+ }
+
+ private Date asDate(final Object value, final Calendar calendar) throws SQLException {
+ if (value == null) {
+ return null;
+ }
+ if (value instanceof Date) {
+ return new Date(((Date) value).getTime());
+ }
+ if (value instanceof LocalDate) {
+ return this.dateFromLocalDate((LocalDate) value, calendar);
+ }
+ if (value instanceof LocalDateTime) {
+ return this.dateFromLocalDate(((LocalDateTime) value).toLocalDate(), calendar);
+ }
+ if (value instanceof java.util.Date) {
+ return new Date(((java.util.Date) value).getTime());
+ }
+ if (value instanceof Number) {
+ final long numericValue = ((Number) value).longValue();
+ if (Math.abs(numericValue) < 10_000_000L) {
+ return this.dateFromLocalDate(LocalDate.ofEpochDay(numericValue), calendar);
+ }
+ return new Date(numericValue);
+ }
+ try {
+ final String text = String.valueOf(value).trim();
+ final int timeSeparator = text.indexOf(' ');
+ final int isoSeparator = text.indexOf('T');
+ final int separator = timeSeparator >= 0 ? timeSeparator : isoSeparator;
+ return this.dateFromLocalDate(
+ LocalDate.parse(separator >= 0 ? text.substring(0, separator) : text),
+ calendar
+ );
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to Date: " + value, e);
+ }
+ }
+
+ private Time asTime(final Object value, final Calendar calendar) throws SQLException {
+ if (value == null) {
+ return null;
+ }
+ if (value instanceof Time) {
+ return new Time(((Time) value).getTime());
+ }
+ if (value instanceof LocalTime) {
+ return this.timeFromLocalTime((LocalTime) value, calendar);
+ }
+ if (value instanceof OffsetTime) {
+ return this.timeFromLocalTime(((OffsetTime) value).toLocalTime(), calendar);
+ }
+ if (value instanceof LocalDateTime) {
+ return this.timeFromLocalTime(((LocalDateTime) value).toLocalTime(), calendar);
+ }
+ if (value instanceof java.util.Date) {
+ return new Time(((java.util.Date) value).getTime());
+ }
+ if (value instanceof Number) {
+ return new Time(((Number) value).longValue());
+ }
+ try {
+ String text = String.valueOf(value).trim();
+ final int dateSeparator = text.indexOf('T');
+ if (dateSeparator >= 0) {
+ text = text.substring(dateSeparator + 1);
+ } else if (text.indexOf(' ') >= 0) {
+ text = text.substring(text.indexOf(' ') + 1);
+ }
+ return this.timeFromLocalTime(LocalTime.parse(text), calendar);
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to Time: " + value, e);
+ }
+ }
+
+ private Timestamp asTimestamp(final Object value, final Calendar calendar) throws SQLException {
+ if (value == null) {
+ return null;
+ }
+ if (value instanceof Timestamp) {
+ final Timestamp timestamp = new Timestamp(((Timestamp) value).getTime());
+ timestamp.setNanos(((Timestamp) value).getNanos());
+ return timestamp;
+ }
+ if (value instanceof LocalDateTime) {
+ return this.timestampFromLocalDateTime((LocalDateTime) value, calendar);
+ }
+ if (value instanceof LocalDate) {
+ return this.timestampFromLocalDateTime(
+ ((LocalDate) value).atStartOfDay(),
+ calendar
+ );
+ }
+ if (value instanceof OffsetDateTime) {
+ return Timestamp.from(((OffsetDateTime) value).toInstant());
+ }
+ if (value instanceof Instant) {
+ return Timestamp.from((Instant) value);
+ }
+ if (value instanceof java.util.Date) {
+ return new Timestamp(((java.util.Date) value).getTime());
+ }
+ if (value instanceof Number) {
+ return new Timestamp(((Number) value).longValue());
+ }
+ try {
+ final String text = String.valueOf(value).trim();
+ try {
+ return Timestamp.from(Instant.parse(text));
+ } catch (RuntimeException ignored) {
+ return this.timestampFromLocalDateTime(
+ LocalDateTime.parse(text.replace(' ', 'T')),
+ calendar
+ );
+ }
+ } catch (RuntimeException e) {
+ throw new SQLException("Cannot convert value to Timestamp: " + value, e);
+ }
+ }
+
+ private Date dateFromLocalDate(final LocalDate value, final Calendar calendar) {
+ if (calendar == null) {
+ return Date.valueOf(value);
+ }
+ final Calendar copy = (Calendar) calendar.clone();
+ copy.clear();
+ copy.set(value.getYear(), value.getMonthValue() - 1, value.getDayOfMonth());
+ return new Date(copy.getTimeInMillis());
+ }
+
+ private Time timeFromLocalTime(final LocalTime value, final Calendar calendar) {
+ if (calendar == null) {
+ return Time.valueOf(value);
+ }
+ final Calendar copy = (Calendar) calendar.clone();
+ copy.clear();
+ copy.set(1970, Calendar.JANUARY, 1, value.getHour(), value.getMinute(), value.getSecond());
+ copy.set(Calendar.MILLISECOND, value.getNano() / 1_000_000);
+ return new Time(copy.getTimeInMillis());
+ }
+
+ private Timestamp timestampFromLocalDateTime(
+ final LocalDateTime value,
+ final Calendar calendar
+ ) {
+ if (calendar == null) {
+ return Timestamp.valueOf(value);
+ }
+ final Calendar copy = (Calendar) calendar.clone();
+ copy.clear();
+ copy.set(
+ value.getYear(),
+ value.getMonthValue() - 1,
+ value.getDayOfMonth(),
+ value.getHour(),
+ value.getMinute(),
+ value.getSecond()
+ );
+ final Timestamp timestamp = new Timestamp(copy.getTimeInMillis());
+ timestamp.setNanos(value.getNano());
+ return timestamp;
+ }
+
+ private URL asUrl(final Object value) throws SQLException {
+ if (value == null) {
+ return null;
+ }
+ if (value instanceof URL) {
+ return (URL) value;
+ }
+ try {
+ return new URL(String.valueOf(value));
+ } catch (MalformedURLException e) {
+ throw new SQLException("Cannot convert value to URL: " + value, e);
+ }
+ }
+
+ private Object unsupportedValue(final String message) throws SQLFeatureNotSupportedException {
+ throw this.unsupported(message);
+ }
+
+ private Object unwrap(final Object proxy, final Class iface) throws SQLException {
+ if (iface == null) {
+ throw new SQLException("Wrapper interface must not be null.");
+ }
+ if (iface.isInstance(proxy)) {
+ return iface.cast(proxy);
+ }
+ throw new SQLException("ResultSet does not wrap " + iface.getName());
+ }
+
+ private boolean isWrapperFor(final Object proxy, final Class iface) throws SQLException {
+ if (iface == null) {
+ throw new SQLException("Wrapper interface must not be null.");
+ }
+ return iface.isInstance(proxy);
+ }
+
+ private void ensureOpen() throws SQLException {
+ if (this.isEffectivelyClosed()) {
+ throw new SQLException("Wayang JDBC result set is closed.", "24000");
+ }
+ }
+
+ private boolean isEffectivelyClosed() {
+ return this.closed || this.statement.isClosed();
+ }
+
+ private Calendar calendarArg(final Object[] args) throws SQLException {
+ if (args.length == 1) {
+ return null;
+ }
+ if (!(args[1] instanceof Calendar)) {
+ throw new SQLException("Calendar must not be null.");
+ }
+ return (Calendar) args[1];
+ }
+
+ private void setFetchSize(final int fetchSize) throws SQLException {
+ if (fetchSize < 0) {
+ throw new SQLException("Fetch size must not be negative.");
+ }
+ if (this.maxRows > 0 && fetchSize > this.maxRows) {
+ throw new SQLException("Fetch size must not exceed the maximum row limit.");
+ }
+ this.fetchSize = fetchSize;
+ }
+
+ private void validateFetchDirection(final int direction) throws SQLException {
+ if (direction != ResultSet.FETCH_FORWARD
+ && direction != ResultSet.FETCH_REVERSE
+ && direction != ResultSet.FETCH_UNKNOWN) {
+ throw new SQLException("Invalid fetch direction: " + direction);
+ }
+ }
+
+ private void validateInitialResponse(final QueryResultResponse response) throws SQLException {
+ if (response == null) {
+ throw this.protocolError("Wayang JDBC server returned a null query response.");
+ }
+ if (!this.client.getConnectionId().equals(response.getConnectionId())) {
+ throw this.protocolError("Query response connection id does not match the open connection.");
+ }
+ if (!this.statement.getStatementId().equals(response.getStatementId())) {
+ throw this.protocolError("Query response statement id does not match the executing statement.");
+ }
+ final String responseCursorId = this.normalizeCursorId(response.getCursorId());
+ if (response.isHasMoreRows() && responseCursorId == null) {
+ throw this.protocolError("Query response reported more rows without a cursor id.");
+ }
+ if (!response.isHasMoreRows() && responseCursorId != null) {
+ throw this.protocolError("Query response returned a cursor id without more rows.");
+ }
+ if (response.isHasMoreRows()
+ && response.getRows() != null
+ && response.getRows().isEmpty()) {
+ throw this.protocolError("Query response reported more rows but returned an empty first batch.");
+ }
+ if (this.fetchSize < 0 || this.maxRows < 0) {
+ throw new SQLException("Fetch size and maximum rows must not be negative.");
+ }
+ }
+
+ private String normalizeCursorId(final String value) {
+ return value == null || value.isBlank() ? null : value;
+ }
+
+ private void closeCursorAfterProtocolFailure(final SQLException failure) {
+ try {
+ this.closeCursorIfOpen();
+ } catch (SQLException closeException) {
+ failure.addSuppressed(closeException);
+ }
+ }
+
+ private boolean isWriteMethod(final String methodName) {
+ return methodName.startsWith("update")
+ || "insertRow".equals(methodName)
+ || "deleteRow".equals(methodName)
+ || "refreshRow".equals(methodName)
+ || "cancelRowUpdates".equals(methodName)
+ || "moveToInsertRow".equals(methodName)
+ || "moveToCurrentRow".equals(methodName);
+ }
+
+ private SQLException protocolError(final String message) {
+ return new SQLException(message, "08S01");
+ }
+
+ private SQLFeatureNotSupportedException unsupported(final String message) {
+ return new SQLFeatureNotSupportedException(message, "0A000");
+ }
+
+ private enum CursorState {
+ BEFORE_FIRST,
+ ON_ROW,
+ AFTER_LAST,
+ EMPTY
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangResultSetMetaData.java b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangResultSetMetaData.java
new file mode 100644
index 000000000..1da712cb2
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangResultSetMetaData.java
@@ -0,0 +1,265 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+
+import java.sql.ResultSetMetaData;
+import java.sql.SQLException;
+import java.sql.Types;
+import java.util.List;
+
+class WayangResultSetMetaData implements ResultSetMetaData {
+
+ private final List columns;
+
+ WayangResultSetMetaData(final List columns) {
+ this.columns = List.copyOf(columns);
+ }
+
+ @Override
+ public int getColumnCount() {
+ return this.columns.size();
+ }
+
+ @Override
+ public boolean isAutoIncrement(final int column) throws SQLException {
+ this.column(column);
+ return false;
+ }
+
+ @Override
+ public boolean isCaseSensitive(final int column) throws SQLException {
+ switch (this.column(column).getJdbcType()) {
+ case Types.CHAR:
+ case Types.CLOB:
+ case Types.LONGNVARCHAR:
+ case Types.LONGVARCHAR:
+ case Types.NCHAR:
+ case Types.NCLOB:
+ case Types.NVARCHAR:
+ case Types.VARCHAR:
+ return true;
+ default:
+ return false;
+ }
+ }
+
+ @Override
+ public boolean isSearchable(final int column) throws SQLException {
+ this.column(column);
+ return true;
+ }
+
+ @Override
+ public boolean isCurrency(final int column) throws SQLException {
+ this.column(column);
+ return false;
+ }
+
+ @Override
+ public int isNullable(final int column) throws SQLException {
+ return this.column(column).getNullable();
+ }
+
+ @Override
+ public boolean isSigned(final int column) throws SQLException {
+ switch (this.column(column).getJdbcType()) {
+ case Types.BIGINT:
+ case Types.DECIMAL:
+ case Types.DOUBLE:
+ case Types.FLOAT:
+ case Types.INTEGER:
+ case Types.NUMERIC:
+ case Types.REAL:
+ case Types.SMALLINT:
+ case Types.TINYINT:
+ return true;
+ default:
+ return false;
+ }
+ }
+
+ @Override
+ public int getColumnDisplaySize(final int column) throws SQLException {
+ final int precision = this.column(column).getPrecision();
+ return precision > 0 ? precision : 255;
+ }
+
+ @Override
+ public String getColumnLabel(final int column) throws SQLException {
+ final ColumnInfo columnInfo = this.column(column);
+ return columnInfo.getColumnLabel() != null ? columnInfo.getColumnLabel() : columnInfo.getColumnName();
+ }
+
+ @Override
+ public String getColumnName(final int column) throws SQLException {
+ return this.column(column).getColumnName();
+ }
+
+ @Override
+ public String getSchemaName(final int column) throws SQLException {
+ final String schemaName = this.column(column).getSchemaName();
+ return schemaName == null ? "" : schemaName;
+ }
+
+ @Override
+ public int getPrecision(final int column) throws SQLException {
+ return Math.max(0, this.column(column).getPrecision());
+ }
+
+ @Override
+ public int getScale(final int column) throws SQLException {
+ return Math.max(0, this.column(column).getScale());
+ }
+
+ @Override
+ public String getTableName(final int column) throws SQLException {
+ final String tableName = this.column(column).getTableName();
+ return tableName == null ? "" : tableName;
+ }
+
+ @Override
+ public String getCatalogName(final int column) throws SQLException {
+ this.column(column);
+ return "";
+ }
+
+ @Override
+ public int getColumnType(final int column) throws SQLException {
+ return this.column(column).getJdbcType();
+ }
+
+ @Override
+ public String getColumnTypeName(final int column) throws SQLException {
+ final String typeName = this.column(column).getTypeName();
+ return typeName == null ? "" : typeName;
+ }
+
+ @Override
+ public boolean isReadOnly(final int column) throws SQLException {
+ this.column(column);
+ return true;
+ }
+
+ @Override
+ public boolean isWritable(final int column) throws SQLException {
+ this.column(column);
+ return false;
+ }
+
+ @Override
+ public boolean isDefinitelyWritable(final int column) throws SQLException {
+ this.column(column);
+ return false;
+ }
+
+ @Override
+ public String getColumnClassName(final int column) throws SQLException {
+ switch (this.column(column).getJdbcType()) {
+ case Types.BIGINT:
+ return Long.class.getName();
+ case Types.BIT:
+ case Types.BOOLEAN:
+ return Boolean.class.getName();
+ case Types.BINARY:
+ case Types.LONGVARBINARY:
+ case Types.VARBINARY:
+ return byte[].class.getName();
+ case Types.BLOB:
+ return java.sql.Blob.class.getName();
+ case Types.CHAR:
+ case Types.CLOB:
+ case Types.LONGNVARCHAR:
+ case Types.LONGVARCHAR:
+ case Types.NCHAR:
+ case Types.NCLOB:
+ case Types.NVARCHAR:
+ case Types.VARCHAR:
+ return String.class.getName();
+ case Types.DATE:
+ return java.sql.Date.class.getName();
+ case Types.DECIMAL:
+ case Types.NUMERIC:
+ return java.math.BigDecimal.class.getName();
+ case Types.DOUBLE:
+ case Types.FLOAT:
+ return Double.class.getName();
+ case Types.INTEGER:
+ return Integer.class.getName();
+ case Types.REAL:
+ return Float.class.getName();
+ case Types.SMALLINT:
+ return Short.class.getName();
+ case Types.TIME:
+ return java.sql.Time.class.getName();
+ case Types.TIME_WITH_TIMEZONE:
+ return java.time.OffsetTime.class.getName();
+ case Types.TIMESTAMP:
+ return java.sql.Timestamp.class.getName();
+ case Types.TIMESTAMP_WITH_TIMEZONE:
+ return java.time.OffsetDateTime.class.getName();
+ case Types.TINYINT:
+ return Byte.class.getName();
+ case Types.ARRAY:
+ return java.sql.Array.class.getName();
+ case Types.DATALINK:
+ return java.net.URL.class.getName();
+ case Types.REF:
+ return java.sql.Ref.class.getName();
+ case Types.ROWID:
+ return java.sql.RowId.class.getName();
+ case Types.SQLXML:
+ return java.sql.SQLXML.class.getName();
+ case Types.STRUCT:
+ return java.sql.Struct.class.getName();
+ case Types.JAVA_OBJECT:
+ case Types.NULL:
+ case Types.OTHER:
+ return Object.class.getName();
+ default:
+ return String.class.getName();
+ }
+ }
+
+ @Override
+ public T unwrap(final Class iface) throws SQLException {
+ if (iface == null) {
+ throw new SQLException("Interface must not be null.", "HY009");
+ }
+ if (iface.isInstance(this)) {
+ return iface.cast(this);
+ }
+ throw new SQLException("ResultSetMetaData does not wrap " + iface.getName());
+ }
+
+ @Override
+ public boolean isWrapperFor(final Class iface) throws SQLException {
+ if (iface == null) {
+ throw new SQLException("Interface must not be null.", "HY009");
+ }
+ return iface.isInstance(this);
+ }
+
+ private ColumnInfo column(final int column) throws SQLException {
+ if (column < 1 || column > this.columns.size()) {
+ throw new SQLException("Column index out of bounds: " + column);
+ }
+ return this.columns.get(column - 1);
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangStatement.java b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangStatement.java
new file mode 100644
index 000000000..59f1a4e8b
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/java/org/apache/wayang/jdbc/driver/WayangStatement.java
@@ -0,0 +1,502 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import org.apache.wayang.jdbc.protocol.message.QueryResultResponse;
+
+import java.sql.Connection;
+import java.sql.ResultSet;
+import java.sql.SQLException;
+import java.sql.SQLFeatureNotSupportedException;
+import java.sql.SQLWarning;
+import java.sql.Statement;
+import java.util.UUID;
+
+class WayangStatement implements Statement {
+
+ private final WayangConnection connection;
+
+ private final WayangJdbcClient client;
+
+ private final String statementId;
+
+ private int fetchSize;
+
+ private int maxRows;
+
+ private boolean poolable;
+
+ private boolean closeOnCompletion;
+
+ private volatile boolean closed;
+
+ private ResultSet currentResultSet;
+
+ WayangStatement(
+ final WayangConnection connection,
+ final WayangJdbcClient client
+ ) {
+ if (connection == null) {
+ throw new IllegalArgumentException("Connection must not be null.");
+ }
+ if (client == null) {
+ throw new IllegalArgumentException("JDBC client must not be null.");
+ }
+ this.connection = connection;
+ this.client = client;
+ this.statementId = UUID.randomUUID().toString();
+ }
+
+ String getStatementId() {
+ return this.statementId;
+ }
+
+ @Override
+ public ResultSet executeQuery(final String sql) throws SQLException {
+ this.ensureOpen();
+ this.closeCurrentResultSet();
+ this.ensureOpen();
+
+ final QueryResultResponse response = this.client.executeQuery(this.statementId, sql, this.fetchSize);
+ try {
+ this.currentResultSet = WayangResultSet.create(
+ this,
+ this.client,
+ response,
+ this.fetchSize,
+ this.maxRows
+ );
+ } catch (SQLException e) {
+ this.closeResponseCursor(response, e);
+ throw e;
+ }
+ return this.currentResultSet;
+ }
+
+ @Override
+ public boolean execute(final String sql) throws SQLException {
+ this.executeQuery(sql);
+ return true;
+ }
+
+ @Override
+ public void close() throws SQLException {
+ if (this.closed) {
+ return;
+ }
+ this.closed = true;
+ SQLException failure = null;
+ try {
+ this.closeCurrentResultSet();
+ } catch (SQLException e) {
+ failure = e;
+ } finally {
+ this.connection.statementClosed(this);
+ }
+ if (failure != null) {
+ throw failure;
+ }
+ }
+
+ @Override
+ public int getMaxFieldSize() throws SQLException {
+ this.ensureOpen();
+ return 0;
+ }
+
+ @Override
+ public void setMaxFieldSize(final int max) throws SQLException {
+ this.ensureOpen();
+ if (max < 0) {
+ throw new SQLException("Maximum field size must not be negative.");
+ }
+ if (max > 0) {
+ throw this.unsupported("Maximum field size limiting is not supported.");
+ }
+ }
+
+ @Override
+ public int getMaxRows() throws SQLException {
+ this.ensureOpen();
+ return this.maxRows;
+ }
+
+ @Override
+ public void setMaxRows(final int max) throws SQLException {
+ this.ensureOpen();
+ if (max < 0) {
+ throw new SQLException("Maximum rows must not be negative.");
+ }
+ this.maxRows = max;
+ }
+
+ @Override
+ public void setEscapeProcessing(final boolean enable) throws SQLException {
+ this.ensureOpen();
+ if (enable) {
+ throw this.unsupported("JDBC escape processing is not supported.");
+ }
+ }
+
+ @Override
+ public int getQueryTimeout() throws SQLException {
+ this.ensureOpen();
+ return 0;
+ }
+
+ @Override
+ public void setQueryTimeout(final int seconds) throws SQLException {
+ this.ensureOpen();
+ if (seconds < 0) {
+ throw new SQLException("Query timeout must not be negative.");
+ }
+ if (seconds > 0) {
+ throw this.unsupported("Query timeouts are not supported.");
+ }
+ }
+
+ @Override
+ public void cancel() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Query cancellation is not supported.");
+ }
+
+ @Override
+ public SQLWarning getWarnings() throws SQLException {
+ this.ensureOpen();
+ return null;
+ }
+
+ @Override
+ public void clearWarnings() throws SQLException {
+ this.ensureOpen();
+ }
+
+ @Override
+ public void setCursorName(final String name) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Named cursors are not supported.");
+ }
+
+ @Override
+ public ResultSet getResultSet() throws SQLException {
+ this.ensureOpen();
+ return this.currentResultSet;
+ }
+
+ @Override
+ public int getUpdateCount() throws SQLException {
+ this.ensureOpen();
+ return -1;
+ }
+
+ @Override
+ public boolean getMoreResults() throws SQLException {
+ this.ensureOpen();
+ this.closeCurrentResultSet();
+ return false;
+ }
+
+ @Override
+ public boolean getMoreResults(final int current) throws SQLException {
+ this.ensureOpen();
+ if (current == Statement.CLOSE_CURRENT_RESULT || current == Statement.CLOSE_ALL_RESULTS) {
+ this.closeCurrentResultSet();
+ } else if (current != Statement.KEEP_CURRENT_RESULT) {
+ throw new SQLException("Unsupported getMoreResults option: " + current);
+ }
+ return false;
+ }
+
+ @Override
+ public void setFetchDirection(final int direction) throws SQLException {
+ this.ensureOpen();
+ if (direction != ResultSet.FETCH_FORWARD
+ && direction != ResultSet.FETCH_REVERSE
+ && direction != ResultSet.FETCH_UNKNOWN) {
+ throw new SQLException("Invalid fetch direction: " + direction);
+ }
+ if (direction != ResultSet.FETCH_FORWARD) {
+ throw this.unsupported("Wayang JDBC supports only forward fetch direction.");
+ }
+ }
+
+ @Override
+ public int getFetchDirection() throws SQLException {
+ this.ensureOpen();
+ return ResultSet.FETCH_FORWARD;
+ }
+
+ @Override
+ public void setFetchSize(final int rows) throws SQLException {
+ this.ensureOpen();
+ if (rows < 0) {
+ throw new SQLException("Fetch size must not be negative.");
+ }
+ if (this.maxRows > 0 && rows > this.maxRows) {
+ throw new SQLException("Fetch size must not exceed the maximum row limit.");
+ }
+ this.fetchSize = rows;
+ }
+
+ @Override
+ public int getFetchSize() throws SQLException {
+ this.ensureOpen();
+ return this.fetchSize;
+ }
+
+ @Override
+ public int getResultSetConcurrency() throws SQLException {
+ this.ensureOpen();
+ return ResultSet.CONCUR_READ_ONLY;
+ }
+
+ @Override
+ public int getResultSetType() throws SQLException {
+ this.ensureOpen();
+ return ResultSet.TYPE_FORWARD_ONLY;
+ }
+
+ @Override
+ public int getResultSetHoldability() throws SQLException {
+ this.ensureOpen();
+ return ResultSet.CLOSE_CURSORS_AT_COMMIT;
+ }
+
+ @Override
+ public Connection getConnection() throws SQLException {
+ this.ensureOpen();
+ return this.connection;
+ }
+
+ @Override
+ public boolean isClosed() {
+ return this.closed || this.connection.isClosed();
+ }
+
+ @Override
+ public void setPoolable(final boolean poolable) throws SQLException {
+ this.ensureOpen();
+ this.poolable = poolable;
+ }
+
+ @Override
+ public boolean isPoolable() throws SQLException {
+ this.ensureOpen();
+ return this.poolable;
+ }
+
+ @Override
+ public void closeOnCompletion() throws SQLException {
+ this.ensureOpen();
+ this.closeOnCompletion = true;
+ }
+
+ @Override
+ public boolean isCloseOnCompletion() throws SQLException {
+ this.ensureOpen();
+ return this.closeOnCompletion;
+ }
+
+ @Override
+ public ResultSet getGeneratedKeys() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Generated keys are not supported.");
+ }
+
+ @Override
+ public int executeUpdate(final String sql) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Wayang JDBC is read-only and does not support updates.");
+ }
+
+ @Override
+ public int executeUpdate(final String sql, final int autoGeneratedKeys) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Wayang JDBC is read-only and does not support updates.");
+ }
+
+ @Override
+ public int executeUpdate(final String sql, final int[] columnIndexes) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Wayang JDBC is read-only and does not support updates.");
+ }
+
+ @Override
+ public int executeUpdate(final String sql, final String[] columnNames) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Wayang JDBC is read-only and does not support updates.");
+ }
+
+ @Override
+ public boolean execute(final String sql, final int autoGeneratedKeys) throws SQLException {
+ this.ensureOpen();
+ if (autoGeneratedKeys == Statement.NO_GENERATED_KEYS) {
+ return this.execute(sql);
+ }
+ if (autoGeneratedKeys == Statement.RETURN_GENERATED_KEYS) {
+ throw this.unsupported("Generated keys are not supported.");
+ }
+ throw new SQLException("Invalid auto-generated keys option: " + autoGeneratedKeys);
+ }
+
+ @Override
+ public boolean execute(final String sql, final int[] columnIndexes) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Generated keys are not supported.");
+ }
+
+ @Override
+ public boolean execute(final String sql, final String[] columnNames) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Generated keys are not supported.");
+ }
+
+ @Override
+ public void addBatch(final String sql) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Batch execution is not supported.");
+ }
+
+ @Override
+ public void clearBatch() throws SQLException {
+ this.ensureOpen();
+ }
+
+ @Override
+ public int[] executeBatch() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Batch execution is not supported.");
+ }
+
+ @Override
+ public long getLargeUpdateCount() throws SQLException {
+ this.ensureOpen();
+ return -1L;
+ }
+
+ @Override
+ public void setLargeMaxRows(final long max) throws SQLException {
+ this.ensureOpen();
+ if (max < 0L || max > Integer.MAX_VALUE) {
+ throw new SQLException("Large maximum rows must be between 0 and " + Integer.MAX_VALUE + ".");
+ }
+ this.maxRows = (int) max;
+ }
+
+ @Override
+ public long getLargeMaxRows() throws SQLException {
+ this.ensureOpen();
+ return this.maxRows;
+ }
+
+ @Override
+ public long[] executeLargeBatch() throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Batch execution is not supported.");
+ }
+
+ @Override
+ public long executeLargeUpdate(final String sql) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Wayang JDBC is read-only and does not support updates.");
+ }
+
+ @Override
+ public long executeLargeUpdate(final String sql, final int autoGeneratedKeys) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Wayang JDBC is read-only and does not support updates.");
+ }
+
+ @Override
+ public long executeLargeUpdate(final String sql, final int[] columnIndexes) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Wayang JDBC is read-only and does not support updates.");
+ }
+
+ @Override
+ public long executeLargeUpdate(final String sql, final String[] columnNames) throws SQLException {
+ this.ensureOpen();
+ throw this.unsupported("Wayang JDBC is read-only and does not support updates.");
+ }
+
+ @Override
+ public T unwrap(final Class iface) throws SQLException {
+ this.ensureOpen();
+ if (iface == null) {
+ throw new SQLException("Wrapper interface must not be null.");
+ }
+ if (iface.isInstance(this)) {
+ return iface.cast(this);
+ }
+ throw new SQLException("Statement does not wrap " + iface.getName());
+ }
+
+ @Override
+ public boolean isWrapperFor(final Class iface) throws SQLException {
+ this.ensureOpen();
+ if (iface == null) {
+ throw new SQLException("Wrapper interface must not be null.");
+ }
+ return iface.isInstance(this);
+ }
+
+ void resultSetClosed(final ResultSet resultSet) throws SQLException {
+ if (this.currentResultSet == resultSet) {
+ this.currentResultSet = null;
+ if (this.closeOnCompletion && !this.closed) {
+ this.close();
+ }
+ }
+ }
+
+ private void closeCurrentResultSet() throws SQLException {
+ final ResultSet resultSet = this.currentResultSet;
+ if (resultSet != null) {
+ resultSet.close();
+ }
+ this.currentResultSet = null;
+ }
+
+ private void closeResponseCursor(
+ final QueryResultResponse response,
+ final SQLException failure
+ ) {
+ if (response == null
+ || response.getCursorId() == null
+ || response.getCursorId().isBlank()
+ || this.client.isClosed()) {
+ return;
+ }
+ try {
+ this.client.closeCursor(this.statementId, response.getCursorId());
+ } catch (SQLException closeException) {
+ failure.addSuppressed(closeException);
+ }
+ }
+
+ private void ensureOpen() throws SQLException {
+ if (this.isClosed()) {
+ throw new SQLException("Wayang JDBC statement is closed.", "07000");
+ }
+ }
+
+ private SQLFeatureNotSupportedException unsupported(final String message) {
+ return new SQLFeatureNotSupportedException(message, "0A000");
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/main/resources/META-INF/services/java.sql.Driver b/wayang-jdbc/wayang-jdbc-client/src/main/resources/META-INF/services/java.sql.Driver
new file mode 100644
index 000000000..c427b237f
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/main/resources/META-INF/services/java.sql.Driver
@@ -0,0 +1,16 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to you under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+org.apache.wayang.jdbc.driver.WayangDriver
diff --git a/wayang-jdbc/wayang-jdbc-client/src/test/java/org/apache/wayang/jdbc/driver/WayangJdbcClientProtocolTest.java b/wayang-jdbc/wayang-jdbc-client/src/test/java/org/apache/wayang/jdbc/driver/WayangJdbcClientProtocolTest.java
new file mode 100644
index 000000000..02eea8702
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/test/java/org/apache/wayang/jdbc/driver/WayangJdbcClientProtocolTest.java
@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import org.apache.wayang.jdbc.protocol.MessageEnvelope;
+import org.apache.wayang.jdbc.protocol.MessageType;
+import org.apache.wayang.jdbc.protocol.io.ProtocolMessageCodec;
+import org.apache.wayang.jdbc.protocol.message.CloseConnectionRequest;
+import org.apache.wayang.jdbc.protocol.message.CloseConnectionResponse;
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+import org.apache.wayang.jdbc.protocol.message.ErrorCode;
+import org.apache.wayang.jdbc.protocol.message.ErrorResponse;
+import org.apache.wayang.jdbc.protocol.message.ExecuteQueryRequest;
+import org.apache.wayang.jdbc.protocol.message.OpenConnectionResponse;
+import org.apache.wayang.jdbc.protocol.message.PingResponse;
+import org.apache.wayang.jdbc.protocol.message.QueryResultResponse;
+
+import org.junit.jupiter.api.Test;
+
+import java.io.IOException;
+import java.net.ServerSocket;
+import java.net.Socket;
+import java.net.SocketException;
+import java.sql.ResultSetMetaData;
+import java.sql.SQLException;
+import java.sql.SQLFeatureNotSupportedException;
+import java.sql.Types;
+import java.util.Collections;
+import java.util.List;
+import java.util.Properties;
+import java.util.concurrent.atomic.AtomicReference;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertThrows;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+class WayangJdbcClientProtocolTest {
+
+ @Test
+ void mismatchedResponseRequestIdMarksClientClosed() throws Exception {
+ try (ScriptedServer server = new ScriptedServer(exchange -> {
+ if (exchange.request.getType() == MessageType.OPEN_CONNECTION) {
+ exchange.respond(MessageType.OPEN_CONNECTION_OK, openConnectionResponse());
+ } else if (exchange.request.getType() == MessageType.EXECUTE_QUERY) {
+ final ExecuteQueryRequest request = exchange.payloadAs(ExecuteQueryRequest.class);
+ exchange.respond(
+ "different-request-id",
+ MessageType.QUERY_RESULT,
+ queryResultResponse(request.getConnectionId(), request.getStatementId())
+ );
+ }
+ });
+ WayangJdbcClient client = new WayangJdbcClient(jdbcUrl(server))) {
+
+ final SQLException exception = assertThrows(
+ SQLException.class,
+ () -> client.executeQuery("statement-1", "SELECT 1", 1)
+ );
+
+ assertEquals("08S01", exception.getSQLState());
+ assertTrue(client.isClosed());
+ }
+ }
+
+ @Test
+ void unsupportedServerErrorBecomesFeatureNotSupportedAndKeepsSocketUsable() throws Exception {
+ try (ScriptedServer server = new ScriptedServer(exchange -> {
+ if (exchange.request.getType() == MessageType.OPEN_CONNECTION) {
+ exchange.respond(MessageType.OPEN_CONNECTION_OK, openConnectionResponse());
+ } else if (exchange.request.getType() == MessageType.EXECUTE_QUERY) {
+ exchange.respond(
+ MessageType.ERROR,
+ new ErrorResponse(
+ ErrorCode.UNSUPPORTED_OPERATION,
+ "0A000",
+ 1003,
+ "Wayang JDBC is read-only.",
+ null,
+ null
+ )
+ );
+ } else if (exchange.request.getType() == MessageType.PING) {
+ exchange.respond(MessageType.PING_OK, new PingResponse("connection-1"));
+ } else if (exchange.request.getType() == MessageType.CLOSE_CONNECTION) {
+ final CloseConnectionRequest request = exchange.payloadAs(CloseConnectionRequest.class);
+ exchange.respond(
+ MessageType.CLOSE_CONNECTION_OK,
+ new CloseConnectionResponse(request.getConnectionId())
+ );
+ }
+ });
+ WayangJdbcClient client = new WayangJdbcClient(jdbcUrl(server))) {
+
+ final SQLFeatureNotSupportedException exception = assertThrows(
+ SQLFeatureNotSupportedException.class,
+ () -> client.executeQuery("statement-1", "INSERT INTO t VALUES (1)", 1)
+ );
+
+ assertEquals("0A000", exception.getSQLState());
+ assertFalse(client.isClosed());
+ assertTrue(client.ping(1));
+ }
+ }
+
+ @Test
+ void serverEofMarksClientClosed() throws Exception {
+ try (ScriptedServer server = new ScriptedServer(exchange -> {
+ if (exchange.request.getType() == MessageType.OPEN_CONNECTION) {
+ exchange.respond(MessageType.OPEN_CONNECTION_OK, openConnectionResponse());
+ } else if (exchange.request.getType() == MessageType.PING) {
+ exchange.closeSocket();
+ }
+ });
+ WayangJdbcClient client = new WayangJdbcClient(jdbcUrl(server))) {
+
+ final SQLException exception = assertThrows(SQLException.class, () -> client.ping(1));
+
+ assertEquals("08006", exception.getSQLState());
+ assertTrue(client.isClosed());
+ }
+ }
+
+ private static WayangJdbcUrl jdbcUrl(final ScriptedServer server) throws SQLException {
+ final Properties properties = new Properties();
+ properties.setProperty("connectTimeout", "2000");
+ return WayangJdbcUrl.parse("jdbc:wayang://127.0.0.1:" + server.getPort() + "/analytics", properties);
+ }
+
+ private static OpenConnectionResponse openConnectionResponse() {
+ return new OpenConnectionResponse(
+ "connection-1",
+ "test-server",
+ Collections.emptyMap()
+ );
+ }
+
+ private static QueryResultResponse queryResultResponse(
+ final String connectionId,
+ final String statementId
+ ) {
+ return new QueryResultResponse(
+ connectionId,
+ statementId,
+ List.of(new ColumnInfo(
+ "VALUE",
+ "VALUE",
+ null,
+ null,
+ "INTEGER",
+ Types.INTEGER,
+ ResultSetMetaData.columnNoNulls,
+ 10,
+ 0
+ )),
+ List.of(Collections.singletonList(1)),
+ false,
+ null
+ );
+ }
+
+ private interface RequestHandler {
+
+ void handle(Exchange exchange) throws Exception;
+ }
+
+ private static class ScriptedServer implements AutoCloseable {
+
+ private final ProtocolMessageCodec codec = new ProtocolMessageCodec();
+
+ private final ServerSocket serverSocket;
+
+ private final RequestHandler handler;
+
+ private final AtomicReference failure = new AtomicReference<>();
+
+ private final Thread thread;
+
+ ScriptedServer(final RequestHandler handler) throws IOException {
+ this.handler = handler;
+ this.serverSocket = new ServerSocket(0);
+ this.thread = new Thread(this::run, "wayang-jdbc-client-protocol-test");
+ this.thread.start();
+ }
+
+ int getPort() {
+ return this.serverSocket.getLocalPort();
+ }
+
+ private void run() {
+ try (Socket socket = this.serverSocket.accept()) {
+ while (!socket.isClosed()) {
+ final MessageEnvelope request = this.codec.read(socket.getInputStream());
+ if (request == null) {
+ return;
+ }
+ this.handler.handle(new Exchange(this.codec, socket, request));
+ }
+ } catch (SocketException e) {
+ if (!this.serverSocket.isClosed()) {
+ this.failure.compareAndSet(null, e);
+ }
+ } catch (Throwable t) {
+ this.failure.compareAndSet(null, t);
+ }
+ }
+
+ @Override
+ public void close() throws Exception {
+ this.serverSocket.close();
+ this.thread.join(5000L);
+ if (this.thread.isAlive()) {
+ throw new AssertionError("Scripted JDBC test server did not stop.");
+ }
+ final Throwable serverFailure = this.failure.get();
+ if (serverFailure != null) {
+ throw new AssertionError("Scripted JDBC test server failed.", serverFailure);
+ }
+ }
+ }
+
+ private static class Exchange {
+
+ private final ProtocolMessageCodec codec;
+
+ private final Socket socket;
+
+ private final MessageEnvelope request;
+
+ Exchange(
+ final ProtocolMessageCodec codec,
+ final Socket socket,
+ final MessageEnvelope request
+ ) {
+ this.codec = codec;
+ this.socket = socket;
+ this.request = request;
+ }
+
+ T payloadAs(final Class payloadClass) throws Exception {
+ return this.codec.payloadAs(this.request, payloadClass);
+ }
+
+ void respond(
+ final MessageType responseType,
+ final Object payload
+ ) throws IOException {
+ this.respond(this.request.getRequestId(), responseType, payload);
+ }
+
+ void respond(
+ final String requestId,
+ final MessageType responseType,
+ final Object payload
+ ) throws IOException {
+ this.codec.write(
+ this.socket.getOutputStream(),
+ this.codec.toEnvelope(requestId, responseType, payload)
+ );
+ }
+
+ void closeSocket() throws IOException {
+ this.socket.close();
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-client/src/test/java/org/apache/wayang/jdbc/driver/WayangJdbcUrlTest.java b/wayang-jdbc/wayang-jdbc-client/src/test/java/org/apache/wayang/jdbc/driver/WayangJdbcUrlTest.java
new file mode 100644
index 000000000..278fed564
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-client/src/test/java/org/apache/wayang/jdbc/driver/WayangJdbcUrlTest.java
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.driver;
+
+import org.apache.wayang.jdbc.protocol.ProtocolConstants;
+
+import org.junit.jupiter.api.Test;
+
+import java.sql.SQLException;
+import java.util.Properties;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertNull;
+import static org.junit.jupiter.api.Assertions.assertThrows;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+class WayangJdbcUrlTest {
+
+ @Test
+ void parsesHostPortDatabaseAndProperties() throws Exception {
+ final Properties properties = new Properties();
+ properties.setProperty("user", "property-user");
+ properties.setProperty("connectTimeout", "1000");
+
+ final WayangJdbcUrl url = WayangJdbcUrl.parse(
+ "jdbc:wayang://localhost:9998/sales%20data?user=url-user&password=s3cret",
+ properties
+ );
+
+ assertEquals("localhost", url.getHost());
+ assertEquals(9998, url.getPort());
+ assertEquals("sales data", url.getDatabase());
+ assertEquals("url-user", url.getProperties().getProperty("user"));
+ assertEquals("s3cret", url.getProperties().getProperty("password"));
+ assertEquals("1000", url.getProperties().getProperty("connectTimeout"));
+ }
+
+ @Test
+ void usesDefaultPortAndOptionalDatabase() throws Exception {
+ final WayangJdbcUrl url = WayangJdbcUrl.parse("jdbc:wayang://127.0.0.1", null);
+
+ assertEquals("127.0.0.1", url.getHost());
+ assertEquals(ProtocolConstants.DEFAULT_PORT, url.getPort());
+ assertNull(url.getDatabase());
+ }
+
+ @Test
+ void acceptsOnlyWayangJdbcUrls() {
+ assertTrue(WayangJdbcUrl.accepts("jdbc:wayang://localhost:9999/db"));
+ assertFalse(WayangJdbcUrl.accepts("jdbc:postgresql://localhost/db"));
+ assertFalse(WayangJdbcUrl.accepts(null));
+ }
+
+ @Test
+ void rejectsInvalidUrls() {
+ assertThrows(SQLException.class, () -> WayangJdbcUrl.parse("jdbc:wayang://", null));
+ assertThrows(SQLException.class, () -> WayangJdbcUrl.parse("jdbc:wayang://localhost:0/db", null));
+ assertThrows(SQLException.class, () -> WayangJdbcUrl.parse("jdbc:wayang://localhost/db/extra", null));
+ assertThrows(SQLException.class, () -> WayangJdbcUrl.parse("jdbc:wayang://localhost/db?=value", null));
+ assertThrows(SQLException.class, () -> WayangJdbcUrl.parse("jdbc:wayang://localhost/db%2Fextra", null));
+ assertThrows(SQLException.class, () -> WayangJdbcUrl.parse("jdbc:wayang://user@localhost/db", null));
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/pom.xml b/wayang-jdbc/wayang-jdbc-protocol/pom.xml
new file mode 100644
index 000000000..827c9c769
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/pom.xml
@@ -0,0 +1,49 @@
+
+
+
+ 4.0.0
+
+
+ wayang-jdbc
+ org.apache.wayang
+ 1.1.2-SNAPSHOT
+
+
+ wayang-jdbc-protocol
+
+ Wayang JDBC Protocol
+
+ Shared request, response, and metadata protocol objects for the Wayang JDBC driver and server.
+
+
+
+ org.apache.wayang.jdbc.protocol
+
+
+
+
+ com.fasterxml.jackson.core
+ jackson-databind
+
+
+
+
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/MessageEnvelope.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/MessageEnvelope.java
new file mode 100644
index 000000000..23d7b243c
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/MessageEnvelope.java
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol;
+
+import com.fasterxml.jackson.databind.JsonNode;
+
+
+public class MessageEnvelope {
+
+ private int version = ProtocolConstants.CURRENT_VERSION;
+
+ private String requestId;
+
+ private MessageType type;
+
+ private JsonNode payload;
+
+ public MessageEnvelope() {
+ }
+
+ public MessageEnvelope(
+ final String requestId,
+ final MessageType type,
+ final JsonNode payload
+ ) {
+ this(ProtocolConstants.CURRENT_VERSION, requestId, type, payload);
+ }
+
+ public MessageEnvelope(
+ final int version,
+ final String requestId,
+ final MessageType type,
+ final JsonNode payload
+ ) {
+ this.version = version;
+ this.requestId = requestId;
+ this.type = type;
+ this.payload = payload;
+ }
+
+ public int getVersion() {
+ return this.version;
+ }
+
+ public void setVersion(final int version) {
+ this.version = version;
+ }
+
+ public String getRequestId() {
+ return this.requestId;
+ }
+
+ public void setRequestId(final String requestId) {
+ this.requestId = requestId;
+ }
+
+ public MessageType getType() {
+ return this.type;
+ }
+
+ public void setType(final MessageType type) {
+ this.type = type;
+ }
+
+ public JsonNode getPayload() {
+ return this.payload;
+ }
+
+ public void setPayload(final JsonNode payload) {
+ this.payload = payload;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/MessageType.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/MessageType.java
new file mode 100644
index 000000000..1e9354cfa
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/MessageType.java
@@ -0,0 +1,43 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol;
+
+/**
+ * Message types exchanged between the Wayang JDBC driver and server.
+ */
+public enum MessageType {
+ OPEN_CONNECTION,
+ OPEN_CONNECTION_OK,
+ PING,
+ PING_OK,
+ EXECUTE_QUERY,
+ QUERY_RESULT,
+ FETCH,
+ FETCH_RESULT,
+ GET_SCHEMAS,
+ GET_TABLES,
+ GET_COLUMNS,
+ METADATA_RESULT,
+ CLOSE_CURSOR,
+ CLOSE_CURSOR_OK,
+ CANCEL_QUERY,
+ CANCEL_QUERY_OK,
+ CLOSE_CONNECTION,
+ CLOSE_CONNECTION_OK,
+ ERROR
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/ProtocolConstants.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/ProtocolConstants.java
new file mode 100644
index 000000000..e35d90c95
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/ProtocolConstants.java
@@ -0,0 +1,33 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol;
+
+/**
+ * Constants shared by the Wayang JDBC driver and server.
+ */
+public final class ProtocolConstants {
+
+ public static final int CURRENT_VERSION = 1;
+
+ public static final int DEFAULT_PORT = 9999;
+
+ public static final int DEFAULT_MAX_FRAME_LENGTH = 16 * 1024 * 1024;
+
+ private ProtocolConstants() {
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/ProtocolException.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/ProtocolException.java
new file mode 100644
index 000000000..a8d511a77
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/ProtocolException.java
@@ -0,0 +1,34 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol;
+
+import java.io.IOException;
+
+/**
+ * Signals malformed or unsupported Wayang JDBC protocol data.
+ */
+public class ProtocolException extends IOException {
+
+ public ProtocolException(final String message) {
+ super(message);
+ }
+
+ public ProtocolException(final String message, final Throwable cause) {
+ super(message, cause);
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/io/ProtocolMessageCodec.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/io/ProtocolMessageCodec.java
new file mode 100644
index 000000000..eaf009b23
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/io/ProtocolMessageCodec.java
@@ -0,0 +1,146 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.io;
+
+import org.apache.wayang.jdbc.protocol.MessageEnvelope;
+import org.apache.wayang.jdbc.protocol.MessageType;
+import org.apache.wayang.jdbc.protocol.ProtocolConstants;
+import org.apache.wayang.jdbc.protocol.ProtocolException;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.DeserializationFeature;
+import com.fasterxml.jackson.databind.JsonNode;
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import java.io.DataInputStream;
+import java.io.DataOutputStream;
+import java.io.EOFException;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+
+/**
+ * Encodes and decodes length-prefixed JSON protocol messages.
+ */
+public class ProtocolMessageCodec {
+
+ private final ObjectMapper objectMapper;
+
+ private final int maxFrameLength;
+
+ public ProtocolMessageCodec() {
+ this(createDefaultObjectMapper(), ProtocolConstants.DEFAULT_MAX_FRAME_LENGTH);
+ }
+
+ public ProtocolMessageCodec(final int maxFrameLength) {
+ this(createDefaultObjectMapper(), maxFrameLength);
+ }
+
+ public ProtocolMessageCodec(final ObjectMapper objectMapper, final int maxFrameLength) {
+ if (objectMapper == null) {
+ throw new IllegalArgumentException("Object mapper must not be null.");
+ }
+ if (maxFrameLength <= 0) {
+ throw new IllegalArgumentException("Maximum frame length must be positive.");
+ }
+ this.objectMapper = objectMapper;
+ this.maxFrameLength = maxFrameLength;
+ }
+
+ private static ObjectMapper createDefaultObjectMapper() {
+ return new ObjectMapper()
+ .enable(DeserializationFeature.USE_BIG_DECIMAL_FOR_FLOATS);
+ }
+
+ public MessageEnvelope toEnvelope(
+ final String requestId,
+ final MessageType type,
+ final Object payload
+ ) {
+ final JsonNode payloadNode = this.objectMapper.valueToTree(payload);
+ return new MessageEnvelope(requestId, type, payloadNode);
+ }
+
+ public T payloadAs(final MessageEnvelope envelope, final Class payloadClass) throws ProtocolException {
+ try {
+ return this.objectMapper.treeToValue(envelope.getPayload(), payloadClass);
+ } catch (JsonProcessingException e) {
+ throw new ProtocolException("Could not decode payload for message type " + envelope.getType(), e);
+ }
+ }
+
+ public void write(final OutputStream outputStream, final MessageEnvelope message) throws IOException {
+ this.validateEnvelope(message);
+
+ final byte[] payload = this.objectMapper.writeValueAsBytes(message);
+ if (payload.length > this.maxFrameLength) {
+ throw new ProtocolException("Protocol frame exceeds maximum length: " + payload.length);
+ }
+
+ final DataOutputStream dataOutputStream = new DataOutputStream(outputStream);
+ dataOutputStream.writeInt(payload.length);
+ dataOutputStream.write(payload);
+ dataOutputStream.flush();
+ }
+
+ public MessageEnvelope read(final InputStream inputStream) throws IOException {
+ final DataInputStream dataInputStream = new DataInputStream(inputStream);
+ final int frameLength;
+ try {
+ frameLength = dataInputStream.readInt();
+ } catch (EOFException e) {
+ return null;
+ }
+
+ this.validateFrameLength(frameLength);
+
+ final byte[] payload = new byte[frameLength];
+ dataInputStream.readFully(payload);
+
+ final MessageEnvelope envelope = this.objectMapper.readValue(payload, MessageEnvelope.class);
+ this.validateEnvelope(envelope);
+ return envelope;
+ }
+
+ private void validateFrameLength(final int frameLength) throws ProtocolException {
+ if (frameLength <= 0) {
+ throw new ProtocolException("Protocol frame length must be positive: " + frameLength);
+ }
+ if (frameLength > this.maxFrameLength) {
+ throw new ProtocolException("Protocol frame exceeds maximum length: " + frameLength);
+ }
+ }
+
+ private void validateEnvelope(final MessageEnvelope envelope) throws ProtocolException {
+ if (envelope == null) {
+ throw new ProtocolException("Protocol message must not be null.");
+ }
+ if (envelope.getVersion() != ProtocolConstants.CURRENT_VERSION) {
+ throw new ProtocolException("Unsupported protocol version: " + envelope.getVersion());
+ }
+ if (envelope.getRequestId() == null || envelope.getRequestId().isBlank()) {
+ throw new ProtocolException("Protocol message is missing a request id.");
+ }
+ if (envelope.getType() == null) {
+ throw new ProtocolException("Protocol message is missing a message type.");
+ }
+ if (envelope.getPayload() == null || envelope.getPayload().isNull()) {
+ throw new ProtocolException("Protocol message is missing a payload.");
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CancelQueryRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CancelQueryRequest.java
new file mode 100644
index 000000000..ee7eb1c76
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CancelQueryRequest.java
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Requests cancellation of a running statement.
+ */
+public class CancelQueryRequest {
+
+ private String connectionId;
+
+ private String statementId;
+
+ private String cursorId;
+
+ public CancelQueryRequest() {
+ }
+
+ public CancelQueryRequest(
+ final String connectionId,
+ final String statementId,
+ final String cursorId
+ ) {
+ this.connectionId = connectionId;
+ this.statementId = statementId;
+ this.cursorId = cursorId;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getStatementId() {
+ return this.statementId;
+ }
+
+ public void setStatementId(final String statementId) {
+ this.statementId = statementId;
+ }
+
+ public String getCursorId() {
+ return this.cursorId;
+ }
+
+ public void setCursorId(final String cursorId) {
+ this.cursorId = cursorId;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CancelQueryResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CancelQueryResponse.java
new file mode 100644
index 000000000..b824815f5
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CancelQueryResponse.java
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Confirms that the server accepted a query cancellation request.
+ */
+public class CancelQueryResponse {
+
+ private String connectionId;
+
+ private String statementId;
+
+ private String cursorId;
+
+ private boolean cancelled;
+
+ public CancelQueryResponse() {
+ }
+
+ public CancelQueryResponse(
+ final String connectionId,
+ final String statementId,
+ final String cursorId,
+ final boolean cancelled
+ ) {
+ this.connectionId = connectionId;
+ this.statementId = statementId;
+ this.cursorId = cursorId;
+ this.cancelled = cancelled;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getStatementId() {
+ return this.statementId;
+ }
+
+ public void setStatementId(final String statementId) {
+ this.statementId = statementId;
+ }
+
+ public String getCursorId() {
+ return this.cursorId;
+ }
+
+ public void setCursorId(final String cursorId) {
+ this.cursorId = cursorId;
+ }
+
+ public boolean isCancelled() {
+ return this.cancelled;
+ }
+
+ public void setCancelled(final boolean cancelled) {
+ this.cancelled = cancelled;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseConnectionRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseConnectionRequest.java
new file mode 100644
index 000000000..00b2266ce
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseConnectionRequest.java
@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Closes a logical JDBC connection on the Wayang JDBC server.
+ */
+public class CloseConnectionRequest {
+
+ private String connectionId;
+
+ public CloseConnectionRequest() {
+ }
+
+ public CloseConnectionRequest(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseConnectionResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseConnectionResponse.java
new file mode 100644
index 000000000..25656d36a
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseConnectionResponse.java
@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Confirms that a logical JDBC connection was closed.
+ */
+public class CloseConnectionResponse {
+
+ private String connectionId;
+
+ public CloseConnectionResponse() {
+ }
+
+ public CloseConnectionResponse(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseCursorRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseCursorRequest.java
new file mode 100644
index 000000000..12e591063
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseCursorRequest.java
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Closes a server-side cursor associated with a result set.
+ */
+public class CloseCursorRequest {
+
+ private String connectionId;
+
+ private String statementId;
+
+ private String cursorId;
+
+ public CloseCursorRequest() {
+ }
+
+ public CloseCursorRequest(
+ final String connectionId,
+ final String statementId,
+ final String cursorId
+ ) {
+ this.connectionId = connectionId;
+ this.statementId = statementId;
+ this.cursorId = cursorId;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getStatementId() {
+ return this.statementId;
+ }
+
+ public void setStatementId(final String statementId) {
+ this.statementId = statementId;
+ }
+
+ public String getCursorId() {
+ return this.cursorId;
+ }
+
+ public void setCursorId(final String cursorId) {
+ this.cursorId = cursorId;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseCursorResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseCursorResponse.java
new file mode 100644
index 000000000..d9cfdda33
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/CloseCursorResponse.java
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Confirms that a server-side cursor was closed.
+ */
+public class CloseCursorResponse {
+
+ private String connectionId;
+
+ private String statementId;
+
+ private String cursorId;
+
+ public CloseCursorResponse() {
+ }
+
+ public CloseCursorResponse(
+ final String connectionId,
+ final String statementId,
+ final String cursorId
+ ) {
+ this.connectionId = connectionId;
+ this.statementId = statementId;
+ this.cursorId = cursorId;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getStatementId() {
+ return this.statementId;
+ }
+
+ public void setStatementId(final String statementId) {
+ this.statementId = statementId;
+ }
+
+ public String getCursorId() {
+ return this.cursorId;
+ }
+
+ public void setCursorId(final String cursorId) {
+ this.cursorId = cursorId;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ColumnInfo.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ColumnInfo.java
new file mode 100644
index 000000000..4cf7402be
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ColumnInfo.java
@@ -0,0 +1,139 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * JDBC-facing metadata for one result column.
+ */
+public class ColumnInfo {
+
+ private String columnName;
+
+ private String columnLabel;
+
+ private String tableName;
+
+ private String schemaName;
+
+ private String typeName;
+
+ private int jdbcType;
+
+ private int nullable;
+
+ private int precision;
+
+ private int scale;
+
+ public ColumnInfo() {
+ }
+
+ public ColumnInfo(
+ final String columnName,
+ final String columnLabel,
+ final String tableName,
+ final String schemaName,
+ final String typeName,
+ final int jdbcType,
+ final int nullable,
+ final int precision,
+ final int scale
+ ) {
+ this.columnName = columnName;
+ this.columnLabel = columnLabel;
+ this.tableName = tableName;
+ this.schemaName = schemaName;
+ this.typeName = typeName;
+ this.jdbcType = jdbcType;
+ this.nullable = nullable;
+ this.precision = precision;
+ this.scale = scale;
+ }
+
+ public String getColumnName() {
+ return this.columnName;
+ }
+
+ public void setColumnName(final String columnName) {
+ this.columnName = columnName;
+ }
+
+ public String getColumnLabel() {
+ return this.columnLabel;
+ }
+
+ public void setColumnLabel(final String columnLabel) {
+ this.columnLabel = columnLabel;
+ }
+
+ public String getTableName() {
+ return this.tableName;
+ }
+
+ public void setTableName(final String tableName) {
+ this.tableName = tableName;
+ }
+
+ public String getSchemaName() {
+ return this.schemaName;
+ }
+
+ public void setSchemaName(final String schemaName) {
+ this.schemaName = schemaName;
+ }
+
+ public String getTypeName() {
+ return this.typeName;
+ }
+
+ public void setTypeName(final String typeName) {
+ this.typeName = typeName;
+ }
+
+ public int getJdbcType() {
+ return this.jdbcType;
+ }
+
+ public void setJdbcType(final int jdbcType) {
+ this.jdbcType = jdbcType;
+ }
+
+ public int getNullable() {
+ return this.nullable;
+ }
+
+ public void setNullable(final int nullable) {
+ this.nullable = nullable;
+ }
+
+ public int getPrecision() {
+ return this.precision;
+ }
+
+ public void setPrecision(final int precision) {
+ this.precision = precision;
+ }
+
+ public int getScale() {
+ return this.scale;
+ }
+
+ public void setScale(final int scale) {
+ this.scale = scale;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ErrorCode.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ErrorCode.java
new file mode 100644
index 000000000..eae163301
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ErrorCode.java
@@ -0,0 +1,31 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Stable protocol-level error categories.
+ */
+public enum ErrorCode {
+ CONNECTION_ERROR,
+ INVALID_REQUEST,
+ UNSUPPORTED_OPERATION,
+ QUERY_PARSE_ERROR,
+ QUERY_EXECUTION_ERROR,
+ METADATA_ERROR,
+ INTERNAL_ERROR
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ErrorResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ErrorResponse.java
new file mode 100644
index 000000000..155785339
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ErrorResponse.java
@@ -0,0 +1,112 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Carries an error that should be surfaced by the JDBC driver as a {@link java.sql.SQLException}.
+ */
+public class ErrorResponse {
+
+ private ErrorCode errorCode;
+
+ private String sqlState;
+
+ private int vendorCode;
+
+ private String message;
+
+ private String detail;
+
+ private String exceptionClass;
+
+ public ErrorResponse() {
+ }
+
+ public ErrorResponse(
+ final String sqlState,
+ final int vendorCode,
+ final String message,
+ final String detail
+ ) {
+ this(null, sqlState, vendorCode, message, detail, null);
+ }
+
+ public ErrorResponse(
+ final ErrorCode errorCode,
+ final String sqlState,
+ final int vendorCode,
+ final String message,
+ final String detail,
+ final String exceptionClass
+ ) {
+ this.errorCode = errorCode;
+ this.sqlState = sqlState;
+ this.vendorCode = vendorCode;
+ this.message = message;
+ this.detail = detail;
+ this.exceptionClass = exceptionClass;
+ }
+
+ public ErrorCode getErrorCode() {
+ return this.errorCode;
+ }
+
+ public void setErrorCode(final ErrorCode errorCode) {
+ this.errorCode = errorCode;
+ }
+
+ public String getSqlState() {
+ return this.sqlState;
+ }
+
+ public void setSqlState(final String sqlState) {
+ this.sqlState = sqlState;
+ }
+
+ public int getVendorCode() {
+ return this.vendorCode;
+ }
+
+ public void setVendorCode(final int vendorCode) {
+ this.vendorCode = vendorCode;
+ }
+
+ public String getMessage() {
+ return this.message;
+ }
+
+ public void setMessage(final String message) {
+ this.message = message;
+ }
+
+ public String getDetail() {
+ return this.detail;
+ }
+
+ public void setDetail(final String detail) {
+ this.detail = detail;
+ }
+
+ public String getExceptionClass() {
+ return this.exceptionClass;
+ }
+
+ public void setExceptionClass(final String exceptionClass) {
+ this.exceptionClass = exceptionClass;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ExecuteQueryRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ExecuteQueryRequest.java
new file mode 100644
index 000000000..dab99ef65
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/ExecuteQueryRequest.java
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Sends a SQL query from the JDBC driver to the Wayang JDBC server.
+ */
+public class ExecuteQueryRequest {
+
+ private String connectionId;
+
+ private String statementId;
+
+ private String sql;
+
+ private int fetchSize;
+
+ public ExecuteQueryRequest() {
+ }
+
+ public ExecuteQueryRequest(
+ final String connectionId,
+ final String statementId,
+ final String sql,
+ final int fetchSize
+ ) {
+ this.connectionId = connectionId;
+ this.statementId = statementId;
+ this.sql = sql;
+ this.fetchSize = fetchSize;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getStatementId() {
+ return this.statementId;
+ }
+
+ public void setStatementId(final String statementId) {
+ this.statementId = statementId;
+ }
+
+ public String getSql() {
+ return this.sql;
+ }
+
+ public void setSql(final String sql) {
+ this.sql = sql;
+ }
+
+ public int getFetchSize() {
+ return this.fetchSize;
+ }
+
+ public void setFetchSize(final int fetchSize) {
+ this.fetchSize = fetchSize;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/FetchRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/FetchRequest.java
new file mode 100644
index 000000000..074f86f92
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/FetchRequest.java
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Requests the next row batch for an open query cursor.
+ */
+public class FetchRequest {
+
+ private String connectionId;
+
+ private String cursorId;
+
+ private int fetchSize;
+
+ public FetchRequest() {
+ }
+
+ public FetchRequest(final String connectionId, final String cursorId, final int fetchSize) {
+ this.connectionId = connectionId;
+ this.cursorId = cursorId;
+ this.fetchSize = fetchSize;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getCursorId() {
+ return this.cursorId;
+ }
+
+ public void setCursorId(final String cursorId) {
+ this.cursorId = cursorId;
+ }
+
+ public int getFetchSize() {
+ return this.fetchSize;
+ }
+
+ public void setFetchSize(final int fetchSize) {
+ this.fetchSize = fetchSize;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/FetchResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/FetchResponse.java
new file mode 100644
index 000000000..ea0a5dba6
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/FetchResponse.java
@@ -0,0 +1,82 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Carries a row batch for an open query cursor.
+ */
+public class FetchResponse {
+
+ private String connectionId;
+
+ private String cursorId;
+
+ private List> rows = new ArrayList<>();
+
+ private boolean hasMoreRows;
+
+ public FetchResponse() {
+ }
+
+ public FetchResponse(
+ final String connectionId,
+ final String cursorId,
+ final List> rows,
+ final boolean hasMoreRows
+ ) {
+ this.connectionId = connectionId;
+ this.cursorId = cursorId;
+ this.rows = rows;
+ this.hasMoreRows = hasMoreRows;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getCursorId() {
+ return this.cursorId;
+ }
+
+ public void setCursorId(final String cursorId) {
+ this.cursorId = cursorId;
+ }
+
+ public List> getRows() {
+ return this.rows;
+ }
+
+ public void setRows(final List> rows) {
+ this.rows = rows;
+ }
+
+ public boolean isHasMoreRows() {
+ return this.hasMoreRows;
+ }
+
+ public void setHasMoreRows(final boolean hasMoreRows) {
+ this.hasMoreRows = hasMoreRows;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetColumnsRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetColumnsRequest.java
new file mode 100644
index 000000000..9343c0d55
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetColumnsRequest.java
@@ -0,0 +1,91 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Requests column metadata for {@link java.sql.DatabaseMetaData#getColumns(String, String, String, String)}.
+ */
+public class GetColumnsRequest {
+
+ private String connectionId;
+
+ private String catalogPattern;
+
+ private String schemaPattern;
+
+ private String tableNamePattern;
+
+ private String columnNamePattern;
+
+ public GetColumnsRequest() {
+ }
+
+ public GetColumnsRequest(
+ final String connectionId,
+ final String catalogPattern,
+ final String schemaPattern,
+ final String tableNamePattern,
+ final String columnNamePattern
+ ) {
+ this.connectionId = connectionId;
+ this.catalogPattern = catalogPattern;
+ this.schemaPattern = schemaPattern;
+ this.tableNamePattern = tableNamePattern;
+ this.columnNamePattern = columnNamePattern;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getCatalogPattern() {
+ return this.catalogPattern;
+ }
+
+ public void setCatalogPattern(final String catalogPattern) {
+ this.catalogPattern = catalogPattern;
+ }
+
+ public String getSchemaPattern() {
+ return this.schemaPattern;
+ }
+
+ public void setSchemaPattern(final String schemaPattern) {
+ this.schemaPattern = schemaPattern;
+ }
+
+ public String getTableNamePattern() {
+ return this.tableNamePattern;
+ }
+
+ public void setTableNamePattern(final String tableNamePattern) {
+ this.tableNamePattern = tableNamePattern;
+ }
+
+ public String getColumnNamePattern() {
+ return this.columnNamePattern;
+ }
+
+ public void setColumnNamePattern(final String columnNamePattern) {
+ this.columnNamePattern = columnNamePattern;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetSchemasRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetSchemasRequest.java
new file mode 100644
index 000000000..f31a99c7b
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetSchemasRequest.java
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Requests schema metadata for {@link java.sql.DatabaseMetaData#getSchemas()}.
+ */
+public class GetSchemasRequest {
+
+ private String connectionId;
+
+ private String catalog;
+
+ private String schemaPattern;
+
+ public GetSchemasRequest() {
+ }
+
+ public GetSchemasRequest(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public GetSchemasRequest(
+ final String connectionId,
+ final String catalog,
+ final String schemaPattern
+ ) {
+ this.connectionId = connectionId;
+ this.catalog = catalog;
+ this.schemaPattern = schemaPattern;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getCatalog() {
+ return this.catalog;
+ }
+
+ public void setCatalog(final String catalog) {
+ this.catalog = catalog;
+ }
+
+ public String getSchemaPattern() {
+ return this.schemaPattern;
+ }
+
+ public void setSchemaPattern(final String schemaPattern) {
+ this.schemaPattern = schemaPattern;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetTablesRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetTablesRequest.java
new file mode 100644
index 000000000..f3af4fac9
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/GetTablesRequest.java
@@ -0,0 +1,94 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Requests table metadata for {@link java.sql.DatabaseMetaData#getTables(String, String, String, String[])}.
+ */
+public class GetTablesRequest {
+
+ private String connectionId;
+
+ private String catalogPattern;
+
+ private String schemaPattern;
+
+ private String tableNamePattern;
+
+ private List tableTypes = new ArrayList<>();
+
+ public GetTablesRequest() {
+ }
+
+ public GetTablesRequest(
+ final String connectionId,
+ final String catalogPattern,
+ final String schemaPattern,
+ final String tableNamePattern,
+ final List tableTypes
+ ) {
+ this.connectionId = connectionId;
+ this.catalogPattern = catalogPattern;
+ this.schemaPattern = schemaPattern;
+ this.tableNamePattern = tableNamePattern;
+ this.tableTypes = tableTypes;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getCatalogPattern() {
+ return this.catalogPattern;
+ }
+
+ public void setCatalogPattern(final String catalogPattern) {
+ this.catalogPattern = catalogPattern;
+ }
+
+ public String getSchemaPattern() {
+ return this.schemaPattern;
+ }
+
+ public void setSchemaPattern(final String schemaPattern) {
+ this.schemaPattern = schemaPattern;
+ }
+
+ public String getTableNamePattern() {
+ return this.tableNamePattern;
+ }
+
+ public void setTableNamePattern(final String tableNamePattern) {
+ this.tableNamePattern = tableNamePattern;
+ }
+
+ public List getTableTypes() {
+ return this.tableTypes;
+ }
+
+ public void setTableTypes(final List tableTypes) {
+ this.tableTypes = tableTypes;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/MetadataResultResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/MetadataResultResponse.java
new file mode 100644
index 000000000..9e643446e
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/MetadataResultResponse.java
@@ -0,0 +1,82 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Carries tabular metadata rows for JDBC {@link java.sql.DatabaseMetaData} calls.
+ */
+public class MetadataResultResponse {
+
+ private String connectionId;
+
+ private MetadataType metadataType;
+
+ private List columns = new ArrayList<>();
+
+ private List> rows = new ArrayList<>();
+
+ public MetadataResultResponse() {
+ }
+
+ public MetadataResultResponse(
+ final String connectionId,
+ final MetadataType metadataType,
+ final List columns,
+ final List> rows
+ ) {
+ this.connectionId = connectionId;
+ this.metadataType = metadataType;
+ this.columns = columns;
+ this.rows = rows;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public MetadataType getMetadataType() {
+ return this.metadataType;
+ }
+
+ public void setMetadataType(final MetadataType metadataType) {
+ this.metadataType = metadataType;
+ }
+
+ public List getColumns() {
+ return this.columns;
+ }
+
+ public void setColumns(final List columns) {
+ this.columns = columns;
+ }
+
+ public List> getRows() {
+ return this.rows;
+ }
+
+ public void setRows(final List> rows) {
+ this.rows = rows;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/MetadataType.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/MetadataType.java
new file mode 100644
index 000000000..3eb0b708e
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/MetadataType.java
@@ -0,0 +1,27 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Metadata result categories supported by the protocol.
+ */
+public enum MetadataType {
+ SCHEMAS,
+ TABLES,
+ COLUMNS
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/OpenConnectionRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/OpenConnectionRequest.java
new file mode 100644
index 000000000..3250e3aab
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/OpenConnectionRequest.java
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+import java.util.LinkedHashMap;
+import java.util.Map;
+
+/**
+ * Opens a logical JDBC connection on the Wayang JDBC server.
+ */
+public class OpenConnectionRequest {
+
+ private String username;
+
+ private String database;
+
+ private Map properties = new LinkedHashMap<>();
+
+ public OpenConnectionRequest() {
+ }
+
+ public OpenConnectionRequest(
+ final String username,
+ final String database,
+ final Map properties
+ ) {
+ this.username = username;
+ this.database = database;
+ this.properties = properties;
+ }
+
+ public String getUsername() {
+ return this.username;
+ }
+
+ public void setUsername(final String username) {
+ this.username = username;
+ }
+
+ public String getDatabase() {
+ return this.database;
+ }
+
+ public void setDatabase(final String database) {
+ this.database = database;
+ }
+
+ public Map getProperties() {
+ return this.properties;
+ }
+
+ public void setProperties(final Map properties) {
+ this.properties = properties;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/OpenConnectionResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/OpenConnectionResponse.java
new file mode 100644
index 000000000..a0f837b47
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/OpenConnectionResponse.java
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+import java.util.LinkedHashMap;
+import java.util.Map;
+
+/**
+ * Confirms that a logical JDBC connection was opened by the server.
+ */
+public class OpenConnectionResponse {
+
+ private String connectionId;
+
+ private String serverVersion;
+
+ private Map properties = new LinkedHashMap<>();
+
+ public OpenConnectionResponse() {
+ }
+
+ public OpenConnectionResponse(
+ final String connectionId,
+ final String serverVersion,
+ final Map properties
+ ) {
+ this.connectionId = connectionId;
+ this.serverVersion = serverVersion;
+ this.properties = properties;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getServerVersion() {
+ return this.serverVersion;
+ }
+
+ public void setServerVersion(final String serverVersion) {
+ this.serverVersion = serverVersion;
+ }
+
+ public Map getProperties() {
+ return this.properties;
+ }
+
+ public void setProperties(final Map properties) {
+ this.properties = properties;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/PingRequest.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/PingRequest.java
new file mode 100644
index 000000000..12d436271
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/PingRequest.java
@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Checks that a logical JDBC connection is still active on the server.
+ */
+public class PingRequest {
+
+ private String connectionId;
+
+ public PingRequest() {
+ }
+
+ public PingRequest(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/PingResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/PingResponse.java
new file mode 100644
index 000000000..b3f70b631
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/PingResponse.java
@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+/**
+ * Confirms that a logical JDBC connection is active on the server.
+ */
+public class PingResponse {
+
+ private String connectionId;
+
+ public PingResponse() {
+ }
+
+ public PingResponse(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/QueryResultResponse.java b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/QueryResultResponse.java
new file mode 100644
index 000000000..be49d6c47
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/main/java/org/apache/wayang/jdbc/protocol/message/QueryResultResponse.java
@@ -0,0 +1,106 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.message;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Carries the first batch of rows and metadata for a query.
+ */
+public class QueryResultResponse {
+
+ private String connectionId;
+
+ private String statementId;
+
+ private List columns = new ArrayList<>();
+
+ private List> rows = new ArrayList<>();
+
+ private boolean hasMoreRows;
+
+ private String cursorId;
+
+ public QueryResultResponse() {
+ }
+
+ public QueryResultResponse(
+ final String connectionId,
+ final String statementId,
+ final List columns,
+ final List> rows,
+ final boolean hasMoreRows,
+ final String cursorId
+ ) {
+ this.connectionId = connectionId;
+ this.statementId = statementId;
+ this.columns = columns;
+ this.rows = rows;
+ this.hasMoreRows = hasMoreRows;
+ this.cursorId = cursorId;
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ public void setConnectionId(final String connectionId) {
+ this.connectionId = connectionId;
+ }
+
+ public String getStatementId() {
+ return this.statementId;
+ }
+
+ public void setStatementId(final String statementId) {
+ this.statementId = statementId;
+ }
+
+ public List getColumns() {
+ return this.columns;
+ }
+
+ public void setColumns(final List columns) {
+ this.columns = columns;
+ }
+
+ public List> getRows() {
+ return this.rows;
+ }
+
+ public void setRows(final List> rows) {
+ this.rows = rows;
+ }
+
+ public boolean isHasMoreRows() {
+ return this.hasMoreRows;
+ }
+
+ public void setHasMoreRows(final boolean hasMoreRows) {
+ this.hasMoreRows = hasMoreRows;
+ }
+
+ public String getCursorId() {
+ return this.cursorId;
+ }
+
+ public void setCursorId(final String cursorId) {
+ this.cursorId = cursorId;
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-protocol/src/test/java/org/apache/wayang/jdbc/protocol/io/ProtocolMessageCodecTest.java b/wayang-jdbc/wayang-jdbc-protocol/src/test/java/org/apache/wayang/jdbc/protocol/io/ProtocolMessageCodecTest.java
new file mode 100644
index 000000000..ee98cd687
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-protocol/src/test/java/org/apache/wayang/jdbc/protocol/io/ProtocolMessageCodecTest.java
@@ -0,0 +1,107 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.protocol.io;
+
+import org.apache.wayang.jdbc.protocol.MessageEnvelope;
+import org.apache.wayang.jdbc.protocol.MessageType;
+import org.apache.wayang.jdbc.protocol.ProtocolException;
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+import org.apache.wayang.jdbc.protocol.message.PingRequest;
+import org.apache.wayang.jdbc.protocol.message.QueryResultResponse;
+
+import org.junit.jupiter.api.Test;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.math.BigDecimal;
+import java.sql.ResultSetMetaData;
+import java.sql.Types;
+import java.util.Collections;
+import java.util.List;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertInstanceOf;
+import static org.junit.jupiter.api.Assertions.assertThrows;
+
+class ProtocolMessageCodecTest {
+
+ @Test
+ void roundTripsPingRequest() throws Exception {
+ final ProtocolMessageCodec codec = new ProtocolMessageCodec();
+ final MessageEnvelope request = codec.toEnvelope(
+ "request-1",
+ MessageType.PING,
+ new PingRequest("connection-1")
+ );
+
+ final ByteArrayOutputStream output = new ByteArrayOutputStream();
+ codec.write(output, request);
+
+ final MessageEnvelope decoded = codec.read(new ByteArrayInputStream(output.toByteArray()));
+ final PingRequest payload = codec.payloadAs(decoded, PingRequest.class);
+
+ assertEquals("request-1", decoded.getRequestId());
+ assertEquals(MessageType.PING, decoded.getType());
+ assertEquals("connection-1", payload.getConnectionId());
+ }
+
+ @Test
+ void preservesDecimalRows() throws Exception {
+ final ProtocolMessageCodec codec = new ProtocolMessageCodec();
+ final QueryResultResponse response = new QueryResultResponse(
+ "connection-1",
+ "statement-1",
+ List.of(new ColumnInfo(
+ "AMOUNT",
+ "AMOUNT",
+ null,
+ null,
+ "DECIMAL",
+ Types.DECIMAL,
+ ResultSetMetaData.columnNullable,
+ 10,
+ 2
+ )),
+ List.of(Collections.singletonList(new BigDecimal("12.34"))),
+ false,
+ null
+ );
+
+ final ByteArrayOutputStream output = new ByteArrayOutputStream();
+ codec.write(output, codec.toEnvelope("request-2", MessageType.QUERY_RESULT, response));
+
+ final MessageEnvelope decoded = codec.read(new ByteArrayInputStream(output.toByteArray()));
+ final QueryResultResponse payload = codec.payloadAs(decoded, QueryResultResponse.class);
+ final Object value = payload.getRows().get(0).get(0);
+
+ assertInstanceOf(BigDecimal.class, value);
+ assertEquals(new BigDecimal("12.34"), value);
+ }
+
+ @Test
+ void rejectsFramesAboveConfiguredLimit() {
+ final ProtocolMessageCodec codec = new ProtocolMessageCodec(8);
+ final MessageEnvelope request = codec.toEnvelope(
+ "request-3",
+ MessageType.PING,
+ new PingRequest("connection-1")
+ );
+
+ assertThrows(ProtocolException.class, () -> codec.write(new ByteArrayOutputStream(), request));
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/pom.xml b/wayang-jdbc/wayang-jdbc-server/pom.xml
new file mode 100644
index 000000000..19ef1baf9
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/pom.xml
@@ -0,0 +1,61 @@
+
+
+
+ 4.0.0
+
+
+ wayang-jdbc
+ org.apache.wayang
+ 1.1.2-SNAPSHOT
+
+
+ wayang-jdbc-server
+
+ Wayang JDBC Server
+
+ TCP/IP server that accepts Wayang JDBC driver requests and delegates SQL execution to the Wayang SQL API.
+
+
+
+ org.apache.wayang.jdbc.server
+
+
+
+
+ org.apache.wayang
+ wayang-jdbc-protocol
+ 1.1.2-SNAPSHOT
+
+
+ org.apache.wayang
+ wayang-api-sql
+ 1.1.2-SNAPSHOT
+
+
+ org.apache.wayang
+ wayang-jdbc-client
+ 1.1.2-SNAPSHOT
+ test
+
+
+
+
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/CursorStore.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/CursorStore.java
new file mode 100644
index 000000000..16c39e049
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/CursorStore.java
@@ -0,0 +1,246 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.UUID;
+import java.util.function.Function;
+
+/**
+ * Stores in-memory row cursors for query results that need fetch paging.
+ */
+class CursorStore {
+
+ private static final int DEFAULT_MAX_CURSORS = 1024;
+
+ private static final int DEFAULT_MAX_CURSORS_PER_CONNECTION = 64;
+
+ private final Map cursors = new HashMap<>();
+
+ private final int maxCursors;
+
+ private final int maxCursorsPerConnection;
+
+ CursorStore() {
+ this(DEFAULT_MAX_CURSORS, DEFAULT_MAX_CURSORS_PER_CONNECTION);
+ }
+
+ CursorStore(final int maxCursors, final int maxCursorsPerConnection) {
+ if (maxCursors <= 0) {
+ throw new IllegalArgumentException("Maximum cursor count must be positive.");
+ }
+ if (maxCursorsPerConnection <= 0 || maxCursorsPerConnection > maxCursors) {
+ throw new IllegalArgumentException(
+ "Maximum cursors per connection must be positive and no greater than the total maximum."
+ );
+ }
+ this.maxCursors = maxCursors;
+ this.maxCursorsPerConnection = maxCursorsPerConnection;
+ }
+
+ synchronized String openCursor(
+ final String connectionId,
+ final String statementId,
+ final List> rows,
+ final int position
+ ) {
+ return this.openCursor(
+ connectionId,
+ statementId,
+ rows,
+ position,
+ cursorId -> cursorId
+ );
+ }
+
+ /**
+ * Opens a cursor only after {@code responseFactory} has successfully
+ * created the response that exposes its id.
+ */
+ synchronized T openCursor(
+ final String connectionId,
+ final String statementId,
+ final List> rows,
+ final int position,
+ final Function responseFactory
+ ) {
+ if (connectionId == null || statementId == null || rows == null) {
+ throw new IllegalArgumentException("Cursor connection, statement, and rows must not be null.");
+ }
+ if (responseFactory == null) {
+ throw new IllegalArgumentException("Cursor response factory must not be null.");
+ }
+ if (position < 0 || position >= rows.size()) {
+ throw new IllegalArgumentException("Cursor position must reference an unread row.");
+ }
+
+ this.closeStatement(connectionId, statementId);
+ if (this.cursors.size() >= this.maxCursors) {
+ throw new CapacityException("The JDBC server has reached its open cursor limit.");
+ }
+
+ final long connectionCursorCount = this.cursors.values().stream()
+ .filter(cursor -> cursor.connectionId.equals(connectionId))
+ .count();
+ if (connectionCursorCount >= this.maxCursorsPerConnection) {
+ throw new CapacityException("This JDBC connection has reached its open cursor limit.");
+ }
+
+ final String cursorId = UUID.randomUUID().toString();
+ final T response = responseFactory.apply(cursorId);
+ this.cursors.put(cursorId, new Cursor(connectionId, statementId, rows, position));
+ return response;
+ }
+
+ synchronized FetchBatch fetch(final String connectionId, final String cursorId, final int fetchSize) {
+ return this.fetch(connectionId, cursorId, fetchSize, batch -> batch);
+ }
+
+ /**
+ * Advances a cursor only after {@code responseFactory} has successfully
+ * created a response for the selected batch.
+ */
+ synchronized T fetch(
+ final String connectionId,
+ final String cursorId,
+ final int fetchSize,
+ final Function responseFactory
+ ) {
+ if (fetchSize <= 0) {
+ throw new IllegalArgumentException("Fetch size must be positive.");
+ }
+ if (responseFactory == null) {
+ throw new IllegalArgumentException("Fetch response factory must not be null.");
+ }
+ final Cursor cursor = this.cursors.get(cursorId);
+ if (cursor == null || !cursor.connectionId.equals(connectionId)) {
+ return null;
+ }
+
+ final FetchBatch batch = cursor.preview(fetchSize);
+ final T response = responseFactory.apply(batch);
+ cursor.advance(batch.getRows().size());
+ if (!batch.hasMoreRows()) {
+ this.cursors.remove(cursorId);
+ }
+ return response;
+ }
+
+ synchronized boolean closeCursor(
+ final String connectionId,
+ final String statementId,
+ final String cursorId
+ ) {
+ final Cursor cursor = this.cursors.get(cursorId);
+ if (cursor == null
+ || !cursor.connectionId.equals(connectionId)
+ || !cursor.statementId.equals(statementId)) {
+ return false;
+ }
+ return this.cursors.remove(cursorId) != null;
+ }
+
+ synchronized boolean cancelCursor(
+ final String connectionId,
+ final String statementId,
+ final String cursorId
+ ) {
+ return this.closeCursor(connectionId, statementId, cursorId);
+ }
+
+ synchronized void closeStatement(final String connectionId, final String statementId) {
+ this.cursors.entrySet().removeIf(entry ->
+ entry.getValue().connectionId.equals(connectionId)
+ && entry.getValue().statementId.equals(statementId)
+ );
+ }
+
+ synchronized void closeConnection(final String connectionId) {
+ this.cursors.entrySet().removeIf(entry ->
+ Objects.equals(entry.getValue().connectionId, connectionId)
+ );
+ }
+
+ synchronized void clear() {
+ this.cursors.clear();
+ }
+
+ static class FetchBatch {
+
+ private final List> rows;
+
+ private final boolean hasMoreRows;
+
+ FetchBatch(final List> rows, final boolean hasMoreRows) {
+ this.rows = rows;
+ this.hasMoreRows = hasMoreRows;
+ }
+
+ List> getRows() {
+ return this.rows;
+ }
+
+ boolean hasMoreRows() {
+ return this.hasMoreRows;
+ }
+ }
+
+ private static class Cursor {
+
+ private final String connectionId;
+
+ private final String statementId;
+
+ private final List> rows;
+
+ private int position;
+
+ Cursor(
+ final String connectionId,
+ final String statementId,
+ final List> rows,
+ final int position
+ ) {
+ this.connectionId = connectionId;
+ this.statementId = statementId;
+ this.rows = rows;
+ this.position = position;
+ }
+
+ FetchBatch preview(final int fetchSize) {
+ final int end = Math.min(this.position + fetchSize, this.rows.size());
+ final List> batch = new ArrayList<>(this.rows.subList(this.position, end));
+ return new FetchBatch(batch, end < this.rows.size());
+ }
+
+ void advance(final int rowCount) {
+ this.position += rowCount;
+ }
+ }
+
+ static class CapacityException extends IllegalStateException {
+
+ CapacityException(final String message) {
+ super(message);
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/DefaultSqlMetadataProvider.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/DefaultSqlMetadataProvider.java
new file mode 100644
index 000000000..50105dad1
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/DefaultSqlMetadataProvider.java
@@ -0,0 +1,418 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.wayang.api.sql.context.SqlCatalogMetadata;
+import org.apache.wayang.api.sql.context.SqlColumn;
+import org.apache.wayang.api.sql.context.SqlContext;
+import org.apache.wayang.api.sql.context.SqlSchemaMetadata;
+import org.apache.wayang.api.sql.context.SqlTableMetadata;
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+import org.apache.wayang.jdbc.protocol.message.GetColumnsRequest;
+import org.apache.wayang.jdbc.protocol.message.GetSchemasRequest;
+import org.apache.wayang.jdbc.protocol.message.GetTablesRequest;
+import org.apache.wayang.jdbc.protocol.message.MetadataResultResponse;
+import org.apache.wayang.jdbc.protocol.message.MetadataType;
+
+import java.sql.DatabaseMetaData;
+import java.sql.ResultSetMetaData;
+import java.sql.SQLException;
+import java.sql.Types;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.List;
+import java.util.regex.Pattern;
+
+/**
+ * Metadata provider for the read-only Wayang JDBC gateway.
+ *
+ * When constructed with a {@link SqlContext}, metadata is read from the
+ * same Calcite catalog used for query execution. The no-argument constructor
+ * retains the original session-only fallback for custom query executors that
+ * do not expose a catalog.
+ */
+public class DefaultSqlMetadataProvider implements SqlMetadataProvider {
+
+ private static final char SEARCH_ESCAPE = '\\';
+
+ private static final Comparator NULL_SAFE_STRING_COMPARATOR =
+ Comparator.nullsFirst(Comparator.naturalOrder());
+
+ private final SqlContext sqlContext;
+
+ public DefaultSqlMetadataProvider() {
+ this.sqlContext = null;
+ }
+
+ public DefaultSqlMetadataProvider(final SqlContext sqlContext) {
+ if (sqlContext == null) {
+ throw new IllegalArgumentException("SQL context must not be null.");
+ }
+ this.sqlContext = sqlContext;
+ }
+
+ @Override
+ public MetadataResultResponse getSchemas(
+ final JdbcServerSession session,
+ final GetSchemasRequest request
+ ) throws SQLException {
+ final String catalog = session.getDatabase();
+ final List> rows = new ArrayList<>();
+ if (this.matchesCatalog(catalog, request.getCatalog())) {
+ for (final SqlSchemaMetadata schema : this.getSchemas(session)) {
+ if (this.matchesPattern(schema.getName(), request.getSchemaPattern())) {
+ rows.add(Arrays.asList(schema.getName(), catalog));
+ }
+ }
+ }
+ rows.sort(Comparator
+ .comparing((List row) -> (String) row.get(1), NULL_SAFE_STRING_COMPARATOR)
+ .thenComparing(row -> (String) row.get(0), NULL_SAFE_STRING_COMPARATOR));
+
+ return new MetadataResultResponse(
+ session.getConnectionId(),
+ MetadataType.SCHEMAS,
+ this.schemasColumns(),
+ rows
+ );
+ }
+
+ @Override
+ public MetadataResultResponse getTables(
+ final JdbcServerSession session,
+ final GetTablesRequest request
+ ) throws SQLException {
+ final String catalog = session.getDatabase();
+ final List> rows = new ArrayList<>();
+ if (this.matchesCatalog(catalog, request.getCatalogPattern())) {
+ for (final SqlSchemaMetadata schema : this.getSchemas(session)) {
+ if (!this.matchesPattern(schema.getName(), request.getSchemaPattern())) {
+ continue;
+ }
+ for (final SqlTableMetadata table : schema.getTables()) {
+ if (this.matchesPattern(table.getName(), request.getTableNamePattern())
+ && this.matchesTableType(table.getType(), request.getTableTypes())) {
+ rows.add(Arrays.asList(
+ catalog,
+ schema.getName(),
+ table.getName(),
+ table.getType(),
+ null,
+ null,
+ null,
+ null,
+ null,
+ null
+ ));
+ }
+ }
+ }
+ }
+ rows.sort(Comparator
+ .comparing((List row) -> (String) row.get(3), NULL_SAFE_STRING_COMPARATOR)
+ .thenComparing(row -> (String) row.get(0), NULL_SAFE_STRING_COMPARATOR)
+ .thenComparing(row -> (String) row.get(1), NULL_SAFE_STRING_COMPARATOR)
+ .thenComparing(row -> (String) row.get(2), NULL_SAFE_STRING_COMPARATOR));
+
+ return new MetadataResultResponse(
+ session.getConnectionId(),
+ MetadataType.TABLES,
+ this.tablesColumns(),
+ rows
+ );
+ }
+
+ @Override
+ public MetadataResultResponse getColumns(
+ final JdbcServerSession session,
+ final GetColumnsRequest request
+ ) throws SQLException {
+ final String catalog = session.getDatabase();
+ final List> rows = new ArrayList<>();
+ if (this.matchesCatalog(catalog, request.getCatalogPattern())) {
+ for (final SqlSchemaMetadata schema : this.getSchemas(session)) {
+ if (!this.matchesPattern(schema.getName(), request.getSchemaPattern())) {
+ continue;
+ }
+ for (final SqlTableMetadata table : schema.getTables()) {
+ if (!this.matchesPattern(table.getName(), request.getTableNamePattern())) {
+ continue;
+ }
+ final List columns = table.getColumns();
+ for (int index = 0; index < columns.size(); index++) {
+ final SqlColumn column = columns.get(index);
+ if (this.matchesPattern(column.getName(), request.getColumnNamePattern())) {
+ rows.add(this.columnRow(
+ catalog,
+ schema.getName(),
+ table.getName(),
+ column,
+ index + 1
+ ));
+ }
+ }
+ }
+ }
+ }
+ rows.sort(Comparator
+ .comparing((List row) -> (String) row.get(0), NULL_SAFE_STRING_COMPARATOR)
+ .thenComparing(row -> (String) row.get(1), NULL_SAFE_STRING_COMPARATOR)
+ .thenComparing(row -> (String) row.get(2), NULL_SAFE_STRING_COMPARATOR)
+ .thenComparingInt(row -> (Integer) row.get(16)));
+
+ return new MetadataResultResponse(
+ session.getConnectionId(),
+ MetadataType.COLUMNS,
+ this.columnsColumns(),
+ rows
+ );
+ }
+
+ private List getSchemas(final JdbcServerSession session) throws SQLException {
+ if (this.sqlContext != null) {
+ final SqlCatalogMetadata catalog = this.sqlContext.getCatalogMetadata();
+ return catalog.getSchemas();
+ }
+ final String schema = session.getDatabase();
+ if (schema == null) {
+ return Collections.emptyList();
+ }
+ return Collections.singletonList(new SqlSchemaMetadata(schema, Collections.emptyList()));
+ }
+
+ private List columnRow(
+ final String catalog,
+ final String schema,
+ final String table,
+ final SqlColumn column,
+ final int ordinal
+ ) {
+ final int nullable = column.isNullable()
+ ? DatabaseMetaData.columnNullable
+ : DatabaseMetaData.columnNoNulls;
+ return Arrays.asList(
+ catalog,
+ schema,
+ table,
+ column.getName(),
+ column.getJdbcType(),
+ column.getTypeName(),
+ this.nonNegative(column.getPrecision()),
+ null,
+ this.nonNegative(column.getScale()),
+ this.numericRadix(column.getJdbcType()),
+ nullable,
+ null,
+ null,
+ null,
+ null,
+ this.characterOctetLength(column),
+ ordinal,
+ column.isNullable() ? "YES" : "NO",
+ null,
+ null,
+ null,
+ null,
+ "NO",
+ "NO"
+ );
+ }
+
+ private Integer nonNegative(final int value) {
+ return Math.max(0, value);
+ }
+
+ private Integer numericRadix(final int jdbcType) {
+ switch (jdbcType) {
+ case Types.TINYINT:
+ case Types.SMALLINT:
+ case Types.INTEGER:
+ case Types.BIGINT:
+ case Types.NUMERIC:
+ case Types.DECIMAL:
+ return 10;
+ case Types.FLOAT:
+ case Types.REAL:
+ case Types.DOUBLE:
+ return 2;
+ default:
+ return null;
+ }
+ }
+
+ private Integer characterOctetLength(final SqlColumn column) {
+ switch (column.getJdbcType()) {
+ case Types.CHAR:
+ case Types.VARCHAR:
+ case Types.LONGVARCHAR:
+ case Types.NCHAR:
+ case Types.NVARCHAR:
+ case Types.LONGNVARCHAR:
+ case Types.BINARY:
+ case Types.VARBINARY:
+ case Types.LONGVARBINARY:
+ return this.nonNegative(column.getPrecision());
+ default:
+ return null;
+ }
+ }
+
+ private List schemasColumns() {
+ return Arrays.asList(
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_CATALOG", Types.VARCHAR)
+ );
+ }
+
+ private List tablesColumns() {
+ return Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("TABLE_TYPE", Types.VARCHAR),
+ column("REMARKS", Types.VARCHAR),
+ column("TYPE_CAT", Types.VARCHAR),
+ column("TYPE_SCHEM", Types.VARCHAR),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("SELF_REFERENCING_COL_NAME", Types.VARCHAR),
+ column("REF_GENERATION", Types.VARCHAR)
+ );
+ }
+
+ private List columnsColumns() {
+ return Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("DATA_TYPE", Types.INTEGER),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("COLUMN_SIZE", Types.INTEGER),
+ column("BUFFER_LENGTH", Types.INTEGER),
+ column("DECIMAL_DIGITS", Types.INTEGER),
+ column("NUM_PREC_RADIX", Types.INTEGER),
+ column("NULLABLE", Types.INTEGER),
+ column("REMARKS", Types.VARCHAR),
+ column("COLUMN_DEF", Types.VARCHAR),
+ column("SQL_DATA_TYPE", Types.INTEGER),
+ column("SQL_DATETIME_SUB", Types.INTEGER),
+ column("CHAR_OCTET_LENGTH", Types.INTEGER),
+ column("ORDINAL_POSITION", Types.INTEGER),
+ column("IS_NULLABLE", Types.VARCHAR),
+ column("SCOPE_CATALOG", Types.VARCHAR),
+ column("SCOPE_SCHEMA", Types.VARCHAR),
+ column("SCOPE_TABLE", Types.VARCHAR),
+ column("SOURCE_DATA_TYPE", Types.SMALLINT),
+ column("IS_AUTOINCREMENT", Types.VARCHAR),
+ column("IS_GENERATEDCOLUMN", Types.VARCHAR)
+ );
+ }
+
+ private boolean matchesTableType(final String value, final List requestedTypes) {
+ if (requestedTypes == null) {
+ return true;
+ }
+ if (requestedTypes.isEmpty()) {
+ return false;
+ }
+ for (final String requestedType : requestedTypes) {
+ if (requestedType != null && value.equals(requestedType)) {
+ return true;
+ }
+ }
+ return false;
+ }
+
+ /**
+ * Catalog arguments in the JDBC metadata API are identifiers, not search
+ * patterns. A {@code null} argument accepts any catalog and the empty
+ * string selects objects that have no catalog.
+ */
+ private boolean matchesCatalog(final String value, final String catalog) {
+ if (catalog == null) {
+ return true;
+ }
+ if (catalog.isEmpty()) {
+ return value == null || value.isEmpty();
+ }
+ return catalog.equals(value);
+ }
+
+ private boolean matchesPattern(final String value, final String pattern) {
+ if (pattern == null) {
+ return true;
+ }
+ if (value == null) {
+ return pattern.isEmpty();
+ }
+ return Pattern.compile(
+ this.toRegex(pattern),
+ Pattern.DOTALL
+ ).matcher(value).matches();
+ }
+
+ private String toRegex(final String pattern) {
+ final StringBuilder regex = new StringBuilder();
+ for (int index = 0; index < pattern.length(); index++) {
+ final char current = pattern.charAt(index);
+ if (current == SEARCH_ESCAPE) {
+ if (index + 1 < pattern.length()) {
+ regex.append(Pattern.quote(String.valueOf(pattern.charAt(++index))));
+ } else {
+ regex.append(Pattern.quote(String.valueOf(SEARCH_ESCAPE)));
+ }
+ } else if (current == '%') {
+ regex.append(".*");
+ } else if (current == '_') {
+ regex.append('.');
+ } else {
+ regex.append(Pattern.quote(String.valueOf(current)));
+ }
+ }
+ return regex.toString();
+ }
+
+ private static ColumnInfo column(final String name, final int jdbcType) {
+ return new ColumnInfo(
+ name,
+ name,
+ "",
+ "",
+ jdbcTypeName(jdbcType),
+ jdbcType,
+ ResultSetMetaData.columnNullable,
+ 0,
+ 0
+ );
+ }
+
+ private static String jdbcTypeName(final int jdbcType) {
+ switch (jdbcType) {
+ case Types.INTEGER:
+ return "INTEGER";
+ case Types.SMALLINT:
+ return "SMALLINT";
+ case Types.VARCHAR:
+ return "VARCHAR";
+ default:
+ return "OTHER";
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcClientHandler.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcClientHandler.java
new file mode 100644
index 000000000..34a2596b6
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcClientHandler.java
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.wayang.jdbc.protocol.MessageEnvelope;
+import org.apache.wayang.jdbc.protocol.io.ProtocolMessageCodec;
+
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.net.Socket;
+import java.util.UUID;
+
+/**
+ * Handles one TCP client connection.
+ */
+class JdbcClientHandler implements Runnable {
+
+ private final Socket socket;
+
+ private final JdbcRequestDispatcher dispatcher;
+
+ private final ProtocolMessageCodec codec;
+
+ private final String clientId;
+
+ private final Runnable closeCallback;
+
+ JdbcClientHandler(final Socket socket, final JdbcRequestDispatcher dispatcher) {
+ this(socket, dispatcher, () -> {
+ });
+ }
+
+ JdbcClientHandler(
+ final Socket socket,
+ final JdbcRequestDispatcher dispatcher,
+ final Runnable closeCallback
+ ) {
+ if (socket == null) {
+ throw new IllegalArgumentException("Client socket must not be null.");
+ }
+ if (dispatcher == null) {
+ throw new IllegalArgumentException("Request dispatcher must not be null.");
+ }
+ if (closeCallback == null) {
+ throw new IllegalArgumentException("Close callback must not be null.");
+ }
+ this.socket = socket;
+ this.dispatcher = dispatcher;
+ this.codec = new ProtocolMessageCodec();
+ this.clientId = UUID.randomUUID().toString();
+ this.closeCallback = closeCallback;
+ }
+
+ @Override
+ public void run() {
+ try (Socket clientSocket = this.socket;
+ InputStream inputStream = clientSocket.getInputStream();
+ OutputStream outputStream = clientSocket.getOutputStream()) {
+ while (!clientSocket.isClosed()) {
+ final MessageEnvelope request = this.codec.read(inputStream);
+ if (request == null) {
+ return;
+ }
+ final MessageEnvelope response = this.dispatcher.dispatch(request, this.clientId);
+ this.codec.write(outputStream, response);
+ }
+ } catch (IOException ignored) {
+ // The driver will surface connection failures through JDBC exceptions.
+ } finally {
+ this.dispatcher.closeClient(this.clientId);
+ this.closeCallback.run();
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcRequestDispatcher.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcRequestDispatcher.java
new file mode 100644
index 000000000..6204058a0
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcRequestDispatcher.java
@@ -0,0 +1,773 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.calcite.sql.SqlExplain;
+import org.apache.calcite.sql.SqlKind;
+import org.apache.calcite.sql.SqlNode;
+import org.apache.calcite.sql.SqlWith;
+import org.apache.calcite.sql.parser.SqlParseException;
+import org.apache.calcite.sql.parser.SqlParser;
+import org.apache.wayang.api.sql.context.SqlQueryResult;
+import org.apache.wayang.jdbc.protocol.MessageEnvelope;
+import org.apache.wayang.jdbc.protocol.MessageType;
+import org.apache.wayang.jdbc.protocol.ProtocolException;
+import org.apache.wayang.jdbc.protocol.io.ProtocolMessageCodec;
+import org.apache.wayang.jdbc.protocol.message.CancelQueryRequest;
+import org.apache.wayang.jdbc.protocol.message.CancelQueryResponse;
+import org.apache.wayang.jdbc.protocol.message.CloseConnectionRequest;
+import org.apache.wayang.jdbc.protocol.message.CloseConnectionResponse;
+import org.apache.wayang.jdbc.protocol.message.CloseCursorRequest;
+import org.apache.wayang.jdbc.protocol.message.CloseCursorResponse;
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+import org.apache.wayang.jdbc.protocol.message.ErrorCode;
+import org.apache.wayang.jdbc.protocol.message.ErrorResponse;
+import org.apache.wayang.jdbc.protocol.message.ExecuteQueryRequest;
+import org.apache.wayang.jdbc.protocol.message.FetchRequest;
+import org.apache.wayang.jdbc.protocol.message.FetchResponse;
+import org.apache.wayang.jdbc.protocol.message.GetColumnsRequest;
+import org.apache.wayang.jdbc.protocol.message.GetSchemasRequest;
+import org.apache.wayang.jdbc.protocol.message.GetTablesRequest;
+import org.apache.wayang.jdbc.protocol.message.MetadataResultResponse;
+import org.apache.wayang.jdbc.protocol.message.MetadataType;
+import org.apache.wayang.jdbc.protocol.message.OpenConnectionRequest;
+import org.apache.wayang.jdbc.protocol.message.OpenConnectionResponse;
+import org.apache.wayang.jdbc.protocol.message.PingRequest;
+import org.apache.wayang.jdbc.protocol.message.PingResponse;
+import org.apache.wayang.jdbc.protocol.message.QueryResultResponse;
+
+import java.sql.SQLException;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Locale;
+import java.util.Objects;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicBoolean;
+
+/**
+ * Dispatches protocol messages to server-side JDBC gateway actions.
+ */
+public class JdbcRequestDispatcher {
+
+ private static final int DEFAULT_FETCH_SIZE = 100;
+
+ private static final int MAX_FETCH_SIZE = 10_000;
+
+ private static final String SERVER_VERSION = "1.1.2-SNAPSHOT";
+
+ private static final String LOCAL_CLIENT_ID = "local-dispatcher";
+
+ private static final Set QUERY_STATEMENT_KEYWORDS = Set.of(
+ "SELECT",
+ "TABLE",
+ "VALUES"
+ );
+
+ private static final Set UNSUPPORTED_STATEMENT_KEYWORDS = Set.of(
+ "ALTER",
+ "ANALYZE",
+ "BEGIN",
+ "CALL",
+ "COMMENT",
+ "COMMIT",
+ "COPY",
+ "CREATE",
+ "DELETE",
+ "DROP",
+ "END",
+ "GRANT",
+ "INSERT",
+ "LOAD",
+ "LOCK",
+ "MERGE",
+ "RENAME",
+ "REPLACE",
+ "REVOKE",
+ "ROLLBACK",
+ "SAVEPOINT",
+ "SET",
+ "START",
+ "TRUNCATE",
+ "UNLOCK",
+ "UPDATE",
+ "UPSERT",
+ "USE",
+ "VACUUM"
+ );
+
+ private final ProtocolMessageCodec codec;
+
+ private final SqlQueryExecutor queryExecutor;
+
+ private final SqlMetadataProvider metadataProvider;
+
+ private final JdbcServerSessionManager sessionManager;
+
+ private final CursorStore cursorStore;
+
+ private final int defaultFetchSize;
+
+ private final AtomicBoolean closed = new AtomicBoolean(false);
+
+ public JdbcRequestDispatcher(final SqlQueryExecutor queryExecutor) {
+ this(queryExecutor, DEFAULT_FETCH_SIZE);
+ }
+
+ public JdbcRequestDispatcher(final SqlQueryExecutor queryExecutor, final int defaultFetchSize) {
+ this(queryExecutor, createDefaultMetadataProvider(queryExecutor), defaultFetchSize);
+ }
+
+ JdbcRequestDispatcher(
+ final SqlQueryExecutor queryExecutor,
+ final SqlMetadataProvider metadataProvider
+ ) {
+ this(queryExecutor, metadataProvider, DEFAULT_FETCH_SIZE);
+ }
+
+ public JdbcRequestDispatcher(
+ final SqlQueryExecutor queryExecutor,
+ final SqlMetadataProvider metadataProvider,
+ final int defaultFetchSize
+ ) {
+ if (queryExecutor == null) {
+ throw new IllegalArgumentException("Query executor must not be null.");
+ }
+ if (metadataProvider == null) {
+ throw new IllegalArgumentException("Metadata provider must not be null.");
+ }
+ if (defaultFetchSize <= 0) {
+ throw new IllegalArgumentException("Default fetch size must be positive.");
+ }
+ this.codec = new ProtocolMessageCodec();
+ this.queryExecutor = queryExecutor;
+ this.metadataProvider = metadataProvider;
+ this.sessionManager = new JdbcServerSessionManager();
+ this.cursorStore = new CursorStore();
+ this.defaultFetchSize = defaultFetchSize;
+ }
+
+ private static SqlMetadataProvider createDefaultMetadataProvider(final SqlQueryExecutor queryExecutor) {
+ if (queryExecutor instanceof WayangSqlQueryExecutor) {
+ return new DefaultSqlMetadataProvider(
+ ((WayangSqlQueryExecutor) queryExecutor).getSqlContext()
+ );
+ }
+ return new DefaultSqlMetadataProvider();
+ }
+
+ public MessageEnvelope dispatch(final MessageEnvelope request) {
+ return this.dispatch(request, LOCAL_CLIENT_ID);
+ }
+
+ MessageEnvelope dispatch(final MessageEnvelope request, final String clientId) {
+ try {
+ if (this.closed.get()) {
+ throw new DispatcherClosedException("The Wayang JDBC server is closed.");
+ }
+ this.requireText(clientId, "Client id");
+ switch (request.getType()) {
+ case OPEN_CONNECTION:
+ return this.openConnection(request, clientId);
+ case PING:
+ return this.ping(request, clientId);
+ case EXECUTE_QUERY:
+ return this.executeQuery(request, clientId);
+ case FETCH:
+ return this.fetch(request, clientId);
+ case CLOSE_CURSOR:
+ return this.closeCursor(request, clientId);
+ case CANCEL_QUERY:
+ return this.cancelQuery(request, clientId);
+ case CLOSE_CONNECTION:
+ return this.closeConnection(request, clientId);
+ case GET_SCHEMAS:
+ return this.getSchemas(request, clientId);
+ case GET_TABLES:
+ return this.getTables(request, clientId);
+ case GET_COLUMNS:
+ return this.getColumns(request, clientId);
+ default:
+ return this.error(
+ request.getRequestId(),
+ ErrorCode.INVALID_REQUEST,
+ "HY000",
+ 1000,
+ "Unsupported request message type: " + request.getType(),
+ null,
+ null
+ );
+ }
+ } catch (UnsupportedSqlOperationException e) {
+ return this.error(
+ request.getRequestId(),
+ ErrorCode.UNSUPPORTED_OPERATION,
+ "0A000",
+ 1003,
+ e.getMessage(),
+ null,
+ e.getClass().getName()
+ );
+ } catch (JdbcServerSessionManager.CapacityException
+ | CursorStore.CapacityException
+ | DispatcherClosedException e) {
+ return this.error(
+ request.getRequestId(),
+ ErrorCode.CONNECTION_ERROR,
+ "08004",
+ 1004,
+ e.getMessage(),
+ null,
+ e.getClass().getName()
+ );
+ } catch (ProtocolException | IllegalArgumentException e) {
+ return this.error(
+ request.getRequestId(),
+ ErrorCode.INVALID_REQUEST,
+ "HY000",
+ 1000,
+ e.getMessage(),
+ null,
+ e.getClass().getName()
+ );
+ } catch (SqlParseException e) {
+ return this.error(
+ request.getRequestId(),
+ ErrorCode.QUERY_PARSE_ERROR,
+ "42000",
+ 1002,
+ "Could not parse SQL query.",
+ e.getMessage(),
+ e.getClass().getName()
+ );
+ } catch (MetadataOperationException e) {
+ return this.error(
+ request.getRequestId(),
+ ErrorCode.METADATA_ERROR,
+ "HY000",
+ 1005,
+ e.getMessage(),
+ e.getCause() == null ? null : e.getCause().getMessage(),
+ e.getCause() == null ? e.getClass().getName() : e.getCause().getClass().getName()
+ );
+ } catch (Exception e) {
+ return this.error(
+ request.getRequestId(),
+ ErrorCode.QUERY_EXECUTION_ERROR,
+ "HY000",
+ 1001,
+ "Could not execute SQL query.",
+ e.getMessage(),
+ e.getClass().getName()
+ );
+ }
+ }
+
+ void closeClient(final String clientId) {
+ for (final String connectionId : this.sessionManager.closeClient(clientId)) {
+ this.cursorStore.closeConnection(connectionId);
+ }
+ }
+
+ void close() {
+ if (this.closed.compareAndSet(false, true)) {
+ this.cursorStore.clear();
+ this.sessionManager.clear();
+ }
+ }
+
+ private MessageEnvelope openConnection(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws ProtocolException {
+ final OpenConnectionRequest openRequest = this.codec.payloadAs(request, OpenConnectionRequest.class);
+ final String connectionId = this.sessionManager.openConnection(
+ clientId,
+ openRequest.getUsername(),
+ openRequest.getDatabase(),
+ openRequest.getProperties()
+ );
+ final OpenConnectionResponse response = new OpenConnectionResponse(
+ connectionId,
+ SERVER_VERSION,
+ new LinkedHashMap<>()
+ );
+ return this.codec.toEnvelope(request.getRequestId(), MessageType.OPEN_CONNECTION_OK, response);
+ }
+
+ private MessageEnvelope executeQuery(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws Exception {
+ final ExecuteQueryRequest executeRequest = this.codec.payloadAs(request, ExecuteQueryRequest.class);
+ this.requireOpenConnection(executeRequest.getConnectionId(), clientId);
+ this.requireText(executeRequest.getStatementId(), "Statement id");
+ this.requireText(executeRequest.getSql(), "SQL query");
+ this.requireReadOnlyQuery(executeRequest.getSql());
+
+ this.cursorStore.closeStatement(
+ executeRequest.getConnectionId(),
+ executeRequest.getStatementId()
+ );
+ final SqlQueryResult result = this.queryExecutor.execute(executeRequest.getSql());
+ if (this.closed.get()) {
+ throw new DispatcherClosedException("The Wayang JDBC server is closed.");
+ }
+ this.requireOpenConnection(executeRequest.getConnectionId(), clientId);
+ if (result == null) {
+ throw new IllegalStateException("The SQL query executor returned no result.");
+ }
+ final List columns = SqlQueryResultAdapter.toColumnInfo(result);
+ final List> rows = SqlQueryResultAdapter.toRows(result);
+ this.validateTabularResult(columns, rows, "Query result");
+ final int fetchSize = this.normalizeFetchSize(executeRequest.getFetchSize());
+ final int batchEnd = Math.min(fetchSize, rows.size());
+ final List> firstBatch = List.copyOf(rows.subList(0, batchEnd));
+ final boolean hasMoreRows = batchEnd < rows.size();
+ if (!hasMoreRows) {
+ return this.queryResultEnvelope(
+ request.getRequestId(),
+ executeRequest,
+ columns,
+ firstBatch,
+ false,
+ null
+ );
+ }
+
+ return this.cursorStore.openCursor(
+ executeRequest.getConnectionId(),
+ executeRequest.getStatementId(),
+ rows,
+ batchEnd,
+ cursorId -> this.queryResultEnvelope(
+ request.getRequestId(),
+ executeRequest,
+ columns,
+ firstBatch,
+ true,
+ cursorId
+ )
+ );
+ }
+
+ private MessageEnvelope ping(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws ProtocolException {
+ final PingRequest pingRequest = this.codec.payloadAs(request, PingRequest.class);
+ this.requireOpenConnection(pingRequest.getConnectionId(), clientId);
+ return this.codec.toEnvelope(
+ request.getRequestId(),
+ MessageType.PING_OK,
+ new PingResponse(pingRequest.getConnectionId())
+ );
+ }
+
+ private MessageEnvelope getSchemas(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws MetadataOperationException, ProtocolException {
+ final GetSchemasRequest metadataRequest = this.codec.payloadAs(request, GetSchemasRequest.class);
+ final JdbcServerSession session = this.requireOpenSession(metadataRequest.getConnectionId(), clientId);
+ try {
+ final MetadataResultResponse response = this.metadataProvider.getSchemas(session, metadataRequest);
+ this.validateMetadataResponse(response, session.getConnectionId(), MetadataType.SCHEMAS);
+ return this.codec.toEnvelope(request.getRequestId(), MessageType.METADATA_RESULT, response);
+ } catch (SQLException | IllegalStateException e) {
+ throw new MetadataOperationException("Could not retrieve JDBC schema metadata.", e);
+ }
+ }
+
+ private MessageEnvelope getTables(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws MetadataOperationException, ProtocolException {
+ final GetTablesRequest metadataRequest = this.codec.payloadAs(request, GetTablesRequest.class);
+ final JdbcServerSession session = this.requireOpenSession(metadataRequest.getConnectionId(), clientId);
+ try {
+ final MetadataResultResponse response = this.metadataProvider.getTables(session, metadataRequest);
+ this.validateMetadataResponse(response, session.getConnectionId(), MetadataType.TABLES);
+ return this.codec.toEnvelope(request.getRequestId(), MessageType.METADATA_RESULT, response);
+ } catch (SQLException | IllegalStateException e) {
+ throw new MetadataOperationException("Could not retrieve JDBC table metadata.", e);
+ }
+ }
+
+ private MessageEnvelope getColumns(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws MetadataOperationException, ProtocolException {
+ final GetColumnsRequest metadataRequest = this.codec.payloadAs(request, GetColumnsRequest.class);
+ final JdbcServerSession session = this.requireOpenSession(metadataRequest.getConnectionId(), clientId);
+ try {
+ final MetadataResultResponse response = this.metadataProvider.getColumns(session, metadataRequest);
+ this.validateMetadataResponse(response, session.getConnectionId(), MetadataType.COLUMNS);
+ return this.codec.toEnvelope(request.getRequestId(), MessageType.METADATA_RESULT, response);
+ } catch (SQLException | IllegalStateException e) {
+ throw new MetadataOperationException("Could not retrieve JDBC column metadata.", e);
+ }
+ }
+
+ private MessageEnvelope fetch(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws ProtocolException {
+ final FetchRequest fetchRequest = this.codec.payloadAs(request, FetchRequest.class);
+ this.requireOpenConnection(fetchRequest.getConnectionId(), clientId);
+ this.requireText(fetchRequest.getCursorId(), "Cursor id");
+
+ final MessageEnvelope response = this.cursorStore.fetch(
+ fetchRequest.getConnectionId(),
+ fetchRequest.getCursorId(),
+ this.normalizeFetchSize(fetchRequest.getFetchSize()),
+ batch -> this.codec.toEnvelope(
+ request.getRequestId(),
+ MessageType.FETCH_RESULT,
+ new FetchResponse(
+ fetchRequest.getConnectionId(),
+ fetchRequest.getCursorId(),
+ batch.getRows(),
+ batch.hasMoreRows()
+ )
+ )
+ );
+ if (response == null) {
+ throw new IllegalArgumentException("Unknown cursor id: " + fetchRequest.getCursorId());
+ }
+ return response;
+ }
+
+ private MessageEnvelope queryResultEnvelope(
+ final String requestId,
+ final ExecuteQueryRequest executeRequest,
+ final List columns,
+ final List> rows,
+ final boolean hasMoreRows,
+ final String cursorId
+ ) {
+ final QueryResultResponse response = new QueryResultResponse(
+ executeRequest.getConnectionId(),
+ executeRequest.getStatementId(),
+ columns,
+ rows,
+ hasMoreRows,
+ cursorId
+ );
+ return this.codec.toEnvelope(requestId, MessageType.QUERY_RESULT, response);
+ }
+
+ private MessageEnvelope closeCursor(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws ProtocolException {
+ final CloseCursorRequest closeRequest = this.codec.payloadAs(request, CloseCursorRequest.class);
+ this.requireOpenConnection(closeRequest.getConnectionId(), clientId);
+ this.requireText(closeRequest.getStatementId(), "Statement id");
+ this.requireText(closeRequest.getCursorId(), "Cursor id");
+ final boolean closed = this.cursorStore.closeCursor(
+ closeRequest.getConnectionId(),
+ closeRequest.getStatementId(),
+ closeRequest.getCursorId()
+ );
+ if (!closed) {
+ throw new IllegalArgumentException(
+ "Unknown cursor for statement: " + closeRequest.getCursorId()
+ );
+ }
+
+ final CloseCursorResponse response = new CloseCursorResponse(
+ closeRequest.getConnectionId(),
+ closeRequest.getStatementId(),
+ closeRequest.getCursorId()
+ );
+ return this.codec.toEnvelope(request.getRequestId(), MessageType.CLOSE_CURSOR_OK, response);
+ }
+
+ private MessageEnvelope cancelQuery(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws ProtocolException {
+ final CancelQueryRequest cancelRequest = this.codec.payloadAs(request, CancelQueryRequest.class);
+ this.requireOpenConnection(cancelRequest.getConnectionId(), clientId);
+ this.requireText(cancelRequest.getStatementId(), "Statement id");
+ if (cancelRequest.getCursorId() != null) {
+ this.requireText(cancelRequest.getCursorId(), "Cursor id");
+ }
+ final boolean cancelled = cancelRequest.getCursorId() != null
+ && this.cursorStore.cancelCursor(
+ cancelRequest.getConnectionId(),
+ cancelRequest.getStatementId(),
+ cancelRequest.getCursorId()
+ );
+
+ final CancelQueryResponse response = new CancelQueryResponse(
+ cancelRequest.getConnectionId(),
+ cancelRequest.getStatementId(),
+ cancelRequest.getCursorId(),
+ cancelled
+ );
+ return this.codec.toEnvelope(request.getRequestId(), MessageType.CANCEL_QUERY_OK, response);
+ }
+
+ private MessageEnvelope closeConnection(
+ final MessageEnvelope request,
+ final String clientId
+ ) throws ProtocolException {
+ final CloseConnectionRequest closeRequest = this.codec.payloadAs(request, CloseConnectionRequest.class);
+ this.requireOpenConnection(closeRequest.getConnectionId(), clientId);
+ this.cursorStore.closeConnection(closeRequest.getConnectionId());
+ this.sessionManager.closeConnection(closeRequest.getConnectionId());
+
+ final CloseConnectionResponse response = new CloseConnectionResponse(closeRequest.getConnectionId());
+ return this.codec.toEnvelope(request.getRequestId(), MessageType.CLOSE_CONNECTION_OK, response);
+ }
+
+ private void requireOpenConnection(final String connectionId, final String clientId) {
+ this.requireOpenSession(connectionId, clientId);
+ }
+
+ private JdbcServerSession requireOpenSession(final String connectionId, final String clientId) {
+ this.requireText(connectionId, "Connection id");
+ final JdbcServerSession session = this.sessionManager.getSession(connectionId, clientId);
+ if (session == null) {
+ throw new IllegalArgumentException("Unknown connection id: " + connectionId);
+ }
+ return session;
+ }
+
+ private void requireText(final String value, final String fieldName) {
+ if (value == null || value.isBlank()) {
+ throw new IllegalArgumentException(fieldName + " must not be blank.");
+ }
+ }
+
+ private int normalizeFetchSize(final int fetchSize) {
+ return Math.min(fetchSize > 0 ? fetchSize : this.defaultFetchSize, MAX_FETCH_SIZE);
+ }
+
+ private void requireReadOnlyQuery(
+ final String sql
+ ) throws SqlParseException, UnsupportedSqlOperationException {
+ final SqlNode sqlNode;
+ try {
+ sqlNode = SqlParser.create(sql).parseStmt();
+ } catch (SqlParseException e) {
+ final String statementKeyword = this.findTopLevelStatementKeyword(sql);
+ if (statementKeyword != null && UNSUPPORTED_STATEMENT_KEYWORDS.contains(statementKeyword)) {
+ throw new UnsupportedSqlOperationException(
+ "Wayang JDBC is read-only; SQL statement kind "
+ + statementKeyword
+ + " is not supported."
+ );
+ }
+ throw e;
+ }
+
+ if (!this.isReadOnlyQuery(sqlNode)) {
+ throw new UnsupportedSqlOperationException(
+ "Wayang JDBC is read-only; SQL statement kind "
+ + sqlNode.getKind()
+ + " is not supported."
+ );
+ }
+ }
+
+ private boolean isReadOnlyQuery(final SqlNode sqlNode) {
+ if (sqlNode instanceof SqlWith) {
+ return this.isReadOnlyQuery(((SqlWith) sqlNode).body);
+ }
+ if (sqlNode instanceof SqlExplain) {
+ return this.isReadOnlyQuery(((SqlExplain) sqlNode).getExplicandum());
+ }
+ return sqlNode.getKind().belongsTo(SqlKind.QUERY);
+ }
+
+ private String findTopLevelStatementKeyword(final String sql) {
+ final List keywords = this.topLevelWords(sql);
+ if (keywords.isEmpty()) {
+ return null;
+ }
+
+ final String firstKeyword = keywords.get(0);
+ if (!"WITH".equals(firstKeyword) && !"EXPLAIN".equals(firstKeyword)) {
+ return firstKeyword;
+ }
+
+ for (int index = 1; index < keywords.size(); index++) {
+ final String keyword = keywords.get(index);
+ if (QUERY_STATEMENT_KEYWORDS.contains(keyword)
+ || UNSUPPORTED_STATEMENT_KEYWORDS.contains(keyword)) {
+ return keyword;
+ }
+ }
+ return firstKeyword;
+ }
+
+ private List topLevelWords(final String sql) {
+ final List words = new ArrayList<>();
+ int parenthesisDepth = 0;
+ int index = 0;
+ while (index < sql.length()) {
+ final char character = sql.charAt(index);
+ if (character == '-' && index + 1 < sql.length() && sql.charAt(index + 1) == '-') {
+ index = this.skipLineComment(sql, index + 2);
+ } else if (character == '/' && index + 1 < sql.length() && sql.charAt(index + 1) == '*') {
+ index = this.skipBlockComment(sql, index + 2);
+ } else if (character == '\'' || character == '"' || character == '`') {
+ index = this.skipQuotedText(sql, index + 1, character);
+ } else if (character == '[') {
+ index = this.skipQuotedText(sql, index + 1, ']');
+ } else if (character == '(') {
+ parenthesisDepth++;
+ index++;
+ } else if (character == ')') {
+ parenthesisDepth = Math.max(0, parenthesisDepth - 1);
+ index++;
+ } else if (parenthesisDepth == 0 && Character.isLetter(character)) {
+ final int wordStart = index;
+ index++;
+ while (index < sql.length()) {
+ final char wordCharacter = sql.charAt(index);
+ if (!Character.isLetterOrDigit(wordCharacter) && wordCharacter != '_') {
+ break;
+ }
+ index++;
+ }
+ words.add(sql.substring(wordStart, index).toUpperCase(Locale.ROOT));
+ } else {
+ index++;
+ }
+ }
+ return words;
+ }
+
+ private int skipLineComment(final String sql, final int startIndex) {
+ int index = startIndex;
+ while (index < sql.length() && sql.charAt(index) != '\n' && sql.charAt(index) != '\r') {
+ index++;
+ }
+ return index;
+ }
+
+ private int skipBlockComment(final String sql, final int startIndex) {
+ int index = startIndex;
+ while (index + 1 < sql.length()) {
+ if (sql.charAt(index) == '*' && sql.charAt(index + 1) == '/') {
+ return index + 2;
+ }
+ index++;
+ }
+ return sql.length();
+ }
+
+ private int skipQuotedText(final String sql, final int startIndex, final char quote) {
+ int index = startIndex;
+ while (index < sql.length()) {
+ if (sql.charAt(index) == quote) {
+ if (index + 1 < sql.length() && sql.charAt(index + 1) == quote) {
+ index += 2;
+ continue;
+ }
+ return index + 1;
+ }
+ index++;
+ }
+ return sql.length();
+ }
+
+ private void validateMetadataResponse(
+ final MetadataResultResponse response,
+ final String connectionId,
+ final MetadataType metadataType
+ ) {
+ if (response == null) {
+ throw new IllegalStateException("The metadata provider returned no result.");
+ }
+ if (!Objects.equals(connectionId, response.getConnectionId())) {
+ throw new IllegalStateException("The metadata provider returned a mismatched connection id.");
+ }
+ if (response.getMetadataType() != metadataType) {
+ throw new IllegalStateException("The metadata provider returned a mismatched metadata type.");
+ }
+ this.validateTabularResult(response.getColumns(), response.getRows(), "Metadata result");
+ }
+
+ private void validateTabularResult(
+ final List columns,
+ final List> rows,
+ final String resultName
+ ) {
+ if (columns == null || rows == null) {
+ throw new IllegalStateException(resultName + " columns and rows must not be null.");
+ }
+ for (final ColumnInfo column : columns) {
+ if (column == null) {
+ throw new IllegalStateException(resultName + " must not contain a null column.");
+ }
+ }
+ for (final List row : rows) {
+ if (row == null || row.size() != columns.size()) {
+ throw new IllegalStateException(
+ resultName + " row width does not match its column count."
+ );
+ }
+ }
+ }
+
+ private MessageEnvelope error(
+ final String requestId,
+ final ErrorCode errorCode,
+ final String sqlState,
+ final int vendorCode,
+ final String message,
+ final String detail,
+ final String exceptionClass
+ ) {
+ final ErrorResponse response = new ErrorResponse(
+ errorCode,
+ sqlState,
+ vendorCode,
+ message,
+ detail,
+ exceptionClass
+ );
+ return this.codec.toEnvelope(requestId, MessageType.ERROR, response);
+ }
+
+ private static class UnsupportedSqlOperationException extends Exception {
+
+ UnsupportedSqlOperationException(final String message) {
+ super(message);
+ }
+ }
+
+ private static class DispatcherClosedException extends IllegalStateException {
+
+ DispatcherClosedException(final String message) {
+ super(message);
+ }
+ }
+
+ private static class MetadataOperationException extends Exception {
+
+ MetadataOperationException(final String message, final Throwable cause) {
+ super(message, cause);
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcServerSession.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcServerSession.java
new file mode 100644
index 000000000..d4285dd46
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcServerSession.java
@@ -0,0 +1,73 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import java.util.LinkedHashMap;
+import java.util.Map;
+
+/**
+ * Server-side state for one logical JDBC connection.
+ */
+public final class JdbcServerSession {
+
+ private final String connectionId;
+
+ private final String clientId;
+
+ private final String username;
+
+ private final String database;
+
+ private final Map properties;
+
+ JdbcServerSession(
+ final String connectionId,
+ final String clientId,
+ final String username,
+ final String database,
+ final Map properties
+ ) {
+ this.connectionId = connectionId;
+ this.clientId = clientId;
+ this.username = username;
+ this.database = database;
+ this.properties = properties == null
+ ? new LinkedHashMap<>()
+ : new LinkedHashMap<>(properties);
+ }
+
+ public String getConnectionId() {
+ return this.connectionId;
+ }
+
+ String getClientId() {
+ return this.clientId;
+ }
+
+ public String getUsername() {
+ return this.username;
+ }
+
+ public String getDatabase() {
+ return this.database;
+ }
+
+ public Map getProperties() {
+ return new LinkedHashMap<>(this.properties);
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcServerSessionManager.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcServerSessionManager.java
new file mode 100644
index 000000000..ba1f5a3f1
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/JdbcServerSessionManager.java
@@ -0,0 +1,140 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.UUID;
+import java.util.concurrent.ConcurrentHashMap;
+
+/**
+ * Tracks logical JDBC connections managed by the server.
+ */
+class JdbcServerSessionManager {
+
+ private static final int DEFAULT_MAX_SESSIONS = 1024;
+
+ private static final int DEFAULT_MAX_SESSIONS_PER_CLIENT = 16;
+
+ private final Map sessions = new ConcurrentHashMap<>();
+
+ private final int maxSessions;
+
+ private final int maxSessionsPerClient;
+
+ JdbcServerSessionManager() {
+ this(DEFAULT_MAX_SESSIONS, DEFAULT_MAX_SESSIONS_PER_CLIENT);
+ }
+
+ JdbcServerSessionManager(final int maxSessions, final int maxSessionsPerClient) {
+ if (maxSessions <= 0) {
+ throw new IllegalArgumentException("Maximum session count must be positive.");
+ }
+ if (maxSessionsPerClient <= 0 || maxSessionsPerClient > maxSessions) {
+ throw new IllegalArgumentException(
+ "Maximum sessions per client must be positive and no greater than the total maximum."
+ );
+ }
+ this.maxSessions = maxSessions;
+ this.maxSessionsPerClient = maxSessionsPerClient;
+ }
+
+ String openConnection() {
+ return this.openConnection(null, null, null, null);
+ }
+
+ String openConnection(
+ final String username,
+ final String database,
+ final Map properties
+ ) {
+ return this.openConnection(null, username, database, properties);
+ }
+
+ synchronized String openConnection(
+ final String clientId,
+ final String username,
+ final String database,
+ final Map properties
+ ) {
+ if (this.sessions.size() >= this.maxSessions) {
+ throw new CapacityException("The JDBC server has reached its logical connection limit.");
+ }
+
+ final long clientSessionCount = this.sessions.values().stream()
+ .filter(session -> Objects.equals(clientId, session.getClientId()))
+ .count();
+ if (clientSessionCount >= this.maxSessionsPerClient) {
+ throw new CapacityException("This JDBC client has reached its logical connection limit.");
+ }
+
+ final String connectionId = UUID.randomUUID().toString();
+ this.sessions.put(
+ connectionId,
+ new JdbcServerSession(connectionId, clientId, username, database, properties)
+ );
+ return connectionId;
+ }
+
+ boolean isOpen(final String connectionId) {
+ return connectionId != null && this.sessions.containsKey(connectionId);
+ }
+
+ JdbcServerSession getSession(final String connectionId) {
+ return connectionId == null ? null : this.sessions.get(connectionId);
+ }
+
+ JdbcServerSession getSession(final String connectionId, final String clientId) {
+ final JdbcServerSession session = this.getSession(connectionId);
+ if (session == null || !Objects.equals(clientId, session.getClientId())) {
+ return null;
+ }
+ return session;
+ }
+
+ synchronized void closeConnection(final String connectionId) {
+ if (connectionId != null) {
+ this.sessions.remove(connectionId);
+ }
+ }
+
+ synchronized List closeClient(final String clientId) {
+ final List connectionIds = new ArrayList<>();
+ this.sessions.entrySet().removeIf(entry -> {
+ if (Objects.equals(clientId, entry.getValue().getClientId())) {
+ connectionIds.add(entry.getKey());
+ return true;
+ }
+ return false;
+ });
+ return connectionIds;
+ }
+
+ synchronized void clear() {
+ this.sessions.clear();
+ }
+
+ static class CapacityException extends IllegalStateException {
+
+ CapacityException(final String message) {
+ super(message);
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlMetadataProvider.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlMetadataProvider.java
new file mode 100644
index 000000000..63c7f8e9f
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlMetadataProvider.java
@@ -0,0 +1,46 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.wayang.jdbc.protocol.message.GetColumnsRequest;
+import org.apache.wayang.jdbc.protocol.message.GetSchemasRequest;
+import org.apache.wayang.jdbc.protocol.message.GetTablesRequest;
+import org.apache.wayang.jdbc.protocol.message.MetadataResultResponse;
+
+import java.sql.SQLException;
+
+/**
+ * Supplies metadata rows for JDBC {@link java.sql.DatabaseMetaData} requests.
+ */
+public interface SqlMetadataProvider {
+
+ MetadataResultResponse getSchemas(
+ JdbcServerSession session,
+ GetSchemasRequest request
+ ) throws SQLException;
+
+ MetadataResultResponse getTables(
+ JdbcServerSession session,
+ GetTablesRequest request
+ ) throws SQLException;
+
+ MetadataResultResponse getColumns(
+ JdbcServerSession session,
+ GetColumnsRequest request
+ ) throws SQLException;
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlQueryExecutor.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlQueryExecutor.java
new file mode 100644
index 000000000..7bec90229
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlQueryExecutor.java
@@ -0,0 +1,29 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.calcite.sql.parser.SqlParseException;
+import org.apache.wayang.api.sql.context.SqlQueryResult;
+
+/**
+ * Executes SQL for the JDBC server.
+ */
+public interface SqlQueryExecutor {
+
+ SqlQueryResult execute(String sql) throws SqlParseException;
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlQueryResultAdapter.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlQueryResultAdapter.java
new file mode 100644
index 000000000..cad4928db
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/SqlQueryResultAdapter.java
@@ -0,0 +1,200 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.wayang.api.sql.context.SqlColumn;
+import org.apache.wayang.api.sql.context.SqlQueryResult;
+import org.apache.wayang.basic.data.Record;
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+
+import java.math.BigDecimal;
+import java.math.BigInteger;
+import java.sql.ResultSetMetaData;
+import java.sql.Time;
+import java.sql.Timestamp;
+import java.sql.Types;
+import java.time.Instant;
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.time.LocalTime;
+import java.time.OffsetDateTime;
+import java.time.OffsetTime;
+import java.time.ZonedDateTime;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.stream.Collectors;
+
+/**
+ * Converts SQL API results into JDBC protocol result structures.
+ */
+final class SqlQueryResultAdapter {
+
+ private SqlQueryResultAdapter() {
+ }
+
+ static List toColumnInfo(final SqlQueryResult result) {
+ return result.getColumns().stream()
+ .map(SqlQueryResultAdapter::toColumnInfo)
+ .collect(Collectors.toList());
+ }
+
+ static List> toRows(final SqlQueryResult result) {
+ final List columns = result.getColumns();
+ final List> rows = new ArrayList<>();
+ for (final Record record : result.getRows()) {
+ final Object[] values = record.getValues();
+ if (values.length != columns.size()) {
+ throw new IllegalStateException(
+ "Query result row width does not match its column count."
+ );
+ }
+ final List row = new ArrayList<>(values.length);
+ for (int index = 0; index < values.length; index++) {
+ row.add(normalizeWireValue(values[index], columns.get(index)));
+ }
+ rows.add(row);
+ }
+ return rows;
+ }
+
+ /**
+ * Converts values that Jackson cannot represent portably without type
+ * information into stable JDBC wire representations. Numeric values stay
+ * numeric so that the driver can coerce them using {@link ColumnInfo};
+ * temporal values use ISO text to avoid default-time-zone shifts.
+ */
+ private static Object normalizeWireValue(final Object value, final SqlColumn column) {
+ if (value == null) {
+ return value;
+ }
+
+ final Object normalizedValue;
+ switch (column.getJdbcType()) {
+ case Types.DATE:
+ if (value instanceof java.sql.Date) {
+ normalizedValue = ((java.sql.Date) value).toLocalDate().toString();
+ break;
+ }
+ if (value instanceof LocalDate) {
+ normalizedValue = value.toString();
+ break;
+ }
+ normalizedValue = value;
+ break;
+ case Types.TIME:
+ if (value instanceof Time) {
+ normalizedValue = ((Time) value).toLocalTime().toString();
+ break;
+ }
+ if (value instanceof LocalTime) {
+ normalizedValue = value.toString();
+ break;
+ }
+ normalizedValue = value;
+ break;
+ case Types.TIME_WITH_TIMEZONE:
+ if (value instanceof OffsetTime) {
+ normalizedValue = value.toString();
+ break;
+ }
+ normalizedValue = value;
+ break;
+ case Types.TIMESTAMP:
+ if (value instanceof Timestamp) {
+ normalizedValue = ((Timestamp) value).toLocalDateTime().toString();
+ break;
+ }
+ if (value instanceof LocalDateTime || value instanceof Instant) {
+ normalizedValue = value.toString();
+ break;
+ }
+ normalizedValue = value;
+ break;
+ case Types.TIMESTAMP_WITH_TIMEZONE:
+ if (value instanceof OffsetDateTime || value instanceof Instant) {
+ normalizedValue = value.toString();
+ break;
+ }
+ if (value instanceof ZonedDateTime) {
+ normalizedValue = ((ZonedDateTime) value).toOffsetDateTime().toString();
+ break;
+ }
+ normalizedValue = value;
+ break;
+ default:
+ normalizedValue = value;
+ break;
+ }
+ return requireWireScalar(normalizedValue, column);
+ }
+
+ private static Object requireWireScalar(final Object value, final SqlColumn column) {
+ if (value == null || value instanceof String || value instanceof Boolean) {
+ return value;
+ }
+ if (value instanceof Character) {
+ return value.toString();
+ }
+ if (value instanceof byte[]) {
+ return ((byte[]) value).clone();
+ }
+ if (value instanceof Double && !Double.isFinite((Double) value)) {
+ throw unsupportedWireValue(value, column);
+ }
+ if (value instanceof Float && !Float.isFinite((Float) value)) {
+ throw unsupportedWireValue(value, column);
+ }
+ if (value instanceof Byte
+ || value instanceof Short
+ || value instanceof Integer
+ || value instanceof Long
+ || value instanceof Float
+ || value instanceof Double
+ || value instanceof BigInteger
+ || value instanceof BigDecimal) {
+ return value;
+ }
+ throw unsupportedWireValue(value, column);
+ }
+
+ private static IllegalStateException unsupportedWireValue(
+ final Object value,
+ final SqlColumn column
+ ) {
+ return new IllegalStateException(
+ "Query result column '"
+ + column.getLabel()
+ + "' contains a value that cannot be represented by the JDBC protocol: "
+ + value.getClass().getName()
+ );
+ }
+
+ private static ColumnInfo toColumnInfo(final SqlColumn column) {
+ return new ColumnInfo(
+ column.getName(),
+ column.getLabel(),
+ null,
+ null,
+ column.getTypeName(),
+ column.getJdbcType(),
+ column.isNullable() ? ResultSetMetaData.columnNullable : ResultSetMetaData.columnNoNulls,
+ column.getPrecision(),
+ column.getScale()
+ );
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/WayangJdbcServer.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/WayangJdbcServer.java
new file mode 100644
index 000000000..9c7e873b4
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/WayangJdbcServer.java
@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.wayang.core.api.Configuration;
+import org.apache.wayang.jdbc.protocol.ProtocolConstants;
+
+import java.io.IOException;
+import java.net.InetAddress;
+import java.net.InetSocketAddress;
+import java.net.ServerSocket;
+import java.net.Socket;
+import java.sql.SQLException;
+import java.util.Set;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.CountDownLatch;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.RejectedExecutionException;
+import java.util.concurrent.SynchronousQueue;
+import java.util.concurrent.ThreadPoolExecutor;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.concurrent.atomic.AtomicInteger;
+
+/**
+ * TCP server for the external Wayang JDBC protocol.
+ */
+public class WayangJdbcServer implements AutoCloseable {
+
+ private static final int ACCEPT_BACKLOG = 50;
+
+ private static final int MAX_CLIENT_CONNECTIONS = 64;
+
+ private static final long SHUTDOWN_TIMEOUT_SECONDS = 5;
+
+ private final String host;
+
+ private final int port;
+
+ private final JdbcRequestDispatcher dispatcher;
+
+ private final ExecutorService clientExecutor;
+
+ private final Set clientSockets = ConcurrentHashMap.newKeySet();
+
+ private final AtomicBoolean running = new AtomicBoolean(false);
+
+ private final AtomicBoolean closed = new AtomicBoolean(false);
+
+ private final CountDownLatch termination = new CountDownLatch(1);
+
+ private volatile ServerSocket serverSocket;
+
+ private volatile Thread acceptThread;
+
+ public WayangJdbcServer(
+ final String host,
+ final int port,
+ final SqlQueryExecutor queryExecutor
+ ) {
+ this(host, port, new JdbcRequestDispatcher(queryExecutor));
+ }
+
+ WayangJdbcServer(
+ final String host,
+ final int port,
+ final SqlQueryExecutor queryExecutor,
+ final SqlMetadataProvider metadataProvider
+ ) {
+ this(host, port, new JdbcRequestDispatcher(queryExecutor, metadataProvider));
+ }
+
+ private WayangJdbcServer(
+ final String host,
+ final int port,
+ final JdbcRequestDispatcher dispatcher
+ ) {
+ if (host == null || host.isBlank()) {
+ throw new IllegalArgumentException("Server host must not be blank.");
+ }
+ if (port < 0 || port > 65535) {
+ throw new IllegalArgumentException("Server port must be between 0 and 65535.");
+ }
+ this.host = host;
+ this.port = port;
+ this.dispatcher = dispatcher;
+ final AtomicInteger threadId = new AtomicInteger();
+ this.clientExecutor = new ThreadPoolExecutor(
+ 0,
+ MAX_CLIENT_CONNECTIONS,
+ 60L,
+ TimeUnit.SECONDS,
+ new SynchronousQueue<>(),
+ runnable -> {
+ final Thread thread = new Thread(
+ runnable,
+ "wayang-jdbc-client-" + threadId.incrementAndGet()
+ );
+ thread.setDaemon(true);
+ return thread;
+ },
+ new ThreadPoolExecutor.AbortPolicy()
+ );
+ }
+
+ public synchronized void start() throws IOException {
+ if (this.closed.get()) {
+ throw new IllegalStateException("Wayang JDBC server is closed.");
+ }
+ if (this.running.get()) {
+ throw new IllegalStateException("Wayang JDBC server is already running.");
+ }
+
+ final ServerSocket newServerSocket = new ServerSocket();
+ try {
+ newServerSocket.setReuseAddress(true);
+ newServerSocket.bind(
+ new InetSocketAddress(InetAddress.getByName(this.host), this.port),
+ ACCEPT_BACKLOG
+ );
+ this.serverSocket = newServerSocket;
+ this.running.set(true);
+ this.acceptThread = new Thread(this::acceptLoop, "wayang-jdbc-server-accept");
+ this.acceptThread.setDaemon(true);
+ this.acceptThread.start();
+ } catch (IOException | RuntimeException e) {
+ this.running.set(false);
+ this.serverSocket = null;
+ try {
+ newServerSocket.close();
+ } catch (IOException closeException) {
+ e.addSuppressed(closeException);
+ }
+ throw e;
+ }
+ }
+
+ public int getPort() {
+ if (this.serverSocket == null) {
+ return this.port;
+ }
+ return this.serverSocket.getLocalPort();
+ }
+
+ public void awaitTermination() throws InterruptedException {
+ this.termination.await();
+ }
+
+ @Override
+ public synchronized void close() throws IOException {
+ if (!this.closed.compareAndSet(false, true)) {
+ return;
+ }
+
+ this.running.set(false);
+ IOException failure = null;
+ final ServerSocket currentServerSocket = this.serverSocket;
+ if (currentServerSocket != null) {
+ try {
+ currentServerSocket.close();
+ } catch (IOException e) {
+ failure = e;
+ }
+ }
+ for (final Socket clientSocket : this.clientSockets) {
+ try {
+ clientSocket.close();
+ } catch (IOException e) {
+ if (failure == null) {
+ failure = e;
+ } else {
+ failure.addSuppressed(e);
+ }
+ }
+ }
+ this.clientSockets.clear();
+ this.clientExecutor.shutdownNow();
+
+ final Thread currentAcceptThread = this.acceptThread;
+ if (currentAcceptThread != null && currentAcceptThread != Thread.currentThread()) {
+ try {
+ currentAcceptThread.join(TimeUnit.SECONDS.toMillis(SHUTDOWN_TIMEOUT_SECONDS));
+ } catch (InterruptedException e) {
+ Thread.currentThread().interrupt();
+ }
+ }
+ try {
+ this.clientExecutor.awaitTermination(SHUTDOWN_TIMEOUT_SECONDS, TimeUnit.SECONDS);
+ } catch (InterruptedException e) {
+ Thread.currentThread().interrupt();
+ }
+ this.dispatcher.close();
+ this.termination.countDown();
+
+ if (failure != null) {
+ throw failure;
+ }
+ }
+
+ public static void main(final String[] args) throws IOException, SQLException, InterruptedException {
+ final String host = args.length > 0 ? args[0] : "127.0.0.1";
+ final int port = args.length > 1 ? Integer.parseInt(args[1]) : ProtocolConstants.DEFAULT_PORT;
+ final Configuration configuration = args.length > 2 ? new Configuration(args[2]) : new Configuration();
+
+ final WayangJdbcServer server = new WayangJdbcServer(
+ host,
+ port,
+ new WayangSqlQueryExecutor(configuration)
+ );
+ Runtime.getRuntime().addShutdownHook(new Thread(() -> {
+ try {
+ server.close();
+ } catch (IOException ignored) {
+ }
+ }));
+ server.start();
+ server.awaitTermination();
+ }
+
+ private void acceptLoop() {
+ while (this.running.get()) {
+ try {
+ final Socket socket = this.serverSocket.accept();
+ try {
+ socket.setKeepAlive(true);
+ socket.setTcpNoDelay(true);
+ } catch (IOException e) {
+ this.closeClientSocket(socket);
+ continue;
+ }
+ this.clientSockets.add(socket);
+ if (!this.running.get()) {
+ this.closeClientSocket(socket);
+ return;
+ }
+ try {
+ this.clientExecutor.submit(new JdbcClientHandler(
+ socket,
+ this.dispatcher,
+ () -> this.clientSockets.remove(socket)
+ ));
+ } catch (RejectedExecutionException e) {
+ this.closeClientSocket(socket);
+ }
+ } catch (IOException | RuntimeException e) {
+ if (this.running.get()) {
+ try {
+ this.close();
+ } catch (IOException closeException) {
+ e.addSuppressed(closeException);
+ }
+ }
+ return;
+ }
+ }
+ }
+
+ private void closeClientSocket(final Socket socket) {
+ this.clientSockets.remove(socket);
+ try {
+ socket.close();
+ } catch (IOException ignored) {
+ // The socket is already unusable; no additional recovery is possible.
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/WayangSqlQueryExecutor.java b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/WayangSqlQueryExecutor.java
new file mode 100644
index 000000000..1b3036dfb
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/main/java/org/apache/wayang/jdbc/server/WayangSqlQueryExecutor.java
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.calcite.sql.parser.SqlParseException;
+import org.apache.wayang.api.sql.context.SqlContext;
+import org.apache.wayang.api.sql.context.SqlQueryResult;
+import org.apache.wayang.core.api.Configuration;
+
+import java.sql.SQLException;
+
+/**
+ * Delegates JDBC server query execution to the Wayang SQL API.
+ */
+public class WayangSqlQueryExecutor implements SqlQueryExecutor {
+
+ private final SqlContext sqlContext;
+
+ public WayangSqlQueryExecutor(final Configuration configuration) throws SQLException {
+ this(new SqlContext(configuration));
+ }
+
+ public WayangSqlQueryExecutor(final SqlContext sqlContext) {
+ if (sqlContext == null) {
+ throw new IllegalArgumentException("SQL context must not be null.");
+ }
+ this.sqlContext = sqlContext;
+ }
+
+ /**
+ * Returns the SQL context used by this executor so that server components
+ * can use the same configured Calcite catalog for metadata discovery.
+ */
+ public SqlContext getSqlContext() {
+ return this.sqlContext;
+ }
+
+ @Override
+ public SqlQueryResult execute(final String sql) throws SqlParseException {
+ return this.sqlContext.executeSqlWithMetadata(sql);
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/CursorStoreTest.java b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/CursorStoreTest.java
new file mode 100644
index 000000000..a59557c98
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/CursorStoreTest.java
@@ -0,0 +1,119 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.junit.jupiter.api.Test;
+
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+import java.util.concurrent.atomic.AtomicReference;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertNull;
+import static org.junit.jupiter.api.Assertions.assertThrows;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+class CursorStoreTest {
+
+ @Test
+ void fetchAdvancesOnlyAfterResponseFactorySucceeds() {
+ final CursorStore store = new CursorStore();
+ final String cursorId = store.openCursor("connection-1", "statement-1", rows(), 0);
+
+ assertThrows(
+ IllegalStateException.class,
+ () -> store.fetch("connection-1", cursorId, 2, batch -> {
+ throw new IllegalStateException("Could not encode response.");
+ })
+ );
+
+ final CursorStore.FetchBatch firstBatch = store.fetch("connection-1", cursorId, 2);
+ assertEquals(Arrays.asList(Collections.singletonList(1), Collections.singletonList(2)), firstBatch.getRows());
+ assertTrue(firstBatch.hasMoreRows());
+
+ final CursorStore.FetchBatch secondBatch = store.fetch("connection-1", cursorId, 2);
+ assertEquals(Collections.singletonList(Collections.singletonList(3)), secondBatch.getRows());
+ assertFalse(secondBatch.hasMoreRows());
+ assertNull(store.fetch("connection-1", cursorId, 1));
+ }
+
+ @Test
+ void openCursorAddsOnlyAfterResponseFactorySucceeds() {
+ final CursorStore store = new CursorStore();
+ final AtomicReference exposedCursorId = new AtomicReference<>();
+
+ assertThrows(
+ IllegalStateException.class,
+ () -> store.openCursor("connection-1", "statement-1", rows(), 1, cursorId -> {
+ exposedCursorId.set(cursorId);
+ throw new IllegalStateException("Could not build response.");
+ })
+ );
+
+ assertNull(store.fetch("connection-1", exposedCursorId.get(), 1));
+ }
+
+ @Test
+ void openingCursorForStatementReplacesPreviousCursor() {
+ final CursorStore store = new CursorStore();
+ final String firstCursorId = store.openCursor("connection-1", "statement-1", rows(), 0);
+ final String secondCursorId = store.openCursor("connection-1", "statement-1", rows(), 1);
+
+ assertNull(store.fetch("connection-1", firstCursorId, 1));
+ assertEquals(
+ Collections.singletonList(Collections.singletonList(2)),
+ store.fetch("connection-1", secondCursorId, 1).getRows()
+ );
+ }
+
+ @Test
+ void closeConnectionRemovesConnectionCursorsOnly() {
+ final CursorStore store = new CursorStore();
+ final String firstCursorId = store.openCursor("connection-1", "statement-1", rows(), 0);
+ final String secondCursorId = store.openCursor("connection-2", "statement-1", rows(), 0);
+
+ store.closeConnection("connection-1");
+
+ assertNull(store.fetch("connection-1", firstCursorId, 1));
+ assertEquals(
+ Collections.singletonList(Collections.singletonList(1)),
+ store.fetch("connection-2", secondCursorId, 1).getRows()
+ );
+ }
+
+ @Test
+ void enforcesCursorCapacity() {
+ final CursorStore store = new CursorStore(1, 1);
+ store.openCursor("connection-1", "statement-1", rows(), 0);
+
+ assertThrows(
+ CursorStore.CapacityException.class,
+ () -> store.openCursor("connection-2", "statement-1", rows(), 0)
+ );
+ }
+
+ private static List> rows() {
+ return Arrays.asList(
+ Collections.singletonList(1),
+ Collections.singletonList(2),
+ Collections.singletonList(3)
+ );
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/DefaultSqlMetadataProviderTest.java b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/DefaultSqlMetadataProviderTest.java
new file mode 100644
index 000000000..c58b504f9
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/DefaultSqlMetadataProviderTest.java
@@ -0,0 +1,160 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.wayang.api.sql.context.SqlCatalogMetadata;
+import org.apache.wayang.api.sql.context.SqlColumn;
+import org.apache.wayang.api.sql.context.SqlContext;
+import org.apache.wayang.api.sql.context.SqlSchemaMetadata;
+import org.apache.wayang.api.sql.context.SqlTableMetadata;
+import org.apache.wayang.jdbc.protocol.message.GetColumnsRequest;
+import org.apache.wayang.jdbc.protocol.message.GetSchemasRequest;
+import org.apache.wayang.jdbc.protocol.message.GetTablesRequest;
+import org.apache.wayang.jdbc.protocol.message.MetadataResultResponse;
+import org.apache.wayang.jdbc.protocol.message.MetadataType;
+
+import org.junit.jupiter.api.Test;
+
+import java.sql.DatabaseMetaData;
+import java.sql.Types;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.mockito.Mockito.mock;
+import static org.mockito.Mockito.when;
+
+class DefaultSqlMetadataProviderTest {
+
+ @Test
+ void getSchemasAppliesExactCatalogAndCaseSensitivePattern() throws Exception {
+ final DefaultSqlMetadataProvider provider = this.provider();
+ final JdbcServerSession session = session();
+
+ final MetadataResultResponse response = provider.getSchemas(
+ session,
+ new GetSchemasRequest("connection-1", "analytics", "Pub%")
+ );
+ assertEquals(MetadataType.SCHEMAS, response.getMetadataType());
+ assertEquals(Collections.singletonList(Arrays.asList("Public", "analytics")), response.getRows());
+
+ final MetadataResultResponse lowerCasePatternResponse = provider.getSchemas(
+ session,
+ new GetSchemasRequest("connection-1", "analytics", "pub%")
+ );
+ assertEquals(Collections.emptyList(), lowerCasePatternResponse.getRows());
+
+ final MetadataResultResponse catalogPatternResponse = provider.getSchemas(
+ session,
+ new GetSchemasRequest("connection-1", "ana%", "Pub%")
+ );
+ assertEquals(Collections.emptyList(), catalogPatternResponse.getRows());
+ }
+
+ @Test
+ void getTablesAppliesPatternTypeAndSortOrder() throws Exception {
+ final DefaultSqlMetadataProvider provider = this.provider();
+
+ final MetadataResultResponse response = provider.getTables(
+ session(),
+ new GetTablesRequest("connection-1", "analytics", "%", "%PEOPLE", List.of("TABLE"))
+ );
+
+ assertEquals(MetadataType.TABLES, response.getMetadataType());
+ assertEquals(1, response.getRows().size());
+ assertEquals("Public", response.getRows().get(0).get(1));
+ assertEquals("PEOPLE", response.getRows().get(0).get(2));
+ assertEquals("TABLE", response.getRows().get(0).get(3));
+
+ final MetadataResultResponse emptyTypesResponse = provider.getTables(
+ session(),
+ new GetTablesRequest("connection-1", "analytics", "%", "%PEOPLE", Collections.emptyList())
+ );
+ assertEquals(Collections.emptyList(), emptyTypesResponse.getRows());
+ }
+
+ @Test
+ void getColumnsAppliesEscapedPatternAndColumnAttributes() throws Exception {
+ final DefaultSqlMetadataProvider provider = this.provider();
+
+ final MetadataResultResponse response = provider.getColumns(
+ session(),
+ new GetColumnsRequest("connection-1", "analytics", "Public", "PEOPLE", "NA\\_ME")
+ );
+
+ assertEquals(MetadataType.COLUMNS, response.getMetadataType());
+ assertEquals(1, response.getRows().size());
+
+ final List row = response.getRows().get(0);
+ assertEquals("analytics", row.get(0));
+ assertEquals("Public", row.get(1));
+ assertEquals("PEOPLE", row.get(2));
+ assertEquals("NA_ME", row.get(3));
+ assertEquals(Types.VARCHAR, row.get(4));
+ assertEquals("VARCHAR", row.get(5));
+ assertEquals(64, row.get(6));
+ assertEquals(DatabaseMetaData.columnNullable, row.get(10));
+ assertEquals(2, row.get(16));
+ assertEquals("YES", row.get(17));
+ assertEquals("NO", row.get(22));
+ assertEquals("NO", row.get(23));
+ }
+
+ @Test
+ void getColumnsOrdersByCatalogSchemaTableAndOrdinal() throws Exception {
+ final DefaultSqlMetadataProvider provider = this.provider();
+
+ final MetadataResultResponse response = provider.getColumns(
+ session(),
+ new GetColumnsRequest("connection-1", "analytics", "%", "%", "%")
+ );
+
+ assertEquals(Arrays.asList("ID", "NA_ME", "VIEW_ID"), Arrays.asList(
+ response.getRows().get(0).get(3),
+ response.getRows().get(1).get(3),
+ response.getRows().get(2).get(3)
+ ));
+ }
+
+ private DefaultSqlMetadataProvider provider() throws Exception {
+ final SqlContext sqlContext = mock(SqlContext.class);
+ when(sqlContext.getCatalogMetadata()).thenReturn(new SqlCatalogMetadata(Collections.singletonList(
+ new SqlSchemaMetadata("Public", Arrays.asList(
+ new SqlTableMetadata("PEOPLE", "TABLE", Arrays.asList(
+ new SqlColumn("ID", "ID", "INTEGER", Types.INTEGER, 10, 0, false),
+ new SqlColumn("NA_ME", "NA_ME", "VARCHAR", Types.VARCHAR, 64, 0, true)
+ )),
+ new SqlTableMetadata("V_PEOPLE", "VIEW", Collections.singletonList(
+ new SqlColumn("VIEW_ID", "VIEW_ID", "INTEGER", Types.INTEGER, 10, 0, false)
+ ))
+ ))
+ )));
+ return new DefaultSqlMetadataProvider(sqlContext);
+ }
+
+ private static JdbcServerSession session() {
+ return new JdbcServerSession(
+ "connection-1",
+ "client-1",
+ "user",
+ "analytics",
+ Collections.emptyMap()
+ );
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/JdbcRequestDispatcherTest.java b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/JdbcRequestDispatcherTest.java
new file mode 100644
index 000000000..5c26efbb4
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/JdbcRequestDispatcherTest.java
@@ -0,0 +1,241 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.calcite.sql.parser.SqlParseException;
+import org.apache.wayang.api.sql.context.SqlColumn;
+import org.apache.wayang.api.sql.context.SqlQueryResult;
+import org.apache.wayang.basic.data.Record;
+import org.apache.wayang.jdbc.protocol.MessageEnvelope;
+import org.apache.wayang.jdbc.protocol.MessageType;
+import org.apache.wayang.jdbc.protocol.io.ProtocolMessageCodec;
+import org.apache.wayang.jdbc.protocol.message.CloseConnectionRequest;
+import org.apache.wayang.jdbc.protocol.message.ErrorCode;
+import org.apache.wayang.jdbc.protocol.message.ErrorResponse;
+import org.apache.wayang.jdbc.protocol.message.ExecuteQueryRequest;
+import org.apache.wayang.jdbc.protocol.message.FetchRequest;
+import org.apache.wayang.jdbc.protocol.message.FetchResponse;
+import org.apache.wayang.jdbc.protocol.message.OpenConnectionRequest;
+import org.apache.wayang.jdbc.protocol.message.OpenConnectionResponse;
+import org.apache.wayang.jdbc.protocol.message.QueryResultResponse;
+
+import org.junit.jupiter.api.Test;
+
+import java.sql.Types;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertNotNull;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+class JdbcRequestDispatcherTest {
+
+ private final ProtocolMessageCodec codec = new ProtocolMessageCodec();
+
+ @Test
+ void rejectsWriteSqlBeforeExecution() throws Exception {
+ final RecordingQueryExecutor executor = new RecordingQueryExecutor();
+ final JdbcRequestDispatcher dispatcher = new JdbcRequestDispatcher(executor, new DefaultSqlMetadataProvider());
+ final String connectionId = this.openConnection(dispatcher, "client-a");
+
+ final MessageEnvelope response = dispatcher.dispatch(
+ this.request(
+ "execute-1",
+ MessageType.EXECUTE_QUERY,
+ new ExecuteQueryRequest(connectionId, "statement-1", "INSERT INTO t VALUES (1)", 1)
+ ),
+ "client-a"
+ );
+ final ErrorResponse error = this.payloadAs(response, ErrorResponse.class);
+
+ assertEquals(MessageType.ERROR, response.getType());
+ assertEquals(ErrorCode.UNSUPPORTED_OPERATION, error.getErrorCode());
+ assertEquals("0A000", error.getSqlState());
+ assertEquals(Collections.emptyList(), executor.getExecutedSql());
+ }
+
+ @Test
+ void pagesAndClosesCursorAfterFinalFetch() throws Exception {
+ final JdbcRequestDispatcher dispatcher = new JdbcRequestDispatcher(
+ new RecordingQueryExecutor(),
+ new DefaultSqlMetadataProvider()
+ );
+ final String connectionId = this.openConnection(dispatcher, "client-a");
+
+ final MessageEnvelope executeResponse = dispatcher.dispatch(
+ this.request(
+ "execute-1",
+ MessageType.EXECUTE_QUERY,
+ new ExecuteQueryRequest(connectionId, "statement-1", "SELECT * FROM t", 1)
+ ),
+ "client-a"
+ );
+ final QueryResultResponse firstBatch = this.payloadAs(executeResponse, QueryResultResponse.class);
+ assertEquals(MessageType.QUERY_RESULT, executeResponse.getType());
+ assertEquals(Collections.singletonList(Collections.singletonList(1)), firstBatch.getRows());
+ assertTrue(firstBatch.isHasMoreRows());
+ assertNotNull(firstBatch.getCursorId());
+
+ final MessageEnvelope fetchResponse = dispatcher.dispatch(
+ this.request(
+ "fetch-1",
+ MessageType.FETCH,
+ new FetchRequest(connectionId, firstBatch.getCursorId(), 5)
+ ),
+ "client-a"
+ );
+ final FetchResponse finalBatch = this.payloadAs(fetchResponse, FetchResponse.class);
+
+ assertEquals(MessageType.FETCH_RESULT, fetchResponse.getType());
+ assertEquals(
+ Arrays.asList(Collections.singletonList(2), Collections.singletonList(3)),
+ finalBatch.getRows()
+ );
+ assertFalse(finalBatch.isHasMoreRows());
+
+ final MessageEnvelope staleFetchResponse = dispatcher.dispatch(
+ this.request(
+ "fetch-2",
+ MessageType.FETCH,
+ new FetchRequest(connectionId, firstBatch.getCursorId(), 1)
+ ),
+ "client-a"
+ );
+ final ErrorResponse staleFetchError = this.payloadAs(staleFetchResponse, ErrorResponse.class);
+ assertEquals(MessageType.ERROR, staleFetchResponse.getType());
+ assertEquals(ErrorCode.INVALID_REQUEST, staleFetchError.getErrorCode());
+ }
+
+ @Test
+ void enforcesClientOwnership() throws Exception {
+ final JdbcRequestDispatcher dispatcher = new JdbcRequestDispatcher(
+ new RecordingQueryExecutor(),
+ new DefaultSqlMetadataProvider()
+ );
+ final String connectionId = this.openConnection(dispatcher, "client-a");
+
+ final MessageEnvelope response = dispatcher.dispatch(
+ this.request(
+ "execute-1",
+ MessageType.EXECUTE_QUERY,
+ new ExecuteQueryRequest(connectionId, "statement-1", "SELECT * FROM t", 1)
+ ),
+ "client-b"
+ );
+ final ErrorResponse error = this.payloadAs(response, ErrorResponse.class);
+
+ assertEquals(MessageType.ERROR, response.getType());
+ assertEquals(ErrorCode.INVALID_REQUEST, error.getErrorCode());
+ }
+
+ @Test
+ void closeConnectionReleasesCursors() throws Exception {
+ final JdbcRequestDispatcher dispatcher = new JdbcRequestDispatcher(
+ new RecordingQueryExecutor(),
+ new DefaultSqlMetadataProvider()
+ );
+ final String connectionId = this.openConnection(dispatcher, "client-a");
+ final QueryResultResponse firstBatch = this.payloadAs(
+ dispatcher.dispatch(
+ this.request(
+ "execute-1",
+ MessageType.EXECUTE_QUERY,
+ new ExecuteQueryRequest(connectionId, "statement-1", "SELECT * FROM t", 1)
+ ),
+ "client-a"
+ ),
+ QueryResultResponse.class
+ );
+
+ final MessageEnvelope closeResponse = dispatcher.dispatch(
+ this.request(
+ "close-1",
+ MessageType.CLOSE_CONNECTION,
+ new CloseConnectionRequest(connectionId)
+ ),
+ "client-a"
+ );
+ assertEquals(MessageType.CLOSE_CONNECTION_OK, closeResponse.getType());
+
+ final MessageEnvelope fetchResponse = dispatcher.dispatch(
+ this.request(
+ "fetch-1",
+ MessageType.FETCH,
+ new FetchRequest(connectionId, firstBatch.getCursorId(), 1)
+ ),
+ "client-a"
+ );
+ final ErrorResponse error = this.payloadAs(fetchResponse, ErrorResponse.class);
+ assertEquals(MessageType.ERROR, fetchResponse.getType());
+ assertEquals(ErrorCode.INVALID_REQUEST, error.getErrorCode());
+ }
+
+ private String openConnection(
+ final JdbcRequestDispatcher dispatcher,
+ final String clientId
+ ) throws Exception {
+ final MessageEnvelope response = dispatcher.dispatch(
+ this.request(
+ "open-1",
+ MessageType.OPEN_CONNECTION,
+ new OpenConnectionRequest("user", "analytics", Collections.emptyMap())
+ ),
+ clientId
+ );
+ final OpenConnectionResponse payload = this.payloadAs(response, OpenConnectionResponse.class);
+ assertEquals(MessageType.OPEN_CONNECTION_OK, response.getType());
+ return payload.getConnectionId();
+ }
+
+ private MessageEnvelope request(
+ final String requestId,
+ final MessageType messageType,
+ final Object payload
+ ) {
+ return this.codec.toEnvelope(requestId, messageType, payload);
+ }
+
+ private T payloadAs(
+ final MessageEnvelope envelope,
+ final Class payloadClass
+ ) throws Exception {
+ return this.codec.payloadAs(envelope, payloadClass);
+ }
+
+ private static class RecordingQueryExecutor implements SqlQueryExecutor {
+
+ private final List executedSql = new ArrayList<>();
+
+ @Override
+ public SqlQueryResult execute(final String sql) throws SqlParseException {
+ this.executedSql.add(sql);
+ return new SqlQueryResult(
+ Collections.singletonList(new SqlColumn("VALUE", "VALUE", "INTEGER", Types.INTEGER, 10, 0, false)),
+ Arrays.asList(new Record(1), new Record(2), new Record(3))
+ );
+ }
+
+ List getExecutedSql() {
+ return List.copyOf(this.executedSql);
+ }
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/JdbcServerSessionManagerTest.java b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/JdbcServerSessionManagerTest.java
new file mode 100644
index 000000000..811c2ba24
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/JdbcServerSessionManagerTest.java
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.junit.jupiter.api.Test;
+
+import java.util.Collections;
+import java.util.List;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertNotNull;
+import static org.junit.jupiter.api.Assertions.assertNull;
+import static org.junit.jupiter.api.Assertions.assertThrows;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+class JdbcServerSessionManagerTest {
+
+ @Test
+ void enforcesClientOwnershipAndCapacity() {
+ final JdbcServerSessionManager manager = new JdbcServerSessionManager(2, 1);
+
+ final String firstConnectionId = manager.openConnection(
+ "client-a",
+ "user-a",
+ "analytics",
+ Collections.singletonMap("property", "value")
+ );
+
+ final JdbcServerSession session = manager.getSession(firstConnectionId, "client-a");
+ assertNotNull(session);
+ assertEquals("client-a", session.getClientId());
+ assertEquals("user-a", session.getUsername());
+ assertEquals("analytics", session.getDatabase());
+ assertEquals("value", session.getProperties().get("property"));
+ assertNull(manager.getSession(firstConnectionId, "client-b"));
+
+ assertThrows(
+ JdbcServerSessionManager.CapacityException.class,
+ () -> manager.openConnection("client-a", null, null, null)
+ );
+
+ final String secondConnectionId = manager.openConnection("client-b", null, null, null);
+ assertTrue(manager.isOpen(secondConnectionId));
+
+ assertThrows(
+ JdbcServerSessionManager.CapacityException.class,
+ () -> manager.openConnection("client-c", null, null, null)
+ );
+ }
+
+ @Test
+ void closeClientRemovesOnlyOwnedSessions() {
+ final JdbcServerSessionManager manager = new JdbcServerSessionManager(3, 2);
+ final String firstConnectionId = manager.openConnection("client-a", null, null, null);
+ final String secondConnectionId = manager.openConnection("client-a", null, null, null);
+ final String thirdConnectionId = manager.openConnection("client-b", null, null, null);
+
+ final List closedConnectionIds = manager.closeClient("client-a");
+
+ assertEquals(2, closedConnectionIds.size());
+ assertTrue(closedConnectionIds.contains(firstConnectionId));
+ assertTrue(closedConnectionIds.contains(secondConnectionId));
+ assertFalse(manager.isOpen(firstConnectionId));
+ assertFalse(manager.isOpen(secondConnectionId));
+ assertTrue(manager.isOpen(thirdConnectionId));
+ }
+}
diff --git a/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/WayangJdbcServerJavaClientTest.java b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/WayangJdbcServerJavaClientTest.java
new file mode 100644
index 000000000..f3aa76537
--- /dev/null
+++ b/wayang-jdbc/wayang-jdbc-server/src/test/java/org/apache/wayang/jdbc/server/WayangJdbcServerJavaClientTest.java
@@ -0,0 +1,492 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.wayang.jdbc.server;
+
+import org.apache.calcite.sql.parser.SqlParseException;
+import org.apache.wayang.api.sql.context.SqlColumn;
+import org.apache.wayang.api.sql.context.SqlQueryResult;
+import org.apache.wayang.basic.data.Record;
+import org.apache.wayang.jdbc.driver.WayangDriver;
+import org.apache.wayang.jdbc.protocol.message.ColumnInfo;
+import org.apache.wayang.jdbc.protocol.message.GetColumnsRequest;
+import org.apache.wayang.jdbc.protocol.message.GetSchemasRequest;
+import org.apache.wayang.jdbc.protocol.message.GetTablesRequest;
+import org.apache.wayang.jdbc.protocol.message.MetadataResultResponse;
+import org.apache.wayang.jdbc.protocol.message.MetadataType;
+
+import org.junit.jupiter.api.BeforeAll;
+import org.junit.jupiter.api.Test;
+
+import java.math.BigDecimal;
+import java.sql.Connection;
+import java.sql.DatabaseMetaData;
+import java.sql.Date;
+import java.sql.DriverManager;
+import java.sql.ResultSet;
+import java.sql.ResultSetMetaData;
+import java.sql.SQLException;
+import java.sql.SQLFeatureNotSupportedException;
+import java.sql.Statement;
+import java.sql.Types;
+import java.time.LocalDate;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+
+import static org.junit.jupiter.api.Assertions.assertArrayEquals;
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertInstanceOf;
+import static org.junit.jupiter.api.Assertions.assertNotNull;
+import static org.junit.jupiter.api.Assertions.assertThrows;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+class WayangJdbcServerJavaClientTest {
+
+ @BeforeAll
+ static void registerDriver() throws Exception {
+ Class.forName(WayangDriver.class.getName());
+ }
+
+ @Test
+ void driverManagerClientExecutesSelectWithPagingAndTypedGetters() throws Exception {
+ final FakeQueryExecutor executor = new FakeQueryExecutor();
+ try (WayangJdbcServer server = new WayangJdbcServer(
+ "127.0.0.1",
+ 0,
+ executor,
+ new FakeMetadataProvider()
+ )) {
+ server.start();
+
+ try (Connection connection = DriverManager.getConnection(this.url(server), "test-user", "test-password");
+ Statement statement = connection.createStatement()) {
+ assertTrue(connection.isReadOnly());
+ assertTrue(connection.getAutoCommit());
+ assertEquals("analytics", connection.getCatalog());
+ assertTrue(connection.isValid(1));
+
+ statement.setFetchSize(2);
+
+ try (ResultSet resultSet = statement.executeQuery("SELECT * FROM people ORDER BY ID")) {
+ final ResultSetMetaData metaData = resultSet.getMetaData();
+ assertEquals(6, metaData.getColumnCount());
+ assertEquals("ID", metaData.getColumnLabel(1));
+ assertEquals(Types.INTEGER, metaData.getColumnType(1));
+ assertEquals(Types.DECIMAL, metaData.getColumnType(3));
+ assertEquals(ResultSetMetaData.columnNullable, metaData.isNullable(3));
+
+ assertTrue(resultSet.next());
+ assertEquals(1, resultSet.getInt("id"));
+ assertEquals(Integer.valueOf(1), resultSet.getObject("ID", Integer.class));
+ assertEquals("alice", resultSet.getString("NAME"));
+ assertFalse(resultSet.wasNull());
+ assertEquals(0, new BigDecimal("10.50").compareTo(resultSet.getBigDecimal("AMOUNT")));
+ assertTrue(resultSet.getBoolean("ACTIVE"));
+ assertEquals(Date.valueOf(LocalDate.of(2026, 7, 27)), resultSet.getObject("CREATED_ON"));
+ assertArrayEquals(new byte[]{1, 2, 3}, resultSet.getBytes("PAYLOAD"));
+
+ assertTrue(resultSet.next());
+ assertEquals(2, resultSet.getInt(1));
+ assertEquals("bob", resultSet.getString(2));
+
+ assertTrue(resultSet.next());
+ assertEquals(3, resultSet.getInt(1));
+ assertNullValueWasReported(resultSet);
+
+ assertTrue(resultSet.next());
+ assertEquals(4, resultSet.getInt(1));
+
+ assertTrue(resultSet.next());
+ assertEquals(5, resultSet.getInt(1));
+ assertFalse(resultSet.next());
+ }
+ }
+ }
+
+ assertEquals(List.of("SELECT * FROM people ORDER BY ID"), executor.getExecutedSql());
+ }
+
+ @Test
+ void javaClientRejectsWritesBeforeExecution() throws Exception {
+ final FakeQueryExecutor executor = new FakeQueryExecutor();
+ try (WayangJdbcServer server = new WayangJdbcServer(
+ "127.0.0.1",
+ 0,
+ executor,
+ new FakeMetadataProvider()
+ )) {
+ server.start();
+
+ try (Connection connection = DriverManager.getConnection(this.url(server));
+ Statement statement = connection.createStatement()) {
+ final SQLFeatureNotSupportedException exception = assertThrows(
+ SQLFeatureNotSupportedException.class,
+ () -> statement.executeQuery("INSERT INTO people VALUES (1, 'blocked')")
+ );
+
+ assertEquals("0A000", exception.getSQLState());
+ assertEquals(Collections.emptyList(), executor.getExecutedSql());
+ }
+ }
+ }
+
+ @Test
+ void javaClientBrowsesDatabaseMetadata() throws Exception {
+ final FakeMetadataProvider metadataProvider = new FakeMetadataProvider();
+ try (WayangJdbcServer server = new WayangJdbcServer(
+ "127.0.0.1",
+ 0,
+ new FakeQueryExecutor(),
+ metadataProvider
+ )) {
+ server.start();
+
+ try (Connection connection = DriverManager.getConnection(this.url(server));
+ ResultSet schemas = connection.getMetaData().getSchemas("analytics", "pub%");
+ ResultSet tables = connection.getMetaData().getTables(
+ "analytics",
+ "public",
+ "PEOPLE",
+ new String[]{"TABLE"}
+ );
+ ResultSet columns = connection.getMetaData().getColumns(
+ "analytics",
+ "public",
+ "PEOPLE",
+ "%"
+ )) {
+ final DatabaseMetaData metaData = connection.getMetaData();
+ assertTrue(metaData.isReadOnly());
+ assertTrue(metaData.supportsResultSetType(ResultSet.TYPE_FORWARD_ONLY));
+ assertTrue(metaData.supportsResultSetConcurrency(
+ ResultSet.TYPE_FORWARD_ONLY,
+ ResultSet.CONCUR_READ_ONLY
+ ));
+ assertFalse(metaData.supportsTransactions());
+
+ assertTrue(schemas.next());
+ assertEquals("public", schemas.getString("TABLE_SCHEM"));
+ assertEquals("analytics", schemas.getString("TABLE_CATALOG"));
+ assertFalse(schemas.next());
+
+ assertTrue(tables.next());
+ assertEquals("analytics", tables.getString("TABLE_CAT"));
+ assertEquals("public", tables.getString("TABLE_SCHEM"));
+ assertEquals("PEOPLE", tables.getString("TABLE_NAME"));
+ assertEquals("TABLE", tables.getString("TABLE_TYPE"));
+ assertFalse(tables.next());
+
+ assertTrue(columns.next());
+ assertEquals("ID", columns.getString("COLUMN_NAME"));
+ assertEquals(Types.INTEGER, columns.getInt("DATA_TYPE"));
+ assertEquals(1, columns.getInt("ORDINAL_POSITION"));
+
+ assertTrue(columns.next());
+ assertEquals("NAME", columns.getString("COLUMN_NAME"));
+ assertEquals(Types.VARCHAR, columns.getInt("DATA_TYPE"));
+ assertEquals(2, columns.getInt("ORDINAL_POSITION"));
+ assertFalse(columns.next());
+ }
+ }
+
+ assertEquals("analytics", metadataProvider.getLastSchemasRequest().getCatalog());
+ assertEquals("pub%", metadataProvider.getLastSchemasRequest().getSchemaPattern());
+ assertEquals("PEOPLE", metadataProvider.getLastTablesRequest().getTableNamePattern());
+ assertArrayEquals(
+ new String[]{"TABLE"},
+ metadataProvider.getLastTablesRequest().getTableTypes().toArray(new String[0])
+ );
+ assertEquals("%", metadataProvider.getLastColumnsRequest().getColumnNamePattern());
+ }
+
+ @Test
+ void isValidUsesServerPing() throws Exception {
+ final Connection connection;
+ final WayangJdbcServer server = new WayangJdbcServer(
+ "127.0.0.1",
+ 0,
+ new FakeQueryExecutor(),
+ new FakeMetadataProvider()
+ );
+ server.start();
+ connection = DriverManager.getConnection(this.url(server));
+ assertTrue(connection.isValid(1));
+
+ server.close();
+ assertFalse(connection.isValid(1));
+ connection.close();
+ }
+
+ private String url(final WayangJdbcServer server) {
+ return "jdbc:wayang://127.0.0.1:" + server.getPort() + "/analytics?connectTimeout=5000";
+ }
+
+ private static void assertNullValueWasReported(final ResultSet resultSet) throws SQLException {
+ assertEquals(0, resultSet.getInt("AMOUNT"));
+ assertTrue(resultSet.wasNull());
+ assertEquals(null, resultSet.getString("PAYLOAD"));
+ assertTrue(resultSet.wasNull());
+ }
+
+ private static ColumnInfo column(final String name, final int jdbcType) {
+ return new ColumnInfo(
+ name,
+ name,
+ null,
+ null,
+ jdbcTypeName(jdbcType),
+ jdbcType,
+ ResultSetMetaData.columnNullable,
+ 64,
+ 0
+ );
+ }
+
+ private static String jdbcTypeName(final int jdbcType) {
+ switch (jdbcType) {
+ case Types.INTEGER:
+ return "INTEGER";
+ case Types.DECIMAL:
+ return "DECIMAL";
+ case Types.BOOLEAN:
+ return "BOOLEAN";
+ case Types.DATE:
+ return "DATE";
+ case Types.VARBINARY:
+ return "VARBINARY";
+ default:
+ return "VARCHAR";
+ }
+ }
+
+ private static class FakeQueryExecutor implements SqlQueryExecutor {
+
+ private final List executedSql = new ArrayList<>();
+
+ @Override
+ public SqlQueryResult execute(final String sql) throws SqlParseException {
+ this.executedSql.add(sql);
+ return new SqlQueryResult(
+ Arrays.asList(
+ new SqlColumn("ID", "ID", "INTEGER", Types.INTEGER, 10, 0, false),
+ new SqlColumn("NAME", "NAME", "VARCHAR", Types.VARCHAR, 64, 0, true),
+ new SqlColumn("AMOUNT", "AMOUNT", "DECIMAL", Types.DECIMAL, 10, 2, true),
+ new SqlColumn("ACTIVE", "ACTIVE", "BOOLEAN", Types.BOOLEAN, 1, 0, false),
+ new SqlColumn("CREATED_ON", "CREATED_ON", "DATE", Types.DATE, 10, 0, true),
+ new SqlColumn("PAYLOAD", "PAYLOAD", "VARBINARY", Types.VARBINARY, 64, 0, true)
+ ),
+ Arrays.asList(
+ new Record(
+ 1,
+ "alice",
+ new BigDecimal("10.50"),
+ true,
+ LocalDate.of(2026, 7, 27),
+ new byte[]{1, 2, 3}
+ ),
+ new Record(
+ 2,
+ "bob",
+ new BigDecimal("20.00"),
+ false,
+ LocalDate.of(2026, 7, 28),
+ new byte[]{4, 5, 6}
+ ),
+ new Record(3, "charlie", null, true, null, null),
+ new Record(
+ 4,
+ "dana",
+ new BigDecimal("40.25"),
+ false,
+ LocalDate.of(2026, 7, 29),
+ new byte[]{7}
+ ),
+ new Record(
+ 5,
+ "erin",
+ new BigDecimal("50.75"),
+ true,
+ LocalDate.of(2026, 7, 30),
+ new byte[]{8, 9}
+ )
+ )
+ );
+ }
+
+ List getExecutedSql() {
+ return List.copyOf(this.executedSql);
+ }
+ }
+
+ private static class FakeMetadataProvider implements SqlMetadataProvider {
+
+ private GetSchemasRequest lastSchemasRequest;
+
+ private GetTablesRequest lastTablesRequest;
+
+ private GetColumnsRequest lastColumnsRequest;
+
+ @Override
+ public MetadataResultResponse getSchemas(
+ final JdbcServerSession session,
+ final GetSchemasRequest request
+ ) {
+ this.lastSchemasRequest = request;
+ return new MetadataResultResponse(
+ session.getConnectionId(),
+ MetadataType.SCHEMAS,
+ Arrays.asList(column("TABLE_SCHEM", Types.VARCHAR), column("TABLE_CATALOG", Types.VARCHAR)),
+ Collections.singletonList(Arrays.asList("public", "analytics"))
+ );
+ }
+
+ @Override
+ public MetadataResultResponse getTables(
+ final JdbcServerSession session,
+ final GetTablesRequest request
+ ) {
+ this.lastTablesRequest = request;
+ return new MetadataResultResponse(
+ session.getConnectionId(),
+ MetadataType.TABLES,
+ Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("TABLE_TYPE", Types.VARCHAR),
+ column("REMARKS", Types.VARCHAR),
+ column("TYPE_CAT", Types.VARCHAR),
+ column("TYPE_SCHEM", Types.VARCHAR),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("SELF_REFERENCING_COL_NAME", Types.VARCHAR),
+ column("REF_GENERATION", Types.VARCHAR)
+ ),
+ Collections.singletonList(Arrays.asList(
+ "analytics",
+ "public",
+ "PEOPLE",
+ "TABLE",
+ null,
+ null,
+ null,
+ null,
+ null,
+ null
+ ))
+ );
+ }
+
+ @Override
+ public MetadataResultResponse getColumns(
+ final JdbcServerSession session,
+ final GetColumnsRequest request
+ ) {
+ this.lastColumnsRequest = request;
+ return new MetadataResultResponse(
+ session.getConnectionId(),
+ MetadataType.COLUMNS,
+ Arrays.asList(
+ column("TABLE_CAT", Types.VARCHAR),
+ column("TABLE_SCHEM", Types.VARCHAR),
+ column("TABLE_NAME", Types.VARCHAR),
+ column("COLUMN_NAME", Types.VARCHAR),
+ column("DATA_TYPE", Types.INTEGER),
+ column("TYPE_NAME", Types.VARCHAR),
+ column("COLUMN_SIZE", Types.INTEGER),
+ column("BUFFER_LENGTH", Types.INTEGER),
+ column("DECIMAL_DIGITS", Types.INTEGER),
+ column("NUM_PREC_RADIX", Types.INTEGER),
+ column("NULLABLE", Types.INTEGER),
+ column("REMARKS", Types.VARCHAR),
+ column("COLUMN_DEF", Types.VARCHAR),
+ column("SQL_DATA_TYPE", Types.INTEGER),
+ column("SQL_DATETIME_SUB", Types.INTEGER),
+ column("CHAR_OCTET_LENGTH", Types.INTEGER),
+ column("ORDINAL_POSITION", Types.INTEGER),
+ column("IS_NULLABLE", Types.VARCHAR),
+ column("SCOPE_CATALOG", Types.VARCHAR),
+ column("SCOPE_SCHEMA", Types.VARCHAR),
+ column("SCOPE_TABLE", Types.VARCHAR),
+ column("SOURCE_DATA_TYPE", Types.SMALLINT),
+ column("IS_AUTOINCREMENT", Types.VARCHAR),
+ column("IS_GENERATEDCOLUMN", Types.VARCHAR)
+ ),
+ Arrays.asList(
+ columnRow("ID", Types.INTEGER, "INTEGER", 10, 0, 1, "NO"),
+ columnRow("NAME", Types.VARCHAR, "VARCHAR", 64, 0, 2, "YES")
+ )
+ );
+ }
+
+ GetSchemasRequest getLastSchemasRequest() {
+ assertNotNull(this.lastSchemasRequest);
+ return this.lastSchemasRequest;
+ }
+
+ GetTablesRequest getLastTablesRequest() {
+ assertNotNull(this.lastTablesRequest);
+ return this.lastTablesRequest;
+ }
+
+ GetColumnsRequest getLastColumnsRequest() {
+ assertNotNull(this.lastColumnsRequest);
+ return this.lastColumnsRequest;
+ }
+
+ private static List columnRow(
+ final String columnName,
+ final int jdbcType,
+ final String typeName,
+ final int precision,
+ final int scale,
+ final int ordinal,
+ final String nullable
+ ) {
+ return Arrays.asList(
+ "analytics",
+ "public",
+ "PEOPLE",
+ columnName,
+ jdbcType,
+ typeName,
+ precision,
+ null,
+ scale,
+ jdbcType == Types.INTEGER ? 10 : null,
+ "YES".equals(nullable)
+ ? DatabaseMetaData.columnNullable
+ : DatabaseMetaData.columnNoNulls,
+ null,
+ null,
+ null,
+ null,
+ jdbcType == Types.VARCHAR ? precision : null,
+ ordinal,
+ nullable,
+ null,
+ null,
+ null,
+ null,
+ "NO",
+ "NO"
+ );
+ }
+ }
+}